On solving the order processing in picking workstations

The Order Processing in Picking Workstations is a real problem derived from the industry in the context of supply chain management. It looks for an efficient way to process orders arriving to a warehouse by minimizing the number of movements of goods, stored in containers in the warehouse, from thei...

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Bibliographic Details
Published inOptimization letters Vol. 16; no. 1; pp. 5 - 35
Main Authors Ouzidan, Abdessamad, Sevaux, Marc, Olteanu, Alexandru-Liviu, Pardo, Eduardo G., Duarte, Abraham
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2022
Springer Verlag
Subjects
Computational Intelligence
Computer Science
Mathematics
Mathematics and Statistics
Numerical and Computational Physics
Operations Research
Operations Research/Decision Theory
Optimization
Original Paper
Simulation
Integer linear programming
Order picking
Parts to picker
Variable Neighborhood Search
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Summary:The Order Processing in Picking Workstations is a real problem derived from the industry in the context of supply chain management. It looks for an efficient way to process orders arriving to a warehouse by minimizing the number of movements of goods, stored in containers in the warehouse, from their storage location to the processing zone. In this paper, we tackle this real optimization problem by providing a new Integer Linear Programming (ILP) formulation for the problem. Due to the NP -Hardness of the problem we have also designed several heuristic procedures, to find high-quality solutions in a reasonable amount of time, which is mandatory for handling real instances. Particularly, the heuristics proposed were combined into a General Variable Neighborhood Search algorithm. Finally, we have performed an extensive experimentation indicating an increased performance of our proposals (ILP and heuristic) over previous approaches in the state of the art, using both synthetic and real datasets of instances.
ISSN:1862-4472
1862-4480
DOI:10.1007/s11590-020-01640-w