Opening book details…
Can I read Genetic Algorithm for Maximizing the Parts Flow Within Cells in Manufacturing Cell Design on EtoBox?
Genetic Algorithm for Maximizing the Parts Flow Within Cells in Manufacturing Cell Design by Chiung Moon; Jaegyun Kim is a Engineering article available to read on EtoBox.
What is Genetic Algorithm for Maximizing the Parts Flow Within Cells in Manufacturing Cell Design about?
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.
Who reads Genetic Algorithm for Maximizing the Parts Flow Within Cells in Manufacturing Cell Design?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Chiung Moon; Jaegyun Kim
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0360-8352)
- Published
- 1999
- Language
- EN
- Field
- Engineering (Physical Sciences)