การจัดทำระบบประเมินสมรรถนะผู้ให้บริการโลจิสติกส์ด้านการจัดซื้อและผลิตเครื่องจักร

Abstract

This research aimed to determine and prioritize the levels of importance of factors related to the evaluation on machine procurement and fabrication of logistics service providers. A performance evaluation system of service providers through the use of the Analytical Hierarchy Process (AHP) was then pursued. Moreover, the system was expected to be effectively applied in the selection and the evaluation of the logistics service providers to serve the needs of a business case study. According to the research methodology, the data from related literatures were collected and the factors were determined. Five major factors including price, production capability, delivery, quality and time, together with twenty minor factors were figured out. The interview form was designed through the use of the Analytical Hierarchy Process (AHP) principle and ten experts were later interviewed. The collected data were analyzed using AHP to find out the levels of importance of each factor. Next, the performance evaluation system of service providers was developed to select the optimum supplier considering the calculated total maximum weighted score from the product of the level of importance of each factor and the value score of each case. The research results revealed that the first major factor affecting the evaluation on machine procurement and fabrication of logistics service providers was time (0.482). The other major factors in a row were quality (0.228), production capability (0.136), price (0.062) and delivery (0.032). In addition, the minor factors that were in the top five of the levels of importance consisted of on-time delivery (0.244), product quality (0.178), bid (0.115), production time (0.106), and technology (0.065), respectively. Moreover, the implementation of the developed performance evaluation system of service providers in the business case study enabled the company to select the potential suppliers. This led to the higher level of customer satisfaction, from C level to A level, and the product sales increased by 50%