Minimizing the weighted number of tardy jobs on a two-machine flow shop
Computers and Operations Research
Adaptive temperature control for simulated annealing: a comparative study
Computers and Operations Research
Simulated annealing heuristic for flow shop scheduling problems with unrelated parallel machines
Computers and Operations Research
Computers and Industrial Engineering - Special issue: Group technology/cellular manufacturing
A neural network to enhance local search in the permutation flowshop
Computers and Industrial Engineering
Computers and Operations Research
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers
Computers and Operations Research
Two-machine flowshop scheduling with flexible operations and controllable processing times
Computers and Operations Research
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In this paper, we propose a reformulation for the flowshop problem based on the concept of operation to workstation flexibility. While we assume a fixed sequence of operations in the reformulation, the ''location'' of each operation within the flow is not fixed. The proposed flowshop problem is important because the effective use of this flexibility can lead to significant changes in production performance. Solving the proposed problem involves two sub-problems: assignment of operations to workstations and sequencing of the jobs. We present a lower bound procedure and efficient solution approaches to solve each sub-problem. Furthermore, an improvement method based on neighborhood search and simulated annealing is implemented. A set of experiments is analyzed under different combinations of the proposed heuristics achieving high quality results. These experiments demonstrate that the heuristic factor is of significance for the problem.