2 Commits
v0.1 ... v0.2.0

16 changed files with 785 additions and 1148 deletions

View File

@@ -10,16 +10,10 @@ uuid = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
version = "0.5.0"
[[BinaryProvider]]
deps = ["Libdl", "Logging", "SHA"]
git-tree-sha1 = "428e9106b1ff27593cbd979afac9b45b82372b8c"
deps = ["Libdl", "SHA"]
git-tree-sha1 = "5b08ed6036d9d3f0ee6369410b830f8873d4024c"
uuid = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
version = "0.5.9"
[[Bzip2_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "3663bfffede2ef41358b6fc2e1d8a6d50b3c3904"
uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0"
version = "1.0.6+2"
version = "0.5.8"
[[Calculus]]
deps = ["LinearAlgebra"]
@@ -29,27 +23,33 @@ version = "0.5.1"
[[Cbc]]
deps = ["BinaryProvider", "Libdl", "MathOptInterface", "MathProgBase", "SparseArrays", "Test"]
git-tree-sha1 = "62d80f448b5d77b3f0a59cecf6197aad2a3aa280"
git-tree-sha1 = "0d51c2d66fc22e5e3fc64b6092ba0f0b3839c8c1"
uuid = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
version = "0.6.7"
version = "0.6.6"
[[Clp]]
deps = ["BinaryProvider", "Libdl", "LinearAlgebra", "MathOptInterface", "MathProgBase", "SparseArrays"]
git-tree-sha1 = "0872354eaeb05a86e400f45abaac1dc93da7bf76"
uuid = "e2554f3b-3117-50c0-817c-e040a3ddf72d"
version = "0.7.1"
[[CodeTracking]]
deps = ["InteractiveUtils", "UUIDs"]
git-tree-sha1 = "cab4da992adc0a64f63fa30d2db2fd8bec40cab4"
git-tree-sha1 = "0becdab7e6fbbcb7b88d8de5b72e5bb2f28239f3"
uuid = "da1fd8a2-8d9e-5ec2-8556-3022fb5608a2"
version = "0.5.11"
version = "0.5.8"
[[CodecBzip2]]
deps = ["Bzip2_jll", "Libdl", "TranscodingStreams"]
git-tree-sha1 = "2fee975d68f9a8b22187ae86e33c0829b30cf231"
deps = ["BinaryProvider", "Libdl", "TranscodingStreams"]
git-tree-sha1 = "5db086e510c11b4c87d05067627eadb2dc079995"
uuid = "523fee87-0ab8-5b00-afb7-3ecf72e48cfd"
version = "0.7.1"
version = "0.6.0"
[[CodecZlib]]
deps = ["TranscodingStreams", "Zlib_jll"]
git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da"
deps = ["BinaryProvider", "Libdl", "TranscodingStreams"]
git-tree-sha1 = "05916673a2627dd91b4969ff8ba6941bc85a960e"
uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
version = "0.7.0"
version = "0.6.0"
[[CommonSubexpressions]]
deps = ["Test"]
@@ -59,21 +59,21 @@ version = "0.2.0"
[[CompilerSupportLibraries_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "7c4f882c41faa72118841185afc58a2eb00ef612"
git-tree-sha1 = "b57c5d019367c90f234a7bc7e24ff0a84971da5d"
uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
version = "0.3.3+0"
version = "0.2.0+1"
[[CoordinateTransformations]]
deps = ["LinearAlgebra", "StaticArrays"]
git-tree-sha1 = "c230b1d94db9fdd073168830437e64b9db627fcb"
deps = ["LinearAlgebra", "Rotations", "StaticArrays"]
git-tree-sha1 = "71333ea3f841bca6c1aa2863f11758eb9b37bfbc"
uuid = "150eb455-5306-5404-9cee-2592286d6298"
version = "0.6.0"
version = "0.5.1"
[[DataStructures]]
deps = ["InteractiveUtils", "OrderedCollections"]
git-tree-sha1 = "7d7578b00789cf16c5f68fad71868e773edd58a2"
git-tree-sha1 = "5a431d46abf2ef2a4d5d00bd0ae61f651cf854c8"
uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
version = "0.17.16"
version = "0.17.10"
[[Dates]]
deps = ["Printf"]
@@ -100,9 +100,9 @@ uuid = "7b1f6079-737a-58dc-b8bc-7a2ca5c1b5ee"
[[ForwardDiff]]
deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "NaNMath", "Random", "SpecialFunctions", "StaticArrays"]
git-tree-sha1 = "869540e4367122fbffaace383a5bdc34d6e5e5ac"
git-tree-sha1 = "88b082d492be6b63f967b6c96b352e25ced1a34c"
uuid = "f6369f11-7733-5829-9624-2563aa707210"
version = "0.10.10"
version = "0.10.9"
[[Geodesy]]
deps = ["CoordinateTransformations", "Dates", "LinearAlgebra", "StaticArrays", "Test"]
@@ -112,9 +112,9 @@ version = "0.5.0"
[[HTTP]]
deps = ["Base64", "Dates", "IniFile", "MbedTLS", "Sockets"]
git-tree-sha1 = "fe31f4ff144392ad8176f5c7c03cca6ba320271c"
git-tree-sha1 = "8d9bdd55c9d0d6ddf08f8b5229f90b7f274b6777"
uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3"
version = "0.8.14"
version = "0.8.12"
[[IniFile]]
deps = ["Test"]
@@ -140,18 +140,17 @@ version = "0.2.0"
[[JuMP]]
deps = ["Calculus", "DataStructures", "ForwardDiff", "LinearAlgebra", "MathOptInterface", "MutableArithmetics", "NaNMath", "Random", "SparseArrays", "Statistics"]
git-tree-sha1 = "84c1cf8bec4729b8b2ef4dfc4e1db1b892ad0d30"
git-tree-sha1 = "8e87337fd19b6717fd9d5324bfab99848e363d9f"
uuid = "4076af6c-e467-56ae-b986-b466b2749572"
version = "0.21.2"
version = "0.21.1"
[[JuliaInterpreter]]
deps = ["CodeTracking", "InteractiveUtils", "Random", "UUIDs"]
git-tree-sha1 = "4ab65b7deb5af83f022f26ad3351a3bd5d80c6e2"
git-tree-sha1 = "2eadbbde5534346cbb837c3a75b377cba477a06d"
uuid = "aa1ae85d-cabe-5617-a682-6adf51b2e16a"
version = "0.7.16"
version = "0.7.13"
[[LibGit2]]
deps = ["Printf"]
uuid = "76f85450-5226-5b5a-8eaa-529ad045b433"
[[Libdl]]
@@ -166,9 +165,9 @@ uuid = "56ddb016-857b-54e1-b83d-db4d58db5568"
[[LoweredCodeUtils]]
deps = ["JuliaInterpreter"]
git-tree-sha1 = "225f0035f01c24858c0884f38bb519e22b0a5150"
git-tree-sha1 = "1c41621653250b2824b6e664ac5bd805558aeff9"
uuid = "6f1432cf-f94c-5a45-995e-cdbf5db27b0b"
version = "0.4.5"
version = "0.4.3"
[[Markdown]]
deps = ["Base64"]
@@ -176,9 +175,9 @@ uuid = "d6f4376e-aef5-505a-96c1-9c027394607a"
[[MathOptInterface]]
deps = ["BenchmarkTools", "CodecBzip2", "CodecZlib", "JSON", "JSONSchema", "LinearAlgebra", "MutableArithmetics", "OrderedCollections", "SparseArrays", "Test", "Unicode"]
git-tree-sha1 = "27f2ef85879b8f1d144266ab44f076ba0dfbd8a1"
git-tree-sha1 = "f0d60e42d8b64dd1b511e2dc13e0b72ba1dfc9cf"
uuid = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
version = "0.9.13"
version = "0.9.12"
[[MathProgBase]]
deps = ["LinearAlgebra", "SparseArrays"]
@@ -188,24 +187,24 @@ version = "0.7.8"
[[MbedTLS]]
deps = ["Dates", "MbedTLS_jll", "Random", "Sockets"]
git-tree-sha1 = "426a6978b03a97ceb7ead77775a1da066343ec6e"
git-tree-sha1 = "a9e2221f06b42f56052f43ad7edecb01d0ef5ab4"
uuid = "739be429-bea8-5141-9913-cc70e7f3736d"
version = "1.0.2"
version = "1.0.1"
[[MbedTLS_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "c83f5a1d038f034ad0549f9ee4d5fac3fb429e33"
git-tree-sha1 = "066a4467008745eed36dad973ceb66405785a621"
uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1"
version = "2.16.0+2"
version = "2.16.0+1"
[[Mmap]]
uuid = "a63ad114-7e13-5084-954f-fe012c677804"
[[MutableArithmetics]]
deps = ["LinearAlgebra", "SparseArrays", "Test"]
git-tree-sha1 = "e1edd618a8f39d16f8595dd622a63b25f759cf8a"
git-tree-sha1 = "020d4f22e1151e0613edf91a56535379564c1ce8"
uuid = "d8a4904e-b15c-11e9-3269-09a3773c0cb0"
version = "0.2.9"
version = "0.2.7"
[[NaNMath]]
git-tree-sha1 = "928b8ca9b2791081dc71a51c55347c27c618760f"
@@ -219,18 +218,19 @@ uuid = "efe28fd5-8261-553b-a9e1-b2916fc3738e"
version = "0.5.3+3"
[[OrderedCollections]]
git-tree-sha1 = "12ce190210d278e12644bcadf5b21cbdcf225cd3"
deps = ["Random", "Serialization", "Test"]
git-tree-sha1 = "c4c13474d23c60d20a67b217f1d7f22a40edf8f1"
uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
version = "1.2.0"
version = "1.1.0"
[[Parsers]]
deps = ["Dates", "Test"]
git-tree-sha1 = "f0abb338b4d00306500056a3fd44c221b8473ef2"
git-tree-sha1 = "0c16b3179190d3046c073440d94172cfc3bb0553"
uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
version = "1.0.4"
version = "0.3.12"
[[Pkg]]
deps = ["Dates", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "UUIDs"]
deps = ["Dates", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Test", "UUIDs"]
uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
[[Printf]]
@@ -239,9 +239,9 @@ uuid = "de0858da-6303-5e67-8744-51eddeeeb8d7"
[[ProgressBars]]
deps = ["Printf"]
git-tree-sha1 = "fec529e15cccf342087de2ccda1b0b9064cbbb53"
git-tree-sha1 = "e66732bbdaad368cfc642cef1f639df5812dc818"
uuid = "49802e3a-d2f1-5c88-81d8-b72133a6f568"
version = "0.7.1"
version = "0.6.0"
[[REPL]]
deps = ["InteractiveUtils", "Markdown", "Sockets"]
@@ -253,9 +253,15 @@ uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
[[Revise]]
deps = ["CodeTracking", "Distributed", "FileWatching", "JuliaInterpreter", "LibGit2", "LoweredCodeUtils", "OrderedCollections", "Pkg", "REPL", "UUIDs", "Unicode"]
git-tree-sha1 = "3185d2ee31756af9e20ce045ddfaedcd0df9e4aa"
git-tree-sha1 = "3c04c929f8720c2fabb12534cd102a2356a7705c"
uuid = "295af30f-e4ad-537b-8983-00126c2a3abe"
version = "2.6.6"
version = "2.5.4"
[[Rotations]]
deps = ["LinearAlgebra", "StaticArrays", "Statistics"]
git-tree-sha1 = "d5f83867093db7319a9366d55f29280ecae9bcda"
uuid = "6038ab10-8711-5258-84ad-4b1120ba62dc"
version = "0.13.0"
[[SHA]]
uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
@@ -272,15 +278,15 @@ uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
[[SpecialFunctions]]
deps = ["OpenSpecFun_jll"]
git-tree-sha1 = "d8d8b8a9f4119829410ecd706da4cc8594a1e020"
git-tree-sha1 = "e19b98acb182567bcb7b75bb5d9eedf3a3b5ec6c"
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version = "0.10.0"
[[StaticArrays]]
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git-tree-sha1 = "5a3bcb6233adabde68ebc97be66e95dcb787424c"
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version = "0.12.3"
version = "0.12.1"
[[Statistics]]
deps = ["LinearAlgebra", "SparseArrays"]
@@ -302,9 +308,3 @@ uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
[[Unicode]]
uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
[[Zlib_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "a2e0d558f6031002e380a90613b199e37a8565bf"
uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
version = "1.2.11+10"

