UMP Institutional Repository

Modelling of Assembly Sequence Planning Problem using Base Part Concept

Muhamad Arif, Abdullah and M. F. F., Ab. Rashid and Z., Ghazalli and N. M. Z., Nik Mohamed and A. N., Mohd Rose (2018) Modelling of Assembly Sequence Planning Problem using Base Part Concept. In: AIP Conference Proceedings: Proceedings of the 4th International Conference on Green Design and Manufacture 2018, 29-30 April 2018 , Ho Chi Minh, Vietnam. pp. 1-6., 2030 (020013). ISBN 978-0-7354-1752-6

[img]
Preview
Pdf
Modelling of Assembly Sequence Planning1.pdf

Download (153kB) | Preview

Abstract

Assembly sequence planning (ASP) plays an important role in manufacturing because it determines the investment on the assembly facilities. Recently, various research works have been done to optimize the ASP problem using different optimization algorithms. Besides the algorithm efficiency, another factor that directly contributed to the quality of the solution is how the problem is modelled. According to the existing research, the most accurate approach to represent the ASP is to model base on the part of product. However, this approach resulting in the large number of assembly sequence possibility, and finally make the optimization process become harder. This paper proposed a simpler version of part-based representation using the base part concept. In the proposed model, the base part for the product is defined prior to the establishment of the precedence constraint. This approach has contributed to a smaller search space that resulting in better chance to obtain optimum solution during the optimization. The proposed ASP modelling approach however limited the number of possible solution, since the base part was fixed prior to the optimization.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Assembly sequence planning (ASP)
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Dr. Mohd Fadzil Faisae Ab. Rashid
Date Deposited: 05 Dec 2018 03:04
Last Modified: 05 Dec 2018 03:07
URI: http://umpir.ump.edu.my/id/eprint/22902
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item