Supply Chain Performance Evaluation: Trends and Challenges
American J. of Engineering and Applied Sciences 2 (1): 202-211, 2009 ISSN 1941-7020 © 2009 Science Publications
Supply Chain Performance Evaluation: Trends and Challenges
Ezutah Udoncy Olugu and 2Kuan Yew Wong Department of Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, University Technology Malaysia, 81310 UTM Skudai, Malaysia
Abstract: Problem statement: In today’s manufacturing world, globalization policies and rejuvenation have created a more intensive competition amongst manufacturers. On the other hand, manufacturers have turned to the option of adopting innovative technologies, process re-engineering and strategies such as efficient supply chain management to achieve a sustainable competitive advantage. Effective supply chain performance measurement has been identified as a key issue towards efficient supply chain management. To explore the extent of research in supply chain performance measurement and establish the gap in knowledge in supply chain performance measurement using fuzzy logic operation. Approach: Literatures in the area of supply chain performance measurement had been extensively reviewed. Both traditional and fuzzy logic approaches to supply chain performance measurement were scrutinized. Further scrutiny was carried out to establish potential research areas in the application of fuzzy logic operations in supply chain performance measurement. Results: The supply chain performance measurement using fuzzy logic operation was identified as a new direction in measuring the uncertainty and ambiguity surrounding supply chain performance measurement. Direction for further studies in the application of fuzzy logic operation in supply chain management and its performance measurement were also identified. Conclusion: Result of this study implied that there is still a gap in knowledge in the area of supply chain performance measurement. This new direction of studies involved extending the existing supply chains to
Supply Chain Performance Evaluation: Trends and Challenges
Ezutah Udoncy Olugu and 2Kuan Yew Wong Department of Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, University Technology Malaysia, 81310 UTM Skudai, Malaysia
Abstract: Problem statement: In today’s manufacturing world, globalization policies and rejuvenation have created a more intensive competition amongst manufacturers. On the other hand, manufacturers have turned to the option of adopting innovative technologies, process re-engineering and strategies such as efficient supply chain management to achieve a sustainable competitive advantage. Effective supply chain performance measurement has been identified as a key issue towards efficient supply chain management. To explore the extent of research in supply chain performance measurement and establish the gap in knowledge in supply chain performance measurement using fuzzy logic operation. Approach: Literatures in the area of supply chain performance measurement had been extensively reviewed. Both traditional and fuzzy logic approaches to supply chain performance measurement were scrutinized. Further scrutiny was carried out to establish potential research areas in the application of fuzzy logic operations in supply chain performance measurement. Results: The supply chain performance measurement using fuzzy logic operation was identified as a new direction in measuring the uncertainty and ambiguity surrounding supply chain performance measurement. Direction for further studies in the application of fuzzy logic operation in supply chain management and its performance measurement were also identified. Conclusion: Result of this study implied that there is still a gap in knowledge in the area of supply chain performance measurement. This new direction of studies involved extending the existing supply chains to
References: 16. Gunasekaran, A., C. Patel and R.E. McCaughey, 2004. A framework for supply chain performance measurement. Int. J. Prod. Econ., 87: 333-347. DOI: 10.1016/j.ijpe.2003.08.003 Am