Flexible flow shop scheduling with interval grey processing time
Grey Systems: Theory and Application
ISSN: 2043-9377
Article publication date: 4 December 2020
Issue publication date: 19 October 2021
Abstract
Purpose
purpose of this paper is providing a solution for flexible flow shop scheduling problem with uncertain processing time in aeronautical composite lay-up workshop.
Design/methodology/approach
A flexible flow scheduling model and algorithm with interval grey processing time is established. First, according to actual needs of composite laminate shop scheduling process, interval grey number is used to represent uncertain processing time, and interval grey processing time measurement method, grey number calculation and comparison rules, grey Gantt chart, and other methods are further applied. Then a flexible flow shop scheduling model with interval grey processing time (G-FFSP) is established, and an artificial bee colony algorithm based on an adaptive neighbourhood search strategy is designed to solve the model. Finally, six examples are generated for simulation scheduling, and the efficiency and performance of the model and algorithm are evaluated by comparing the results.
Findings
Results show that flexible flow shop scheduling model and algorithm with interval grey processing time can provide an optimal solution for composite lay-up shop scheduling problems and other similar flow shop scheduling problems.
Social implications
Uncertain processing time is common in flexible workshop manufacturing, and manual scheduling greatly restricts the production efficiency of workshop. In this paper, combined with grey system theory, an intelligent algorithm is used to solve flexible flow shop scheduling problem to promote intelligent and efficient production of enterprises.
Originality/value
This paper applies and perfects interval grey processing time measurement method, grey number calculation and comparison rules, grey Gantt chart and other methods. A flexible flow shop scheduling model with interval grey processing time is established, and an artificial bee colony algorithm with an adaptive domain search strategy is designed. It provides a comprehensive solution for flexible flow shop scheduling with uncertain processing time.
Keywords
Acknowledgements
This work was supported by National Natural Science Foundation of China under grant 71671090, the Fundamental Research Funds for the Central Universities under grant NP2020022 and Qinglan Project for excellent youth or middle-aged academic leaders in Jiangsu Province (China).
Citation
Wang, Y. and Xie, N. (2021), "Flexible flow shop scheduling with interval grey processing time", Grey Systems: Theory and Application, Vol. 11 No. 4, pp. 779-795. https://doi.org/10.1108/GS-09-2020-0123
Publisher
:Emerald Publishing Limited
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