An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment

DOI10.1016/S0377-2217(00)00253-8zbMath0991.90521OpenAlexW2041725682MaRDI QIDQ5945854

Yohanan Arzi, Joseph Bukchin, Michael Masin

Publication date: 25 August 2002

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(00)00253-8

zbMATH Keywords

genetic algorithmcell formation

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Production models (90B30)

Related Items (6)

Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing ⋮ Ensuring population diversity in genetic algorithms: a technical note with application to the cell formation problem ⋮ A robust cellular manufacturing system design for dynamic part population using a genetic algorithm ⋮ Multi-objective design of team oriented assembly systems. ⋮ Tabu search‐based approach to multi‐objective machine‐part cell formation ⋮ The evolution of manufacturing cells: an action research study

Cites Work

• Unnamed Item
• Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm
• A mathematical programming model for system reconfiguration in a dynamic cellular manufacturing environment
• Machine-component cell formation in group technology: a neural network approach
• A genetic algorithm-based approach to cell composition and layout design problems
• Cellular Manufacturing: A Statistical Review of the Literature (1965–1995)
• Problem Decomposition and Data Reorganization by a Clustering Technique

This page was built for publication: An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment