Minimizing Makespan for a Flexible Flow Shop Scheduling Problem in a Paint Company
نویسندگان
چکیده
This paper focuses on a Flexible Flow Shop (FFS) problem in a paint company in an attempt to minimize production makespan. The FFS problem is characterized by multiple products being produced in machines in stages with sequence dependent set up times and infinite intermediate storages. As the FFS problem is computationally complex, two heuristic methods are employed to solve the Mixed Integer Linear Programming (MILP) problem formulated. The first heuristic is based on the Theory of Constraints and the second heuristic is based on a Genetic Algorithm. The Genetic Algorithm approach has resulted in a better production makespan.
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