An Optimization Model for Online Store Product Photo Allocation and Inventory Control

• Main Authors: Chien-Hua Yeh, 葉千華
• Other Authors: 陳彥匡
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/6v8fds

碩士 === 國立臺中科技大學 === 流通管理系碩士班 === 101 === Purpose－In the online store environment for attracting more customers, the website design or inventory supply and demand problem for the enterprise are a critical management decisions. Therefore, this study proposes handle both website design and inventory control of decision support model. Design/methodology/approach－This study takes account space elasticities and price cross elasticities of shelf space allocation theory to develop optimization model for three inventory strategies: (1) Allowed shortage; (2) Not allowed shortage and (3) Part of allowed shortage. We use genetic algorithms to solve the problem, and then to find the parameters that influence the objective value and the optimal solutions. Findings－This study result shows that the optimal allocation of product photo are different for different inventory strategies. Also, the objective value and optimal solutions are influenced by space elasticities, ordering cost, holding cost and shortage cost. Originality/value－This study proposes an innovative optimization model to solve the issue of online store product photo allocation and inventory control.