View File

@@ -1,10 +1,11 @@
name = "RELOG"
uuid = "a2afcdf7-cf04-4913-85f9-c0d81ddf2008"
authors = ["Alinson S Xavier <axavier@anl.gov>"]
version = "0.1.0"
version = "0.2.0"
[deps]
Cbc = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
Clp = "e2554f3b-3117-50c0-817c-e040a3ddf72d"
Geodesy = "0ef565a4-170c-5f04-8de2-149903a85f3d"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
JSONSchema = "7d188eb4-7ad8-530c-ae41-71a32a6d4692"
@@ -23,4 +24,4 @@ JSON = "0.21"
JSONSchema = "0.2"
JuMP = "0.21"
MathOptInterface = "0.9"
ProgressBars = "0.7"
ProgressBars = "0.6"

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@@ -275,6 +275,6 @@ POSSIBILITY OF SUCH DAMAGE.
</html>
<!--
MkDocs version : 1.1
Build Date UTC : 2020-05-22 20:22:06
MkDocs version : 1.0.4
Build Date UTC : 2020-06-05 20:38:00
-->

View File

@@ -154,21 +154,21 @@
</thead>
<tbody>
<tr>
<td align="left"><code>time periods</code></td>
<td>Number of time periods in the simulation.</td>
<td align="left"><code>Time horizon (years)</code></td>
<td>Number of years in the simulation.</td>
</tr>
</tbody>
</table>
<h3 id="example">Example</h3>
<pre><code class="json">{
&quot;parameters&quot;: {
&quot;time periods&quot;: 2
&quot;Parameters&quot;: {
&quot;Time horizon (years)&quot;: 2
}
}
</code></pre>
<h2 id="products">Products</h2>
<p>The <strong>products</strong> section describes all products and subproducts in the simulation. The field <code>instance["products"]</code> is a dictionary mapping the name of the product to a dictionary which describes its characteristics. Each product description contains the following keys:</p>
<p>The <strong>products</strong> section describes all products and subproducts in the simulation. The field <code>instance["Products"]</code> is a dictionary mapping the name of the product to a dictionary which describes its characteristics. Each product description contains the following keys:</p>
<table>
<thead>
<tr>
@@ -178,11 +178,11 @@
</thead>
<tbody>
<tr>
<td align="left"><code>transportation cost</code></td>
<td>The cost (in dollars per km per tonnes) to transport this product. Must be a timeseries.</td>
<td align="left"><code>Transportation cost ($/km/tonne)</code></td>
<td>The cost to transport this product. Must be a timeseries.</td>
</tr>
<tr>
<td align="left"><code>initial amounts</code></td>
<td align="left"><code>Initial amounts</code></td>
<td>A dictionary mapping the name of each location to its description (see below). If this product is not initially available, this key may be omitted. Must be a timeseries.</td>
</tr>
</tbody>
@@ -197,57 +197,57 @@
</thead>
<tbody>
<tr>
<td align="left"><code>latitude</code></td>
<td>The latitude of the location, in degrees.</td>
<td align="left"><code>Latitude (deg)</code></td>
<td>The latitude of the location.</td>
</tr>
<tr>
<td align="left"><code>longitude</code></td>
<td>The longitude of the location, in degrees.</td>
<td align="left"><code>Longitude (deg)</code></td>
<td>The longitude of the location.</td>
</tr>
<tr>
<td align="left"><code>amount</code></td>
<td>The amount (in tonnes) of the product initially available at the location. Must be a timeseries.</td>
<td align="left"><code>Amount (tonne)</code></td>
<td>The amount of the product initially available at the location. Must be a timeseries.</td>
</tr>
</tbody>
</table>
<h3 id="example_1">Example</h3>
<pre><code class="json">{
&quot;products&quot;: {
&quot;Products&quot;: {
&quot;P1&quot;: {
&quot;transportation cost&quot;: [0.015, 0.015],
&quot;initial amounts&quot;: {
&quot;Transportation cost ($/km/tonne)&quot;: [0.015, 0.015],
&quot;Initial amounts&quot;: {
&quot;C1&quot;: {
&quot;latitude&quot;: 7.0,
&quot;longitude&quot;: 7.0,
&quot;amount&quot;: [934.56, 934.56]
&quot;Latitude (deg)&quot;: 7.0,
&quot;Longitude (deg)&quot;: 7.0,
&quot;Amount (tonne)&quot;: [934.56, 934.56]
},
&quot;C2&quot;: {
&quot;latitude&quot;: 7.0,
&quot;longitude&quot;: 19.0,
&quot;amount&quot;: [198.95, 198.95]
&quot;Latitude (deg)&quot;: 7.0,
&quot;Longitude (deg)&quot;: 19.0,
&quot;Amount (tonne)&quot;: [198.95, 198.95]
},
&quot;C3&quot;: {
&quot;latitude&quot;: 84.0,
&quot;longitude&quot;: 76.0,
&quot;amount&quot;: [212.97, 212.97]
&quot;Latitude (deg)&quot;: 84.0,
&quot;Longitude (deg)&quot;: 76.0,
&quot;Amount (tonne)&quot;: [212.97, 212.97]
}
}
},
&quot;P2&quot;: {
&quot;transportation cost&quot;: [0.02, 0.02]
&quot;Transportation cost ($/km/tonne)&quot;: [0.02, 0.02]
},
&quot;P3&quot;: {
&quot;transportation cost&quot;: [0.0125, 0.0125]
&quot;Transportation cost ($/km/tonne)&quot;: [0.0125, 0.0125]
},
&quot;P4&quot;: {
&quot;transportation cost&quot;: [0.0175, 0.0175]
&quot;Transportation cost ($/km/tonne)&quot;: [0.0175, 0.0175]
}
}
}
</code></pre>
<h2 id="processing-plants">Processing Plants</h2>
<p>The <strong>plants</strong> section describes the available types of reverse manufacturing plants, their potential locations and associated costs, as well as their inputs and outputs. The field <code>instance["plants"]</code> is a dictionary mapping the name of the plant to a dictionary with the following keys:</p>
<p>The <strong>plants</strong> section describes the available types of reverse manufacturing plants, their potential locations and associated costs, as well as their inputs and outputs. The field <code>instance["Plants"]</code> is a dictionary mapping the name of the plant to a dictionary with the following keys:</p>
<table>
<thead>
<tr>
@@ -257,15 +257,15 @@
