101. Fuzzy modeling approach to the rail freight car inventory problem
- Author
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Miloš Milenković and Nebojsa J. Bojovic
- Subjects
Inventory control ,Engineering ,Operations research ,business.industry ,Total cost ,Geography, Planning and Development ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Transportation ,Signed distance function ,Fuzzy control system ,Fuzzy logic ,Transport engineering ,Fuzzy transportation ,Fuzzy number ,Economic order quantity ,business - Abstract
Techniques to improve freight car fleet use are of considerable interest to the railroad industry. In this paper, we present a fuzzy inventory control approach applied to the sizing of empty cars on a rail network. We address the problem of deciding the optimal inventory level and the optimal ordering quantity for a rail freight car fleet system in which demand and travel time are uncertain variables represented as triangular fuzzy numbers. Based on the fuzzy economic order quantity (EOQ) formula, a modified fuzzy EOQ model is set up and the optimal policy is developed using the signed distance method to defuzzify the fuzzy total cost. Computational results made for the Serbian rail network case verify the proposed model as well as the efficiency of the approach.
- Published
- 2013