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Low carbon supply chain configuration for a new product – a goal programming approach

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  • Marcus Brandenburg

Abstract

Green supply chain management and product innovation both have become sources of competitive advantage for companies from different industries. However, research on the configuration of green supply chains for new products represents a comparably new trend. In this paper, a goal programming approach is suggested to optimise the supply chain (SC) configuration for a new consumer product under consideration of economic and environmental criteria. The approach is illustrated by the case example of a fast moving consumer goods manufacturer. In this context, trade-offs between the ecologic factor of carbon emission, on the one hand, and financial value creation and customer service level on the other hand, are assessed in the deterministic analyses. The influence of long-term demand uncertainties is modelled in a scenario approach. It is observed that decentralised SC configurations enable carbon emission reduction without deteriorating the economic SC performance. Furthermore, it is detected that a focused economic optimisation strongly amplifies negative environmental impacts of demand uncertainties.

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  • Marcus Brandenburg, 2015. "Low carbon supply chain configuration for a new product – a goal programming approach," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6588-6610, November.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:21:p:6588-6610
    DOI: 10.1080/00207543.2015.1005761
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    Cited by:

    1. Fang Huang & Honghua Hu & Han Song & Haiyan Li & Shasha Zhang & Jia Zhai, 2023. "Allocation of the Carbon Emission Abatement Target in Low Carbon Supply Chain Considering Power Structure," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    2. Fahimnia, Behnam & Jabbarzadeh, Armin, 2016. "Marrying supply chain sustainability and resilience: A match made in heaven," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 306-324.
    3. Shoufeng Ji & Qi Sun, 2017. "Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China," Sustainability, MDPI, vol. 9(11), pages 1-27, November.
    4. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    5. Kinoshita, Yuki & Yamada, Tetsuo & Gupta, Surendra M. & Ishigaki, Aya & Inoue, Masato, 2020. "Decision support model of environmentally friendly and economical material strategy for life cycle cost and recyclable weight," International Journal of Production Economics, Elsevier, vol. 224(C).
    6. Guo, Yuhan & Yu, Junyu & Allaoui, Hamid & Choudhary, Alok, 2022. "Lateral collaboration with cost-sharing in sustainable supply chain optimisation: A combinatorial framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    7. Vikash Sharma & Rakesh D. Raut & Sachin Kumar Mangla & Balkrishna E. Narkhede & Sunil Luthra & Ravindra Gokhale, 2021. "A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1191-1212, February.
    8. Carlos A. Moreno-Camacho & Jairo R. Montoya-Torres & Anicia Jaegler, 2023. "Sustainable supply chain network design: a study of the Colombian dairy sector," Annals of Operations Research, Springer, vol. 324(1), pages 573-599, May.
    9. Raja Jayaraman & Cinzia Colapinto & Danilo Liuzzi & Davide Torre, 2017. "Planning sustainable development through a scenario-based stochastic goal programming model," Operational Research, Springer, vol. 17(3), pages 789-805, October.
    10. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    11. Qiang Han & Yuyan Wang, 2018. "Decision and Coordination in a Low-Carbon E-Supply Chain Considering the Manufacturer’s Carbon Emission Reduction Behavior," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    12. Ghasemy Yaghin, R. & Farmani, Zahra, 2023. "Planning a low-carbon, price-differentiated supply chain with scenario-based capacities and eco-friendly customers," International Journal of Production Economics, Elsevier, vol. 265(C).
    13. Tsai-Chi Kuo & Ming-Lang Tseng & Hsiao-Min Chen & Ping-Shun Chen & Po-Chen Chang, 2018. "Design and Analysis of Supply Chain Networks with Low Carbon Emissions," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1353-1374, December.
    14. Brandenburg, Marcus, 2017. "A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects," Omega, Elsevier, vol. 70(C), pages 58-76.
    15. Mohammad Fathian & Javid Jouzdani & Mehdi Heydari & Ahmad Makui, 2018. "Location and transportation planning in supply chains under uncertainty and congestion by using an improved electromagnetism-like algorithm," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1447-1464, October.
    16. Tuni, Andrea & Rentizelas, Athanasios, 2019. "An innovative eco-intensity based method for assessing extended supply chain environmental sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 126-142.
    17. Jun Wang & Qian Zhang & Xinman Lu & Rui Ma & Baoqin Yu & Huming Gao, 2022. "Emission reduction and coordination of a dynamic supply chain with green reputation," Operational Research, Springer, vol. 22(4), pages 3945-3988, September.
    18. Longfei He & Chenglin Hu & Daozhi Zhao & Haili Lu & Xiaoxi Fu & Yiyu Li, 2016. "Carbon emission mitigation through regulatory policies and operations adaptation in supply chains: theoretic developments and extensions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 179-207, November.
    19. Qiuxiang Li & Xingli Chen & Yimin Huang, 2019. "The Stability and Complexity Analysis of a Low-Carbon Supply Chain Considering Fairness Concern Behavior and Sales Service," IJERPH, MDPI, vol. 16(15), pages 1-21, July.
    20. 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.
    21. Remica Aggarwal & S. P. Singh, 2019. "An integrated NPV-based supply chain configuration with third-party logistics services," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(5), pages 367-375, October.
    22. Baiyun Yuan & Bingmei Gu & Jin Guo & Liangjie Xia & Chunming Xu, 2018. "The Optimal Decisions for a Sustainable Supply Chain with Carbon Information Asymmetry under Cap-and-Trade," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    23. Elifcan Göçmen & Rızvan Erol, 2018. "The Problem of Sustainable Intermodal Transportation: A Case Study of an International Logistics Company, Turkey," Sustainability, MDPI, vol. 10(11), pages 1-16, November.

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