Highlights AS/RSs are industrial equipment used to automate activities related to warehousing. The AS/RS dimensions optimization for minimum cycle time problem is addressed. The faced time/precision dilemma (during AS/RSs design optimization) is highlighted. Mathematical properties are identified by studying cycle time models. A fast exact resolution method is set up using the demonstrated dominance properties. The loss in precision of the commonly used fast approximate methods is shown.
Abstract Optimizing the design of storage systems is of crucial importance for operational excellence. The aim of this paper is to explore the optimization of the design for automated storage systems. In this latter, we are interested in three different systems. First, we highlight the different methods used to deal with this problem and point out their limits. Thereafter, we present the different corresponding cycle times models. Then, we identify and demonstrate several mathematical properties, which we use as dominance properties to implement an efficient resolution algorithm. Our algorithm greatly surpasses the existing optimization methods used for the design optimization problems. The proposed approach allows us to obtain the optimal solution ten times faster than the commonly used methods, as illustrated by a comparative numerical study.
An exact optimization method based on dominance properties for the design of AS/RSs
2020-12-15
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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