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A Hybrid Tabu Search and Genetic Algorithm for a Production Plan Optimization Problem
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Aggregate Production Plan (APP), a managerial statement of time phased production rates, workforce levels and inventory investment, considers the customer's needs and capacity limitations. It should balance various objectives viz. maximizing customer service, minimizing inventory investment, maintenance of stability in workforce, production cost minimization and profit maximization. In this paper, an APP problem Is solved for optimality using a hybrid algorithm, that combines the procedures of two efficient meta heuristics Genetic Algorithms and Tabu Search.
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