Title: Genetic algorithms for task assignments in logistic warehouses

Authors: Zhaodong Wu; Min Wang

Addresses: Military Materials Distribution Department, Army Military Transportation University, Tianjin, China ' Military Materials Distribution Department, Army Military Transportation University, Tianjin, China

Abstract: By analysing the relevant elements in the allocation of storage tasks, a multi-objective storage task assignment model was built considering time and resource indicators and an improved genetic algorithm for this model is given and analysed through a case study. To assist warehouse managers in task scheduling, a desktop application for the storage task assignment was written in Java. The results showed that the improved genetic algorithm could accelerate the convergence speed and this model makes corresponding adjustments while the actual situation of the storage task changes. Compared with the task assignment scheme made through experience, the model not only reduces the time required but also the resources used.

Keywords: assignment problem; logistics; warehouse task allocation; multi-objective model; genetic algorithm; NP problem.

DOI: 10.1504/IJMOM.2019.103036

International Journal of Modelling in Operations Management, 2019 Vol.7 No.3, pp.196 - 210

Received: 26 Jan 2019
Accepted: 17 Apr 2019
Published online: 14 Oct 2019 *

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