Data-Driven Replenishment Method Choice in a Picking System - Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems Access content directly
Conference Papers Year : 2020

Data-Driven Replenishment Method Choice in a Picking System

Simon Hummelshøj Sloth
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Magnus Abildsten Bøgh
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Christian Møller Nielsen
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Inkyung Sung
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Designing the operating policies of picking systems, which connect inventory and production/assembly lines in a manufacturing system, involves determining replenishment methods for individual items. These replenishment methods affect the overall labor cost and flexibility of the picking system by determining the frequency and quantity of item picking. To design the replenishment method, in this paper, we propose a data-driven decision support framework that provides guidance in comprehending features in a picking system based on demand, size, and value of individual items. The proposed framework is then applied to a real-world case for validation.
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Dates and versions

hal-03630875 , version 1 (05-04-2022)





Simon Hummelshøj Sloth, Magnus Abildsten Bøgh, Christian Møller Nielsen, Konstantinos Panagiotis Konstantinidis, Inkyung Sung. Data-Driven Replenishment Method Choice in a Picking System. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2020, Novi Sad, Serbia. pp.427-432, ⟨10.1007/978-3-030-57993-7_48⟩. ⟨hal-03630875⟩
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