Supply chain redesign involves decisions regarding the timing, amount andlocation attributes of the investment and disinvestment in facilities, production,purchase of raw materials, sale of products, loans and bonds for raising capital,signing of contracts for material purchase and sales, such that the profit ismaximized. In this work, we use genetic algorithm to obtain the supply chainredesign plan while maximizing the profit. Genetic algorithms (GA) are bestsuited for unconstrained problems and we present a novel formulation of thesupply chain redesign problem in an unconstrained fashion. To demonstrate thisnew and unconstrained formulation, we solve the problem which we previouslypresented (Naraharisetti et al., 2006), where we developed a novel MILP modelfor supply chain redesign and solved it using Cplex.
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