{"id":"https://openalex.org/W3118265246","doi":"https://doi.org/10.1109/ieem45057.2020.9309776","title":"Job Shop Scheduling Problem Neural Network Solver with Dispatching Rules","display_name":"Job Shop Scheduling Problem Neural Network Solver with Dispatching Rules","publication_year":2020,"publication_date":"2020-12-14","ids":{"openalex":"https://openalex.org/W3118265246","doi":"https://doi.org/10.1109/ieem45057.2020.9309776","mag":"3118265246"},"language":"en","primary_location":{"id":"doi:10.1109/ieem45057.2020.9309776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem45057.2020.9309776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071635266","display_name":"Mun-Bo Sim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158759","display_name":"University of Glasgow Singapore","ror":"https://ror.org/05jzgzx91","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210158759"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"M. H. Sim","raw_affiliation_strings":["University of Glasgow Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"University of Glasgow Singapore, Singapore","institution_ids":["https://openalex.org/I4210158759"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038383727","display_name":"Malcolm Yoke Hean Low","orcid":"https://orcid.org/0000-0002-5371-0896"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"M. Y. H. Low","raw_affiliation_strings":["Singapore Institute of Technology, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Institute of Technology, Singapore","institution_ids":["https://openalex.org/I168639165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039947052","display_name":"Chee\u2010Seng Chong","orcid":"https://orcid.org/0000-0003-2993-1741"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"C. S. Chong","raw_affiliation_strings":["Singapore Institute of Manufacturing Technology, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Institute of Manufacturing Technology, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052633741","display_name":"Mojtaba Shakeri","orcid":"https://orcid.org/0000-0001-5244-7099"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"M. Shakeri","raw_affiliation_strings":["Singapore Institute of Manufacturing Technology, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Institute of Manufacturing Technology, Singapore","institution_ids":["https://openalex.org/I4210091207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071635266"],"corresponding_institution_ids":["https://openalex.org/I4210158759"],"apc_list":null,"apc_paid":null,"fwci":0.3566,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7020879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"514","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9965999722480774,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759117841720581},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6680415868759155},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6645926237106323},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5814650654792786},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5733516216278076},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5673536062240601},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.48755377531051636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46444371342658997},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.42899107933044434},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.4204169511795044},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4114701747894287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32029664516448975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2389269769191742},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.22485065460205078},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07606679201126099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759117841720581},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6680415868759155},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6645926237106323},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5814650654792786},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5733516216278076},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5673536062240601},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.48755377531051636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46444371342658997},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.42899107933044434},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.4204169511795044},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4114701747894287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32029664516448975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2389269769191742},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.22485065460205078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07606679201126099},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem45057.2020.9309776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem45057.2020.9309776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6100000143051147,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1680392829","https://openalex.org/W1968909874","https://openalex.org/W1995471281","https://openalex.org/W2101761886","https://openalex.org/W2128882994","https://openalex.org/W2150322710","https://openalex.org/W2157846217","https://openalex.org/W2957453219","https://openalex.org/W2959200652","https://openalex.org/W6637386731"],"related_works":["https://openalex.org/W3035289691","https://openalex.org/W2056085356","https://openalex.org/W2031613569","https://openalex.org/W2114927918","https://openalex.org/W2120115745","https://openalex.org/W4315865048","https://openalex.org/W2146703612","https://openalex.org/W2129324550","https://openalex.org/W2562877900","https://openalex.org/W1964249855"],"abstract_inverted_index":{"Job":[0],"Shop":[1],"Scheduling":[2],"Problem":[3],"(JSSP)":[4],"is":[5],"an":[6,50],"optimization":[7,37],"problem":[8],"in":[9,17,35],"computer":[10],"science":[11],"and":[12,39,57,103],"operations":[13,68],"research.":[14],"Many":[15],"problems":[16,38],"real-world":[18],"manufacturing":[19],"processes":[20],"can":[21,40],"be":[22,41],"translated":[23],"into":[24],"JSSP.":[25],"In":[26,47],"recent":[27],"years,":[28],"Machine":[29],"Learning":[30],"has":[31],"shown":[32],"great":[33],"promises":[34],"solving":[36],"used":[42],"to":[43,59,77],"solve":[44,60],"JSSP":[45,61],"instances.":[46],"this":[48],"paper,":[49],"Artificial":[51],"Neural":[52],"Network":[53],"(ANN)":[54],"was":[55],"designed":[56],"trained":[58],"instances":[62],"using":[63],"the":[64,67,70,81,84,96],"priority":[65],"of":[66,83,98],"as":[69],"learning":[71],"output.":[72],"Dispatching":[73],"rules":[74,102],"were":[75],"implemented":[76],"break":[78],"ties":[79],"during":[80],"decoding":[82],"priorities.":[85],"Our":[86],"experiment":[87],"results":[88],"showed":[89],"that":[90,94],"a":[91],"hybrid":[92],"algorithm":[93],"combines":[95],"best":[97],"ANN":[99],"with":[100],"dispatching":[101,105],"standalone":[104],"rule-based":[106],"heuristic":[107],"outperforms":[108],"previously":[109],"reported":[110],"results.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
