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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_01

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Bibtex

@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"
}

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RIS

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  - 
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Wordbib

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<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>
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<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>
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<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>
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ISI

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.
ER

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Mods

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  <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>
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    <genre authority="marcgt">periodical</genre>
    <genre>academic journal</genre>
    <titleInfo>
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    <part>
      <detail type="volume">
        <number>2021</number>
      </detail>
      <detail type="issue">
        <number>17</number>
      </detail>
      <date>2021</date>
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  <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>
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