An exact method for solving the manufacturing cell formation problem

The cell formation problem is extensively studied in the literature, but very few authors have proposed exact methods. In this paper a linear binary programming formulation is introduced to generate a solution for the cell formation problem. To verify the behaviour of the proposed model, a set of 35...

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Veröffentlicht in:International journal of production research 2012-08, Vol.50 (15), p.4038-4045
Hauptverfasser: Elbenani, Bouazza, Ferland, Jacques A.
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description The cell formation problem is extensively studied in the literature, but very few authors have proposed exact methods. In this paper a linear binary programming formulation is introduced to generate a solution for the cell formation problem. To verify the behaviour of the proposed model, a set of 35 benchmark problems is solved using the branch and cut method implemented in the IBM ILOG CPLEX 10.11 Optimiser. Moreover, these results allow us to validate the quality of the solution generated with heuristic methods proposed in the literature. This experimentation indicates that, for the smaller problems, the best-known solutions are the same as those generated with CPLEX 10.11 Optimiser. These results indicate a fair confidence in the optimality of the best-known solutions generated by the heuristic methods. Furthermore, our approach is the first exact method providing results of this quality.
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source EBSCOhost Business Source Complete; Taylor & Francis:Master (3349 titles)
subjects Applied sciences
Benchmarking
Branch & bound algorithms
cell formation problem
Confidence
Exact sciences and technology
Experimentation
grouping efficiency
Heuristic
Heuristic methods
Inventory control, production control. Distribution
linear binary programming formulation
Linear programming
Manufacturing cells
Mathematical models
Mathematical programming
Operational research and scientific management
Operational research. Management science
Optimization
Optimization techniques
Programming
Studies
title An exact method for solving the manufacturing cell formation problem
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