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Examining interaction among supplier selection strategies in an outsourcing environment using ISM and fuzzy logic approach

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  • Rajiv Kumar Sharma

    (National Institute of Technology)

Abstract

Supplier selection in an outsourcing environment is a challenging task as it depends upon various dimensions. To this effect, the study presents a hybrid approach in which in the first phase, various supplier selection dimensions are identified and the structural relationship among them is modelled by applying interpretive structural modelling (ISM) approach. In phase two, the driver-dependence power of various dimensions is analysed using the MICMAC approach. From the results, it is observed that owing to high dependence power dimensions “Cost,” “Quality”, and “Service” dimensions are important from the customer’s point of view for supplier selection. So, in order to help the managers to address the risk associated with these dimensions, qualitative analysis based on fuzzy set theory has been carried out by considering three potential suppliers. The simulation experiments conducted with different combinations of “Cost,” “Quality”, and “Service” dimensions show that the supplier selection process is a tedious task and may vary with the organizational needs. The approach proposed in the study can be adopted by the supply chain professionals to address supplier selection problems.

Suggested Citation

  • Rajiv Kumar Sharma, 2022. "Examining interaction among supplier selection strategies in an outsourcing environment using ISM and fuzzy logic approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2175-2194, October.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:5:d:10.1007_s13198-022-01624-2
    DOI: 10.1007/s13198-022-01624-2
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    1. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    2. Srinivasan, Mahesh & Mukherjee, Debmalya & Gaur, Ajai S., 2011. "Buyer-supplier partnership quality and supply chain performance: Moderating role of risks, and environmental uncertainty," European Management Journal, Elsevier, vol. 29(4), pages 260-271, August.
    3. Ghodsypour, S. H. & O'Brien, C., 1998. "A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming," International Journal of Production Economics, Elsevier, vol. 56(1), pages 199-212, September.
    4. Arpan Kumar Kar & Ashis K. Pani, 2014. "Exploring the importance of different supplier selection criteria," Management Research Review, Emerald Group Publishing Limited, vol. 37(1), pages 89-105, January.
    5. Zeki Ayağ & Funda Samanlioglu, 2016. "An intelligent approach to supplier evaluation in automotive sector," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 889-903, August.
    6. Paranitharan Kannusamy Panneer Selvam & Ramesh Babu Thangavelu, 2019. "The IMBES model for achieving excellence in manufacturing industry: an interpretive structural modeling approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 602-622, August.
    7. Rahul Sindhwani & Vasdev Malhotra, 2017. "Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 253-263, June.
    8. Pfohl, Hans-Christian & Gallus, Philipp & Thomas, David, 2011. "Interpretive structural modeling of supply chain risks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 55230, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Guo, Cong & Li, Xueping, 2014. "A multi-echelon inventory system with supplier selection and order allocation under stochastic demand," International Journal of Production Economics, Elsevier, vol. 151(C), pages 37-47.
    10. D. Laurie Hughes & Nripendra P. Rana & Yogesh K. Dwivedi, 2020. "Elucidation of IS project success factors: an interpretive structural modelling approach," Annals of Operations Research, Springer, vol. 285(1), pages 35-66, February.
    11. A. Azadeh & R. Siadatian & M. Rezaei-Malek & F. Rouhollah, 2017. "Optimization of supplier selection problem by combined customer trust and resilience engineering under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1553-1566, November.
    12. Lennart Söderberg & Lars Bengtsson & Matti Kaulio, 2017. "A model for outsourcing and governing of maintenance within the process industry," Operations Management Research, Springer, vol. 10(1), pages 20-32, June.
    13. Santosh B. Rane & Milind Shrikant Kirkire, 2017. "Interpretive structural modelling of risk sources in medical device development process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 451-464, January.
    14. 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, Elsevier, vol. 73(1), pages 15-27, August.
    15. Adeinat, Hamza & Ventura, José A., 2015. "Determining the retailer's replenishment policy considering multiple capacitated suppliers and price-sensitive demand," European Journal of Operational Research, Elsevier, vol. 247(1), pages 83-92.
    16. Morteza Yazdani & Sarfaraz Hashemkhani Zolfani & Edmundas Kazimieras Zavadskas, 2016. "New integration of MCDM methods and QFD in the selection of green suppliers," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1097-1113, November.
    17. Simon Li & Wei Zeng, 2016. "Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1309-1321, December.
    18. Aida Rezaei & Amir Aghsami & Masoud Rabbani, 2021. "Supplier selection and order allocation model with disruption and environmental risks in centralized supply chain," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1036-1072, December.
    19. Pfohl, Hans-Christian & Köhler, Holger & Thomas, David, 2010. "State of the art in supply chain risk management research. Empirical and conceptual findings and a roadmap for the implementation in practice," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 41981, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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