A Discrete-Event Simheuristic for Solving a Realistic Storage Location Assignment Problem

Jonas F. Leon, Yuda Li, Mohammad Peyman, Laura Calvet and Angel A. Juan ()
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Jonas F. Leon: Department of Computer Science, Multimedia and Telecommunication, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
Yuda Li: Department of Applied Statistics and Operations Research, Universitat Politècnica de València, 03801 Alcoy, Spain
Mohammad Peyman: Department of Computer Science, Multimedia and Telecommunication, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
Laura Calvet: Department of Telecommunication and Systems Engineering, Autonomous University of Barcelona, 08202 Sabadell, Spain
Angel A. Juan: Department of Applied Statistics and Operations Research, Universitat Politècnica de València, 03801 Alcoy, Spain

Mathematics, 2023, vol. 11, issue 7, 1-24

Abstract: In the context of increasing complexity in manufacturing and logistic systems, the combination of optimization and simulation can be considered a versatile tool for supporting managerial decision-making. An informed storage location assignment policy is key for improving warehouse operations, which play a vital role in the efficiency of supply chains. Traditional approaches in the literature to solve the storage location assignment problem present some limitations, such as excluding the stochastic variability of processes or the interaction among different warehouse activities. This work addresses those limitations by proposing a discrete-event simheuristic framework that ensures robust solutions in the face of real-life warehouse conditions. The approach followed embraces the complexity of the problem by integrating the order sequence and picking route in the solution construction and uses commercial simulation software to reduce the impact of stochastic events on the quality of the solution. The implementation of this type of novel methodology within a warehouse management system can enhance warehouse efficiency without requiring an increase in automation level. The method developed is tested under a number of computational experiments that show its convenience and point toward future lines of research.

Keywords: simheuristics; storage location assignment problem; managerial decision-making; simulation commercial software (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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