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Issue No. 04 - July/August (2005 vol. 20)
ISSN: 1541-1672
pp: 31-35
Wout Dullaert , University of Antwerp
Bert Vernimmen , University of Antwerp
Birger Raa , Ghent University
Frank Witlox , Ghent University
A new approach determines the optimal inbound-resupply strategy when a supplier ships goods to a receiver. The strategy refers to the particular combination of sourcing alternatives that minimizes the receiver's total product costs, comprising the product price and the total logistics costs (that is, order, transportation, and inventory costs). The new approach differs from traditional order-splitting approaches by requiring that order quantities be an integer combination of the different sourcing alternatives' capacities and allowing the demand rate and lead times to be distributed according to any distribution function. An evolutionary metaheuristic uses discrete-event simulation to calculate safety stock levels corresponding to a predetermined service level. This avoids rigid assumptions on the demand- and lead-time-distributions to better determine the reorder point for real-life inbound-resupply strategies.<p>This article is part of a special issue on advanced heuristics in transportation and logistics.</p>
order splitting, evolutionary algorithm, simulation, metaheuristics, total logistics costs

B. Vernimmen, F. Witlox, W. Dullaert and B. Raa, "A Hybrid Approach to Designing Inbound-Resupply Strategies," in IEEE Intelligent Systems, vol. 20, no. , pp. 31-35, 2005.
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