Abstract
The goal of theory of constraints (TOC) is to maximize output, which is achieved by identifying and exploiting the critically constrained resource. However, application of the five steps of TOC to the product mix decision has been observed by several researchers to be implicit or result in infeasible solution when multiple resource constraints in a plant exist. This paper proposes a genetic algorithm-based approach in making the TOC problem explicit, and deals with large problem instances typical of manufacturing firms which have not been dealt with by known literature.
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