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A dual-channel network design model in a green supply chain considering pricing and transportation mode choice

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  • Farnaz Barzinpour

    (Iran University of Science and Technology)

  • Peyman Taki

    (Iran University of Science and Technology)

Abstract

A green supply chain with a well-designed network can strongly influence the performance of supply chain and environment. The designed network should lead the supply chain to efficient and effective management to meet the efficient profit, sustainable effects on environment and customer needs. The proposed mathematical model in this paper identifies locations of productions and shipment quantity by exploiting the trade-off between costs, and emissions for a dual channel supply chain network. Due to considering different prices and customers zones for channels, determining the prices and strategic decision variables to meet the maximum profit for the proposed green supply chain is contemplated. In this paper, the transportation mode as a tactical decision has been considered that can affect the cost and emissions. Lead time and lost sales are considered in the modeling to reach more reality. The developed mathematical model is a mixed integer non-linear programming which is solved by GAMS. Due to NP-hard nature of the proposed model and long run time for large-size problems by GAMS, artificial immune system algorithm based on CLONALG, genetic and memetic algorithms are applied. Taguchi technique is used for parameter tuning of all meta-heuristic algorithms. Results demonstrate the strength of CLONALG rather than the other methods.

Suggested Citation

  • Farnaz Barzinpour & Peyman Taki, 2018. "A dual-channel network design model in a green supply chain considering pricing and transportation mode choice," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1465-1483, October.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:7:d:10.1007_s10845-015-1190-x
    DOI: 10.1007/s10845-015-1190-x
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    1. Mallidis, Ioannis & Dekker, Rommert & Vlachos, Dimitrios, 2012. "The impact of greening on supply chain design and cost: a case for a developing region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 118-128.
    2. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    3. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    4. P. S. Davis & T. L. Ray, 1969. "A branch‐bound algorithm for the capacitated facilities location problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 16(3), pages 331-344, September.
    5. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof, J. & van Nunen, J.A.E.E. & Spengler, T., 2009. "A methodology for assessing eco-efficiency in logistics networks," European Journal of Operational Research, Elsevier, vol. 193(3), pages 670-682, March.
    6. Aras, Necati & Aksen, Deniz, 2008. "Locating collection centers for distance- and incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 111(2), pages 316-333, February.
    7. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    8. Seyed Mohammad Javad Mirzapour Al-E-Hashem & Armand Baboli & Z. Sazvar, 2013. "A stochastic aggregate production planning model in a green supply chain : Considering flexible lead times, nonlinear purchase and shortage cost functions," Post-Print hal-02313031, HAL.
    9. Tiwari, M.K. & Raghavendra, N. & Agrawal, Shubham & Goyal, S.K., 2010. "A Hybrid Taguchi-Immune approach to optimize an integrated supply chain design problem with multiple shipping," European Journal of Operational Research, Elsevier, vol. 203(1), pages 95-106, May.
    10. Fahimnia, Behnam & Sarkis, Joseph & Eshragh, Ali, 2015. "A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis," Omega, Elsevier, vol. 54(C), pages 173-190.
    11. Mehdi Amini & Haitao Li, 2015. "The impact of dual-market on supply chain configuration for new products," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5669-5684, September.
    12. A. M. Geoffrion & G. W. Graves, 1974. "Multicommodity Distribution System Design by Benders Decomposition," Management Science, INFORMS, vol. 20(5), pages 822-844, January.
    13. Heekyung An, 2008. "The Construction of Green Supply Chain Management System," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 1(3), pages 70-79, July.
    14. Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Sazvar, Z., 2013. "A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions," European Journal of Operational Research, Elsevier, vol. 230(1), pages 26-41.
    15. Cardoso, Sónia R. & Barbosa-Póvoa, Ana Paula F.D. & Relvas, Susana, 2013. "Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 226(3), pages 436-451.
    16. Fahimnia, Behnam & Sarkis, Joseph & Choudhary, Alok & Eshragh, Ali, 2015. "Tactical supply chain planning under a carbon tax policy scheme: A case study," International Journal of Production Economics, Elsevier, vol. 164(C), pages 206-215.
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    Cited by:

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    2. Tahirov, Nail & Glock, Christoph H., 2022. "Manufacturer encroachment and channel conflicts: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 302(2), pages 403-426.
    3. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    4. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.
    5. Pal, Preeti & Gopal, P.R.C. & Ramkumar, M., 2023. "Impact of transportation on climate change: An ecological modernization theoretical perspective," Transport Policy, Elsevier, vol. 130(C), pages 167-183.
    6. Xuanlong Qin & Danish Iqbal Godil & Salman Sarwat & Zhang Yu & Syed Abdul Rehman Khan & Sobia Shujaat, 2022. "Green practices in food supply chains: evidence from emerging economies," Operations Management Research, Springer, vol. 15(1), pages 62-75, June.
    7. Ata Allah Taleizadeh & Milad Shahriari & Shib Sankar Sana, 2021. "Pricing and Coordination Strategies in a Dual Channel Supply Chain with Green Production under Cap and Trade Regulation," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    8. Mustapha Anwar Brahami & Mohammed Dahane & Mehdi Souier & M’hammed Sahnoun, 2022. "Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach," Annals of Operations Research, Springer, vol. 311(2), pages 821-852, April.

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