{"id":"https://openalex.org/W2944281459","doi":"https://doi.org/10.1017/s0890060419000131","title":"Integrated optimization of mixed-model assembly sequence planning and line balancing using Multi-objective Discrete Particle Swarm Optimization","display_name":"Integrated optimization of mixed-model assembly sequence planning and line balancing using Multi-objective Discrete Particle Swarm Optimization","publication_year":2019,"publication_date":"2019-05-06","ids":{"openalex":"https://openalex.org/W2944281459","doi":"https://doi.org/10.1017/s0890060419000131","mag":"2944281459"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060419000131","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060419000131","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-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/A5043411793","display_name":"Mohd Fadzil Faisae Ab Rashid","orcid":"https://orcid.org/0000-0001-8573-3083"},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohd Fadzil Faisae Ab Rashid","raw_affiliation_strings":["Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066657755","display_name":"Ashutosh Tiwari","orcid":"https://orcid.org/0000-0002-6197-1519"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ashutosh Tiwari","raw_affiliation_strings":["Manufacturing and Materials Department, Cranfield University, Bedford MK43 0AL, UK"],"affiliations":[{"raw_affiliation_string":"Manufacturing and Materials Department, Cranfield University, Bedford MK43 0AL, UK","institution_ids":["https://openalex.org/I82284825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022038523","display_name":"Windo Hutabarat","orcid":"https://orcid.org/0000-0001-7393-7695"},"institutions":[{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Windo Hutabarat","raw_affiliation_strings":["Manufacturing and Materials Department, Cranfield University, Bedford MK43 0AL, UK"],"affiliations":[{"raw_affiliation_string":"Manufacturing and Materials Department, Cranfield University, Bedford MK43 0AL, UK","institution_ids":["https://openalex.org/I82284825"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043411793"],"corresponding_institution_ids":["https://openalex.org/I102913810"],"apc_list":null,"apc_paid":null,"fwci":1.7403,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87018182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"33","issue":"03","first_page":"332","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9998999834060669,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9998999834060669,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9950000047683716,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9789000153541565,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8265892267227173},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5635454654693604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5234910249710083},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44563156366348267},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4423118531703949},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4334127604961395},{"id":"https://openalex.org/keywords/assembly-line","display_name":"Assembly line","score":0.41291409730911255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2551475167274475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22360166907310486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18672627210617065}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8265892267227173},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5635454654693604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5234910249710083},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44563156366348267},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4423118531703949},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4334127604961395},{"id":"https://openalex.org/C3019666875","wikidata":"https://www.wikidata.org/wiki/Q455037","display_name":"Assembly line","level":2,"score":0.41291409730911255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2551475167274475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22360166907310486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18672627210617065},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1017/s0890060419000131","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060419000131","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:147016","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1278182532","https://openalex.org/W1493147895","https://openalex.org/W1493247615","https://openalex.org/W1595498733","https://openalex.org/W1987743973","https://openalex.org/W1991818765","https://openalex.org/W1999562036","https://openalex.org/W2000381225","https://openalex.org/W2010067492","https://openalex.org/W2012166162","https://openalex.org/W2026891605","https://openalex.org/W2029126008","https://openalex.org/W2048829851","https://openalex.org/W2069078237","https://openalex.org/W2075096132","https://openalex.org/W2075292279","https://openalex.org/W2086195056","https://openalex.org/W2088823736","https://openalex.org/W2100216851","https://openalex.org/W2139824765","https://openalex.org/W2213518643","https://openalex.org/W2277113912","https://openalex.org/W2520566520","https://openalex.org/W2528686611","https://openalex.org/W2575449049","https://openalex.org/W2579185261","https://openalex.org/W2589124890","https://openalex.org/W2736184596"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W2001591765","https://openalex.org/W2384474142","https://openalex.org/W3083133203","https://openalex.org/W1588199609","https://openalex.org/W2744462909","https://openalex.org/W1971520370","https://openalex.org/W1550055091"],"abstract_inverted_index":{"Abstract":[0],"Recently,":[1],"interest":[2],"in":[3,38,167,184],"integrated":[4,67,87,91,114,202,219],"assembly":[5,10,52,88,187,226],"sequence":[6],"planning":[7],"(ASP)":[8],"and":[9,40,64,70,94,117,175,204,216,221],"line":[11],"balancing":[12],"(ALB)":[13],"began":[14],"to":[15,31,49,105,111,142,149,179,214],"pick":[16],"up":[17],"because":[18],"of":[19,85,109,124,169,193,201],"its":[20],"numerous":[21],"benefits,":[22],"such":[23],"as":[24,148],"the":[25,50,66,86,107,113,144,151,160,177,181,185,198,210,218],"larger":[26],"search":[27,189],"space":[28],"that":[29,54,159],"leads":[30],"better":[32],"solution":[33,170],"quality,":[34],"reduced":[35],"error":[36],"rate":[37],"planning,":[39],"expedited":[41],"product":[42],"time-to-market.":[43],"However,":[44],"existing":[45],"research":[46,195,213,223],"is":[47,81,96,196,209],"limited":[48],"simple":[51],"problem":[53],"only":[55],"runs":[56],"one":[57],"homogenous":[58],"product.":[59],"This":[60,80,207],"paper":[61,208],"therefore":[62],"models":[63],"optimizes":[65],"mixed-model":[68,92,115,186,225],"ASP":[69,93,116,203,220],"ALB":[71,95,205,222],"using":[72,98,121],"Multi-objective":[73],"Discrete":[74],"Particle":[75],"Swarm":[76],"Optimization":[77],"(MODPSO)":[78],"concurrently.":[79],"a":[82,122,164],"new":[83,199],"variant":[84,200],"problem.":[89,152,206,227],"The":[90,153,191],"modeled":[97],"task-based":[99],"joint":[100],"precedence":[101],"graph.":[102],"In":[103],"order":[104],"test":[106,126],"performance":[108],"MODPSO":[110,136,161],"optimize":[112,150,217],"ALB,":[118],"an":[119],"experiment":[120,157],"set":[123],"51":[125],"problems":[127],"with":[128],"different":[129],"difficulty":[130],"levels":[131],"was":[132,139],"conducted.":[133],"Besides":[134],"that,":[135],"coefficient":[137],"tuning":[138],"also":[140],"conducted":[141],"identify":[143],"best":[145],"setting":[146],"so":[147],"results":[154],"from":[155],"this":[156,194],"indicated":[158],"algorithm":[162],"presents":[163],"significant":[165],"improvement":[166],"term":[168],"quality":[171],"toward":[172],"Pareto":[173],"optimal":[174],"demonstrates":[176],"ability":[178],"explore":[180],"extreme":[182],"solutions":[183],"optimization":[188],"space.":[190],"originality":[192],"on":[197],"first":[211],"published":[212],"model":[215],"for":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}