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Job sequencing and layout optimization in virtual production line

Zahari, Taha and Aliq, Zuhdi and Tahriri, Farzad (2011) Job sequencing and layout optimization in virtual production line. Journal of Quality, 18 (4). pp. 351-374. ISSN 1022-0690

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Abstract

Most of the problems involving the design and planning of manufacturing systems are combinatorial and NP-hard. It covers all aspect of creating and operating a manufacturing system before it is implemented. The main activities in creating and operating a manufacturing system are determining the job size, resources needed, equipment layout, routing sequence, and process scheduling. This problem must be solved before it is implemented in real factory. A new trend is using virtual factory approach for testing and validating the proposed design and planning. Designer will have feel at the factory while doing layout planning and design. The contribution of this paper is the integration of two optimization models such as: layout and sequence (job) optimization to those factories who want to produce the various kinds of products with fixed and changeable machine locations as integrated approach for designing a virtual production line. Due to the combinatorial nature of the solution spaces, genetic algorithm is applied for both sequencing and layout. A case study is also reported to demonstrate the feasibility of the proposed approach.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Genetic Algorithm; Multi-Part Multi-Machine Sequencing; Virtual Factory Layout
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 16 Oct 2019 06:58
Last Modified: 16 Oct 2019 06:58
URI: http://umpir.ump.edu.my/id/eprint/26114
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