We address a manufacturing cell formation problem (CFP) in which one of the constraints limits the maximum cell workload to a given threshold. To meet such a requirement, it is possible to allocate copies of existing machines in different cells. Additional machines, however, increase costs and may also increase inter-cell flow. The proposed CFP is first modelled in terms of bilevel optimization and then reformulated as a single-level optimization problem. To the best of our knowledge, this is the first study addressing the CFP with a cell workload constraint as a bilevel optimization problem. The results of this paper have direct implications for real-world decision-making for at least two reasons. One is related to the methodology used that allows one to model the actual dynamic of the decision-making process more accurately. The second reason is that the proposed model enables better system efficiency when both machine and inter-cell material handling costs are minimized. Experimental results are presented and discussed.
Caramia, M., Mari, R. (2017). A manufacturing cell formation problem with a maximum cell workload constraint. IMA JOURNAL OF MANAGEMENT MATHEMATICS, 28(2), 279-298 [10.1093/imaman/dpv027].
A manufacturing cell formation problem with a maximum cell workload constraint
CARAMIA, MASSIMILIANO;
2017-01-01
Abstract
We address a manufacturing cell formation problem (CFP) in which one of the constraints limits the maximum cell workload to a given threshold. To meet such a requirement, it is possible to allocate copies of existing machines in different cells. Additional machines, however, increase costs and may also increase inter-cell flow. The proposed CFP is first modelled in terms of bilevel optimization and then reformulated as a single-level optimization problem. To the best of our knowledge, this is the first study addressing the CFP with a cell workload constraint as a bilevel optimization problem. The results of this paper have direct implications for real-world decision-making for at least two reasons. One is related to the methodology used that allows one to model the actual dynamic of the decision-making process more accurately. The second reason is that the proposed model enables better system efficiency when both machine and inter-cell material handling costs are minimized. Experimental results are presented and discussed.File | Dimensione | Formato | |
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