Skip to main content
Log in

Modeling Flexible Supplier Selection Framework

  • Original Article
  • Published:
Global Journal of Flexible Systems Management Aims and scope Submit manuscript

Abstract

Due to highly competitive market environment, the supply chain network of business organization are not only efficient but also flexible. The flexible supply chain of business organization is greatly influenced by the suppliers. Hence, the selection of suppliers has to be flexible which not only take into account the quantitative factors but also take into account qualitative factors. In this paper, a novel attempt is conceptualized to model a flexible supplier selection (FSS) problem by integrating the qualitative and quantitative models for supplier selection problem. A MINLP, a quantitative model, is considered in the proposed FSS framework where factors such as lead time, quality, supplier’s capacity and transportation cost are considered. Similarly, in qualitative model factors such as loyalty, technology adaptability, CSR and environmental factors are considered. AHP and IRP, qualitative models, have been applied and compared for supplier’s ranking. An integrated ranking of AHP and IRP is used for modeling FSS problem. Finally, Integration of quantitative and qualitative model provides the set of deviation which measure the level of flexibility from pure solution of supplier selection problem by quantitative and qualitative model. The methodology of FSS problem is presented and demonstrated through an illustrative example of multi-product, multi-source and multi-period case.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Akarte, M. M., Surendra, N. V., Ravi, B., & Rangaraj, N. (2001). Web based casting supplier evaluation using analytical hierarchy process. Journal of the Operational Research Society, 52, 511–522.

    Article  Google Scholar 

  • Amin, S. H., Razmi, J., & Zhang, G. (2011). Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming. Expert Systems with Applications, 38, 334–342.

    Article  Google Scholar 

  • Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566–579.

    Article  Google Scholar 

  • Bhutta, K. S., & Huq, F. (2002). Supplier selection problem: a comparison of the total cost of ownership and analytic hierarchy process approaches. Supply Chain Management: An International Journal, 7(3), 126–135.

    Article  Google Scholar 

  • Boer, L. D., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7, 75–89.

    Article  Google Scholar 

  • Bruno, G., Esposito, E., Genovese, A., & Passaro, R. (2012). AHP-based approaches for supplier evaluation: Problems and perspectives. Journal of Purchasing and Supply Management, 18, 159–172.

    Article  Google Scholar 

  • Chan, F. T. S., & Chan, H. K. (2004). Development of the supplier selection mode—a case study in the advanced technology industry. Proceedings of the Institution of Mechanical Engineers, 218, 1807–1824.

    Article  Google Scholar 

  • Chan, F. T. S., & Niraj, K. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35, 417–431.

    Article  Google Scholar 

  • Che, Z. H. (2010). A genetic algorithm-based model for solving multi-period supplier selection problem with assembly sequence. International Journal of Production Research, 48(15), 4355–4377.

    Article  Google Scholar 

  • Chia-Wei, H., & Allen, H. H. (2009). Applying hazardous substance management to supplier selection using analytic network process. Journal of Cleaner Production, 17, 255–264.

    Article  Google Scholar 

  • Demirtas, E. A., & Ustun, O. (2008). An integrated multi-objective decision making process for supplier selection and order allocation. Omega, 36, 76–90.

    Article  Google Scholar 

  • Demirtas, E. A., & Ustun, O. (2009). Analytical network process and multi-period goal programming interaction in purchasing decisions. Computers & Industrial Engineering, 56, 677–690.

    Article  Google Scholar 

  • Dempsey, (1978). Vendor selection and the buying process. Industrial Marketing Management, 7, 257–267.

    Article  Google Scholar 

  • Ding, H., Benyoucef, L., & Xie, X. (2005). A simulation optimization methodology for supplier selection problem. International Journal of Computer Integrated Manufacturing, 18(2–3), 210–224.

    Article  Google Scholar 

  • Gencer, C., & Gurpinar, D. (2007). Analytical network process in supplier selection: A case study in an electronic firm. Applied Mathematical Modelling, 31, 2475–2486.

    Article  Google Scholar 

  • Ghodsypour, S. H., & O’Brien, C. (2001). The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. International Journal of Production Economics, 73, 15–27.

    Article  Google Scholar 

  • Ghodsypour, S. H., & O’Brine, C. (1998). A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming. International Journal Production Economics, 56–57, 199–212.

    Article  Google Scholar 

  • Guneri, A. F., Yucel, A., & Ayyildiz, G. (2009). An integrated fuzzy-LP approach for supplier selection problem in supply chain management. Expert Systems with Applications, 36, 9223–9228.

    Article  Google Scholar 

  • Haleem, A., Sushil, Qadri. M. A., & Kumar, Sanjay. (2012). Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process. Production Planning & Control, 23(10–11), 722–734.

    Article  Google Scholar 

  • Kumar, Sanjay., Parashar, N., & Haleem, A. (2009). Analytical hierarchy process applied to vendor selection problem: Small scale, medium scale and large scale industries. Business Intelligence Journal, 2(2), 355–362.

    Google Scholar 

  • Mithat, Z., Cuneyt, C., & Cemal, C. (2011). A combined methodology for supplier selection and performance evaluation. Expert Systems with Applications, 8, 2741–2751.

    Google Scholar 

  • Nydik, R. L., & Hill, R. P. (1992). Using the analytic hierarchy process to structure the supplier selection procedure. International Journal of Purchasing and Materials Management, 28(2), 31–36.

