A Study of Fuzzy Integrated Inventory Models

• Main Authors: Ming-Feng Yang, 楊明峰
• Other Authors: Chao-Hsien Pan
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/85349019860787051118

博士 === 國立臺灣科技大學 === 工業管理系 === 95 === The successful implementation of JIT production in today’s supply chain environment requires a new spirit of cooperation between the buyer and the vendor. Companies are using JIT purchasing to gain and maintain a competitive advantage. The benefits of JIT purchasing include small lot sizes, frequent deliveries, consistent high quality, decrease in inventory levels, lower setup cost and ordering cost, and close supplier ties. An integrated inventory model with such a consideration is based on the total cost optimization under a common stock policy and business formula. However, the supposition of known annual demand in most related literature may not be realistic. This paper proposes the inclusion of fuzzy annual demand and/or the production rate, and then employs the signed distance, a ranking method for fuzzy numbers, to find the estimate of the common total cost in the fuzzy sense, and subsequently derives the corresponding optimal buyer’s quantity and the integer number of lots in which the items are delivered from the vendor to the purchaser. Numerical examples are provided to illustrate the results of proposed models.