Ensuring supply chain quality performance through applying the SCOR model

International Journal of Production Research

Volumn 49, Issue 1, 2011, Pages 33-57

  Li, Ling ^a   Su, Qin ^b,c   Chen, Xu ^d  

^a OLD DOMINION UNIVERSITY   (United States)

^b XI'AN JIAOTONG UNIVERSITY   (China)

^c XI'AN JIAOTONG UNIVERSITY   (China)

^d UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

ISO 9000 certification; performance; quality assurance; SCOR model; supply chain

Indexed keywords

BUSINESS PERFORMANCE; ISO 9000 SERIES; ISO-9000; PERFORMANCE; PERFORMANCE METRICS; QUALITY PERFORMANCE; QUALITY STANDARD; SCOR MODELS; SUPPLY CHAIN OPERATIONS REFERENCE MODELS; SUPPLY CHAIN PERFORMANCE; SUPPLY CHAIN PROCESS; SURVEY DATA;

FACINGS; INDUSTRY; QUALITY ASSURANCE; QUALITY CONTROL; SUPPLY CHAIN MANAGEMENT;

SUPPLY CHAINS;

EID: 78649478541     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207543.2010.508934     Document Type: Article

References (52)

1. Benton, W. C. and Maloni, M., 2005. The influence of power driven buyer/seller relationships on supply chain satisfaction. Journal of Operations Management, 23(1), 1-22.
2. Bowersox, D. J., Closs, D. J., and Stank, T. P., 1999. 21st century logistics: making supply chain integration a reality. Chicago, IL: Council of Logistics Management.
3. Burgess, K. and Singh, P. J., 2006. A proposed integrated framework for analysing supply chains. Supply Chain Management: An International Journal, 11(4), 337-344.
4. Cavalieri, S., Gaiardelli, P., and Ierace, S., 2007. Aligning strategic profiles with operational metrics in after-sales service. International Journal of Productivity and Performance Management, 56 (5-6), 436-455.
5. Chae, B. K., 2009. Developing key performance indicators for supply chain: an industry perspective. Supply Chain Management: An International Journal, 14(6), 422-428.
6. Chan, F. T. S., and Qi, H. J., 2003. An innovative performance method for supply chain management. Supply Chain Management: An international Journal, 8(3), 209-223.
7. Cooper, M. C., Lambert, D. M., and Pagh, J. D., 1997. Supply chain management: more than a new name for logistics. The International Journal of Logistics Management, 8(1), 1-14.
8. Deming, E. W., 1981. Improvement of quality and productivity through action by management. National Productivity Review, 1(1), 12-22.
9. Ellram, L. M., Tate, W. L., and Billington, C., 2004. Understanding and managing the services supply chain. Journal of Supply Chain Management, 40(4), 17-33.
10. Feigenbaum, A. V., 1983. Total quality control: engineering and management. New York: McGraw-Hill.
11. Foster Jr, S. T., 2008. Towards an understanding of supply chain quality management. Journal of Operations Management, 26(4), 461-467.
12. Garvin, D. A., 1988. Managing quality: the strategic and competitive edge. New York: The Free Press.
13. Gulledge, T. and Chavusholu, T., 2008. Automating the construction of supply chain key performance indicators. Industrial Management & Data Systems, 108(6), 750-774.
14. Hair, J. F., et al., 2006. Multivariate data analysis. 6th ed. Upper Saddle River, NJ: Prentice-Hall.
15. Harland, C. M., et al., 2001. A taxonomy of supply networks. Journal of Supply Chain Management, 37(4), 20-27.
16. Hsu, C. and Wallace, W., 2007. An industrial network flow information integration model for supply chain management and intelligent transportation. Enterprise Information Systems, 1(3), 327-351.
17. Huan, S. H., Sheoran, S. K., and Wang, G., 2004. A review and analysis of Supply Chain Operations Reference (SCOR) model. Supply Chain Management: An International Journal, 9(1), 23-29.
18. Huang, S. H., Sheoran, S. K., and Keskar, H., 2005. Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model. Computers & Industrial Engineering, 48(2), 377-394.
19. Hwang, Y.-D., Lin, Y.-C., and Lyu Jr, J., 2008. The performance evaluation of SCOR sourcing process - the case study of Taiwan's TFT-LCD industry. International Journal of Production Economics, 115(2), 411-423.
20. Issa, H., et al., 2009. QoS-aware middleware for web services composition: a qualitative approach. Enterprise Information Systems, 3(4), 449-470.
21. Kirchmer, M., 2004. E-business process networks - successful value chains through standards. Journal of Enterprise Information Management, 17(1), 20-30.
22. Lambert, D. M., Garcia-Dastugue, S. J., and Croxton, K. L., 2005. An evaluation of process-oriented supply chain management framework. Journal of Business Logistics, 26(1), 25-52.
23. Li, L., et al., 2008. TQM - a predecessor of ERP implementation. International Journal of Production Economics, 115(2), 569-580.
24. Liu, C.-H., 2009. The effect of a quality management system on supply chain performance: an empirical study in Taiwan. International Journal of Management, 26(2), 285-295.
