Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems

Because of time and cost constraints, item picking plays a major role in warehouse operations. Considering diversified orders and a constant warehouse design, deciding how to combine each batch and picker route effectively is a challenge in warehouse management. In this study, we focus on the evalua...

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Main Authors: Gen-Han Wu, Chen-Yang Cheng, Ming-Hong Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/21/10921
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author Gen-Han Wu
Chen-Yang Cheng
Ming-Hong Liu
author_facet Gen-Han Wu
Chen-Yang Cheng
Ming-Hong Liu
author_sort Gen-Han Wu
collection DOAJ
description Because of time and cost constraints, item picking plays a major role in warehouse operations. Considering diversified orders and a constant warehouse design, deciding how to combine each batch and picker route effectively is a challenge in warehouse management. In this study, we focus on the evaluation of order-batching strategies for a single picker facing multiple orders with the objective of minimizing the total traveling distance. We propose two-stage simulated annealing and variable neighborhood search algorithms to solve the combined problem. The orders are first merged into batches, followed by determining the sequence in each batch. The computational analysis revealed that the best-fit-decreasing (BFD) batch ordering strategy in the two-stage algorithms, the variable neighborhood search algorithm, obtained superior solutions to those of the simulated annealing algorithm.
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spelling doaj.art-0d0bba61858c49c3a44d35f700f1cae42023-11-24T03:35:04ZengMDPI AGApplied Sciences2076-34172022-10-0112211092110.3390/app122110921Two-Stage Metaheuristic Algorithms for Order-Batching and Routing ProblemsGen-Han Wu0Chen-Yang Cheng1Ming-Hong Liu2Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 32003, TaiwanDepartment of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, TaiwanGraduate Institute of Logistics Management, Dong Hwa University, Hualien 974301, TaiwanBecause of time and cost constraints, item picking plays a major role in warehouse operations. Considering diversified orders and a constant warehouse design, deciding how to combine each batch and picker route effectively is a challenge in warehouse management. In this study, we focus on the evaluation of order-batching strategies for a single picker facing multiple orders with the objective of minimizing the total traveling distance. We propose two-stage simulated annealing and variable neighborhood search algorithms to solve the combined problem. The orders are first merged into batches, followed by determining the sequence in each batch. The computational analysis revealed that the best-fit-decreasing (BFD) batch ordering strategy in the two-stage algorithms, the variable neighborhood search algorithm, obtained superior solutions to those of the simulated annealing algorithm.https://www.mdpi.com/2076-3417/12/21/10921order batchingorder pickingwarehousesimulated annealingvariable neighborhood search
spellingShingle Gen-Han Wu
Chen-Yang Cheng
Ming-Hong Liu
Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems
Applied Sciences
order batching
order picking
warehouse
simulated annealing
variable neighborhood search
title Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems
title_full Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems
title_fullStr Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems
title_full_unstemmed Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems
title_short Two-Stage Metaheuristic Algorithms for Order-Batching and Routing Problems
title_sort two stage metaheuristic algorithms for order batching and routing problems
topic order batching
order picking
warehouse
simulated annealing
variable neighborhood search
url https://www.mdpi.com/2076-3417/12/21/10921
work_keys_str_mv AT genhanwu twostagemetaheuristicalgorithmsfororderbatchingandroutingproblems
AT chenyangcheng twostagemetaheuristicalgorithmsfororderbatchingandroutingproblems
AT minghongliu twostagemetaheuristicalgorithmsfororderbatchingandroutingproblems