{"id":"https://openalex.org/W4295250503","doi":"https://doi.org/10.1080/00207543.2022.2118887","title":"Energy-efficient unrelated parallel machine scheduling with general position-based deterioration","display_name":"Energy-efficient unrelated parallel machine scheduling with general position-based deterioration","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4295250503","doi":"https://doi.org/10.1080/00207543.2022.2118887"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2022.2118887","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2118887","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","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/A5100606464","display_name":"Yusheng Wang","orcid":"https://orcid.org/0000-0001-9761-5519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusheng Wang","raw_affiliation_strings":["School of Management, Northwestern Polytechnical University, Xi\u2019an, People\u2019s Republic of China","School of Management, Northwestern Polytechnical University, Xi'an, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Northwestern Polytechnical University, Xi\u2019an, People\u2019s Republic of China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Management, Northwestern Polytechnical University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090287870","display_name":"Ada Che","orcid":"https://orcid.org/0000-0002-8133-4058"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ada Che","raw_affiliation_strings":["School of Management, Northwestern Polytechnical University, Xi\u2019an, People\u2019s Republic of China","School of Management, Northwestern Polytechnical University, Xi'an, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Northwestern Polytechnical University, Xi\u2019an, People\u2019s Republic of China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Management, Northwestern Polytechnical University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048325391","display_name":"Jianguang Feng","orcid":"https://orcid.org/0000-0003-4927-9025"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguang Feng","raw_affiliation_strings":["School of Management, Northwestern Polytechnical University, Xi\u2019an, People\u2019s Republic of China","School of Management, Northwestern Polytechnical University, Xi'an, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Northwestern Polytechnical University, Xi\u2019an, People\u2019s Republic of China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Management, Northwestern Polytechnical University, Xi'an, People's Republic of China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090287870"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.3563,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82271405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"61","issue":"17","first_page":"5886","last_page":"5900"},"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":0.9983999729156494,"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":0.9976000189781189,"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/job-shop-scheduling","display_name":"Job shop scheduling","score":0.8525981903076172},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7490551471710205},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5899496078491211},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5862596035003662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5371651649475098},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5175454020500183},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.47089439630508423},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4384266138076782},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42111003398895264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27474910020828247},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.05832874774932861}],"concepts":[{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.8525981903076172},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7490551471710205},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5899496078491211},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5862596035003662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5371651649475098},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5175454020500183},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.47089439630508423},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4384266138076782},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42111003398895264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27474910020828247},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.05832874774932861},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2022.2118887","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2118887","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:61:y:2023:i:17:p:5886-5900","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2022.2118887","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G2189857750","display_name":"\u52a0\u5de5\u901f\u5ea6\u53ef\u53d8\u7684\u8282\u80fd\u578b\u81ea\u52a8\u5316\u5236\u9020\u5355\u5143\u8c03\u5ea6\u7814\u7a76","funder_award_id":"71871183","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1488422606","https://openalex.org/W1689539538","https://openalex.org/W1969272802","https://openalex.org/W1992216074","https://openalex.org/W2001612470","https://openalex.org/W2014072442","https://openalex.org/W2039048057","https://openalex.org/W2039771670","https://openalex.org/W2056152068","https://openalex.org/W2059406189","https://openalex.org/W2093067706","https://openalex.org/W2096302562","https://openalex.org/W2137958320","https://openalex.org/W2215529188","https://openalex.org/W2222512263","https://openalex.org/W2335772971","https://openalex.org/W2340799592","https://openalex.org/W2469633997","https://openalex.org/W2603316374","https://openalex.org/W2604573531","https://openalex.org/W2606846577","https://openalex.org/W2611323479","https://openalex.org/W2744191462","https://openalex.org/W2756713971","https://openalex.org/W2780945485","https://openalex.org/W2782628021","https://openalex.org/W2796863896","https://openalex.org/W2808566783","https://openalex.org/W2898374553","https://openalex.org/W2902256746","https://openalex.org/W2908690890","https://openalex.org/W2909484448","https://openalex.org/W2947605446","https://openalex.org/W2948098966","https://openalex.org/W2951202193","https://openalex.org/W2973123735","https://openalex.org/W2974930768","https://openalex.org/W2985052688","https://openalex.org/W2990729546","https://openalex.org/W3042781239","https://openalex.org/W3134709656","https://openalex.org/W3135187434","https://openalex.org/W3173042697","https://openalex.org/W3196734067","https://openalex.org/W3215374780","https://openalex.org/W4200400300","https://openalex.org/W4255654664","https://openalex.org/W4280618336"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W2107725657","https://openalex.org/W2112121444","https://openalex.org/W2509452605","https://openalex.org/W3112689649","https://openalex.org/W2148608945","https://openalex.org/W2998357381","https://openalex.org/W2101020326","https://openalex.org/W2808535280","https://openalex.org/W2011675579"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"an":[3,90,105],"energy-efficient":[4],"scheduling":[5],"problem":[6],"on":[7,86,93,99],"unrelated":[8],"parallel":[9],"machines":[10],"considering":[11],"general":[12],"position-based":[13],"deterioration":[14],"which":[15],"arises":[16],"from":[17],"the":[18,34,37,45,53,75,87,94,133,140,150,154,171,175],"labour-intensive":[19],"textile":[20],"industry.":[21],"The":[22,48,116],"actual":[23],"processing":[24,46],"time":[25],"of":[26,96,163],"a":[27,58,68,110],"job":[28,35],"is":[29,50,78,143,178],"not":[30],"only":[31],"associated":[32],"with":[33,41,57,109,132,160,188],"and":[36,83,89,126,129],"machine":[38],"but":[39],"also":[40,103],"its":[42],"position":[43],"in":[44],"sequence.":[47],"objective":[49],"to":[51,145],"minimise":[52],"total":[54],"energy":[55],"consumption":[56],"bounded":[59],"makespan.":[60],"To":[61],"address":[62],"this":[63],"problem,":[64],"we":[65],"first":[66],"establish":[67],"mixed-integer":[69],"linear":[70],"programming":[71],"(MILP)":[72],"model.":[73],"Afterwards,":[74],"initial":[76,119],"model":[77,142],"improved":[79,141],"by":[80,122],"deriving":[81],"lower":[82],"upper":[84,91],"bounds":[85],"makespan,":[88],"bound":[92],"number":[95],"jobs":[97],"processed":[98],"each":[100],"machine.":[101],"We":[102],"develop":[104],"iterative":[106],"heuristic":[107,156],"embedded":[108],"variable":[111],"neighbourhood":[112],"search":[113],"procedure":[114],"(IHVNS).":[115],"algorithm":[117,177],"obtains":[118],"solutions":[120,159],"iteratively":[121],"solving":[123,185],"assignment":[124],"problems":[125,187],"then":[127],"repairs":[128],"improves":[130],"them":[131],"VNS":[134],"procedure.":[135],"Computational":[136],"results":[137,172],"demonstrate":[138],"that":[139,174],"up":[144],"230":[146],"times":[147],"faster":[148],"than":[149,165,181],"original":[151],"one.":[152],"Moreover,":[153],"proposed":[155],"yields":[157],"excellent":[158],"average":[161],"gaps":[162],"less":[164],"0.73%":[166],"for":[167,184],"large-scale":[168,186],"instances.":[169],"Especially,":[170],"reveal":[173],"IHVNS":[176],"more":[179],"suitable":[180],"MILP":[182],"models":[183],"tight":[189],"makespan":[190],"restrictions.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
