Citation

Lee, T. S. and Loong, Y. T. and Moslemipour, G. (2017) Gravitational search algorithm optimization for bi-objective flow shop scheduling using weighted dispatching rules. In: 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 24-26 Nov. 2017, Penang.

Text 65.pdf - Published Version Restricted to Repository staff only Download (313kB)

Abstract

A framework based on weighted dispatching rules is proposed in this study in order to obtain optimum job-machine allocation for a bi-objective flow shop system. In the proposed method, bi-objective based dispatching rules are integrated into a single weightage function. Unlike traditional dispatching rules (DRs) which only provide a fixed schedule for a particular job, this method iteratively improves the schedules by finding the optimum weightages for every stage. However, such weightage function is rather complex and attaining an optimum solution is a rather arduous task. Hence, Gravitational Search Algorithm (GSA) optimization is applied to overcome this issue. The proposed method is indeed an improvement over the conventional dispatching rule method and it can be easily implemented in the semiconductor industry, in which flexible flow shop system is the standard practice. A number of random generated cases are used in this study to demonstrate the performance of the framework by introducing a series of weightages in the selected dispatching rules.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Dispatching
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL500-777 Aeronautics. Aeronautical engineering
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	26 Apr 2021 12:51
Last Modified:	26 Apr 2021 12:51
URII:	http://shdl.mmu.edu.my/id/eprint/7647

Downloads

Edit (login required)