A simple and better algorithm to solve the vendor managed inventory control system of multi-product multi-constraint economic order quantity model

作者：Eduardo Cardenas Barron Leopoldo; Trevino Garza Gerardo; Wee Hui Ming

来源：Expert Systems with Applications, 2012, 39(3): 3888-3895.

DOI：10.1016/j.eswa.2011.09.057

• Genetic algorithms
• Heuristic algorithms
• EOQ
• Vendor management inventory
• Nonlinear integer programming

This research presents an alternative heuristic algorithm to solve the vendor management inventory system with multi-product and multi-constraint based on EOQ with backorders considering two classical backorders costs: linear and fixed. For this type of inventory system, the optimization problem is a nonlinear integer programming (NLIP). Several numerical examples are given to demonstrate that the proposed heuristic algorithm is better than the previous genetic algorithm published based on three aspects: the total cost, the number of evaluations of the total cost function and computational time. Furthermore, the proposed algorithm is simpler and can be implemented by any people.

• 出版日期2012-2-15