</thead>
<tbody>
<tr>
<td align="left"><code>input</code></td>
<td align="left"><code>Input</code></td>
<td>The name of the product that this plant takes as input. Only one input is accepted per plant.</td>
</tr>
<tr>
<td align="left"><code>outputs</code></td>
<td align="left"><code>Outputs (tonne)</code></td>
<td>A dictionary specifying how many tonnes of each product is produced for each tonnes of input. For example, if the plant outputs 0.5 tonnes of P2 and 0.25 tonnes of P3 for each tonnes of P1 provided, then this entry should be <code>{"P2": 0.5, "P3": 0.25}</code>. If the plant does not output anything, this key may be omitted.</td>
</tr>
<tr>
<td align="left"><code>locations</code></td>
<td align="left"><code>Locations</code></td>
<td>A dictionary mapping the name of the location to a dictionary which describes the site characteristics (see below).</td>
</tr>
</tbody>
@@ -280,19 +280,19 @@
</thead>
<tbody>
<tr>
<td align="left"><code>latitude</code></td>
<td align="left"><code>Latitude (deg)</code></td>
<td>The latitude of the location, in degrees.</td>
</tr>
<tr>
<td align="left"><code>longitude</code></td>
<td align="left"><code>Longitude (deg)</code></td>
<td>The longitude of the location, in degrees.</td>
</tr>
<tr>
<td align="left"><code>disposal</code></td>
<td align="left"><code>Disposal</code></td>
<td>A dictionary describing what products can be disposed locally at the plant.</td>
</tr>
<tr>
<td align="left"><code>capacities</code></td>
<td align="left"><code>Capacities (tonne)</code></td>
<td>A dictionary describing what plant sizes are allowed, and their characteristics.</td>
</tr>
</tbody>
@@ -307,12 +307,12 @@
</thead>
<tbody>
<tr>
<td align="left"><code>cost</code></td>
<td>The cost (in dollars per tonnes) to dispose of the product. Must be a timeseries.</td>
<td align="left"><code>Cost ($/tonne)</code></td>
<td>The cost to dispose of the product. Must be a timeseries.</td>
</tr>
<tr>
<td align="left"><code>limit</code></td>
<td>The maximum amount (in tonnes) that can be disposed of. If an unlimited amount can be disposed, this key may be omitted. Must be a timeseries.</td>
<td align="left"><code>Limit (tonne)</code></td>
<td>The maximum amount that can be disposed of. If an unlimited amount can be disposed, this key may be omitted. Must be a timeseries.</td>
</tr>
</tbody>
</table>
@@ -326,48 +326,48 @@
</thead>
<tbody>
<tr>
<td align="left"><code>opening cost</code></td>
<td>The cost (in dollars) to open a plant of this size.</td>
<td align="left"><code>Opening cost ($)</code></td>
<td>The cost to open a plant of this size.</td>
</tr>
<tr>
<td align="left"><code>fixed operating cost</code></td>
<td>The cost (in dollars) to keep the plant open, even if the plant doesn't process anything. Must be a timeseries.</td>
<td align="left"><code>Fixed operating cost ($)</code></td>
<td>The cost to keep the plant open, even if the plant doesn't process anything. Must be a timeseries.</td>
</tr>
<tr>
<td align="left"><code>variable operating cost</code></td>
<td>The cost (in dollars per tonnes) that the plant incurs to process each tonne of input. Must be a timeseries.</td>
<td align="left"><code>Variable operating cost ($/tonne)</code></td>
<td>The cost that the plant incurs to process each tonne of input. Must be a timeseries.</td>
</tr>
</tbody>
</table>
<h3 id="example_2">Example</h3>
<pre><code class="json">{
&quot;plants&quot;: {
&quot;Plants&quot;: {
&quot;F1&quot;: {
&quot;input&quot;: &quot;P1&quot;,
&quot;outputs&quot;: {
&quot;Input&quot;: &quot;P1&quot;,
&quot;Outputs (tonne)&quot;: {
&quot;P2&quot;: 0.2,
&quot;P3&quot;: 0.5
},
&quot;locations&quot;: {
&quot;Locations&quot;: {
&quot;L1&quot;: {
&quot;latitude&quot;: 0.0,
&quot;longitude&quot;: 0.0,
&quot;disposal&quot;: {
&quot;Latitude (deg)&quot;: 0.0,
&quot;Longitude (deg)&quot;: 0.0,
&quot;Disposal&quot;: {
&quot;P2&quot;: {
&quot;cost&quot;: [-10.0, -12.0],
&quot;limit&quot;: [1.0, 1.0]
&quot;Cost ($/tonne)&quot;: [-10.0, -12.0],
&quot;Limit (tonne)&quot;: [1.0, 1.0]
}
},
&quot;capacities&quot;: {
&quot;Capacities (tonne)&quot;: {
&quot;100&quot;: {
&quot;opening cost&quot;: [500, 530],
&quot;fixed operating cost&quot;: [300.0, 310.0],
&quot;variable operating cost&quot;: [5.0, 5.2]
&quot;Opening cost ($)&quot;: [500, 530],
&quot;Fixed operating cost ($)&quot;: [300.0, 310.0],
&quot;Variable operating cost ($/tonne)&quot;: [5.0, 5.2]
},
&quot;500&quot;: {
&quot;opening cost&quot;: [750, 760],
&quot;fixed operating cost&quot;: [400.0, 450.0],
&quot;variable operating cost&quot;: [5.0, 5.2]
&quot;Opening cost ($)&quot;: [750, 760],
&quot;Fixed operating cost ($)&quot;: [400.0, 450.0],
&quot;Variable operating cost ($/tonne)&quot;: [5.0, 5.2]
}
}
}

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@@ -1,19 +1,23 @@
<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"><url>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url>
<loc>None</loc>
<lastmod>2020-05-22</lastmod>
<lastmod>2020-06-05</lastmod>
<changefreq>daily</changefreq>
</url><url>
</url>
<url>
<loc>None</loc>
<lastmod>2020-05-22</lastmod>
<lastmod>2020-06-05</lastmod>
<changefreq>daily</changefreq>
</url><url>
</url>
<url>
<loc>None</loc>
<lastmod>2020-05-22</lastmod>
<lastmod>2020-06-05</lastmod>
<changefreq>daily</changefreq>
</url><url>
</url>
<url>
<loc>None</loc>
<lastmod>2020-05-22</lastmod>
<lastmod>2020-06-05</lastmod>
<changefreq>daily</changefreq>
</url>
</urlset>

Binary file not shown.

