{"id":"https://openalex.org/W2155937776","doi":"https://doi.org/10.1109/fuzz.2003.1206631","title":"Constructing a job-shop scheduling model based on imprecise data","display_name":"Constructing a job-shop scheduling model based on imprecise data","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2155937776","doi":"https://doi.org/10.1109/fuzz.2003.1206631","mag":"2155937776"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1206631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5045512260","display_name":"Feng\u2010Tse Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I205612303","display_name":"Chinese Culture University","ror":"https://ror.org/04shepe48","country_code":"TW","type":"education","lineage":["https://openalex.org/I205612303"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Feng-Tse Lin","raw_affiliation_strings":["Department of Applied Mathematics, Chinese Cultural University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Chinese Cultural University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045512260"],"corresponding_institution_ids":["https://openalex.org/I205612303"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.21746032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1374","last_page":"1379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11727","display_name":"Advanced Algebra and Logic","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.7548468708992004},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.748211145401001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6228100061416626},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.5545922517776489},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.5457117557525635},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.5232880711555481},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5028535723686218},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.4863458275794983},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4617137908935547},{"id":"https://openalex.org/keywords/open-shop-scheduling","display_name":"Open-shop scheduling","score":0.4210737943649292},{"id":"https://openalex.org/keywords/lottery-scheduling","display_name":"Lottery scheduling","score":0.4137572646141052},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35161346197128296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23732244968414307},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.06056472659111023}],"concepts":[{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.7548468708992004},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.748211145401001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228100061416626},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.5545922517776489},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.5457117557525635},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5232880711555481},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5028535723686218},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.4863458275794983},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4617137908935547},{"id":"https://openalex.org/C35799125","wikidata":"https://www.wikidata.org/wiki/Q7095711","display_name":"Open-shop scheduling","level":5,"score":0.4210737943649292},{"id":"https://openalex.org/C112866106","wikidata":"https://www.wikidata.org/wiki/Q267053","display_name":"Lottery scheduling","level":5,"score":0.4137572646141052},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35161346197128296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23732244968414307},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.06056472659111023},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1206631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W634463279","https://openalex.org/W1500251904","https://openalex.org/W1580851655","https://openalex.org/W1969937416","https://openalex.org/W1998510734","https://openalex.org/W2001050033","https://openalex.org/W2042312329","https://openalex.org/W2043932195","https://openalex.org/W2048687263","https://openalex.org/W2068721389","https://openalex.org/W2071306171","https://openalex.org/W2081278763","https://openalex.org/W2084517692","https://openalex.org/W2088304441","https://openalex.org/W2105854030","https://openalex.org/W2118031046","https://openalex.org/W2120602102","https://openalex.org/W2157846217","https://openalex.org/W4300445707","https://openalex.org/W6620272070","https://openalex.org/W6630096892","https://openalex.org/W6672518722","https://openalex.org/W7001388669"],"related_works":["https://openalex.org/W82886544","https://openalex.org/W2367998682","https://openalex.org/W2361546733","https://openalex.org/W2070373866","https://openalex.org/W2596081411","https://openalex.org/W2012754152","https://openalex.org/W2057737420","https://openalex.org/W2533899164","https://openalex.org/W2155809154","https://openalex.org/W2949165180"],"abstract_inverted_index":{"Job-shop":[0],"scheduling":[1,26,56,78,88],"is":[2,12,37],"a":[3,13,75,91],"difficult":[4],"problem,":[5],"both":[6],"theoretically":[7],"and":[8,72],"practically.":[9],"This":[10],"problem":[11,27,47,57,89,94],"combinatorial":[14],"optimization":[15],"of":[16,34],"considerable":[17],"industrial":[18],"importance":[19],"for":[20],"many":[21],"years.":[22],"Although":[23],"the":[24,40,44,54,85],"job-shop":[25,55,77,87],"has":[28],"often":[29],"been":[30],"investigated,":[31],"very":[32],"little":[33],"this":[35,50],"research":[36],"concerned":[38],"with":[39,58],"uncertainty":[41],"characterized":[42],"by":[43],"imprecision":[45],"in":[46,99],"variables.":[48],"In":[49],"paper,":[51],"we":[52],"investigate":[53],"imprecise":[59,69],"processing":[60,70],"times.":[61],"We":[62],"use":[63],"triangular":[64],"fuzzy":[65,76],"numbers":[66],"to":[67,83],"represent":[68],"times,":[71],"then":[73],"construct":[74],"model.":[79],"Our":[80],"work":[81],"intends":[82],"extend":[84],"original":[86],"into":[90],"more":[92],"generalized":[93],"that":[95],"would":[96],"be":[97],"useful":[98],"practical":[100],"situations.":[101]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
