Retail order picking scheduling with missing operations and limited buffer

Souiden, Sawssen; Cerqueus, Audrey; Delorme, Xavier; Rascle, Jean-Lucien

doi:10.1016/j.ifacol.2020.12.2859

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…The problem of scheduling for OP systems has been widely studied in the literature under a deterministic manner regarding an exact mathematical modeling. For instance, [3] which minimizes the order picker unproductive times while taking into consideration limited buffer capacity and the possibility of skipping some zones and [4] which minimizes the sum of delivery cost and the makespan for multiple zones and limited vehicle capacity. Likewise, many researchers dealt with the scheduling problem in chain system by assuming that the input data are known.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation Model for a Semi-automated Retail Order Picking System Under Uncertainty

Souiden

Cerqueus

Delorme

et al. 2021

IFIP Advances in Information and Communication Technology

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Due to the growth of e-commerce, retail order picking problems are nowadays one of the most challengeable issues in logistics networks. Conventionally, semi-automated picking systems are implemented, using a conveyor for transportation and operators for preparation. Customer demand being volatile, the sustainability of the system relies on digitalization and reconfigurability, regarding both the physical and information system. From an operational standpoint, the performance is driven by scheduling approaches to manage the bins' flow however the system is prone to uncertainty. We develop a decision tool based on a simulation model to accurately reflect the real-life situation and the human-conveyor interaction. Our aim is to evaluate the practical flow of the system with uncertain preparation times compared to a theoretical schedule obtained by a deterministic optimization approach. Numerical experiments including an industrial case study are presented and discussed.

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Section: Literature Reviewmentioning

confidence: 99%