Study on supply chain information systems performance evaluation based on fuzzy AHP

Author(s):  
Li Yin ◽  
Bing Zhu
2013 ◽  
Vol 477-478 ◽  
pp. 1517-1520
Author(s):  
Guo Xin Yu ◽  
Ji Chen Fang ◽  
Ya Mei Zhou ◽  
Qiang Zhang

A multi-level model automotive service performance evaluation model was established based on the servicer-core automotive service network model was proposed. The model was divided into three interrelated levels: the business level, the process level, the learning and development level, respectively used to evaluate business conditions, operating process and development potential of the object. A fuzzy AHP evaluation model for automotive supply chain collaboration performance evaluation was established. A case study was used to show the feasibility of this evaluation model. The results show that, supply chain collaboration performance result of the object was slightly lower than the regional average. Services of the object had unbalanced development and some indicators had great room for improvement.


Author(s):  
Ertugrul Ayyildiz ◽  
Alev Taskin Gumus

Abstract Supply chain operations reference (SCOR) is a combined benchmarking, business process reengineering, and best practices, and it also references a model that is intended to be an industry standard. SCOR model is one of the best models to describe supply chain activities in operations management for research and practice alike. There are radical changes in the structure of supply chains as well as developing technology in today’s information age. The purpose of this paper is to extend the SCOR model with new metrics related to Industry 4.0 and digitalization to understand and evaluate the performance of supply chains. New metrics added to the SCOR model and a novel SCOR 4.0 model is proposed. The novel performance evaluation model is structured as a three-level hierarchical structure to evaluate the supply chain. This problem is handled as a multi-criteria decision-making problem. This study uses the hybrid Best worst method and Pythagorean fuzzy AHP method to determine the weights of metrics. SCOR model is adapted to performance evaluation of the supply chain in the globalizing world. The most important metrics on the supply chain performances are determined and classified. Level 1 metrics are evaluated by Best worst method and their inner levels are evaluated by the Pythagorean fuzzy AHP method and the importance weights of each level 2 and level 3 metrics are obtained. A real application for the oil supply chain is presented to show the applicability of the proposed model. It is aimed to show the SCOR 4.0 model can be used by both public and private sectors to improve their supply chain strategies in globalizing world.


2014 ◽  
Vol 635-637 ◽  
pp. 1771-1775 ◽  
Author(s):  
Hui Min Jia ◽  
Kai Chao Yu ◽  
Jin Chang Zhang

Leagile supply chain integrates lean supply chain and agile supply chain. In this paper, the theory of lean production and agile manufacturing are compared and analyzed, and then the leagile supply chain model and the performance evaluation system based on DEA are established. Based on the above, this paper provides an example of the evaluation system to verify the operability and effectiveness, which can provide the reference for enterprises to improve operating mode of the supply chain or develop a new leagile supply chain.


Sign in / Sign up

Export Citation Format

Share Document