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The objective of this study is to find a sequence of jobs for the permutation flow shop to minimize makespan. A feed forward back propagation neural network is used to solve the 10 machine problem taken from the literature. The network is trained with the optimal sequences for five, six and seven jobs problem. This trained network is then used to solve the problem with greater number of jobs. The...
The scheduling of the mixed model assembly line is an important problem in JIT production. The multistage scheduling model of a autovehicle mixed model assembly line is established. The goal of the model is to maintain the consumption of the parts of components at various working procedures in the production line uniform as much as possible. And the goal is solved by Lingo optimization software. The...
This paper considers an open shop scheduling problem that minimizes bi-objectives, namely makespan and weighted tardiness. This problem, due to its complexity, is ranked in a class of NP-hard problems. In this case, traditional approaches cannot reach to an optimal solution in a reasonable time. Thus, we propose an efficient meta-heuristic method by hybridizing a multi-objective simulated annealing...
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