Journal of Supply Chain Management Systems

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Supply Chain Contract Selection Using Delphi- Based AHP: A Case Study in the Bangladeshi Super Shop


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1 Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
     

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Selection of the best supply chain contract plays a significant role as a strategic feature and factor of better coordination of all stages in a supply chain. As a variety of uncontrollable and unpredictable factors affect the evaluation and decision-making process at different levels, identification of the most appropriate contract is usually very complex and unstructured. In this paper, Delphi-based analytic hierarchy process (AHP) approach has been proposed to tackle the problem. The sole purpose of the paper is to analyse the existing contracts of the organisation and recommend the best one. Necessary data of powdered milk item were collected from a renowned super shop in Bangladesh, namely, Swapno superstore, Dhaka. In order to demonstrate the applicability of the proposed approach, an illustrative example is presented; the result is analysed at the end of this paper. This work can be a guide for Bangladeshi planners as well as other researchers to identify the most suitable agreement for their supply chain.

Keywords

AHP, Delphi, Multi-Criteria Decision-Making, Supply Chain Contract.
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  • Aguezzoul, A., & Pires, S. (2016). 3PL performance evaluation and selection: A MCDM method. Supply Chain Forum: An International Journal, 17(2), 87-94. Taylor & Francis.

  • Al-Odeh, M. (2016). Supply chain information systems technologies and management strategies in northern minnesota. Journal of Supply Chain Management Systems, 5(2), 22-37.

  • An, R. (2016). Supply chain analytics and competitive advantage: An empirical study of the Indian automobile industry. Journal of Supply Chain Management Systems, 5(4), 45-55.

  • Azadfallah, M. (2017). Multi criteria supplier selection using PROMETHEE outranking procedures. Journal of Supply Chain Management Systems, 6(1), 24-32.

  • Bansal, M., Karimi, I. A., & Srinivasan, R. (2007). Optimal contract selection for the global supply and distribution of raw materials. Industrial & Engineering Chemistry Research, 46, 642-660.

  • Becker-Peth, M., & Thonemann, U. W. (2016). Reference points in revenue sharing contracts. How to design optimal supply chain contracts. European Journal of Operational Research, 249(3), 1033-1049.

  • Calfa, B. A., & Grossmann, I. E. (2015). Optimal procurement contract selection with price optimization under uncertainty for process networks. Computers & Chemical Engineering, 82, 330-343.

  • Chandak, A., Chandak, S., & Dalpati, A. (2018). A study of impact of supply chain strategy on supply chain performance: An empirical investigation on automobile industry in India. Journal of Supply Chain Management, 7(3), 01-07.

  • Feng, Y., Martel, A., D’Amours, S., Beauregard, R., (2013). Coordinated contract decisions in a maketoorder manufacturing supply chain: A stochastic programming approach. Production and Operations Management, 22, 642-660.

  • Forkmann, S., Henneberg, S. C., Naude, P., & Mitrega, M. (2016). Supplier relationship management capability: A qualification and extension. Industrial Marketing Management, 57, 185-200.

  • Govindan, K., Kaliyan, M., Kannan, D., & Haq, A. N. (2014). Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. International Journal of Production Economics, 147, 555-568.

  • Jin, Y., Wang, S., & Hu, Q. (2015). Contract type and decision right of sales promotion in supply chain management with a capital constrained retailer. European Journal of Operational Research, 240(2), 415-424.

  • Joseph, B. M., & James, N. (2018). A hybrid AHP and taguchi loss function method for supplier selection. Journal of Supply Chain Management Systems, 7(4), 20-30.

  • Kailash, Saha, R. K., & Goyal, S. (2019). Factors analysis of ISCM benchmarking using DEMATEL technique. Journal of Supply Chain Management Systems, 8(1), 1-14.

  • Karmaker, C. L. (2016). A decision support system for warehouse location selection: A case study. Journal of Supply Chain Management Systems, 5(4), 27-37.

  • Khalilpour, R., & Karimi, I. A. (2011). Selection of Liquefied Natural Gas (LNG) contracts forminimizing procurement cost. Industrial & Engineering Chemistry Research, 50, 10298-10312.

