{"id":"https://openalex.org/W4415974621","doi":"https://doi.org/10.1016/j.procs.2025.09.131","title":"Impact of steering parameters in mushroom-picker heuristics for optimizing shelf space allocation with combined vertical and horizontal product categorization","display_name":"Impact of steering parameters in mushroom-picker heuristics for optimizing shelf space allocation with combined vertical and horizontal product categorization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974621","doi":"https://doi.org/10.1016/j.procs.2025.09.131"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.131","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.131","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.131","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043617863","display_name":"Kateryna Czerniachowska","orcid":"https://orcid.org/0000-0002-1808-6020"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Kateryna Czerniachowska","raw_affiliation_strings":["Wroclaw University of Economics and Business, Komandorska 118/120, 53-345 Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Economics and Business, Komandorska 118/120, 53-345 Wroclaw, Poland","institution_ids":["https://openalex.org/I305801656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014636964","display_name":"Krzysztof Lutos\u0142awski","orcid":"https://orcid.org/0000-0002-2978-1184"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Lutos\u0142awski","raw_affiliation_strings":["Wroclaw University of Economics and Business, Komandorska 118/120, 53-345 Wroclaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wroclaw University of Economics and Business, Komandorska 118/120, 53-345 Wroclaw, Poland","institution_ids":["https://openalex.org/I305801656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043617863"],"corresponding_institution_ids":["https://openalex.org/I305801656"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51627544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"124","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.7566999793052673,"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":0.7566999793052673,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.1582999974489212,"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":0.017500000074505806,"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/heuristics","display_name":"Heuristics","score":0.7972000241279602},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7670999765396118},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5805000066757202},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.49239999055862427},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.37139999866485596},{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.3084999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8381999731063843},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7972000241279602},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7670999765396118},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5805000066757202},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4081999957561493},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36320000886917114},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30169999599456787},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C59218005","wikidata":"https://www.wikidata.org/wiki/Q17027571","display_name":"Horizontal and vertical","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2988046880","wikidata":"https://www.wikidata.org/wiki/Q3084961","display_name":"Product line","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.09.131","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.131","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.131","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.131","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969353154","https://openalex.org/W2001662188","https://openalex.org/W2004617458","https://openalex.org/W2017304836","https://openalex.org/W2045168835","https://openalex.org/W2085308669","https://openalex.org/W2096122157","https://openalex.org/W2107227285","https://openalex.org/W2133848898","https://openalex.org/W2164876752","https://openalex.org/W2925826544","https://openalex.org/W4229942708","https://openalex.org/W4312429640","https://openalex.org/W4378083174","https://openalex.org/W4415775722"],"related_works":[],"abstract_inverted_index":{"The":[0,19,89],"shelf":[1,77],"space":[2,40,109],"allocation":[3],"problem":[4],"in":[5,30],"distribution":[6],"centres":[7],"focuses":[8],"on":[9,13,56,99,108],"efficiently":[10],"organizing":[11],"products":[12,54],"racks":[14],"to":[15,22,38,75],"enhance":[16],"warehouse":[17,87],"operations.":[18],"study":[20],"aimed":[21],"investigate":[23],"the":[24,92,100,120],"impact":[25,93],"of":[26,53,94,102],"steering":[27,73,97,118],"parameters":[28,98],"embedded":[29],"a":[31],"new":[32],"heuristic-based":[33],"algorithm":[34],"for":[35],"product":[36,79,104],"organization":[37],"improve":[39],"utilization":[41],"and":[42,50,63,81,112],"operational":[43,113],"efficiency.":[44,114],"This":[45],"research":[46],"addresses":[47],"both":[48],"vertical":[49],"horizontal":[51],"categorization":[52],"based":[55],"various":[57],"attributes,":[58],"such":[59],"as":[60],"packaging,":[61],"compatibility,":[62],"storage":[64],"requirements.":[65],"We":[66],"propose":[67],"mushroom-picker":[68],"heuristics,":[69],"guided":[70],"by":[71],"13":[72],"parameters,":[74,119],"optimize":[76],"allocation,":[78],"orientation,":[80],"category":[82],"organization,":[83],"ultimately":[84],"improving":[85],"overall":[86],"performance.":[88],"experiments":[90],"assess":[91],"two":[95],"grouping":[96],"number":[101],"generated":[103],"allocations":[105],"and,":[106],"consequently,":[107],"utilization,":[110],"accessibility,":[111],"By":[115],"applying":[116],"appropriate":[117],"proposed":[121],"heuristics":[122],"consistently":[123],"achieve":[124],"nearly":[125],"identical":[126],"profit":[127],"ratios":[128],"across":[129],"all":[130],"scenarios,":[131],"approaching":[132],"100%.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-06T00:00:00"}