The impact of the national standardization system on ranking the supply chain stages improvement

Shafia, M.; Abdollahzadeh, S.; Teimoury, E.

Growing Science » Uncertain Supply Chain Management » The impact of the national standardization system on ranking the supply chain stages improvement

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 2 Issue 4 pp. 237-244 , 2014

The impact of the national standardization system on ranking the supply chain stages improvement Pages 237-244 Download PDF

Authors: Mohammad Ali Shafia, Sohrab Abdollahzadeh, Ebrahim Teimoury

Keywords: Fuzzy AHP, National Standardization System, Performance Measurement, Supply Chain Management

Abstract: The objective of this study is to measure the performance improvement of supply chain (SC) stages through implementing the national standardization system (NSS) in an innovative way. There are many studies on the positive effects of standardization system on supply chain performance (SCP), but very few studies have measured and prioritized the impact of this system on SCP. This paper introduces a new approach to the performance improvement of each stage of SC through implementing the NSS. First, we use fuzzy analytical hierarchical process method to measure the relative importance of each stage and determine the characteristics of SC. Then, the amount of SC stages improvement after implementing the NSS is determined. Finally, using a combination of results, the stages of SC are ranked according to the effectiveness of NSS implementation. In order to validate the proposed approach, the case analysis of Iran NSS is carried out on broiler SC. The stages of SC are ranked according to the performance improvement through implementing standardization system, subsequently. This approach can be generalized to other standardization systems and SCs.

How to cite this paper

 Shafia, M., Abdollahzadeh, S & Teimoury, E. (2014). The impact of the national standardization system on ranking the supply chain stages improvement.Uncertain Supply Chain Management, 2(4), 237-244.

Refrences

Angerhofer, B. J., & Angelides, M. C. (2000). System dynamics modelling in supply chain management: research review. In Simulation Conference, 2000. Proceedings. Winter (Vol. 1, pp. 342-351). IEEE.

Bhakoo, V., & Chan, C. (2011). Collaborative implementation of e-business processes within the health-care supply chain: the Monash Pharmacy Project.Supply Chain Management: An International Journal, 16(3), 184-193.

Bolstorff, P. (2007). Supply chain excellence: a handbook for dramatic improvement using the SCOR model. AMACOM Div American Mgmt Assn.

Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2002). Supply chain logistics management (Vol. 2). New York: McGraw-Hill.

Chamodrakas, I., Batis, D., & Martakos, D. (2010). Supplier selection in electronic marketplaces using satisficing and fuzzy AHP. Expert Systems with Applications, 37(1), 490-498.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP.European journal of operational research, 95(3), 649-655.

Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation (pp. 265-275). Gabler.

Choi, T. M., Chow, P. S., & Liu, S. C. (2013). Implementation of fashion ERP systems in China: Case study of a fashion brand, review and future challenges.International Journal of Production Economics, 146(1), 70-81.

Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). Supply chain management: more than a new name for logistics. International Journal of Logistics Management, The, 8(1), 1-14.

Flynn, B. B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: a contingency and configuration approach. Journal of Operations Management, 28(1), 58-71.

Gunasekaran, A., Patel, C., & Tirtiroglu, E. (2001). Performance measures and metrics in a supply chain environment. International journal of operations & production Management, 21(1/2), 71-87.

Jalalvand, F., Teimoury, E., Makui, A., Aryanezhad, M. B., & Jolai, F. (2011). A method to compare supply chains of an industry. Supply Chain Management: An International Journal, 16(2), 82-97.

Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard: translating strategy into action. Harvard Business Press.

Mohr, M., & Russel, S. A. (2002, September). North American product classification system: Concepts and process of identifying service products. In Proceedings of the 17th Annual Meeting of the Voorburg Group on Service Statistics.

Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: a literature review and research agenda. International journal of operations & production management, 15(4), 80-116.

Parre?o-Marchante, A., Alvarez-Melcon, A., Trebar, M., & Filippin, P. (2014). Advanced traceability system in aquaculture supply chain. Journal of Food Engineering, 122, 99-109.

Russell, R. S., & Taylor-Iii, B. W. (2008). Operations management along the supply chain. John Wiley & Sons.

Sallis, E. (2002). Total quality management in education. Psychology Press.

Shepherd, C., & Günter, H. (2006). Measuring supply chain performance: current research and future directions. International Journal of Productivity and Performance Management, 55(3/4), 242-258.

Vlachos, I. P. (2014). A hierarchical model of the impact of RFID practices on retail supply chain performance. Expert Systems with Applications, 41(1), 5-15.