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A multipopulation grasshopper algorithm for multiobjective material distribution scheduling problem of assembly line with flexible line inventory

Binghai Zhou (School of Mechanical Engineering, Tongji University, Shanghai, China)
Mingda Wen (School of Mechanical Engineering, Tongji University, Shanghai, China)

Robotic Intelligence and Automation

ISSN: 2754-6969

Article publication date: 22 August 2024

Issue publication date: 29 August 2024

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Abstract

Purpose

Owing to the finite nature of the boundary of the line (BOL), the conventional method, involving the strong matching of single-variety parts with storage locations at the periphery of the line, proves insufficient for mixed-model assembly lines (MMAL). Consequently, this paper aims to introduce a material distribution scheduling problem considering the shared storage area (MDSPSSA). To address the inherent trade-off requirement of achieving both just-in-time efficiency and energy savings, a mathematical model is developed with the bi-objectives of minimizing line-side inventory and energy consumption.

Design/methodology/approach

A nondominated and multipopulation multiobjective grasshopper optimization algorithm (NM-MOGOA) is proposed to address the medium-to-large-scale problem associated with MDSPSSA. This algorithm combines elements from the grasshopper optimization algorithm and the nondominated sorting genetic algorithm-II. The multipopulation and coevolutionary strategy, chaotic mapping and two further optimization operators are used to enhance the overall solution quality.

Findings

Finally, the algorithm performance is evaluated by comparing NM-MOGOA with multi-objective grey wolf optimizer, multiobjective equilibrium optimizer and multi-objective atomic orbital search. The experimental findings substantiate the efficacy of NM-MOGOA, demonstrating its promise as a robust solution when confronted with the challenges posed by the MDSPSSA in MMALs.

Originality/value

The material distribution system devised in this paper takes into account the establishment of shared material storage areas between adjacent workstations. It permits the undifferentiated storage of various part types in fixed BOL areas. Concurrently, the innovative NM-MOGOA algorithm serves as the core of the system, supporting the formulation of scheduling plans.

Keywords

Citation

Zhou, B. and Wen, M. (2024), "A multipopulation grasshopper algorithm for multiobjective material distribution scheduling problem of assembly line with flexible line inventory", Robotic Intelligence and Automation, Vol. 44 No. 5, pp. 724-745. https://doi.org/10.1108/RIA-11-2023-0164

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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