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centroid-defuzzification
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Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm
, Article Information Sciences ; Vol. 272 , July , 2014 , pp. 126-144 ; ISSN: 00200255 ; Sadeghi, S ; Niaki, S. T. A ; Sharif University of Technology
Abstract
Vendor-managed inventory (VMI) is a popular policy in supply chain management (SCM) to decrease bullwhip effect. Since the transportation cost plays an important role in VMI and because the demands are often fuzzy, this paper develops a VMI model in a multi-retailer single-vendor SCM under the consignment stock policy. The aim is to find optimal retailers' order quantities so that the total inventory and transportation cost are minimized while several constraints are satisfied. Because of the NP-hardness of the problem, an algorithm based on particle swarm optimization (PSO) is proposed to find a near optimum solution, where the centroid defuzzification method is employed for...
A Lagrangian relaxation for a fuzzy random EPQ Problem with Shortages and Redundancy Allocation: Two Tuned Meta-heuristics
, Article International Journal of Fuzzy Systems ; Volume 20, Issue 2 , 2018 , Pages 515-533 ; 15622479 (ISSN) ; Niaki, S. T. A ; Malekian, M. R ; Wang, Y ; Sharif University of Technology
Springer Berlin Heidelberg
2018
Abstract
This paper develops an economic production quantity model for a multi-product multi-objective inventory control problem with fuzzy-stochastic demand and backorders. In this model, the annual demand is represented by trapezoidal fuzzy random numbers. The centroid defuzzification and the expected value methods are applied to defuzzify and make decisions in a random environment. In the case where the warehouse space is limited, the Lagrangian relaxation procedure is first employed to determine the optimal order and the maximum backorder quantities of the products such that the total inventory cost is minimized. The optimal solution obtained by the proposed approach is compared with that...