View File

@@ -1,188 +1,188 @@
{
"parameters": {
"time periods": 2
"Parameters": {
"Time horizon (years)": 2
},
"products": {
"Products": {
"P1": {
"transportation cost": [0.015, 0.015],
"initial amounts": {
"Transportation cost ($/km/tonne)": [0.015, 0.015],
"Initial amounts": {
"C1": {
"latitude": 7.0,
"longitude": 7.0,
"amount": [934.56, 934.56]
"Latitude (deg)": 7.0,
"Longitude (deg)": 7.0,
"Amount (tonne)": [934.56, 934.56]
},
"C2": {
"latitude": 7.0,
"longitude": 19.0,
"amount": [198.95, 198.95]
"Latitude (deg)": 7.0,
"Longitude (deg)": 19.0,
"Amount (tonne)": [198.95, 198.95]
},
"C3": {
"latitude": 84.0,
"longitude": 76.0,
"amount": [212.97, 212.97]
"Latitude (deg)": 84.0,
"Longitude (deg)": 76.0,
"Amount (tonne)": [212.97, 212.97]
},
"C4": {
"latitude": 21.0,
"longitude": 16.0,
"amount": [352.19, 352.19]
"Latitude (deg)": 21.0,
"Longitude (deg)": 16.0,
"Amount (tonne)": [352.19, 352.19]
},
"C5": {
"latitude": 32.0,
"longitude": 92.0,
"amount": [510.33, 510.33]
"Latitude (deg)": 32.0,
"Longitude (deg)": 92.0,
"Amount (tonne)": [510.33, 510.33]
},
"C6": {
"latitude": 14.0,
"longitude": 62.0,
"amount": [471.66, 471.66]
"Latitude (deg)": 14.0,
"Longitude (deg)": 62.0,
"Amount (tonne)": [471.66, 471.66]
},
"C7": {
"latitude": 30.0,
"longitude": 83.0,
"amount": [785.21, 785.21]
"Latitude (deg)": 30.0,
"Longitude (deg)": 83.0,
"Amount (tonne)": [785.21, 785.21]
},
"C8": {
"latitude": 35.0,
"longitude": 40.0,
"amount": [706.17, 706.17]
"Latitude (deg)": 35.0,
"Longitude (deg)": 40.0,
"Amount (tonne)": [706.17, 706.17]
},
"C9": {
"latitude": 74.0,
"longitude": 52.0,
"amount": [30.08, 30.08]
"Latitude (deg)": 74.0,
"Longitude (deg)": 52.0,
"Amount (tonne)": [30.08, 30.08]
},
"C10": {
"latitude": 22.0,
"longitude": 54.0,
"amount": [536.52, 536.52]
"Latitude (deg)": 22.0,
"Longitude (deg)": 54.0,
"Amount (tonne)": [536.52, 536.52]
}
}
},
"P2": {
"transportation cost": [0.02, 0.02]
"Transportation cost ($/km/tonne)": [0.02, 0.02]
},
"P3": {
"transportation cost": [0.0125, 0.0125]
"Transportation cost ($/km/tonne)": [0.0125, 0.0125]
},
"P4": {
"transportation cost": [0.0175, 0.0175]
"Transportation cost ($/km/tonne)": [0.0175, 0.0175]
}
},
"plants": {
"Plants": {
"F1": {
"input": "P1",
"outputs": {
"Input": "P1",
"Outputs (tonne)": {
"P2": 0.2,
"P3": 0.5
},
"locations": {
"Locations": {
"L1": {
"latitude": 0.0,
"longitude": 0.0,
"disposal": {
"Latitude (deg)": 0.0,
"Longitude (deg)": 0.0,
"Disposal": {
"P2": {
"cost": [-10.0, -10.0],
"limit": [1.0, 1.0]
"Cost ($/tonne)": [-10.0, -10.0],
"Limit (tonne)": [1.0, 1.0]
},
"P3": {
"cost": [-10.0, -10.0],
"limit": [1.0, 1.0]
"Cost ($/tonne)": [-10.0, -10.0],
"Limit (tonne)": [1.0, 1.0]
}
},
"capacities": {
"Capacities (tonne)": {
"250.0": {
"opening cost": [500.0, 500.0],
"fixed operating cost": [30.0, 30.0],
"variable operating cost": [30.0, 30.0]
"Opening cost ($)": [500.0, 500.0],
"Fixed operating cost ($)": [30.0, 30.0],
"Variable operating cost ($/tonne)": [30.0, 30.0]
},
"1000.0": {
"opening cost": [1250.0, 1250.0],
"fixed operating cost": [30.0, 30.0],
"variable operating cost": [30.0, 30.0]
"Opening cost ($)": [1250.0, 1250.0],
"Fixed operating cost ($)": [30.0, 30.0],
"Variable operating cost ($/tonne)": [30.0, 30.0]
}
}
},
"L2": {
"latitude": 0.5,
"longitude": 0.5,
"capacities": {
"Latitude (deg)": 0.5,
"Longitude (deg)": 0.5,
"Capacities (tonne)": {
"0.0": {
"opening cost": [1000, 1000],
"fixed operating cost": [50.0, 50.0],
"variable operating cost": [50.0, 50.0]
"Opening cost ($)": [1000, 1000],
"Fixed operating cost ($)": [50.0, 50.0],
"Variable operating cost ($/tonne)": [50.0, 50.0]
},
"10000.0": {
"opening cost": [10000, 10000],
"fixed operating cost": [50.0, 50.0],
"variable operating cost": [50.0, 50.0]
"Opening cost ($)": [10000, 10000],
"Fixed operating cost ($)": [50.0, 50.0],
"Variable operating cost ($/tonne)": [50.0, 50.0]
}
}
}
}
},
"F2": {
"input": "P2",
"outputs": {
"Input": "P2",
"Outputs (tonne)": {
"P3": 0.05,
"P4": 0.80
},
"locations": {
"Locations": {
"L3": {
"latitude": 25.0,
"longitude": 65.0,
"disposal": {
"Latitude (deg)": 25.0,
"Longitude (deg)": 65.0,
"Disposal": {
"P3": {
"cost": [100.0, 100.0]
"Cost ($/tonne)": [100.0, 100.0]
}
},
"capacities": {
"Capacities (tonne)": {
"1000.0": {
"opening cost": [3000, 3000],
"fixed operating cost": [50.0, 50.0],
"variable operating cost": [50.0, 50.0]
"Opening cost ($)": [3000, 3000],
"Fixed operating cost ($)": [50.0, 50.0],
"Variable operating cost ($/tonne)": [50.0, 50.0]
}
}
},
"L4": {
"latitude": 0.75,
"longitude": 0.20,
"capacities": {
"Latitude (deg)": 0.75,
"Longitude (deg)": 0.20,
"Capacities (tonne)": {
"10000": {
"opening cost": [3000, 3000],
"fixed operating cost": [50.0, 50.0],
"variable operating cost": [50.0, 50.0]
"Opening cost ($)": [3000, 3000],
"Fixed operating cost ($)": [50.0, 50.0],
"Variable operating cost ($/tonne)": [50.0, 50.0]
}
}
}
}
},
"F3": {
"input": "P4",
"locations": {
"Input": "P4",
"Locations": {
"L5": {
"latitude": 100.0,
"longitude": 100.0,
"capacities": {
"Latitude (deg)": 100.0,
"Longitude (deg)": 100.0,
"Capacities (tonne)": {
"15000": {
"opening cost": [0.0, 0.0],
"fixed operating cost": [0.0, 0.0],
"variable operating cost": [-15.0, -15.0]
"Opening cost ($)": [0.0, 0.0],
"Fixed operating cost ($)": [0.0, 0.0],
"Variable operating cost ($/tonne)": [-15.0, -15.0]
}
}
}
}
},
"F4": {
"input": "P3",
"locations": {
"Input": "P3",
"Locations": {
"L6": {
"latitude": 50.0,
"longitude": 50.0,
"capacities": {
"Latitude (deg)": 50.0,
"Longitude (deg)": 50.0,
"Capacities (tonne)": {
"10000": {
"opening cost": [0.0, 0.0],
"fixed operating cost": [0.0, 0.0],
"variable operating cost": [-15.0, -15.0]
"Opening cost ($)": [0.0, 0.0],
"Fixed operating cost ($)": [0.0, 0.0],
"Variable operating cost ($/tonne)": [-15.0, -15.0]
}
}
}