25. Lockamy III, A. and McCormack, K., 2004. Linking SCOR planning practices to supply chain performance: an exploratory study. International Journal of Operations & Production Management, 24 (11-12), 1192-1218.
26. Matthews, C. R., 2006. Linking the supply chain to TQM. Quality Progress, 39(11), 29-36.
27. McLaren, T. S. and Vuong, D. C. H., 2008. A 'genomic' classification scheme for supply chain management information systems. Journal of Enterprise Information Management, 21(4), 409-423.
28. Mentzer, J. T., ed., 2001. Supply chain management. Thousand Oaks, CA: Sage Publications.
29. Millet, P., Schmitt, P., and Botta-Genoulaz, V., 2009. The SCOR model for the alignment of business processes and information systems. Enterprise Information Systems, 3(4), 393-407.
30. Naesens, K., Gelders, L., and Pintelon, L., 2007. A swift response tool for measuring the strategic fit for resource pooling: a case study. Management Decision, 45(3), 434-449.
31. Naesens, K., Gelders, L., and Pintelon, L., 2009. A swift response framework for measuring the strategic fit for a horizontal collaborative initiative. International Journal of Production Economics, 121(2), 550-561.
32. Persson, F. and Araldi, M., 2009. The development of a dynamic supply chain analysis tool - integration of SCOR and discrete event simulation. International Journal of Production Economics, 121(2), 574-583.
33. Rabelo, L., et al., 2007. Value chain analysis using hybrid simulation and AHP. International Journal of Production Economics, 105(2), 536-547.
34. Reichardt, E. and Nichols, L. J., 2003. SCOR your ISO certification. Quality, 42(2), 44-47.
35. Roder, A. and Tibken, B., 2006. A methodology for modeling inter-company supply chains and for evaluating a method of integrated product and process documentation. European Journal of Operational Research, 169(3), 1010-1029.
36. Roth, A. V., et al., 2008. Unraveling the food supply chain: strategic insights from China and the 2007 recalls. Journal of Supply Chain Management, 44(1), 22-40.
37. Soffer, P. and Wand, Y., 2005. On the notion of soft-goals in business process modelling. Business Process Management Journal, 11(6), 663-680.
38. Soffer, P. and Wand, Y., 2007. Goal-driven multi-process analysis. Journal of the Association for Information Systems, 8(3), 175-204.
39. Srivastava, R. K., Shervani, T. A. and Fahey, L., 1999. Marketing, business processes, and shareholder value: an organizationally embedded view of marketing activities and the discipline of marketing. Journal of Marketing, 63, 168-180.
40. Staley, S. and Warfield, J., 2007. Enterprise integration of product development data: systems science in action. Enterprise Information Systems, 1(3), 269-285.
41. Stephens, S., 2001. Supply chain operations reference model version 5.0: a new tool to improve supply chain efficiency and achieve best practice. Information Systems Frontiers, 3(4), 471-476.
42. Stewart, G., 1997. Supply-chain operations reference model (SCOR): the first cross-industry framework for integrated supply-chain management. Logistics Information Management, 10(2), 62-67.
43. Supply Chain Council, 2009. Supply Chain Operations Reference model version 9 [online]. Available from: www.supply-chain.org [Accessed 7 October 2009].
44. Theeranuphattana, A. and Tang, J. C. S., 2008. A conceptual model of performance measurement for supply chains; alternative considerations. Journal of Manufacturing Technology Management, 19(1), 125-148.
45. Vickery, S., Calantone, R., and Droge, C., 1999. Supply chain flexibility: an empirical study. Journal of Supply Chain Management, 35(3), 16-24.
46. Wang, G., Huang, S. H., and Dismukes, J. P., 2004. Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics, 91(1), 1-15.
47. Warfield, J., 2007. Systems science serves enterprise integration: a tutorial. Enterprise Information Systems, 1(2), 235-254.
48. Xu, L., 2007. Editorial. Enterprise Information Systems, 1(1), 1-2.
49. Xu, X., 2008. Effects of two national environmental factors on e-commerce functionality adoption: a cross-country case study of a global bank. Enterprise Information Systems, 2(3), 325-339.
50. Xu, S., Xu, L., and Chen, X., 2003. Determining optimum edible films for kiwifruits using an analytical hierarchy process. Computers & Operations Research, 30(6), 877-886.
51. Xu, W., et al., 2008. A new approach to decision-making with key constraint and its application in enterprise information systems. Enterprise Information Systems, 2(3), 287-308.
52. Yilmaz, Y. and Bititci, U., 2006. Performance measurement in the value chain: manufacturing v. tourism. International Journal of Productivity and Performance Management, 55(5), 371-389. (Pubitemid 43955149)