A fexible evaluative framework for order picking systems
Autor: | Jo van Nunen, Yeming Gong, René de Koster, Chien-Ming Chen |
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Přispěvatelé: | Department of Technology and Operations Management, Department of Management of Technology and Innovation, emlyon business school, business school, emlyon |
Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: |
0209 industrial biotechnology
Order picking 021103 operations research Operations research Computer science Supply chain 0211 other engineering and technologies Process design 02 engineering and technology Management Science and Operations Research [SHS.ECO]Humanities and Social Sciences/Economics and Finance Industrial and Manufacturing Engineering 020901 industrial engineering & automation Ranking Management of Technology and Innovation Service level Data envelopment analysis Selection (linguistics) Portfolio [SHS.GESTION]Humanities and Social Sciences/Business administration Operations management [SHS.ECO] Humanities and Social Sciences/Economics and Finance [SHS.GESTION] Humanities and Social Sciences/Business administration ComputingMilieux_MISCELLANEOUS |
Zdroj: | Production and Operations Management, 19(1), 70-82. Wiley-Blackwell Production and Operations Management Production and Operations Management, 2010, pp.70-82 P |
ISSN: | 1937-5956 1059-1478 |
Popis: | This paper develops a novel framework to evaluate the integral performance of order picking systems with different combinations of storage and order picking policies. The warehousing literature on order picking mostly considers minimizing either elapsed time or distance as the sole objective, whereas warehouse managers in a supply chain have to look beyond single-dimensional performance and consider trade-offs among different criteria. Thus managers still need a unified and efficient framework to select a portfolio of appropriate order picking policies from a multi-criteria and contextual perspective. Our framework-combining data envelopment analysis, ranking and selection, and multiple comparisons-provides an efficient methodology to simultaneously analyze several interrelated problems in order picking systems with multiple performance attributes, such as service levels and operational costs. We demonstrate our approach through comprehensive evaluations of order picking policies in three low-level, picker-to-parts rectangular warehouses facing demand variations. [ABSTRACT FROM AUTHOR] |
Databáze: | OpenAIRE |
Externí odkaz: | |
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