View File

@@ -47,8 +47,8 @@
0.0
],
"capacity": [
1.0e8,
1.0e8
15000.0,
15000.0
]
}
},
@@ -66,8 +66,8 @@
},
"latitude": 0.0,
"expansion cost": [
750.0,
0.0
0.0,
750.0
],
"output": {
"dispose": {
@@ -134,8 +134,8 @@
"Origin": {
"C3": {
"amount": [
212.97,
212.97
212.97000000000003,
212.97000000000003
],
"latitude": 84.0,
"distance": 8889.75,
@@ -145,8 +145,8 @@
6389.1
],
"transportation cost": [
3.19455,
3.19455
3.1945500000000004,
3.1945500000000004
]
},
"C7": {
@@ -168,19 +168,19 @@
},
"C5": {
"amount": [
510.33,
510.33
510.3299999999999,
510.3299999999999
],
"latitude": 32.0,
"distance": 9148.52,
"longitude": 92.0,
"variable operating cost": [
15309.9,
15309.9
15309.899999999998,
15309.899999999998
],
"transportation cost": [
7.6549499999999995,
7.6549499999999995
7.654949999999999,
7.654949999999999
]
},
"C9": {
@@ -218,14 +218,14 @@
747.728
],
"P3": [
1869.3199999999997,
1869.3199999999997
1869.32,
1869.32
]
},
"latitude": 0.5,
"expansion cost": [
3738.6399999999967,
0.0
0.0,
3364.7759999999994
],
"output": {
"dispose": {},
@@ -247,8 +247,8 @@
"F4": {
"L6": {
"amount": [
1869.3199999999997,
1869.3199999999997
1869.32,
1869.32
],
"latitude": 50.0,
"distance": 6828.89,
@@ -391,12 +391,12 @@
}
},
"opening cost": [
1000.0,
999.9999999999999,
0.0
],
"capacity": [
3738.6399999999994,
3738.6399999999967
3738.6399999999994
]
}
},
@@ -496,12 +496,12 @@
}
},
"opening cost": [
3000.0,
2999.9999999999995,
0.0
],
"capacity": [
946.728,
1.0e8
10000.0,
10000.0
]
}
},
@@ -547,19 +547,19 @@
},
"L2": {
"amount": [
1869.3199999999997,
1869.3199999999997
1869.32,
1869.32
],
"latitude": 0.5,
"distance": 6828.89,
"longitude": 0.5,
"variable operating cost": [
-28039.799999999996,
-28039.799999999996
-28039.8,
-28039.8
],
"transportation cost": [
23.3665,
23.3665
23.366500000000002,
23.366500000000002
]
}
},
@@ -588,8 +588,72 @@
0.0
],
"capacity": [
1.0e8,
1.0e8
10000.0,
10000.0
]
}
}
},
"products": {
"P1": {
"C1": {
"marginal cost": [
133.59,
134.49
]
},
"C2": {
"marginal cost": [
150.81,
151.71
]
},
"C3": {
"marginal cost": [
250.83,
251.73
]
},
"C8": {
"marginal cost": [
199.65,
200.55
]
},
"C6": {
"marginal cost": [
217.26,
218.16
]
},
"C10": {
"marginal cost": [
208.54,
209.44
]
},
"C4": {
"marginal cost": [
160.36,
161.26
]
},
"C5": {
"marginal cost": [
254.71,
255.61
]
},
"C7": {
"marginal cost": [
245.38,
246.28
]
},
"C9": {
"marginal cost": [
240.5,
241.4
]
}
}
@@ -600,8 +664,8 @@
0.0
],
"expansion": [
4488.639999999997,
0.0
0.0,
4114.776
],
"variable operating": [
216672.818,
@@ -612,8 +676,8 @@
130.0
],
"total": [
225904.922057,
216916.282057
221416.282057,
221031.05805700002
],
"transportation": [
133.464057,

View File

@@ -1,36 +1,56 @@
Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
Optimize a model with 112 rows, 141 columns and 378 nonzeros
Model fingerprint: 0xf1c6e6cc
Variable types: 117 continuous, 24 integer (24 binary)
Coefficient statistics:
Matrix range [5e-02, 1e+08]
Objective range [1e+00, 3e+03]
Bounds range [1e+00, 1e+08]
RHS range [3e+01, 1e+08]
Found heuristic solution: objective 2000175.3046
Presolve removed 89 rows and 110 columns
Presolve time: 0.00s
Presolved: 23 rows, 31 columns, 68 nonzeros
Found heuristic solution: objective 1999822.1568
Variable types: 25 continuous, 6 integer (6 binary)
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Oct 7 2019
Root relaxation: objective 1.871010e+06, 9 iterations, 0.00 seconds
command line - Cbc_C_Interface -solve -quit (default strategy 1)
Continuous objective value is 1.86768e+06 - 0.00 seconds
Cgl0003I 7 fixed, 0 tightened bounds, 9 strengthened rows, 0 substitutions
Cgl0003I 0 fixed, 0 tightened bounds, 2 strengthened rows, 0 substitutions
Cgl0003I 0 fixed, 0 tightened bounds, 1 strengthened rows, 0 substitutions
Cgl0004I processed model has 35 rows, 55 columns (9 integer (9 of which binary)) and 211 elements
Cbc0012I Integer solution of 1871179 found by DiveCoefficient after 0 iterations and 0 nodes (0.00 seconds)
Cbc0038I Full problem 35 rows 55 columns, reduced to 18 rows 37 columns
Cbc0006I The LP relaxation is infeasible or too expensive
Cbc0013I At root node, 0 cuts changed objective from 1869627.3 to 1871179 in 1 passes
Cbc0014I Cut generator 0 (Probing) - 0 row cuts average 0.0 elements, 1 column cuts (1 active) in 0.000 seconds - new frequency is 1
Cbc0014I Cut generator 1 (Gomory) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 2 (Knapsack) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 3 (Clique) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 4 (MixedIntegerRounding2) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 5 (FlowCover) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 6 (TwoMirCuts) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 7 (ZeroHalf) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0001I Search completed - best objective 1871178.961662621, took 2 iterations and 0 nodes (0.00 seconds)
Cbc0035I Maximum depth 0, 5 variables fixed on reduced cost
Cuts at root node changed objective from 1.86963e+06 to 1.87118e+06
Probing was tried 1 times and created 1 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Gomory was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Knapsack was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Clique was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
MixedIntegerRounding2 was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
FlowCover was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
TwoMirCuts was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
ZeroHalf was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
Result - Optimal solution found
0 0 1871009.93 0 2 1999822.16 1871009.93 6.44% - 0s
H 0 0 1871552.8257 1871009.93 0.03% - 0s
Objective value: 1871178.96166262
Enumerated nodes: 0
Total iterations: 2
Time (CPU seconds): 0.01
Time (Wallclock seconds): 0.01
Explored 1 nodes (9 simplex iterations) in 0.00 seconds
Thread count was 4 (of 16 available processors)
Total time (CPU seconds): 0.01 (Wallclock seconds): 0.01
Solution count 3: 1.87155e+06 1.99982e+06 2.00018e+06
Optimal solution found (tolerance 1.00e-02)
Best objective 1.871552825663e+06, best bound 1.871009926997e+06, gap 0.0290%
Coin0506I Presolve 24 (-100) rows, 38 (-103) columns and 164 (-236) elements
Clp0006I 0 Obj 1590708.5 Primal inf 13041.309 (4) Dual inf 429.24088 (24)
Clp0006I 16 Obj 1871179
Clp0000I Optimal - objective value 1871179
Coin0511I After Postsolve, objective 1871179, infeasibilities - dual 0 (0), primal 0 (0)
Clp0032I Optimal objective 1871178.962 - 16 iterations time 0.002, Presolve 0.00
Reading s1.json...
Building graph...
Building optimization model...
Optimizing...
Optimizing MILP...
Re-optimizing with integer variables fixed...
Extracting solution...

