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Kaiser P, Thevapalan A, Reining C, Kern-Isberner G, ten Hompel M (2021). Generating Highly Constrained Warehouse Layouts Using Answer Set Programming. Logistics Journal : Proceedings, Vol. 2021. (urn:nbn:de:0009-14-54219)
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%0 Journal Article %T Generating Highly Constrained Warehouse Layouts Using Answer Set Programming %A Kaiser, Pascal %A Thevapalan, Andre %A Reining, Christopher %A Kern-Isberner, Gabriele %A ten Hompel, Michael %J Logistics Journal : Proceedings %D 2021 %V 2021 %N 17 %@ 2192-9084 %F kaiser2021 %X Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems. %L 620 %K Antwortmengenprogrammierung %K Kommissionierlager %K Layoutplanung %K Logische Programmierung %K answer set programming %K layout planning %K logic programming %K picking %K warehousing %R 10.2195/lj_Proc_kaiser_en_202112_01 %U http://nbn-resolving.de/urn:nbn:de:0009-14-54219 %U http://dx.doi.org/10.2195/lj_Proc_kaiser_en_202112_01Download
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@Article{kaiser2021, author = "Kaiser, Pascal and Thevapalan, Andre and Reining, Christopher and Kern-Isberner, Gabriele and ten Hompel, Michael", title = "Generating Highly Constrained Warehouse Layouts Using Answer Set Programming", journal = "Logistics Journal : Proceedings", year = "2021", volume = "2021", number = "17", keywords = "Antwortmengenprogrammierung; Kommissionierlager; Layoutplanung; Logische Programmierung; answer set programming; layout planning; logic programming; picking; warehousing", abstract = "Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems.", issn = "2192-9084", doi = "10.2195/lj_Proc_kaiser_en_202112_01", url = "http://nbn-resolving.de/urn:nbn:de:0009-14-54219" }Download
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TY - JOUR AU - Kaiser, Pascal AU - Thevapalan, Andre AU - Reining, Christopher AU - Kern-Isberner, Gabriele AU - ten Hompel, Michael PY - 2021 DA - 2021// TI - Generating Highly Constrained Warehouse Layouts Using Answer Set Programming JO - Logistics Journal : Proceedings VL - 2021 IS - 17 KW - Antwortmengenprogrammierung KW - Kommissionierlager KW - Layoutplanung KW - Logische Programmierung KW - answer set programming KW - layout planning KW - logic programming KW - picking KW - warehousing AB - Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems. SN - 2192-9084 UR - http://nbn-resolving.de/urn:nbn:de:0009-14-54219 DO - 10.2195/lj_Proc_kaiser_en_202112_01 ID - kaiser2021 ER -Download
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<?xml version="1.0" encoding="UTF-8"?> <b:Sources SelectedStyle="" xmlns:b="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" xmlns="http://schemas.openxmlformats.org/officeDocument/2006/bibliography" > <b:Source> <b:Tag>kaiser2021</b:Tag> <b:SourceType>ArticleInAPeriodical</b:SourceType> <b:Year>2021</b:Year> <b:PeriodicalTitle>Logistics Journal : Proceedings</b:PeriodicalTitle> <b:Volume>2021</b:Volume> <b:Issue>17</b:Issue> <b:Url>http://nbn-resolving.de/urn:nbn:de:0009-14-54219</b:Url> <b:Url>http://dx.doi.org/10.2195/lj_Proc_kaiser_en_202112_01</b:Url> <b:Author> <b:Author><b:NameList> <b:Person><b:Last>Kaiser</b:Last><b:First>Pascal</b:First></b:Person> <b:Person><b:Last>Thevapalan</b:Last><b:First>Andre</b:First></b:Person> <b:Person><b:Last>Reining</b:Last><b:First>Christopher</b:First></b:Person> <b:Person><b:Last>Kern-Isberner</b:Last><b:First>Gabriele</b:First></b:Person> <b:Person><b:Last>ten Hompel</b:Last><b:First>Michael</b:First></b:Person> </b:NameList></b:Author> </b:Author> <b:Title>Generating Highly Constrained Warehouse Layouts Using Answer Set Programming</b:Title> <b:Comments>Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems.</b:Comments> </b:Source> </b:Sources>Download
