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Design of a Green Supply Chain Based on the Kano Model Considering Pricing

Author

Listed:
  • Amir Hossein Sheikh Azadi

    (School of Industrial Engineering, College of Engineering, University of Tehran, Tehran P.O. Box 14179-35840, Iran)

  • Vahid Shamsi Nesary

    (Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran P.O. Box 15875-4416, Iran)

  • Omid Kebriyaii

    (Department of Industrial Engineering, Iran University of Science and Technology, Tehran P.O. Box 16846-13114, Iran)

  • Mohammad Khalilzadeh

    (Industrial Engineering Department, Faculty of Engineering and Natural Sciences, Istinye University, 34396 Sarıyer, Istanbul, Turkey)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

Nowadays, the design of supply chain networks should be based on environmental issues as well as the needs of customers since the main driver of a supply chain network is customers. Continuous innovation of products requires understanding the features that are most important to customers, and product pricing should be carried out in a way that includes the satisfaction of both customers and manufacturers. This study uses the Kano model to classify product features into different categories. The design of the green supply chain network based on the Kano model has not been investigated in the literature so far. This study examines a green supply chain network including multiple manufacturers, product types, distributors, and carriers that is designed based on Kano’s conceptual model of multiple needs. In the proposed mathematical model of this paper, customer demand is a function of the selling price of the product, transportation pollution is minimized, and a solution based on the Cooperative Game Theory approach is used to solve the mathematical model using the GAMS software. One of the advantages of the proposed mathematical model in this research compared to other supply chain models is that the design needs of the supply chain network based on the Kano model (“must-be”, “one-dimensional”, “attractive” and “indifferent”) can be determined based on customer satisfaction. In addition, the price of the product can be determined according to the satisfaction of both customers and the manufacturers.

Suggested Citation

  • Amir Hossein Sheikh Azadi & Vahid Shamsi Nesary & Omid Kebriyaii & Mohammad Khalilzadeh & Jurgita Antucheviciene, 2023. "Design of a Green Supply Chain Based on the Kano Model Considering Pricing," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13038-:d:1228377
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    References listed on IDEAS

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    1. Ma, Peng & Wang, Haiyan & Shang, Jennifer, 2013. "Supply chain channel strategies with quality and marketing effort-dependent demand," International Journal of Production Economics, Elsevier, vol. 144(2), pages 572-581.
    2. Elina Dace & Agnis Stibe & Lelde Timma, 2020. "A holistic approach to manage environmental quality by using the Kano model and social cognitive theory," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 430-443, March.
    3. Yuhan Ge & Qing Yuan & Yaxi Wang & Keunsoo Park, 2021. "The Structural Relationship among Perceived Service Quality, Perceived Value, and Customer Satisfaction-Focused on Starbucks Reserve Coffee Shops in Shanghai, China," Sustainability, MDPI, vol. 13(15), pages 1-19, August.
    4. V. Krishnan & Karl T. Ulrich, 2001. "Product Development Decisions: A Review of the Literature," Management Science, INFORMS, vol. 47(1), pages 1-21, January.
    5. Hull, Bradley, 2005. "The role of elasticity in supply chain performance," International Journal of Production Economics, Elsevier, vol. 98(3), pages 301-314, December.
    6. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    7. Heydari, Jafar & Govindan, Kannan & Aslani, Amin, 2019. "Pricing and greening decisions in a three-tier dual channel supply chain," International Journal of Production Economics, Elsevier, vol. 217(C), pages 185-196.
    8. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    9. Sibdari, Soheil & Pyke, David F., 2014. "Dynamic pricing with uncertain production cost: An alternating-move approach," European Journal of Operational Research, Elsevier, vol. 236(1), pages 218-228.
    10. Fernando Barrios-Ipenza & Arturo Calvo-Mora & Fernando Criado-García & Walter H. Curioso, 2021. "Quality Evaluation of Health Services Using the Kano Model in Two Hospitals in Peru," IJERPH, MDPI, vol. 18(11), pages 1-19, June.
    11. Wang, Charles X. & Qian, Zhuang & Zhao, Yabing, 2018. "Impact of manufacturer and retailer's market pricing power on customer satisfaction incentives in supply chains," International Journal of Production Economics, Elsevier, vol. 205(C), pages 98-112.
    12. Seifbarghy, Mehdi & Nouhi, Khashayar & Mahmoudi, Amin, 2015. "Contract design in a supply chain considering price and quality dependent demand with customer segmentation," International Journal of Production Economics, Elsevier, vol. 167(C), pages 108-118.
    13. Ramezanian, Reza & Behboodi, Zahra, 2017. "Blood supply chain network design under uncertainties in supply and demand considering social aspects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 69-82.
    14. Mahmoud Abdulhadi Alabdali & Mohammad Asif Salam, 2022. "The Impact of Digital Transformation on Supply Chain Procurement for Creating Competitive Advantage: An Empirical Study," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    15. Li, Wei & Chen, Jing & Chen, Bintong, 2018. "Supply chain coordination with customer returns and retailer's store brand product," International Journal of Production Economics, Elsevier, vol. 203(C), pages 69-82.
    16. Zhi-Peng Li & Hyi-Thaek Ceong & Sang-Joon Lee, 2021. "The Effect of Blockchain Operation Capabilities on Competitive Performance in Supply Chain Management," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    17. Thomas, Douglas J. & Griffin, Paul M., 1996. "Coordinated supply chain management," European Journal of Operational Research, Elsevier, vol. 94(1), pages 1-15, October.
    18. Yauwseph Tandiono & Hsin Rau, 2022. "An Enhanced Model Using the Kano Model, QFDE, and TRIZ with a Component-Based Approach for Sustainable and Innovative Product Design," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
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