Comparison Of Periodic-Review Inventory Control Policies In A Serial Supply Chain

Alphanumeric Journal

NihanKabadayı¹  TimurKeskintürk² 

[1] Istanbul University, Department of Production, School of Business;Istanbul University, Department of Quantitative Methods, School of Business;

关键词: Genetic Algorithm;    Inventory Management;    Simulation-based Genetic Algorithm;    Supply Chain Management;   

DOI  :  http://dx.doi.org/10.17093/aj.2015.3.2.5000148311

来源: DOAJ

【 摘 要 】

Supply chain management provides customers with the right product or service at a reasonable price, in the right place, at the right time, and with the best quality possible, thus increasing customer satisfaction. The inventory is held at the multiple sites in a supply chain. Effective and efficient management of inventory in the supply chain process has a significant impact on improving the ultimate customer service provided to the customer. Reducing inventory cost, which is a major part of total supply chain costs, will help provide products or services at a better price. This study aims to compare (R, S) and (R, S, Qmin) inventory control policies in a serial supply chain. We develop a simulation based genetic algorithm (GA) in order to find the optimal numerical S value that minimizes the total supply chain cost (TSCC) and compare our results between two methods.

【 授权许可】

Unknown