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Resource-constrained balancing of assembly lines to optimize their productivity and robustness in a reconfigurable environment
1 : LS2N
IMT Atlantique, Nantes
2 : LS2N
IMT Atlantique, Nantes
3 : LS2N
Nantes
4 : LS2N
IMT Atlantique, Nantes
5 : LCFC
Metz
Balancing reconfigurable assembly lines with a fixed number of workstations in presence of uncertain tasks and limited resources is considered. Productivity and robustness are studied as two obejctives to be maximized for this problem. A new bi-objective based scalability measure is introduced for evaluating line balances. This latter is supported on the so-called tree of non-dominated configurations. An appropriate simulated annealing algorithm is proposed for efficiently handling this problem.