View File

@@ -8,68 +8,68 @@ The **parameters** section describes details about the simulation itself.
| Key | Description
|:------------------------|---------------|
|`time periods` | Number of time periods in the simulation.
|`Time horizon (years)` | Number of years in the simulation.
### Example
```json
{
"parameters": {
"time periods": 2
"Parameters": {
"Time horizon (years)": 2
}
}
```
## Products
The **products** section describes all products and subproducts in the simulation. The field `instance["products"]` is a dictionary mapping the name of the product to a dictionary which describes its characteristics. Each product description contains the following keys:
The **products** section describes all products and subproducts in the simulation. The field `instance["Products"]` is a dictionary mapping the name of the product to a dictionary which describes its characteristics. Each product description contains the following keys:
| Key | Description
|:------------------------|---------------|
|`transportation cost` | The cost (in dollars per km per tonnes) to transport this product. Must be a timeseries.
|`initial amounts` | A dictionary mapping the name of each location to its description (see below). If this product is not initially available, this key may be omitted. Must be a timeseries.
| Key | Description
|:--------------------------------------|---------------|
|`Transportation cost ($/km/tonne)` | The cost to transport this product. Must be a timeseries.
|`Initial amounts` | A dictionary mapping the name of each location to its description (see below). If this product is not initially available, this key may be omitted. Must be a timeseries.
Each product may have some amount available at the beginning of each time period. In this case, the key `initial amounts` maps to a dictionary with the following keys:
| Key | Description
|:------------------------|---------------|
| `latitude` | The latitude of the location, in degrees.
| `longitude` | The longitude of the location, in degrees.
| `amount` | The amount (in tonnes) of the product initially available at the location. Must be a timeseries.
| `Latitude (deg)` | The latitude of the location.
| `Longitude (deg)` | The longitude of the location.
| `Amount (tonne)` | The amount of the product initially available at the location. Must be a timeseries.
### Example
```json
{
"products": {
"Products": {
"P1": {
"transportation cost": [0.015, 0.015],
"initial amounts": {
"Transportation cost ($/km/tonne)": [0.015, 0.015],
"Initial amounts": {
"C1": {
"latitude": 7.0,
"longitude": 7.0,
"amount": [934.56, 934.56]
"Latitude (deg)": 7.0,
"Longitude (deg)": 7.0,
"Amount (tonne)": [934.56, 934.56]
},
"C2": {
"latitude": 7.0,
"longitude": 19.0,
"amount": [198.95, 198.95]
"Latitude (deg)": 7.0,
"Longitude (deg)": 19.0,
"Amount (tonne)": [198.95, 198.95]
},
"C3": {
"latitude": 84.0,
"longitude": 76.0,
"amount": [212.97, 212.97]
"Latitude (deg)": 84.0,
"Longitude (deg)": 76.0,
"Amount (tonne)": [212.97, 212.97]
}
}
},
"P2": {
"transportation cost": [0.02, 0.02]
"Transportation cost ($/km/tonne)": [0.02, 0.02]
},
"P3": {
"transportation cost": [0.0125, 0.0125]
"Transportation cost ($/km/tonne)": [0.0125, 0.0125]
},
"P4": {
"transportation cost": [0.0175, 0.0175]
"Transportation cost ($/km/tonne)": [0.0175, 0.0175]
}
}
}
@@ -77,70 +77,70 @@ Each product may have some amount available at the beginning of each time period
## Processing Plants
The **plants** section describes the available types of reverse manufacturing plants, their potential locations and associated costs, as well as their inputs and outputs. The field `instance["plants"]` is a dictionary mapping the name of the plant to a dictionary with the following keys:
The **plants** section describes the available types of reverse manufacturing plants, their potential locations and associated costs, as well as their inputs and outputs. The field `instance["Plants"]` is a dictionary mapping the name of the plant to a dictionary with the following keys:
| Key | Description
|:------------------------|---------------|
| `input` | The name of the product that this plant takes as input. Only one input is accepted per plant.
| `outputs` | A dictionary specifying how many tonnes of each product is produced for each tonnes of input. For example, if the plant outputs 0.5 tonnes of P2 and 0.25 tonnes of P3 for each tonnes of P1 provided, then this entry should be `{"P2": 0.5, "P3": 0.25}`. If the plant does not output anything, this key may be omitted.
| `locations` | A dictionary mapping the name of the location to a dictionary which describes the site characteristics (see below).
| `Input` | The name of the product that this plant takes as input. Only one input is accepted per plant.
| `Outputs (tonne)` | A dictionary specifying how many tonnes of each product is produced for each tonnes of input. For example, if the plant outputs 0.5 tonnes of P2 and 0.25 tonnes of P3 for each tonnes of P1 provided, then this entry should be `{"P2": 0.5, "P3": 0.25}`. If the plant does not output anything, this key may be omitted.
| `Locations` | A dictionary mapping the name of the location to a dictionary which describes the site characteristics (see below).
Each type of plant is associated with a set of potential locations where it can be built. Each location is represented by a dictionary with the following keys:
| Key | Description
|:------------------------|---------------|
| `latitude` | The latitude of the location, in degrees.
| `longitude` | The longitude of the location, in degrees.
| `disposal` | A dictionary describing what products can be disposed locally at the plant.
| `capacities` | A dictionary describing what plant sizes are allowed, and their characteristics.
| Key | Description
|:------------------------------|---------------|
| `Latitude (deg)` | The latitude of the location, in degrees.
| `Longitude (deg)` | The longitude of the location, in degrees.
| `Disposal` | A dictionary describing what products can be disposed locally at the plant.
| `Capacities (tonne)` | A dictionary describing what plant sizes are allowed, and their characteristics.
The keys in the `disposal` dictionary should be the names of the products. The values are dictionaries with the following keys:
| Key | Description
|:------------------------|---------------|
| `cost` | The cost (in dollars per tonnes) to dispose of the product. Must be a timeseries.
| `limit` | The maximum amount (in tonnes) that can be disposed of. If an unlimited amount can be disposed, this key may be omitted. Must be a timeseries.
| `Cost ($/tonne)` | The cost to dispose of the product. Must be a timeseries.
| `Limit (tonne)` | The maximum amount that can be disposed of. If an unlimited amount can be disposed, this key may be omitted. Must be a timeseries.
The keys in the `capacities` dictionary should be the amounts (in tonnes). The values are dictionaries with the following keys:
| Key | Description
|:------------------------|---------------|
| `opening cost` | The cost (in dollars) to open a plant of this size.
| `fixed operating cost` | The cost (in dollars) to keep the plant open, even if the plant doesn't process anything. Must be a timeseries.
| `variable operating cost` | The cost (in dollars per tonnes) that the plant incurs to process each tonne of input. Must be a timeseries.
| Key | Description
|:--------------------------------------|---------------|
| `Opening cost ($)` | The cost to open a plant of this size.
| `Fixed operating cost ($)` | The cost to keep the plant open, even if the plant doesn't process anything. Must be a timeseries.
| `Variable operating cost ($/tonne)` | The cost that the plant incurs to process each tonne of input. Must be a timeseries.
### Example
```json
{
"plants": {
"Plants": {
"F1": {
"input": "P1",
"outputs": {
"Input": "P1",
"Outputs (tonne)": {
"P2": 0.2,
"P3": 0.5
},
"locations": {
"Locations": {
"L1": {
"latitude": 0.0,
"longitude": 0.0,
"disposal": {
"Latitude (deg)": 0.0,
"Longitude (deg)": 0.0,
"Disposal": {
"P2": {
"cost": [-10.0, -12.0],
"limit": [1.0, 1.0]
"Cost ($/tonne)": [-10.0, -12.0],
"Limit (tonne)": [1.0, 1.0]
}
},
"capacities": {
"Capacities (tonne)": {
"100": {
"opening cost": [500, 530],
"fixed operating cost": [300.0, 310.0],
"variable operating cost": [5.0, 5.2]
"Opening cost ($)": [500, 530],
"Fixed operating cost ($)": [300.0, 310.0],
"Variable operating cost ($/tonne)": [5.0, 5.2]
},
"500": {
"opening cost": [750, 760],
"fixed operating cost": [400.0, 450.0],
"variable operating cost": [5.0, 5.2]
"Opening cost ($)": [750, 760],
"Fixed operating cost ($)": [400.0, 450.0],
"Variable operating cost ($/tonne)": [5.0, 5.2]
}
}
}

View File

@@ -60,74 +60,77 @@ function load(path::String)::Instance
if result !== nothing
if result isa JSONSchema.SingleIssue
path = join(result.path, "")
msg = "$(result.x) $(result.msg) in $(path)"
if length(path) == 0
path = "root"
end
msg = "$(result.msg) in $(path)"
else
msg = convert(String, result)
end
throw(msg)
end
T = json["parameters"]["time periods"]
T = json["Parameters"]["Time horizon (years)"]
plants = Plant[]
products = Product[]
collection_centers = CollectionCenter[]
prod_name_to_product = Dict{String, Product}()
# Create products
for (product_name, product_dict) in json["products"]
product = Product(product_name, product_dict["transportation cost"])
for (product_name, product_dict) in json["Products"]
product = Product(product_name, product_dict["Transportation cost (\$/km/tonne)"])
push!(products, product)
prod_name_to_product[product_name] = product
# Create collection centers
if "initial amounts" in keys(product_dict)
for (center_name, center_dict) in product_dict["initial amounts"]
if "Initial amounts" in keys(product_dict)
for (center_name, center_dict) in product_dict["Initial amounts"]
center = CollectionCenter(length(collection_centers) + 1,
center_name,
center_dict["latitude"],
center_dict["longitude"],
center_dict["Latitude (deg)"],
center_dict["Longitude (deg)"],
product,
center_dict["amount"])
center_dict["Amount (tonne)"])
push!(collection_centers, center)
end
end
end
# Create plants
for (plant_name, plant_dict) in json["plants"]
input = prod_name_to_product[plant_dict["input"]]
for (plant_name, plant_dict) in json["Plants"]
input = prod_name_to_product[plant_dict["Input"]]
output = Dict()
# Plant outputs
if "outputs" in keys(plant_dict)
if "Outputs (tonne)" in keys(plant_dict)
output = Dict(prod_name_to_product[key] => value
for (key, value) in plant_dict["outputs"]
for (key, value) in plant_dict["Outputs (tonne)"]
if value > 0)
end
for (location_name, location_dict) in plant_dict["locations"]
for (location_name, location_dict) in plant_dict["Locations"]
sizes = PlantSize[]
disposal_limit = Dict(p => [0.0 for t in 1:T] for p in keys(output))
disposal_cost = Dict(p => [0.0 for t in 1:T] for p in keys(output))
# Disposal
if "disposal" in keys(location_dict)
for (product_name, disposal_dict) in location_dict["disposal"]
if "Disposal" in keys(location_dict)
for (product_name, disposal_dict) in location_dict["Disposal"]
limit = [1e8 for t in 1:T]
if "limit" in keys(disposal_dict)
limit = disposal_dict["limit"]
if "Limit (tonne)" in keys(disposal_dict)
limit = disposal_dict["Limit (tonne)"]
end
disposal_limit[prod_name_to_product[product_name]] = limit
disposal_cost[prod_name_to_product[product_name]] = disposal_dict["cost"]
disposal_cost[prod_name_to_product[product_name]] = disposal_dict["Cost (\$/tonne)"]
end
end
# Capacities
for (capacity_name, capacity_dict) in location_dict["capacities"]
for (capacity_name, capacity_dict) in location_dict["Capacities (tonne)"]
push!(sizes, PlantSize(parse(Float64, capacity_name),
capacity_dict["variable operating cost"],
capacity_dict["fixed operating cost"],
capacity_dict["opening cost"]))
capacity_dict["Variable operating cost (\$/tonne)"],
capacity_dict["Fixed operating cost (\$)"],
capacity_dict["Opening cost (\$)"]))
end
length(sizes) > 1 || push!(sizes, sizes[1])
sort!(sizes, by = x -> x.capacity)
@@ -145,8 +148,8 @@ function load(path::String)::Instance
location_name,
input,
output,
location_dict["latitude"],
location_dict["longitude"],
location_dict["Latitude (deg)"],
location_dict["Longitude (deg)"],
disposal_limit,
disposal_cost,
sizes)

