A new approach towards integrated cell formation and inventory lot sizing in an unreliable cellular manufacturing system

DOI10.1016/J.APM.2010.10.011zbMath1217.90020OpenAlexW2001806092MaRDI QIDQ552418

K. Rafiee, Masoud Rabbani, Hamed Rafiei, Alireza Rahimi-Vahed

Publication date: 21 July 2011

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.10.011

zbMATH Keywords

particle swarm optimizationmachine breakdowndynamic system reconfigurationinventory lot sizingprocess deteriorationunreliable cellular manufacturing system

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30) Inventory, storage, reservoirs (90B05)

Related Items (4)

Solving a group layout design model of a dynamic cellular manufacturing system with alternative process routings, lot splitting and flexible reconfiguration by simulated annealing ⋮ A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines ⋮ A new multi-objective mathematical model for dynamic cell formation under demand and cost uncertainty considering social criteria ⋮ A SIMULATED ANNEALING FOR INTRA-CELL LAYOUT DESIGN OF DYNAMIC CELLULAR MANUFACTURING SYSTEMS WITH ROUTE SELECTION, PURCHASING MACHINES AND CELL RECONFIGURATION

Cites Work

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• A robust cellular manufacturing system design for dynamic part population using a genetic algorithm
• Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction
• Production Lot Sizing with Machine Breakdowns
• Coping with the Loss of Pooling Synergy in Cellular Manufacturing Systems
• A neural network-based cell formation algorithm in cellular manufacturing
• Machine cell formation using a mathematical model and a genetic-algorithm-based heuristic

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