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Prinzhorn H, Böning C, Stonis M (2017). Flexible job-shop scheduling considering human performance fluctuations. Logistics Journal : nicht referierte Veröffentlichungen, Vol. 2017. (urn:nbn:de:0009-14-46119)

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%0 Journal Article
%T Flexible job-shop scheduling considering human performance fluctuations
%A Prinzhorn, Henrik
%A Böning, Christian
%A Stonis, Malte
%J Logistics Journal : nicht referierte Veröffentlichungen
%D 2017
%V 2017
%N 10
%@ 1860-5923
%F prinzhorn2017
%X In production, product-related error costs can be reduced by focusing on human production factors, such as considering human performance fluctuations during the day, when production planning with respect to job-shop scheduling. In this article, the flexible job-shop scheduling problem is extended by considering product-related error costs and logistic costs. Product-related error costs are increased by over stressing the operative workers. Logistic costs are based on work in process and throughput time. This cost-based definition enables a production plan to be simultaneously optimized in respect of both error and logistic costs. The product-related error costs and flexible job-shop scheduling problem are described mathematically and a memetic algorithm is also presented as an approach. Within the memetic algorithm, the evolutionary process is supplemented with a local search procedure to improve the ability of solutions and repair procedures to rectify infeasible solutions. The influence of product-related  error costs on the total costs of a produc-tion plan, throughput and job waiting times within job-shop scheduling is presented.
%L 620
%K flexible job-shop scheduling
%K memetic algorithm
%K human performance fluctuation
%K error costs
%R 10.2195/lj_NotRev_prinzhorn_en_201710_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-46119
%U http://dx.doi.org/10.2195/lj_NotRev_prinzhorn_en_201710_01

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Bibtex

@Article{prinzhorn2017,
  author = 	"Prinzhorn, Henrik
		and B{\"o}ning, Christian
		and Stonis, Malte",
  title = 	"Flexible job-shop scheduling considering human performance fluctuations",
  journal = 	"Logistics Journal : nicht referierte Ver{\"o}ffentlichungen",
  year = 	"2017",
  volume = 	"2017",
  number = 	"10",
  keywords = 	"flexible job-shop scheduling; memetic algorithm; human performance fluctuation; error costs",
  abstract = 	"In production, product-related error costs can be reduced by focusing on human production factors, such as considering human performance fluctuations during the day, when production planning with respect to job-shop scheduling. In this article, the flexible job-shop scheduling problem is extended by considering product-related error costs and logistic costs. Product-related error costs are increased by over stressing the operative workers. Logistic costs are based on work in process and throughput time. This cost-based definition enables a production plan to be simultaneously optimized in respect of both error and logistic costs. The product-related error costs and flexible job-shop scheduling problem are described mathematically and a memetic algorithm is also presented as an approach. Within the memetic algorithm, the evolutionary process is supplemented with a local search procedure to improve the ability of solutions and repair procedures to rectify infeasible solutions. The influence of product-related  error costs on the total costs of a produc-tion plan, throughput and job waiting times within job-shop scheduling is presented.",
  issn = 	"1860-5923",
  doi = 	"10.2195/lj_NotRev_prinzhorn_en_201710_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-46119"
}

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RIS

TY  - JOUR
AU  - Prinzhorn, Henrik
AU  - Böning, Christian
AU  - Stonis, Malte
PY  - 2017
DA  - 2017//
TI  - Flexible job-shop scheduling considering human performance fluctuations
JO  - Logistics Journal : nicht referierte Veröffentlichungen
VL  - 2017
IS  - 10
KW  - flexible job-shop scheduling
KW  - memetic algorithm
KW  - human performance fluctuation
KW  - error costs
AB  - In production, product-related error costs can be reduced by focusing on human production factors, such as considering human performance fluctuations during the day, when production planning with respect to job-shop scheduling. In this article, the flexible job-shop scheduling problem is extended by considering product-related error costs and logistic costs. Product-related error costs are increased by over stressing the operative workers. Logistic costs are based on work in process and throughput time. This cost-based definition enables a production plan to be simultaneously optimized in respect of both error and logistic costs. The product-related error costs and flexible job-shop scheduling problem are described mathematically and a memetic algorithm is also presented as an approach. Within the memetic algorithm, the evolutionary process is supplemented with a local search procedure to improve the ability of solutions and repair procedures to rectify infeasible solutions. The influence of product-related  error costs on the total costs of a produc-tion plan, throughput and job waiting times within job-shop scheduling is presented.
SN  - 1860-5923
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-46119
DO  - 10.2195/lj_NotRev_prinzhorn_en_201710_01
ID  - prinzhorn2017
ER  - 
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Wordbib

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<b:Comments>In production, product-related error costs can be reduced by focusing on human production factors, such as considering human performance fluctuations during the day, when production planning with respect to job-shop scheduling. In this article, the flexible job-shop scheduling problem is extended by considering product-related error costs and logistic costs. Product-related error costs are increased by over stressing the operative workers. Logistic costs are based on work in process and throughput time. This cost-based definition enables a production plan to be simultaneously optimized in respect of both error and logistic costs. The product-related error costs and flexible job-shop scheduling problem are described mathematically and a memetic algorithm is also presented as an approach. Within the memetic algorithm, the evolutionary process is supplemented with a local search procedure to improve the ability of solutions and repair procedures to rectify infeasible solutions. The influence of product-related  error costs on the total costs of a produc-tion plan, throughput and job waiting times within job-shop scheduling is presented.</b:Comments>
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ISI

PT Journal
AU Prinzhorn, H
   Böning, C
   Stonis, M
TI Flexible job-shop scheduling considering human performance fluctuations
SO Logistics Journal : nicht referierte Veröffentlichungen
PY 2017
VL 2017
IS 10
DI 10.2195/lj_NotRev_prinzhorn_en_201710_01
DE flexible job-shop scheduling; memetic algorithm; human performance fluctuation; error costs
AB In production, product-related error costs can be reduced by focusing on human production factors, such as considering human performance fluctuations during the day, when production planning with respect to job-shop scheduling. In this article, the flexible job-shop scheduling problem is extended by considering product-related error costs and logistic costs. Product-related error costs are increased by over stressing the operative workers. Logistic costs are based on work in process and throughput time. This cost-based definition enables a production plan to be simultaneously optimized in respect of both error and logistic costs. The product-related error costs and flexible job-shop scheduling problem are described mathematically and a memetic algorithm is also presented as an approach. Within the memetic algorithm, the evolutionary process is supplemented with a local search procedure to improve the ability of solutions and repair procedures to rectify infeasible solutions. The influence of product-related  error costs on the total costs of a produc-tion plan, throughput and job waiting times within job-shop scheduling is presented.
ER

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Mods

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  <titleInfo>
    <title>Flexible job-shop scheduling considering human performance fluctuations</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Prinzhorn</namePart>
    <namePart type="given">Henrik</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Böning</namePart>
    <namePart type="given">Christian</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Stonis</namePart>
    <namePart type="given">Malte</namePart>
  </name>
  <abstract>In production, product-related error costs can be reduced by focusing on human production factors, such as considering human performance fluctuations during the day, when production planning with respect to job-shop scheduling. In this article, the flexible job-shop scheduling problem is extended by considering product-related error costs and logistic costs. Product-related error costs are increased by over stressing the operative workers. Logistic costs are based on work in process and throughput time. This cost-based definition enables a production plan to be simultaneously optimized in respect of both error and logistic costs. The product-related error costs and flexible job-shop scheduling problem are described mathematically and a memetic algorithm is also presented as an approach. Within the memetic algorithm, the evolutionary process is supplemented with a local search procedure to improve the ability of solutions and repair procedures to rectify infeasible solutions. The influence of product-related  error costs on the total costs of a produc-tion plan, throughput and job waiting times within job-shop scheduling is presented.</abstract>
  <subject>
    <topic>flexible job-shop scheduling</topic>
    <topic>memetic algorithm</topic>
    <topic>human performance fluctuation</topic>
    <topic>error costs</topic>
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  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-46119</identifier>
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