Selecting Continuous Review Inventory Policy (s, Q) by Data Envelopment Analysis Models

• Main Authors: Tung-Lin Hsieh, 謝東霖
• Other Authors: Fun-Hwa F. Liu
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/10952295214691286525

碩士 === 國立交通大學 === 工業工程與管理系所 === 97 === We consider a company controlled by continuous review (s, Q) inventory model. The company experiences Poisson demand. The lead time of orders follow Poisson distributions. We assume unsatisfied orders are backordered in the company. Headstream lost sales is neglected. The purpose of this research is to develop a procedure to select the continuous review (s, Q) inventory model. Given the levels of s and Q, the combinations of them are the alternatives for selection. Then for each alternative, we used simulation to collect the values of the five indices: times of ordering, stock level, times of shortage, the product of backorder and lead time, ordering quantity. These five values reveal the property of the alternative in managerial tasks. The aim of this research is to assess those alternatives with the five indices. A data envelopment analysis (DEA) model is developed. The model is a CCR output-based measure with some side constraints for the virtual weights restrictions of the indices.