  • Khalilpour, R., & Karimi, I. A. (2012). Contract selection under uncertainty: LNG buyers’ perspective. Computer Aided Chemical Engineering, 31, 1487-1491.

  • Li, J. C., Zhou, Y. W., & Huang, W. (2017). Production and procurement strategies for seasonal product supply chain under yield uncertainty with commitmentoption contracts. International Journal of Production Economics, 183, 208-222.

  • Li, Y. L., Ying, C. S., Chin, K. S., Yang, H. T., & Xu, J. (2018). Third-party reverse logistics provider selection approach based on hybrid-information MCDM and cumulative prospect theory. Journal of Cleaner Production, 195, 573-584.

  • Liu, Z., Zhao, R., Liu, X., & Chen, L. (2017). Contract designing for a supply chain with uncertain information based on confidence level. Applied Soft Computing, 56, 617-631.

  • Lootsma, F. A. (1999). Multi-criteria decision analysis via ratio and difference judgment. Kluwer Academic Publishers.

  • Matsuo, H. (2015). Implications of the Tohoku earthquake for Toyota ׳s coordination mechanism: Supply chain disruption of automotive semiconductors. International Journal of Production Economics, 161, 217-227.

  • O’Brien, J. (2018). Supplier relationship management: Unlocking the hidden value in your supply base. Kogan Page Publishers.

  • Park, M., Park, S., Mele, F. D., & Grossmann, I. E. (2006). Modeling of purchase and sales contracts in supply chain optimization. Industrial & Engineering Chemistry Research, 45, 5013-5026.

  • Prakash, C., & Barua, M. K. (2016). A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronics industry. Sustainable Production and Consumption, 7, 66-78.

  • Raut, R., Kharat, M., Kamble, S., & Kumar, C. S. (2018).Sustainable evaluation and selection of potential thirdparty logistics (3PL) providers: An integrated MCDM approach. Benchmarking: An International Journal, 25(1), 76-97.

  • Rodríguez, M. A., & Vecchietti, A. (2012). Mid-term planning optimization model with sales contracts under demand uncertainty. Computers & Chemical Engineering, 47, 227-236.

  • Rodríguez, M. A., & Vecchietti, A. (2009). Logical and generalized disjunctive programming for supplier and contract selection under provision uncertainty. Industrial & Engineering Chemistry Research, 48, 5506-5521.

  • Saaty, T. L. (1994). Homogeneity and clustering in AHP ensures the validity of the scale. European Journal of Operational Research, 72(3), 598-601.

  • Tsay, A. A., Nahmias, S., & Agrawal, N. (1999). Modeling supply chain contracts: A review. In Tayur, S., Ganeshan, & R., Magazine, M. (Eds.), Quantitative Models for Supply Chain Management. Springer US. International Series in Operations Research & Management Science, 17, 299-336.

  • Wang, C. X. (2002). A general framework of supply chain contract models. Supply Chain Management: An International Journal, 7(5), 302-310.


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  • Supply Chain Contract Selection Using Delphi- Based AHP: A Case Study in the Bangladeshi Super Shop

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Authors

S. M. Ahmed
Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh
C. L. Karmaker
Department of Industrial and Production Engineering, Jashore University of Science and Technology, Jashore, Bangladesh

Abstract


Selection of the best supply chain contract plays a significant role as a strategic feature and factor of better coordination of all stages in a supply chain. As a variety of uncontrollable and unpredictable factors affect the evaluation and decision-making process at different levels, identification of the most appropriate contract is usually very complex and unstructured. In this paper, Delphi-based analytic hierarchy process (AHP) approach has been proposed to tackle the problem. The sole purpose of the paper is to analyse the existing contracts of the organisation and recommend the best one. Necessary data of powdered milk item were collected from a renowned super shop in Bangladesh, namely, Swapno superstore, Dhaka. In order to demonstrate the applicability of the proposed approach, an illustrative example is presented; the result is analysed at the end of this paper. This work can be a guide for Bangladeshi planners as well as other researchers to identify the most suitable agreement for their supply chain.

Keywords


AHP, Delphi, Multi-Criteria Decision-Making, Supply Chain Contract.

References