{"id":"https://openalex.org/W4388328996","doi":"https://doi.org/10.48550/arxiv.2311.00983","title":"Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks","display_name":"Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks","publication_year":2023,"publication_date":"2023-11-02","ids":{"openalex":"https://openalex.org/W4388328996","doi":"https://doi.org/10.48550/arxiv.2311.00983"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.00983","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.00983","pdf_url":"https://arxiv.org/pdf/2311.00983","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.00983","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100311815","display_name":"MD Shafikul Islam","orcid":"https://orcid.org/0009-0007-3824-4384","observed_orcids":["https://orcid.org/0009-0007-3824-4384"]},"institutions":[{"id":"https://openalex.org/I133190216","display_name":"Shahjalal University of Science and Technology","ror":"https://ror.org/05hm0vv72","country_code":"BD","type":"education","lineage":["https://openalex.org/I133190216"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Islam, MD Shafikul","raw_affiliation_strings":["Shahjalal University of Science and Technology {Email"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shahjalal University of Science and Technology {Email","institution_ids":["https://openalex.org/I133190216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017188403","display_name":"Azmine Toushik Wasi","orcid":"https://orcid.org/0000-0001-9509-5804","observed_orcids":["https://orcid.org/0000-0001-9509-5804"]},"institutions":[{"id":"https://openalex.org/I133190216","display_name":"Shahjalal University of Science and Technology","ror":"https://ror.org/05hm0vv72","country_code":"BD","type":"education","lineage":["https://openalex.org/I133190216"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Wasi, Azmine Toushik","raw_affiliation_strings":["Shahjalal University of Science and Technology {Email"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shahjalal University of Science and Technology {Email","institution_ids":["https://openalex.org/I133190216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133190216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9409000277519226,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.050599999725818634,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14121","display_name":"Logistics and Transportation Systems","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inventory-routing-problem","display_name":"inventory routing problem","score":0.9929999709129333},{"id":"https://openalex.org/keywords/decision-focused-learning","display_name":"decision-focused learning","score":0.9200000166893005},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8569999933242798},{"id":"https://openalex.org/keywords/inventory-demand-forecasting","display_name":"inventory demand forecasting","score":0.6949999928474426},{"id":"https://openalex.org/keywords/route-optimization","display_name":"route optimization","score":0.7350000143051147},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"supply chain management","score":0.8320000171661377},{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.6930000185966492},{"id":"https://openalex.org/keywords/demand-uncertainty","display_name":"demand uncertainty","score":0.5669999718666077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074880003929138},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.6397758722305298},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6182257533073425},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5090789198875427},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4581851065158844},{"id":"https://openalex.org/C24373527","wikidata":"https://www.wikidata.org/wiki/Q252073","display_name":"Inventory theory","level":3,"score":0.4346337616443634},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3893701136112213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3861013650894165},{"id":"https://openalex.org/C117938511","wikidata":"https://www.wikidata.org/wiki/Q3634830","display_name":"Inventory control","level":2,"score":0.299976646900177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13696658611297607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2311.00983","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.00983","pdf_url":"https://arxiv.org/pdf/2311.00983","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2311.00983","doi":"https://doi.org/10.48550/arxiv.2311.00983","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.00983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.00983","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.00983","pdf_url":"https://arxiv.org/pdf/2311.00983","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.7207000255584717}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388328996.pdf","grobid_xml":"https://content.openalex.org/works/W4388328996.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2354103126","https://openalex.org/W4245619225","https://openalex.org/W2019808857","https://openalex.org/W2392499389","https://openalex.org/W2028239765","https://openalex.org/W4365144662","https://openalex.org/W3180162221","https://openalex.org/W3100104215","https://openalex.org/W2107783527","https://openalex.org/W2963469351"],"abstract_inverted_index":{"Inventory":[0],"Routing":[1],"Problem":[2],"(IRP)":[3],"is":[4,34,38,50],"a":[5,31,100,123],"crucial":[6],"challenge":[7],"in":[8,79,85,90],"supply":[9,125],"chain":[10,126],"management":[11],"as":[12],"it":[13],"involves":[14],"optimizing":[15],"efficient":[16],"route":[17],"selection":[18],"while":[19],"considering":[20],"the":[21,74,82,86],"uncertainty":[22],"of":[23,64],"inventory":[24,69,112],"demand":[25,37],"planning.":[26],"To":[27],"solve":[28],"IRPs,":[29],"usually":[30],"two-stage":[32],"approach":[33,103,109],"employed,":[35],"where":[36],"predicted":[39],"using":[40],"machine":[41,59],"learning":[42,60],"techniques":[43],"first,":[44],"and":[45,98,114],"then":[46],"an":[47,118],"optimization":[48,83,116],"algorithm":[49],"used":[51],"to":[52,104],"minimize":[53],"routing":[54,115],"costs.":[55],"Our":[56],"experiment":[57],"shows":[58],"models":[61],"fall":[62],"short":[63],"achieving":[65],"perfect":[66],"accuracy":[67],"because":[68],"levels":[70],"are":[71],"influenced":[72],"by":[73],"dynamic":[75],"business":[76],"environment,":[77],"which,":[78],"turn,":[80],"affects":[81],"problem":[84],"next":[87],"stage,":[88],"resulting":[89],"sub-optimal":[91],"decisions.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"formulate":[97],"propose":[99],"decision-focused":[101],"learning-based":[102],"solving":[105],"real-world":[106],"IRPs.":[107],"This":[108],"directly":[110],"integrates":[111],"prediction":[113],"within":[117],"end-to-end":[119],"system":[120],"potentially":[121],"ensuring":[122],"robust":[124],"strategy.":[127]},"counts_by_year":[],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2023-11-04T00:00:00"}
