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Supplier Quality Evaluation Using a Fuzzy Multi Criteria Decision Making Approach

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 319))

Abstract

Supplier quality evaluation is a vital decision for buyer organizations. Every year, several organizations suffer not only monetary loss but waste of materials, man power, resources etc. due to poor quality product and services leading to loss of clientele and market reputation. In this paper, we address the problem of supplier quality evaluation and propose a multi-perspective fuzzy multicriteria decision making approach based on fuzzy TOPSIS. Four perspectives namely product quality, process quality, service quality, and organizational quality are considered to identify the supplier quality evaluation criteria. Supplier quality evaluation is performed by a committee of decision making experts who use linguistic assessments to rank the criteria and the suppliers in the lack of quantitative information. These assessments are then combined through fuzzy TOPSIS to generate an overall performance score for each alternative. The alternative with the highest score is finally chosen and recommended for procurement. A practical application is provided. Sensitivity analysis and comparison with another approach called fuzzy SAW is performed for model verification and validation. The novelty of the proposed approach is supplier quality evaluation from multiple perspectives namely product quality, process quality, organizational quality, and service quality and ability to perform supplier quality evaluation under limited or lack of quantitative data.

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References

  • Azar A. T. (2010a). Fuzzy systems. IN-TECH, Vienna, Austria. ISBN 978-953-7619-92-3.1.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Casadesus, M., & Castrao, R. (2005). How improving quality improves supply chain management: Empirical study. The TQM Magazine, 17(4), 345–357.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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).

    Article  MATH  Google Scholar 

  • 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 Management, 19(2), 122–136.

    Article  MathSciNet  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Dogan, I., & Sahin, U. (2003). Supplier selection using activity-based costing and fuzzy present-worth techniques. Logistics Information Management, 16(6), 420–426.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Dursun, M., & Karsak, E. E. (2013). A QFD-based fuzzy MCDM approach for supplier selection. Applied Mathematical Modelling, 37(8), 5864–5875.

    Article  MATH  MathSciNet  Google Scholar 

  • Flynn, B., & Flynn, E. (2005). Synergies between supply chain management and quality management: Emerging implications. International Journal of Production Research, 43(16), 3421–3436.

    Article  Google Scholar 

  • Forker, L. B. (1997). Factors affecting supplier quality performance. Journal of Operations Management, 15(4), 243–269.

    Article  Google Scholar 

  • Foster, S. T. (2007). Managing quality: Integrating the supply chain. NJ: Prentice Hall.

    Google Scholar 

  • Foster, S. T, Jr, & Ogden, J. (2008). On differences in how operations and supply chain managers approach quality management. International Journal of Production Research, 46(24), 6945–6961. (1366–588X).

    Article  Google Scholar 

  • Grieco, J. P. L. (1989). Why supplier certification and will it work? Production and Inventory Management Review and APICS News, 9(5), 38–42.

    Google Scholar 

  • Ho, W., Dey, P. K., & Lockström, M. (2011). Strategic sourcing: A combined QFD and AHP approach in manufacturing. Supply Chain Management: An International Journal, 16(6), 446–461.

    Article  Google Scholar 

  • Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16–24.

    Article  MATH  Google Scholar 

  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Berlin, Heidelberg, New York: Springer.

    Book  MATH  Google Scholar 

  • Klir, G. R., & Yuan, B. (1995). Fuzzy sets and fuzzy logic theory and applications. Upper Saddle River, NJ: Prentice-Hall.

    MATH  Google Scholar 

  • Ku, C. Y., Chang, C. T., & Ho, H. P. (2010). Global supplier selection using fuzzy analytic hierarchy process and fuzzy goal programming. Quality and Quantity, 44, 623–640.

    Article  Google Scholar 

  • Kuei, C. H., Madu, C. N., & Lin, C. (2008). Implementing supply chain quality management. Total Quality Management and Business Excellence, 19(11), 1127–1141.

    Article  Google Scholar 

  • Kumar, S., & Mahapatra, S. S. (2009). A fuzzy multi-criteria decision making approach for supplier selection in supply chain management. African journal of business management, 3, 168–177.

