Genetic algorithm for maximizing the parts flow within cells in manufacturing cell design

✍ Scribed by Chiung Moon; Jaegyun Kim

• Book ID: 104329339
• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 139 KB
• Volume: 36
• Category: Article
• ISSN: 0360-8352
• DOI: 10.1016/s0360-8352(99)00138-2

✦ Synopsis

In this paper, we propose a cell design model with the objective of maximizing the total parts ¯ow within cells considering the data of process plans for parts, production volume, and cell size. A relationship between machines is calculated on the basis of the process plans for parts obtained from process plan sheets. Then the machines are classi®ed into machine cells using the relationship. The model is formulated as a 0±1 integer programming and a genetic algorithm approach is developed to solve the model. The proposed approach is tested and proved using actual industrial data. The approach provide a best solution constantly, also its procedure is extremely ecient and ¯exible for solving large problems for cell design.