{"id":"https://openalex.org/W4403676380","doi":"https://doi.org/10.1109/case59546.2024.10711354","title":"Modeling and Analysis of Multi-Line Orders in Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems","display_name":"Modeling and Analysis of Multi-Line Orders in Multi-Tote Storage and Retrieval Autonomous Mobile Robot Systems","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403676380","doi":"https://doi.org/10.1109/case59546.2024.10711354"},"language":"en","primary_location":{"id":"doi:10.1109/case59546.2024.10711354","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case59546.2024.10711354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5093225525","display_name":"Xiaotao Shan","orcid":"https://orcid.org/0009-0001-1616-497X"},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaotao Shan","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research and Innovation Laboratory,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research and Innovation Laboratory,U.K","institution_ids":["https://openalex.org/I4210143477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050824851","display_name":"Yichao Jin","orcid":"https://orcid.org/0000-0003-4141-7876"},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yichao Jin","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research and Innovation Laboratory,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research and Innovation Laboratory,U.K","institution_ids":["https://openalex.org/I4210143477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108148711","display_name":"Peizheng Li","orcid":"https://orcid.org/0009-0006-8194-2770"},"institutions":[{"id":"https://openalex.org/I4210143477","display_name":"Toshiba (United Kingdom)","ror":"https://ror.org/054hmd463","country_code":"GB","type":"company","lineage":["https://openalex.org/I1292669757","https://openalex.org/I4210143477"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peizheng Li","raw_affiliation_strings":["Toshiba Europe Ltd.,Bristol Research and Innovation Laboratory,U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toshiba Europe Ltd.,Bristol Research and Innovation Laboratory,U.K","institution_ids":["https://openalex.org/I4210143477"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011440376","display_name":"Koichi Kondo","orcid":"https://orcid.org/0009-0008-5600-6045"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Kondo","raw_affiliation_strings":["Toshiba Corporation,Corporate Technology Planning Div.,Kawasaki,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toshiba Corporation,Corporate Technology Planning Div.,Kawasaki,Japan","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28992389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1088","last_page":"1095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.991599977016449,"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":0.991599977016449,"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/T12288","display_name":"Optimization and Search Problems","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.7253289222717285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6922018527984619},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5103132128715515},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4967556595802307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3851557970046997},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36963921785354614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1045721173286438}],"concepts":[{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.7253289222717285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6922018527984619},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5103132128715515},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4967556595802307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3851557970046997},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36963921785354614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1045721173286438},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case59546.2024.10711354","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/case59546.2024.10711354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W125737031","https://openalex.org/W2051203581","https://openalex.org/W2468807217","https://openalex.org/W2776730508","https://openalex.org/W2904681706","https://openalex.org/W2924878303","https://openalex.org/W3117525340","https://openalex.org/W3158082253","https://openalex.org/W3176445167","https://openalex.org/W3211895440","https://openalex.org/W4212922449","https://openalex.org/W4280528300","https://openalex.org/W4283732197","https://openalex.org/W4313530645","https://openalex.org/W4379878605","https://openalex.org/W4398172795","https://openalex.org/W4398766604","https://openalex.org/W4399374702"],"related_works":["https://openalex.org/W8302103","https://openalex.org/W3171631314","https://openalex.org/W2674584172","https://openalex.org/W2967743314","https://openalex.org/W2606825221","https://openalex.org/W2184085865","https://openalex.org/W2064245428","https://openalex.org/W2170721890","https://openalex.org/W2122871747","https://openalex.org/W3114279067"],"abstract_inverted_index":{"As":[0],"warehouses":[1],"are":[2,30,66],"emphasizing":[3],"space":[4],"utilization":[5],"and":[6,15],"the":[7,63,89,103,110,114,126,132],"ability":[8],"to":[9,45,95],"handle":[10],"multi-line":[11,48],"orders,":[12],"multi-tote":[13],"storage":[14],"retrieval":[16,105],"(MTSR)":[17],"autonomous":[18],"mobile":[19],"robot":[20,122],"systems,":[21],"where":[22],"robots":[23,93,129],"directly":[24],"retrieve":[25],"totes":[26],"from":[27,61],"high":[28,77],"shelves,":[29],"becoming":[31],"increasingly":[32],"popular.":[33],"This":[34],"paper":[35],"presents":[36],"a":[37,85,97,121],"novel":[38],"shared-token,":[39],"multi-class,":[40],"semi-open":[41],"queueing":[42],"network":[43],"model":[44,65],"account":[46],"for":[47],"orders":[49],"with":[50,71,109],"general":[51],"distribution":[52],"forms":[53],"in":[54,88,131],"MTSR":[55],"systems.":[56],"The":[57],"numerical":[58],"results":[59,83],"obtained":[60],"solving":[62],"SOQN":[64],"validated":[67],"against":[68],"discrete-event":[69],"simulation,":[70],"most":[72],"key":[73],"performance":[74],"metrics":[75],"demonstrating":[76],"accuracy.":[78],"In":[79],"our":[80],"experimental":[81],"setting,":[82],"indicate":[84],"12.5%":[86],"reduction":[87],"minimum":[90],"number":[91,115,127],"of":[92,116,128],"needed":[94],"satisfy":[96],"specific":[98],"order":[99],"arrival":[100],"rate":[101],"using":[102],"closest":[104],"sequence":[106],"policy":[107],"compared":[108],"random":[111],"policy.":[112],"Increasing":[113],"tote":[117],"buffer":[118],"positions":[119],"on":[120],"can":[123],"greatly":[124],"reduce":[125],"required":[130],"warehouse.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}