View File

@@ -2,19 +2,20 @@
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using JuMP, LinearAlgebra, Geodesy, Cbc, ProgressBars
using JuMP, LinearAlgebra, Geodesy, Cbc, Clp, ProgressBars
mutable struct ManufacturingModel
mip::JuMP.Model
vars::DotDict
eqs::DotDict
instance::Instance
graph::Graph
end
function build_model(instance::Instance, graph::Graph, optimizer)::ManufacturingModel
model = ManufacturingModel(Model(optimizer), DotDict(), instance, graph)
model = ManufacturingModel(Model(optimizer), DotDict(), DotDict(), instance, graph)
create_vars!(model)
create_objective_function!(model)
create_shipping_node_constraints!(model)
@@ -133,11 +134,16 @@ end
function create_shipping_node_constraints!(model::ManufacturingModel)
mip, vars, graph, T = model.mip, model.vars, model.graph, model.instance.time
eqs = model.eqs
eqs.balance = Dict()
for t in 1:T
# Collection centers
for n in graph.collection_shipping_nodes
@constraint(mip, sum(vars.flow[a, t] for a in n.outgoing_arcs) == n.location.amount[t])
eqs.balance[n, t] = @constraint(mip,
sum(vars.flow[a, t] for a in n.outgoing_arcs)
== n.location.amount[t])
end
# Plants
@@ -188,7 +194,7 @@ function create_process_node_constraints!(model::ManufacturingModel)
end
end
function solve(filename::String; optimizer=Cbc.Optimizer)
function solve(filename::String; optimizer=Cbc.Optimizer, lp_optimizer=Clp.Optimizer)
println("Reading $filename...")
instance = RELOG.load(filename)
@@ -198,7 +204,19 @@ function solve(filename::String; optimizer=Cbc.Optimizer)
println("Building optimization model...")
model = RELOG.build_model(instance, graph, optimizer)
println("Optimizing...")
println("Optimizing MILP...")
JuMP.optimize!(model.mip)
println("Re-optimizing with integer variables fixed...")
all_vars = JuMP.all_variables(model.mip)
vals = Dict(var => JuMP.value(var) for var in all_vars)
JuMP.set_optimizer(model.mip, lp_optimizer)
for var in all_vars
if JuMP.is_binary(var)
JuMP.unset_binary(var)
JuMP.fix(var, vals[var])
end
end
JuMP.optimize!(model.mip)
println("Extracting solution...")
@@ -206,19 +224,20 @@ function solve(filename::String; optimizer=Cbc.Optimizer)
end
function get_solution(model::ManufacturingModel)
mip, vars, graph, instance = model.mip, model.vars, model.graph, model.instance
mip, vars, eqs, graph, instance = model.mip, model.vars, model.eqs, model.graph, model.instance
T = instance.time
output = Dict(
"plants" => Dict(),
"costs" => Dict(
"fixed operating" => zeros(T),
"variable operating" => zeros(T),
"opening" => zeros(T),
"transportation" => zeros(T),
"disposal" => zeros(T),
"expansion" => zeros(T),
"total" => zeros(T),
"Plants" => Dict(),
"Products" => Dict(),
"Costs" => Dict(
"Fixed operating (\$)" => zeros(T),
"Variable operating (\$)" => zeros(T),
"Opening (\$)" => zeros(T),
"Transportation (\$)" => zeros(T),
"Disposal (\$)" => zeros(T),
"Expansion (\$)" => zeros(T),
"Total (\$)" => zeros(T),
)
)
@@ -231,40 +250,53 @@ function get_solution(model::ManufacturingModel)
end
end
# Products
for n in graph.collection_shipping_nodes
location_dict = Dict{Any, Any}(
"Marginal cost (\$/tonne)" => [round(abs(JuMP.shadow_price(eqs.balance[n, t])), digits=2)
for t in 1:T],
)
if n.product.name keys(output["Products"])
output["Products"][n.product.name] = Dict()
end
output["Products"][n.product.name][n.location.name] = location_dict
end
# Plants
for plant in instance.plants
skip_plant = true
process_node = plant_to_process_node[plant]
plant_dict = Dict{Any, Any}(
"input" => Dict(),
"output" => Dict(
"send" => Dict(),
"dispose" => Dict(),
"Input" => Dict(),
"Output" => Dict(
"Send" => Dict(),
"Dispose" => Dict(),
),
"total input" => [0.0 for t in 1:T],
"total output" => Dict(),
"latitude" => plant.latitude,
"longitude" => plant.longitude,
"capacity" => [JuMP.value(vars.capacity[process_node, t])
for t in 1:T],
"opening cost" => [JuMP.value(vars.open_plant[process_node, t]) *
plant.sizes[1].opening_cost[t]
for t in 1:T],
"fixed operating cost" => [JuMP.value(vars.is_open[process_node, t]) *
plant.sizes[1].fixed_operating_cost[t] +
JuMP.value(vars.expansion[process_node, t]) *
slope_fix_oper_cost(plant, t)
for t in 1:T],
"expansion cost" => [JuMP.value(vars.expansion[process_node, t]) *
(if t < T
slope_open(plant, t) - slope_open(plant, t + 1)
else
slope_open(plant, t)
end)
for t in 1:T],
"Total input (tonne)" => [0.0 for t in 1:T],
"Total output" => Dict(),
"Latitude (deg)" => plant.latitude,
"Longitude (deg)" => plant.longitude,
"Capacity (tonne)" => [JuMP.value(vars.capacity[process_node, t])
for t in 1:T],
"Opening cost (\$)" => [JuMP.value(vars.open_plant[process_node, t]) *
plant.sizes[1].opening_cost[t]
for t in 1:T],
"Fixed operating cost (\$)" => [JuMP.value(vars.is_open[process_node, t]) *
plant.sizes[1].fixed_operating_cost[t] +
JuMP.value(vars.expansion[process_node, t]) *
slope_fix_oper_cost(plant, t)
for t in 1:T],
"Expansion cost (\$)" => [JuMP.value(vars.expansion[process_node, t]) *
(if t < T
slope_open(plant, t) - slope_open(plant, t + 1)
else
slope_open(plant, t)
end)
for t in 1:T],
)
output["costs"]["fixed operating"] += plant_dict["fixed operating cost"]
output["costs"]["opening"] += plant_dict["opening cost"]
output["costs"]["expansion"] += plant_dict["expansion cost"]
output["Costs"]["Fixed operating (\$)"] += plant_dict["Fixed operating cost (\$)"]
output["Costs"]["Opening (\$)"] += plant_dict["Opening cost (\$)"]
output["Costs"]["Expansion (\$)"] += plant_dict["Expansion cost (\$)"]
# Inputs
for a in process_node.incoming_arcs
@@ -274,14 +306,16 @@ function get_solution(model::ManufacturingModel)
end
skip_plant = false
dict = Dict{Any, Any}(
"amount" => vals,
"distance" => a.values["distance"],
"latitude" => a.source.location.latitude,
"longitude" => a.source.location.longitude,
"transportation cost" => [a.source.product.transportation_cost[t] * vals[t]
for t in 1:T],
"variable operating cost" => [plant.sizes[1].variable_operating_cost[t] * vals[t]
for t in 1:T],
"Amount (tonne)" => vals,
"Distance (km)" => a.values["distance"],
"Latitude (deg)" => a.source.location.latitude,
"Longitude (deg)" => a.source.location.longitude,
"Transportation cost (\$)" => [a.source.product.transportation_cost[t] *
vals[t] *
a.values["distance"]
for t in 1:T],
"Variable operating cost (\$)" => [plant.sizes[1].variable_operating_cost[t] * vals[t]
for t in 1:T],
)
if a.source.location isa CollectionCenter
plant_name = "Origin"
@@ -291,31 +325,31 @@ function get_solution(model::ManufacturingModel)
location_name = a.source.location.location_name
end
if plant_name keys(plant_dict["input"])
plant_dict["input"][plant_name] = Dict()
if plant_name keys(plant_dict["Input"])
plant_dict["Input"][plant_name] = Dict()
end
plant_dict["input"][plant_name][location_name] = dict
plant_dict["total input"] += vals
output["costs"]["transportation"] += dict["transportation cost"]
output["costs"]["variable operating"] += dict["variable operating cost"]
plant_dict["Input"][plant_name][location_name] = dict
plant_dict["Total input (tonne)"] += vals
output["Costs"]["Transportation (\$)"] += dict["Transportation cost (\$)"]
output["Costs"]["Variable operating (\$)"] += dict["Variable operating cost (\$)"]
end
# Outputs
for shipping_node in plant_to_shipping_nodes[plant]
product_name = shipping_node.product.name
plant_dict["total output"][product_name] = zeros(T)
plant_dict["output"]["send"][product_name] = product_dict = Dict()
plant_dict["Total output"][product_name] = zeros(T)
plant_dict["Output"]["Send"][product_name] = product_dict = Dict()
disposal_amount = [JuMP.value(vars.dispose[shipping_node, t]) for t in 1:T]
if sum(disposal_amount) > 1e-5
skip_plant = false
plant_dict["output"]["dispose"][product_name] = disposal_dict = Dict()
disposal_dict["amount"] = [JuMP.value(model.vars.dispose[shipping_node, t]) for t in 1:T]
disposal_dict["cost"] = [disposal_dict["amount"][t] *
plant.disposal_cost[shipping_node.product][t]
for t in 1:T]
plant_dict["total output"][product_name] += disposal_amount
output["costs"]["disposal"] += disposal_dict["cost"]
plant_dict["Output"]["Dispose"][product_name] = disposal_dict = Dict()
disposal_dict["Amount (tonne)"] = [JuMP.value(model.vars.dispose[shipping_node, t]) for t in 1:T]
disposal_dict["Cost (\$)"] = [disposal_dict["Amount (tonne)"][t] *
plant.disposal_cost[shipping_node.product][t]
for t in 1:T]
plant_dict["Total output"][product_name] += disposal_amount
output["Costs"]["Disposal (\$)"] += disposal_dict["Cost (\$)"]
end
for a in shipping_node.outgoing_arcs
@@ -325,27 +359,27 @@ function get_solution(model::ManufacturingModel)
end
skip_plant = false
dict = Dict(
"amount" => vals,
"distance" => a.values["distance"],
"latitude" => a.dest.location.latitude,
"longitude" => a.dest.location.longitude,
"Amount (tonne)" => vals,
"Distance (km)" => a.values["distance"],
"Latitude (deg)" => a.dest.location.latitude,
"Longitude (deg)" => a.dest.location.longitude,
)
if a.dest.location.plant_name keys(product_dict)
product_dict[a.dest.location.plant_name] = Dict()
end
product_dict[a.dest.location.plant_name][a.dest.location.location_name] = dict
plant_dict["total output"][product_name] += vals
plant_dict["Total output"][product_name] += vals
end
end
if !skip_plant
if plant.plant_name keys(output["plants"])
output["plants"][plant.plant_name] = Dict()
if plant.plant_name keys(output["Plants"])
output["Plants"][plant.plant_name] = Dict()
end
output["plants"][plant.plant_name][plant.location_name] = plant_dict
output["Plants"][plant.plant_name][plant.location_name] = plant_dict
end
end
output["costs"]["total"] = sum(values(output["costs"]))
output["Costs"]["Total (\$)"] = sum(values(output["Costs"]))
return output
end

