Constructing a Causal Model of Key Performance Indicators for a Fresh Produce Supplier

• Main Authors: Yi-Chieh, Li, 李怡潔
• Other Authors: 顏憶茹
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/98p843

碩士 === 國立臺中科技大學 === 流通管理系碩士班 === 102 === Accompanying the changes of life style and eating habit, the proportion of citizens eating-out have been increasing and the food and beverage industry has been blooming, which has promoted the demand for food supply service. Because fruits and vegetables have the characteristic of being perishable and fragile, it is very important for a fresh produce supplier to learn how to complete the food supply service effectively, that is, at right time and with right quantity and right quality. In view of the fact that a good performance evaluation system can substantially improve the operational performance for fresh produce suppliers, this study developed key performance indicators and constructed a causal model of KPI for a specific fresh produce supplier. This study made the Business Diagnosis first, and then collected sixty-nine performance indicators with the Balanced Scorecard. Based on the Delphi method, these indicators were further analyzed and screened using the questionnaire through three stages. In the first stage this study used the Gray Statistics to screen more important performance indicators. In the second stage, AHP was used to calculate the relative weights for screening KPI. In the third stage this study used DEMATEL to calculate the degree of relation and causality of KPI, and constructed a causal model accordingly. The results showed that "consistency of fruit and vegetable quality", "product freshness", "the failure ratio of pesticide residues test" and "inventory turnover" were the important KPI for the specific fresh produce supplier. All of these four indicators were the impact indicators. They unidirectional influenced other indicators, and were more important than other indicators. The first two indicators were the most important KPI. As for the last two indicators, their degree of relation did not exceed the threshold value. However, considering the actual situation, this study still classified them as the important indicators for this fresh produce supplier.