{"id":"https://openalex.org/W2973966555","doi":"https://doi.org/10.1109/coase.2019.8843189","title":"Modelling a batch assorting operation for an autonomous cart in a parallel-aisle order assorting system","display_name":"Modelling a batch assorting operation for an autonomous cart in a parallel-aisle order assorting system","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2973966555","doi":"https://doi.org/10.1109/coase.2019.8843189","mag":"2973966555"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2019.8843189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8843189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","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/A5012566090","display_name":"Jeongman Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeongman Lee","raw_affiliation_strings":["Department of Industrial Engineering, Pusan National University, Busan, Koreal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Pusan National University, Busan, Koreal","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085061007","display_name":"Youngioo Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161173","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4210161173","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngioo Kim","raw_affiliation_strings":["Logistics System Research Team, Korea Railroad Research Institute, Gyeonggi-co, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Logistics System Research Team, Korea Railroad Research Institute, Gyeonggi-co, Korea","institution_ids":["https://openalex.org/I4210161173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079132110","display_name":"Soondo Hong","orcid":"https://orcid.org/0000-0001-7817-6776"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soondo Hong","raw_affiliation_strings":["Department of Industrial Engineering, Pusan National University, Busan, Koreal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Pusan National University, Busan, Koreal","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62617278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"60","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","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/T12176","display_name":"Optimization and Packing Problems","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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9840999841690063,"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":0.7145642042160034},{"id":"https://openalex.org/keywords/aisle","display_name":"Aisle","score":0.6161367893218994},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6038740873336792},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5212076902389526},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5113365054130554},{"id":"https://openalex.org/keywords/cart","display_name":"Cart","score":0.46230781078338623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3960754871368408},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33915892243385315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16438162326812744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15604573488235474},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.074485182762146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7145642042160034},{"id":"https://openalex.org/C2778203192","wikidata":"https://www.wikidata.org/wiki/Q939723","display_name":"Aisle","level":2,"score":0.6161367893218994},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6038740873336792},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5212076902389526},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5113365054130554},{"id":"https://openalex.org/C2777275308","wikidata":"https://www.wikidata.org/wiki/Q234668","display_name":"Cart","level":2,"score":0.46230781078338623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3960754871368408},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33915892243385315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16438162326812744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15604573488235474},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.074485182762146},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2019.8843189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2019.8843189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)","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":25,"referenced_works":["https://openalex.org/W28733612","https://openalex.org/W293580541","https://openalex.org/W561374952","https://openalex.org/W1964379056","https://openalex.org/W1968392669","https://openalex.org/W1987361686","https://openalex.org/W2025029363","https://openalex.org/W2036267200","https://openalex.org/W2060635272","https://openalex.org/W2088642120","https://openalex.org/W2095159691","https://openalex.org/W2109902682","https://openalex.org/W2111581650","https://openalex.org/W2128970394","https://openalex.org/W2133571777","https://openalex.org/W2164891879","https://openalex.org/W2317351523","https://openalex.org/W2468807217","https://openalex.org/W2484470889","https://openalex.org/W2502808274","https://openalex.org/W2751664002","https://openalex.org/W2776730508","https://openalex.org/W2789047767","https://openalex.org/W2945158069","https://openalex.org/W3041181859"],"related_works":["https://openalex.org/W2332584500","https://openalex.org/W2783761580","https://openalex.org/W2021177613","https://openalex.org/W2020743073","https://openalex.org/W2091747861","https://openalex.org/W2790569710","https://openalex.org/W1996956075","https://openalex.org/W2153347101","https://openalex.org/W3202172159","https://openalex.org/W2051987197"],"abstract_inverted_index":{"This":[0],"study":[1],"considers":[2],"an":[3,8,73],"order":[4,14,110],"assorting":[5,15,22,76,116,137,183],"operation":[6],"for":[7,24,97],"autonomous":[9,26,36,167],"cart":[10,28,168],"in":[11,57,157],"a":[12,20,58,123],"parallel-aisle":[13],"system":[16],"(OAS).":[17],"We":[18,71,163],"build":[19],"batch":[21,75,115,136,182],"model":[23,51,77,117],"the":[25,39,49,54,84,89,102,108,119,129,134,143,148,153,159,166,181],"assortment":[27,46],"and":[29,43,62,91,107,146,177,179],"develop":[30,92],"two":[31,93],"large-scale":[32,98,190],"heuristic":[33,95,140],"algorithms.":[34],"The":[35,113],"function":[37],"holds":[38],"information":[40],"of":[41,45,88,128,161],"locations":[42],"numbers":[44],"which":[47],"allows":[48],"batching":[50,111],"to":[52,63,82,188],"consider":[53],"multiple":[55,67],"products":[56],"trip":[59],"(i.e.,":[60,69],"batching)":[61],"split":[64],"them":[65],"into":[66],"trips":[68],"binning).":[70],"formulate":[72],"exact":[74,114,135],"using":[78],"mixed-integer":[79],"programming":[80],"(MIP)":[81],"minimize":[83],"total":[85],"travel":[86,130],"distance":[87],"cart,":[90],"greedy":[94],"algorithms":[96,141,184],"problems":[99],"based":[100],"on":[101],"First-fit":[103,149],"Decreasing":[104,150],"binning":[105,176],"algorithm":[106,151,156],"Seed":[109,155],"algorithm.":[112],"solves":[118],"medium-scale":[120,144],"problem":[121],"within":[122],"reasonable":[124],"time.":[125],"A":[126],"comparison":[127],"distances":[131],"shows":[132],"that":[133,147,165,180],"solution":[138],"dominates":[139],"over":[142],"operations":[145],"outperforms":[152],"modified":[154],"reducing":[158],"number":[160],"trips.":[162],"conclude":[164],"can":[169,185],"provide":[170],"additional":[171],"performance":[172],"gains":[173],"by":[174],"flexible":[175],"batching,":[178],"be":[186],"improved":[187],"support":[189],"operations.":[191]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}