View File

@@ -1,7 +1,7 @@
{
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "https://anl-ceeesa.github.io/RELOG/input",
"title": "Schema for ReverseManufacturing Input File",
"title": "Schema for RELOG Input File",
"definitions": {
"TimeSeries": {
"type": "array",
@@ -12,10 +12,10 @@
"Parameters": {
"type": "object",
"properties": {
"time": { "type": "number" }
"Time horizon (years)": { "type": "number" }
},
"required": [
"time periods"
"Time horizon (years)"
]
},
"Plant": {
@@ -23,16 +23,16 @@
"additionalProperties": {
"type": "object",
"properties": {
"input": { "type": "string" },
"outputs": {
"Input": { "type": "string" },
"Outputs (tonne)": {
"type": "object",
"additionalProperties": { "type": "number" }
},
"locations": { "$ref": "#/definitions/PlantLocation" }
"Locations": { "$ref": "#/definitions/PlantLocation" }
},
"required": [
"input",
"locations"
"Input",
"Locations"
]
}
},
@@ -41,42 +41,42 @@
"additionalProperties": {
"type": "object",
"properties": {
"latitude": { "type": "number" },
"longitude": { "type": "number" },
"disposal": {
"Latitude (deg)": { "type": "number" },
"Longitude (deg)": { "type": "number" },
"Disposal": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"cost": { "$ref": "#/definitions/TimeSeries" },
"limit": { "$ref": "#/definitions/TimeSeries" }
"Cost ($/tonne)": { "$ref": "#/definitions/TimeSeries" },
"Limit (tonne)": { "$ref": "#/definitions/TimeSeries" }
},
"required": [
"cost"
"Cost ($/tonne)"
]
}
},
"capacities": {
"Capacities (tonne)": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"variable operating cost": { "$ref": "#/definitions/TimeSeries" },
"fixed operating cost": { "$ref": "#/definitions/TimeSeries" },
"opening cost": { "$ref": "#/definitions/TimeSeries" }
"Variable operating cost ($/tonne)": { "$ref": "#/definitions/TimeSeries" },
"Fixed operating cost ($)": { "$ref": "#/definitions/TimeSeries" },
"Opening cost ($)": { "$ref": "#/definitions/TimeSeries" }
},
"required": [
"variable operating cost",
"fixed operating cost",
"opening cost"
"Variable operating cost ($/tonne)",
"Fixed operating cost ($)",
"Opening cost ($)"
]
}
}
},
"required": [
"latitude",
"longitude",
"capacities"
"Latitude (deg)",
"Longitude (deg)",
"Capacities (tonne)"
]
}
},
@@ -85,14 +85,14 @@
"additionalProperties": {
"type": "object",
"properties": {
"latitude": { "type": "number" },
"longitude": { "type": "number" },
"amount": { "$ref": "#/definitions/TimeSeries" }
"Latitude (deg)": { "type": "number" },
"Longitude (deg)": { "type": "number" },
"Amount (tonne)": { "$ref": "#/definitions/TimeSeries" }
},
"required": [
"latitude",
"longitude",
"amount"
"Latitude (deg)",
"Longitude (deg)",
"Amount (tonne)"
]
}
},
@@ -101,23 +101,24 @@
"additionalProperties": {
"type": "object",
"properties": {
"transportation cost": { "$ref": "#/definitions/TimeSeries" },
"initial amounts": { "$ref": "#/definitions/InitialAmount" }
"Transportation cost ($/km/tonne)": { "$ref": "#/definitions/TimeSeries" },
"Initial amounts": { "$ref": "#/definitions/InitialAmount" }
},
"required": [
"transportation cost"
"Transportation cost ($/km/tonne)"
]
}
}
},
"type": "object",
"properties": {
"parameters": { "$ref": "#/definitions/Parameters" },
"plants": { "$ref": "#/definitions/Plant" },
"products": { "$ref": "#/definitions/Product" }
"Parameters": { "$ref": "#/definitions/Parameters" },
"Plants": { "$ref": "#/definitions/Plant" },
"Products": { "$ref": "#/definitions/Product" }
},
"required": [
"plants",
"products"
"Parameters",
"Plants",
"Products"
]
}

View File

@@ -39,24 +39,23 @@ using RELOG, Cbc, JuMP, Printf, JSON, MathOptInterface.FileFormats
dest = FileFormats.Model(format = FileFormats.FORMAT_LP)
MOI.copy_to(dest, model.mip)
MOI.write_to_file(dest, "model.lp")
end
@testset "solve" begin
solution = RELOG.solve("$(pwd())/../instances/s1.json")
JSON.print(stdout, solution, 4)
@test "costs" in keys(solution)
@test "fixed operating" in keys(solution["costs"])
@test "transportation" in keys(solution["costs"])
@test "variable operating" in keys(solution["costs"])
@test "total" in keys(solution["costs"])
@test "Costs" in keys(solution)
@test "Fixed operating (\$)" in keys(solution["Costs"])
@test "Transportation (\$)" in keys(solution["Costs"])
@test "Variable operating (\$)" in keys(solution["Costs"])
@test "Total (\$)" in keys(solution["Costs"])
@test "plants" in keys(solution)
@test "F1" in keys(solution["plants"])
@test "F2" in keys(solution["plants"])
@test "F3" in keys(solution["plants"])
@test "F4" in keys(solution["plants"])
@test "Plants" in keys(solution)
@test "F1" in keys(solution["Plants"])
@test "F2" in keys(solution["Plants"])
@test "F3" in keys(solution["Plants"])
@test "F4" in keys(solution["Plants"])
end
end