A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
Computers and Operations Research
Computers and Industrial Engineering - Supply chain management
A very fast Tabu search algorithm for the permutation flow shop problem with makespan criterion
Computers and Operations Research
Process Planning and Scheduling for Distributed Manufacturing (Springer Series in Advanced Manufacturing)
Computers and Operations Research
Modeling realistic hybrid flexible flowshop scheduling problems
Computers and Operations Research
An improved NEH-based heuristic for the permutation flowshop problem
Computers and Operations Research
A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem
INFORMS Journal on Computing
An adaptive genetic algorithm with dominated genes for distributed scheduling problems
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Minimizing the total completion time in a distributed two stage assembly system with setup times
Computers and Operations Research
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This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPFSP. Under this generalization, we assume that there are a total of F identical factories or shops, each one with m machines disposed in series. A set of n available jobs have to be distributed among the F factories and then a processing sequence has to be derived for the jobs assigned to each factory. The optimization criterion is the minimization of the maximum completion time or makespan among the factories. This production setting is necessary in today's decentralized and globalized economy where several production centers might be available for a firm. We characterize the DPFSP and propose six different alternative mixed integer linear programming (MILP) models that are carefully and statistically analyzed for performance. We also propose two simple factory assignment rules together with 14 heuristics based on dispatching rules, effective constructive heuristics and variable neighborhood descent methods. A comprehensive computational and statistical analysis is conducted in order to analyze the performance of the proposed methods.