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- Title
Design of a class-based order picking system with stochastic demands and priority consideration.
- Authors
Liu, Jingming; Liao, Haitao; White Jr, John A.
- Abstract
An MIAPP-NALT system is an order picking system in which cases are picked at multiple in-the-aisle pick positions (MIAPP) and storage and retrieval operations are performed by a narrow aisle lift truck (NALT). In this paper, the operation of such a system involving three classes of stock keeping units with random demands for storage and retrieval operations is modeled as an M/G/1 queue, where "customers" are storage and retrieval requests, the "server" is the NALT, and retrieval requests have non-preemptive priority over storage requests. Our goal is to explore a methodology and solution method to obtain the optimal layout design of a class-based MIAPP-NALT system with stochastic demands and priority service. To this end, an operation time model of the system is developed and the first two moments for the operation time are derived. To overcome the challenge in finding the desired optimal layout, a near-optimal layout obtained via a heuristic approach is obtained at first and is improved afterwards. Based on the optimal layout, some valuable queueing results demonstrate the benefit of using a priority-based discipline. Moreover, some useful insights regarding the selection of dedicated versus random storage policies are obtained.
- Subjects
ORDER picking systems; AUTOMATED storage retrieval systems; STOCHASTIC systems; FORKLIFT trucks
- Publication
Annals of Operations Research, 2023, Vol 331, Issue 2, p923
- ISSN
0254-5330
- Publication type
Article
- DOI
10.1007/s10479-022-05107-2