An efficiency frontier approach for the design of cellular manufacturing systems in a lumpy demand environment
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- Mingyuan Chen, 1998. "A mathematical programming model for system reconfiguration in a dynamic cellular manufacturing environment," Annals of Operations Research, Springer, vol. 77(0), pages 109-128, January.
- Gravel, Marc & Luntala Nsakanda, Aaron & Price, Wilson, 1998. "Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm," European Journal of Operational Research, Elsevier, vol. 109(2), pages 286-298, September.
- William T. McCormick & Paul J. Schweitzer & Thomas W. White, 1972. "Problem Decomposition and Data Reorganization by a Clustering Technique," Operations Research, INFORMS, vol. 20(5), pages 993-1009, October.
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Cited by:
- Weckenborg, Christian & Schumacher, Patrick & Thies, Christian & Spengler, Thomas S., 2024. "Flexibility in manufacturing system design: A review of recent approaches from Operations Research," European Journal of Operational Research, Elsevier, vol. 315(2), pages 413-441.
- Bukchin, Joseph & Masin, Michael, 2004. "Multi-objective design of team oriented assembly systems," European Journal of Operational Research, Elsevier, vol. 156(2), pages 326-352, July.
- Nsakanda, Aaron Luntala & Price, Wilson L. & Diaby, Moustapha & Gravel, Marc, 2007. "Ensuring population diversity in genetic algorithms: A technical note with application to the cell formation problem," European Journal of Operational Research, Elsevier, vol. 178(2), pages 634-638, April.
- Chakravorty, Satya S. & Hales, Douglas N., 2008. "The evolution of manufacturing cells: An action research study," European Journal of Operational Research, Elsevier, vol. 188(1), pages 153-168, July.
- Jože Martin Rožanec & Blaž Fortuna & Dunja Mladenić, 2022. "Reframing Demand Forecasting: A Two-Fold Approach for Lumpy and Intermittent Demand," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
- Rogers, David F. & Kulkarni, Shailesh S., 2005. "Optimal bivariate clustering and a genetic algorithm with an application in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 160(2), pages 423-444, January.
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