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A generalized design and performance analysis model for end-of-aisle order-picking systems
Authors:Yavuz A. Bozer   John A. White
Affiliation: a Department of Industrial and Operations Engineering, The University of Michigan, Ann Arbor, MI, USAb School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Abstract:In this paper we present an analytical design algorithm to determine the near-minimum number of pickers required in an end-of-aisle order-picking operation based on a miniload automated storage/retrieval system. The algorithm is based on an approximate analytical model we developed to estimate the expected picker utilization (and the storage/retrieval machine utilization) for general system configurations with two or more pick positions per aisle and/or two or more aisles per picker. For systems with two pick positions, we also investigate the possibility of improving the picker utilization by sequencing container retrievals within each order.
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