    Google Scholar 

  • Kumar, S., & Mahapatra, S. S. (2011). Supplier selection in supply chain management: A fuzzy multi-criteria decision-making approach. International Journal of Services and Operations Management, 8, 108–126.

    Google Scholar 

  • Lee, M.-S., Lee, Y.-H., & Jeong, C.-S. (2003). A high-quality-supplier selection model for supply chain management and ISO 9001 system. Production Planning & Control, 14(3), 225–232.

    Article  MATH  MathSciNet  Google Scholar 

  • Lee, Y.-C., Yen, T.-M., & Tsai, C.-H. (2008). The Study of an integrated rating system for supplier quality performance in the semiconductor industry. Journal of Applied Science, 8(3), 453–461.

    Article  Google Scholar 

  • Liu, X., Li, Y., & Chen, Y. (2012). Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management. Fuzzy Optimization and Decision Making, 11, 147–176.

    Article  MATH  MathSciNet  Google Scholar 

  • Parasuraman, A., Zeithml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retail, 64, 2–40. (Spring).

    Google Scholar 

  • Pi, W.-N., & Low, C. (2006). Supplier evaluation and selection via Taguchi loss functions and an AHP. International Journal of Advanced Manufacturing Technology, 27, 625–630.

    Article  Google Scholar 

  • Ramanathan, R. (2007). Supplier selection problem: Integrating DEA with the approaches of total cost of ownership and AHP. Supply Chain Management: An International Journal, 12(4), 258–261.

    Article  Google Scholar 

  • Robinson, C. J., & Malhotra, M. K. (2005). Defining the concept of supply chain quality management and its relevance to academic and industrial practice. International Journal of Production Economics, 96, 315–337.

    Article  Google Scholar 

  • Seth, N., Deshmukh, S. G., & Vrat, P. (2006). SSQSC: A tool to measure supplier service quality in supply chain. Production Planning and Control, 17(5), 448–463.

    Article  Google Scholar 

  • Shu, M. H., & Wu, H. C. (2009). Quality-based supplier selection and evaluation using fuzzy data. Computers and Industrial Engineering, 57(3), 1072–1079.

    Article  Google Scholar 

  • Sroufe, R., & Curkovic, S. (2008). An examination of ISO 9000:2000 and supply chain quality assurance. Journal of Operations Management, 26(4), 503–520.

    Article  Google Scholar 

  • Theodorakioglou, Y., Gotzamani, K., & Tsiolvas, G. (2006). Supplier management and its relationship to buyers’ quality management. Supply Chain Management, 11(2), 148–159.

    Article  Google Scholar 

  • Trent, R., Monczka, J., & Robert, M. (1999). Achieving world-class supplier quality. Total Quality Management and Business Excellence, 10(6), 927–938.

    Article  Google Scholar 

  • Vokurka, R., & Lummus, R. (2003). Better supply chains with Baldrige. Quality Progress, 36(4), 51–58.

    Google Scholar 

  • Wang, F. K., Du, T., & Li, E. (2004). Applying six-sigma to supplier development. Total Quality Management and Business Excellence, 15(9), 1217–1229.

    Article  Google Scholar 

  • Watts, C. A., & Hahn, C. K. (1993). Supplier development programs: An empirical analysis. International Journal of Purchasing and Materials Management, 29(2), 10–17.

    Article  Google Scholar 

  • Yang, J. L., Chiu, H. N., Tzeng, G. H., & Yeh, R. H. (2008). Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences, 178(21), 4166–4183.

    Article  MATH  Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy set. Information and Control, 8(3), 338–353.

    Article  MATH  MathSciNet  Google Scholar 

  • Zimmermann, H. J. (2001). Fuzzy set theory and its applications (4th ed.). Boston: Kluwer, Academic Publishers.

    Book  Google Scholar 

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Correspondence to Anjali Awasthi .

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Awasthi, A. (2015). Supplier Quality Evaluation Using a Fuzzy Multi Criteria Decision Making Approach. In: Zhu, Q., Azar, A. (eds) Complex System Modelling and Control Through Intelligent Soft Computations. Studies in Fuzziness and Soft Computing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-12883-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-12883-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12882-5

  • Online ISBN: 978-3-319-12883-2

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