Information Technology Reference
In-Depth Information
weights on the decision making process. A case study is conducted and results
validated against fuzzy SAW technique.
The strength of our approach is the ability to perform supplier quality evaluation
under partial or lack of quantitative information and consideration of supplier
quality evaluation from multiple perspectives. Since the decision making process is
sensitive to the number of participants involved and their expertise with the subject,
their selection should be carefully done.
The next step of our work addresses deals with criteria correlation in supplier
quality evaluation and quality management in global supply chains.
References
Azar A. T. (2010a). Fuzzy systems. IN-TECH, Vienna, Austria. ISBN 978-953-7619-92-3.1.
Azar A. T. (2010b). Adaptive neuro-fuzzy systems. In A. T. Azar (Ed.) Fuzzy systems. IN-TECH,
Vienna, Austria, ISBN 978-953-7619-92-3.
Bessant, J., Levy, P., Sang, B., & Lamming, R. (1994). Managing successful total quality
relationships in the supply chain. European Journal of Purchasing and Supply Management, 1
(1), 7
17.
Bhutta, K. S., & Huq, F. (2002). Supplier selection problem: A comparison of the total cost of
ownership and analytical hierarchy process approaches. Supply Chain Management, 7(3),
126
-
135.
Casadesus, M., & Castrao, R. (2005). How improving quality improves supply chain management:
Empirical study. The TQM Magazine, 17(4), 345
-
357.
Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in
supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10),
3872
-
3885.
Chen, K. S., & Chen, K. L. (2006). Supplier selection by testing the process incapability index.
International Journal of Production Research, 44(3), 589
-
600. (1366
-
588X).
Chen, L.-H., & Weng, M.-C. (2002). Using fuzzy approaches to evaluate quality improvement
alternative based on quality costs. International Journal of Quality and Reliability Manage-
ment, 19(2), 122
-
136.
Chen, C.-C., & Yang, C.-C. (2003). Total-costs based evaluation system of supplier quality
performance. Total Quality Management and Business Excellence, 14(3), 325
-
339.
Chin, K. S., Yeung, I., & Pun, K. F. (2006). Development of an assessment system for supplier
quality management. International Journal of Quality and Reliability Management, 23(7),
743
-
765.
Curcovic, S., & Handfield, R. (2006). Use of ISO 9000 and baldrige award criteria in supplier
quality evaluation. The Journal of Supply Chain Management, 32(2), 2
-
11.
de Boer, L., van der Wegen, L., & Telgen, J. (1998). Outranking methods in support of supplier
selection. European Journal of Purchasing and Supply Management, 4, 109
-
118.
Dean, A. M., & Kiu, C. (2002). Performance monitoring and quality outcomes in contracted
services. International Journal of Quality and Reliability Management, 19(4), 396
-
413.
Dogan, I., & Aydin, N. (2011). Combining bayesian networks and total cost of ownership method
for supplier selection analysis. Computers and Industrial Engineering, 61(4), 1072
-
1085.
Dogan, I., & Sahin, U. (2003). Supplier selection using activity-based costing and fuzzy present-
worth techniques. Logistics Information Management, 16(6), 420
-
426.
Dubois, D., Prade, H. (1982). The use of fuzzy numbers in decision analysis. In M. M. Gupta & E.
Sanchez (Eds.), Fuzzy Information and Decision Processes (pp. 309
−
322). North-Holland:
Amsterdam.
-
Search WWH ::
Custom Search