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This document summarizes a research paper that formulates a flexible flow shop scheduling problem in a paint company as a mixed integer linear programming problem to minimize production makespan. The flexible flow shop problem involves producing 9 paint products across 5 stages with parallel machines and sequence-dependent setup times. Two heuristic approaches are used to solve the MILP problem - one based on the Theory of Constraints and the other using a genetic algorithm. The genetic algorithm approach a

Author

Pawel Karo

Language

EN