{"id":"https://openalex.org/W2074844908","doi":"https://doi.org/10.1109/scis-isis.2012.6505322","title":"Integer programming approach for a class of staff scheduling problems \u2014 Schedule optimization and parameter estimation","display_name":"Integer programming approach for a class of staff scheduling problems \u2014 Schedule optimization and parameter estimation","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2074844908","doi":"https://doi.org/10.1109/scis-isis.2012.6505322","mag":"2074844908"},"language":"en","primary_location":{"id":"doi:10.1109/scis-isis.2012.6505322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2012.6505322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems","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/A5056403336","display_name":"Makoto Ohara","orcid":"https://orcid.org/0000-0002-6137-5493"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Ohara","raw_affiliation_strings":["Graduate School of Law, Kobe University, Rokko-dai 2-1, Nada-ku, Kobe, 657-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Law, Kobe University, Rokko-dai 2-1, Nada-ku, Kobe, 657-8501, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108618496","display_name":"Hisashi Tamaki","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisashi Tamaki","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Rokko-dai 1-1, Nada-ku, Kobe, 657-8501, Japan","Graduate School of System Informatics, Kobe University Rokko-dai 1-1, Nada-ku, Kobe, 657-8501 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Rokko-dai 1-1, Nada-ku, Kobe, 657-8501, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University Rokko-dai 1-1, Nada-ku, Kobe, 657-8501 Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.828,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77069874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"877","last_page":"882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9961000084877014,"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":0.9818000197410583,"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/integer-programming","display_name":"Integer programming","score":0.7411791086196899},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.710946261882782},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6647602915763855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6557221412658691},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6006042957305908},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5589437484741211},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.42050501704216003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20430997014045715}],"concepts":[{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.7411791086196899},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.710946261882782},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6647602915763855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557221412658691},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6006042957305908},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5589437484741211},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.42050501704216003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20430997014045715},{"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/scis-isis.2012.6505322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/scis-isis.2012.6505322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1981097545","https://openalex.org/W1998542566","https://openalex.org/W2068735039","https://openalex.org/W2091401346"],"related_works":["https://openalex.org/W3172150420","https://openalex.org/W3204654320","https://openalex.org/W2065128788","https://openalex.org/W2903899051","https://openalex.org/W4246856022","https://openalex.org/W2147193423","https://openalex.org/W2367877056","https://openalex.org/W1987783546","https://openalex.org/W2025955409","https://openalex.org/W1577301438"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3,26],"integer":[4,160,234],"programming":[5,37,161,235],"approach":[6,282],"for":[7,17],"a":[8,35,40,44,52,56,59,62,65,70,86,91,143,149,159,220,225],"class":[9],"of":[10,20,98,152,172,186,214,254,257,265,271,279],"staff":[11,45,67,136,202],"scheduling":[12,127,137],"problems":[13,22,128],"which":[14,43,124],"is":[15,78,107,139,156,190,217],"applicable":[16],"various":[18],"kinds":[19,97],"the":[21,108,111,126,135,170,177,188,194,200,209,212,215,233,252,255,263,269,274,277,280],"by":[23,192],"both":[24],"adopting":[25],"optimization":[27],"model":[28,264],"and":[29,100,155,204,276],"parameter":[30],"estimation":[31],"techniques":[32],"based":[33,73],"on":[34,74,179],"mathematical":[36],"formulation.":[38],"For":[39],"work":[41,153],"in":[42,69,142,248],"must":[46],"change":[47],"or":[48,64,223],"rotate":[49],"shifts,":[50],"generally,":[51],"responsible":[53],"personnel":[54],"(e.g.,":[55,61],"manager)":[57],"makes":[58,125],"schedule":[60,88,222,227],"dairy":[63],"weekly":[66],"assignment)":[68],"manual":[71],"way":[72,256],"some":[75,184,242],"experiences.":[76],"It":[77],"very":[79],"hard,":[80],"however,":[81],"to":[82,95,147,239,250],"generate":[83],"not":[84,114,218,229],"only":[85],"good":[87,221],"but":[89],"also":[90],"feasible":[92],"one,":[93],"due":[94],"several":[96],"constraints":[99,112],"requirements":[101],"should":[102],"be":[103,115,230],"satisfied.":[104],"Here,":[105],"it":[106],"case":[109,210],"that":[110,211],"are":[113,181,283],"completely":[116],"clear":[117],"because":[118],"these":[119],"have":[120,245],"no":[121],"evident":[122],"boundary,":[123],"more":[129],"difficult.":[130],"In":[131,163,208],"this":[132,164,240],"paper,":[133],"first,":[134],"problem":[138],"formally":[140],"described":[141],"rather":[144],"generalized":[145],"form":[146],"apply":[148],"wide":[150],"range":[151],"types,":[154],"formulated":[157],"as":[158,174,176,260,262],"model.":[162,236],"formulation,":[165],"so":[166],"many":[167],"parameters":[168,189,216,259],"concerning":[169],"desires":[171],"workers":[173],"well":[175,261],"conditions":[178],"works":[180],"included.":[182],"Then,":[183],"ways":[185],"identifying":[187],"investigated":[191],"utilizing":[193],"available":[195],"information":[196],"acquired":[197],"extraction":[198],"from":[199,206],"past":[201],"schedules":[203],"listening":[205],"managers.":[207],"setting":[213,258],"suitable,":[219],"even":[224],"practical":[226],"can":[228],"obtained":[231],"through":[232],"With":[237],"respect":[238],"point,":[241],"computational":[243,272],"examples":[244],"been":[246],"done":[247],"order":[249],"examine":[251],"reliability":[253],"optimizing":[266],"schedule.":[267],"Through":[268],"result":[270],"examples,":[273],"effectiveness":[275],"potential":[278],"proposed":[281],"confirmed.":[284]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}