1,235 research outputs found

    An index for dynamic product promotion and the knapsack problem for perishable items

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    This paper introduces the knapsack problem for perishable items (KPPI), which concerns the optimal dynamic allocation of a limited promotion space to a collection of perishable items. Such a problem is motivated by applications in a variety of industries, where products have an associated lifetime after which they cannot be sold. The paper builds on recent developments on restless bandit indexation and gives an optimal marginal productivity index policy for the dynamic (single) product promotion problem with closed-form indices that yield estructural insights. The performance of the proposed policy for KPPI is investigated in a computational study.Dynamic promotion, Perishable items, Index policies, Knapsack problem, Festless bandits, Finite horizon, Marginal productivity index

    Improved algorithms for machine allocation in manufacturing systems

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    In this paper we present two algorithms for a machine allocation problem occurring in manufacturing systems. For thetwo algorithms presented we prove worst-case performance ratios of 2 and 312, respectively. The machlne allocat~onproblem we consider is a general convex resource allocation problem, which makes the algorithms applicable to a varletyof resource allocation problems. Numerical results are presented for two real-life manufacturing systems.networks;manufacturing;allocation of machines;performance/productivity;queues

    A Weight-coded Evolutionary Algorithm for the Multidimensional Knapsack Problem

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    A revised weight-coded evolutionary algorithm (RWCEA) is proposed for solving multidimensional knapsack problems. This RWCEA uses a new decoding method and incorporates a heuristic method in initialization. Computational results show that the RWCEA performs better than a weight-coded evolutionary algorithm proposed by Raidl (1999) and to some existing benchmarks, it can yield better results than the ones reported in the OR-library.Comment: Submitted to Applied Mathematics and Computation on April 8, 201
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