Assembly Line Balancing using Heuristic Approaches in Manufacturing Industry / Muhammad Razif Abdullah Make...[et al.]

Abdullah Make, Muhammad Razif and Faisae Rashid, Mohd Fadzil and Razali, Muhamad Magffierah and Perumal, Manugari (2017) Assembly Line Balancing using Heuristic Approaches in Manufacturing Industry / Muhammad Razif Abdullah Make...[et al.]. Journal of Mechanical Engineering (JMechE), SI 4 (2). pp. 171-185. ISSN 18235514

Abstract

Assembly Line Balancing (ALB) plays a vital function especially in the production line. The installation of an assembly line is a long-term decision and requires large capital of investments. It is important that such a system is designed and balanced so that it able to work efficiently as possible. Many previous researches have proposed different heuristic approach in optimizing the assembly line. However little attention is given toward simulation analysis as proved of the proposed method. In this paper, a real industrial data of simple ALB problem is optimized and simulated for minimizing the number of workstation. Three proposed heuristics in order to improve the efficiency of the production are reviewed before a discrete simulation approach is used to compare the optimized performance. The anticipated performance of computational result is obtained from the problem comprising the workstation and labour performance output.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Abdullah Make, Muhammad Razif
ffaisae@ump.edu.my
Faisae Rashid, Mohd Fadzil
UNSPECIFIED
Razali, Muhamad Magffierah
UNSPECIFIED
Perumal, Manugari
UNSPECIFIED
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering (JMechE)
UiTM Journal Collections: UiTM Journal > Journal of Mechanical Engineering (JMechE)
ISSN: 18235514
Volume: SI 4
Number: 2
Page Range: pp. 171-185
Keywords: Assembly line balancing, Largest candidate rule, Kilbridge and Wester method, Ranked positional weight, Simulation method
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/39040
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39040

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