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Approximate solution of a profit maximization constrained virtual business planning problem
Institution:1. Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS-INPT-UPS, Toulouse, France;2. IFP Energies nouvelles, Rond-point de l’échangeur de Solaize, BP 3, Solaize 69360, France
Abstract:A virtual business problem is studied, in which a company-contractor outsources production to specialized subcontractors. Finances of the contractor and resource capacities of subcontractors are limited. The objective is to select subcontractors and distribute a part of the demanded production among them so that the profit of the contractor is maximized. A generalization of the knapsack problem, called Knapsack-of-Knapsacks (K-of-K), is used to model this situation, in which items have to be packed into small knapsacks and small knapsacks have to be packed into a large knapsack. A fully polynomial time approximation scheme is developed to solve the problem K-of-K.
Keywords:Virtual business planning  Knapsack problem  Dynamic programming  Fully polynomial time approximation scheme
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