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PT Journal AU Kaiser, P Thevapalan, A Reining, C Kern-Isberner, G ten Hompel, M TI Generating Highly Constrained Warehouse Layouts Using Answer Set Programming SO Logistics Journal : Proceedings PY 2021 VL 2021 IS 17 DI 10.2195/lj_Proc_kaiser_en_202112_01 DE Antwortmengenprogrammierung; Kommissionierlager; Layoutplanung; Logische Programmierung; answer set programming; layout planning; logic programming; picking; warehousing AB Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems. ERDownload
Mods
<mods> <titleInfo> <title>Generating Highly Constrained Warehouse Layouts Using Answer Set Programming</title> </titleInfo> <name type="personal"> <namePart type="family">Kaiser</namePart> <namePart type="given">Pascal</namePart> </name> <name type="personal"> <namePart type="family">Thevapalan</namePart> <namePart type="given">Andre</namePart> </name> <name type="personal"> <namePart type="family">Reining</namePart> <namePart type="given">Christopher</namePart> </name> <name type="personal"> <namePart type="family">Kern-Isberner</namePart> <namePart type="given">Gabriele</namePart> </name> <name type="personal"> <namePart type="family">ten Hompel</namePart> <namePart type="given">Michael</namePart> </name> <abstract>Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems.</abstract> <subject> <topic>Antwortmengenprogrammierung</topic> <topic>Kommissionierlager</topic> <topic>Layoutplanung</topic> <topic>Logische Programmierung</topic> <topic>answer set programming</topic> <topic>layout planning</topic> <topic>logic programming</topic> <topic>picking</topic> <topic>warehousing</topic> </subject> <classification authority="ddc">620</classification> <relatedItem type="host"> <genre authority="marcgt">periodical</genre> <genre>academic journal</genre> <titleInfo> <title>Logistics Journal : Proceedings</title> </titleInfo> <part> <detail type="volume"> <number>2021</number> </detail> <detail type="issue"> <number>17</number> </detail> <date>2021</date> </part> </relatedItem> <identifier type="issn">2192-9084</identifier> <identifier type="urn">urn:nbn:de:0009-14-54219</identifier> <identifier type="doi">10.2195/lj_Proc_kaiser_en_202112_01</identifier> <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-54219</identifier> <identifier type="citekey">kaiser2021</identifier> </mods>Download
Full Metadata
Bibliographic Citation | Logistics Journal : referierte Veröffentlichungen, Vol. 2021, Iss. 17 |
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Title |
Generating Highly Constrained Warehouse Layouts Using Answer Set Programming (eng) |
Author | Pascal Kaiser, Andre Thevapalan, Christopher Reining, Gabriele Kern-Isberner, Michael ten Hompel |
Language | eng |
Abstract | Generating highly constrained warehouse layouts is a challenging task for layout planners. Those experts create feasible layouts analytically based on their knowledge and experience. The presented paper proposes an AI-based approach to generate feasible warehouse layouts automatically by using answer set programming. The developed implementation is able to generate all feasible combinations for positioning racks inside a given layout while satisfying all the applicable constraints. This sup-ports layout planners by generating solutions for highly constrained problems. Die Erzeugung gültiger Lösungen für stark eingeschränkte Lagerlayouts ist eine Herausforderung für Layoutplaner. Diese Experten generieren zulässige Layouts bisher analytisch basierend auf ihrer Erfahrung und ihrem Wissen. Der vorliegende Artikel stellt einen KI-basierten Ansatz vor, um zulässige Layouts automatisch mithilfe der Antwortmengenprogrammierung zu erzeugen. Das vorgestellte Framework ist in der Lage, alle zulässigen Lösungen zu generieren, um eine gewisse Anzahl an Regalen innerhalb des Layouts zu positionieren. Dadurch werden die Layoutplaner bei der Lösung stark eingeschränkter Probleme unterstützt. |
Subject | Antwortmengenprogrammierung, Kommissionierlager, Layoutplanung, Logische Programmierung, answer set programming, layout planning, logic programming, picking, warehousing |
DDC | 620 |
Rights | fDPPL |
URN: | urn:nbn:de:0009-14-54219 |
DOI | https://doi.org/10.2195/lj_Proc_kaiser_en_202112_01 |