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Discrete-Time Analysis of Levelled Order Release and Staffing in Order Picking Systems

Mohring, Uta; Baumann, Marion; Furmans, Kai

Abstract (englisch):
Order picking systems are confronted with a volatile demand and short delivery time requirements. Manufacturing companies face the increasing variability requirements with Heijunka-levelling, one method of the Toyota Production System. The objectives of this publication are to develop a levelling concept for order picking systems, to analyse its performance based on a discrete-time analytical model and to develop a staffing algorithm determining the required workforce level in an order picking system with levelled order release. The levelling concept for order picking systems results from the existing models of Heijunka-levelling in the literature, which are adopted and expanded regarding the specific requirements of order picking systems. The order picking system with levelled order release is depicted as a discrete-time Markov chain. To analyse its performance, we derive several performance measures, such as service level, backlog duration and system utilisation, from the steady-state distribution of the Markov chain. The s taffing a lgorithm i s a binary search algorithm based on the Markov chain. The models developed in this publication enable a quantitative evaluation of the impact of several system parameters, such as variability of customer demand, workforce level and traffic intensity, on the performance measures of the order picking system. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000123412
Veröffentlicht am 08.09.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fördertechnik und Logistiksysteme (IFL)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1865-035X, 1865-0368
KITopen-ID: 1000123412
Erschienen in Logistics research
Verlag Springer
Band 13
Heft 9
Seiten 1-20
Schlagwörter discrete-time modelling Markov chain; order picking; levelling; staffing
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