    Google Scholar 

  • Ozgen, D., Onut, S., Gulsun, B., Tuzkaya, U. R., & Tuzkya, G. (2006). A two-phased possibilistic linear programming methodology for multi-objective supplier evaluation and order allocation problems. Information Sciences, 178, 485–500.

    Article  Google Scholar 

  • Razmi, J., & Rafiei, H. (2010). An integrated analytical network process with mixed-interger non-linear programming to supplier selection and order allocation. International Journal of Advanced Manufacturing Technology, 49, 1195–1208.

    Article  Google Scholar 

  • Saaty, T. L. (1980). The analytical hierarchy process: planning, priority setting, resource allocation. New York: Mcgraw-Hill.

    Google Scholar 

  • Saaty, T. L. (1990). How to make decision: the analytical decision process. European Journal of Operation Research, 48, 9–26.

    Article  Google Scholar 

  • Sanayei, A., Mousavi, S. F., Abdi, M. R., & Mohaghar, A. (2008). An integrated group decision-making process for supplier selection and order allocation using multi-attribute utility theory and linear programming. Journal of the Franklin Institute, 345, 731–747.

    Article  Google Scholar 

  • Shahanaghi, K., & Yazdian, S. A. (2009). Vendor selection using a new fuzzy group TOPSIS approach. Journal of Uncertain Systems, 3(3), 221–231.

    Google Scholar 

  • Shipley, D., Colin, E., & Scott, E. (1991). Meeting source selection criteria: Direct versus distributor channels. Industrial Marketing Management, 20, 297–303.

    Article  Google Scholar 

  • Soukup, W. R. (1987). Supplier selection strategies. Journal of Purchasing and Materials Management, 50(1), 2–18.

    Google Scholar 

  • Sushil, (2000). SAP-LAP models of inquiry. Management Decision, 38(5), 347–353.

  • Sushil, (2001). SAP-LAP framework. Global Journal of Flexible Systems Management, 2(1), 51–55.

  • Sushil, (2005). Interpretive matrix: A tool to aid interpretation of management and social research. Global Journal of Flexible Systems Management, 6(2), 27–30.

    Google Scholar 

  • Sushil, (2009a). SAP-LAP linkages—a generic interpretive framework for analyzing managerial contexts. Global Journal of Flexible Systems Management, 10(2), 11–20.

    Google Scholar 

  • Sushil, (2009b). Interpretive ranking process. Global Journal of Flexible Systems Management, 10(4), 1–10.

  • Thomas, J. K., & Srinivas, T. (2008). A supply risk reduction model using integrated multi-criteria decision making. IEEE Transactions on Engineering Management, 55(3), 409–419.

    Article  Google Scholar 

  • Wadhwa, V., & Ravindran, A. R. (2007). Vendor selection in outsourcing. Computers & Operations Research, 34, 3725–3737.

    Article  Google Scholar 

  • Wang, J. W., Cheng, C. H., & Chen, H. K. (2009). Fuzzy hierarchical TOPSIS for supplier selection. Applied Soft Computing, 9, 377–386.

    Article  Google Scholar 

  • Ware, N. R., Singh, S. P., & Banwet, D. K. (2012). Supplier selection problem: A state-of-the-art review. Management Science Letters, 2(5), 1465–1490.

    Article  Google Scholar 

  • Ware, N. R., Singh, S. P., & Banwet, D. K. (2014a). A mixed integer non linear program to model dynamic supplier selection. Expert System with Application, 41, 671–678.

    Article  Google Scholar 

  • Ware, N. R., Singh, S. P., & Banwet, D. K. (2014b). Analyzing the effect of demand variation on multi-product, multi-source, multi-period model for supplier selection problem. Industrial Engineering Journal, 7(2), 13–18.

    Google Scholar 

  • Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50, 2–18.

    Article  Google Scholar 

  • Weber, C. A., & John, R. C. (1993). A multi-objective approach to vendor selection. European Journal of Operational Research, 68, 173–184.

    Article  Google Scholar 

  • Yeh, W. C., & Chuang, M. C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38, 4244–4253.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nilesh R. Ware.

Appendix

Appendix

See the Appendix Tables 10, 11, 12, 13, 14, 15, 16, 17, 18 and 19

Table 10 Comparative judgment matrix of criteria w.r.t overall objective
Table 11 Comparative judgment matrix of alternatives w.r.t criteria current technology awareness (C1)
Table 12 Comparative judgment matrix of alternatives w.r.t criteria corporate social responsibility (C2)
Table 13 Comparative judgment matrix of alternatives w.r.t criteria environmental management system (C3)
Table 14 Comparative judgment matrix of alternatives w.r.t criteria flexibility and responsiveness (C4)
Table 15 Comparative judgment matrix of alternatives w.r.t criteria loyalty and attitude (C5)
Table 16 Comparative judgment matrix of alternatives w.r.t criteria regulatory measures (Govt. & Legal Regulations) (C6)
Table 17 Comparative judgment matrix of alternatives w.r.t criteria financial status (C7)
Table 18 Comparative judgment matrix of alternatives w.r.t criteria firm market image (C8)
Table 19 Interpretive logic matrix for IRP

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ware, N.R., Singh, S.P. & Banwet, D.K. Modeling Flexible Supplier Selection Framework. Glob J Flex Syst Manag 15, 261–274 (2014). https://doi.org/10.1007/s40171-014-0070-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40171-014-0070-0

Keywords

Navigation