A Sustainable Vendor–Buyer Supply Chain Framework Integrating Energy Storage Systems and Green Investments with Incentive Policies under Demand Uncertainty
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.2.14Keywords:
Carbon emission, Fuzzy environment, Varying demand, Energy storage systems, Green technology, Green incentivesDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This research evaluates the effects of integrating energy storage systems into supply chains comprising a vendor and a buyer governed by carbon tax regulations and augmented by green incentives, with an emphasis on promoting sustainability, lowering expenses, and preserving operational efficiency. In this study, a non-linear sustainable supply chain model is developed by incorporating an energy storage system and accounting for carbon emissions from various stages of the supply chain to reflect real-world complexities. In practice, carbon emissions are regulated by a carbon tax policy. Green technology investment is also incorporated to reduce carbon emissions in the supply chain. Besides lowering emissions, such investments can also reduce the energy required in the production process. To support these investments, the government provides green incentives, the amount of which is determined based on the achievement of emission reduction targets. The annual demand is modeled as a fuzzy variable to capture its imprecise nature. To address such uncertainties, Single-valued trapezoidal neutrosophic fuzzy parameters are employed in the model. The Lagrangian method is then applied to derive the optimal solution to the formulated problem. Finally, a numerical example and sensitivity analysis are presented to illustrate the application of the model and examine the impact of key parameters on model behaviour and performance. The proposed model was solved using the prescribed optimization method. The results indicate that the total integrated supply chain cost with investment in energy storage systems amounts to $10,054.23, whereas the cost without such investment is $11,693.77. This substantial reduction in total cost demonstrates that the implementation of energy storage systems significantly enhances the overall performance and cost-efficiency of the supply chain. The simultaneous incorporation of energy storage systems and green technology investments in a supply chain, alongside carbon taxes and green incentives under single-valued trapezoidal Neutrosophic fuzzy environments, has not yet been thoroughly investigated in the existing literature.Abstract
How to Cite
Downloads
Similar Articles
- L. Vamsi Narasimha Rao, P.S.Prakash, M.Veera Kumari, Improvement of power system operation using a novel hybrid optimization method for optimal allocation of facts devices in radial transmission line , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Allin Joe D, Thiyagarajan Krishnan, A modified sierpinski carpet antenna structure for multiband wireless applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Himadri Nalinkumar Raval, Effective strategies in English language teaching: Enhancing writing proficiency among learners , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Nivethra Selvaraj , Dr. R. Prathiba Devi, Eco-friendly natural dyes and their application on printing graphics , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Bhaskar Pandya, Pradipsinh Zala, Vocational education and lifelong learning: Preparing a skilled workforce for the future , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Neeraj ., Anita Singhrova, Quantum Key Distribution-based Techniques in IoT , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- P. Rajkumar, B. Vijay Bhaskar, Assessing the impact of indoor air pollution on respiratory health: A survey of home residents in rural area , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- V Anitha, Seema Sharma, R. Jayavadivel, Akundi Sai Hanuman, B Gayathri, R. Rajagopal, A network for collaborative detection of intrusions in smart cities using blockchain technology , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Dattatraya Pandurang Rane, Amey Adinath Choudhari, Rita Kakade, Technology-driven financial inclusion: Opportunities for corporate expansion in emerging markets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Amresh Kumar Singh, Manjit Singh Chhetri, Pushyamitra Mishra, Toughness and Ductile Brittle Transition Temperature of Different Mineral Filler Reinforced TPOs Composites , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
<< < 15 16 17 18 19 20 21 22 23 24 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- U. Johns Praveena, J. Merline Vinotha, The multi-objective solid transshipment problem with preservation technology under fuzzy environment , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, A New Approach for Solving Bilevel Fractional/quadratic Green Transportation Problem by Implementing AI with Multi Choice Parameters Under Uncertainty , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Fuzzy Supply Chain Model Evaluating Energy Management Systems under Imperfect Production and Uncertain Costs , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, Multi-objective Solid Green Trans-shipment Problem for Cold Chain Logistics under Fuzzy Environment , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A resilient supply chain model integrating demand variability and carbon emissions in imperfect production systems , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, Optimization of a Lean Vendor–Buyer Supply Chain Model under Neutrosophic Fuzzy Environment with Transportation, Loading, and Unloading Considerations , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- U. Johns Praveena, J. Merline Vinotha, Bilevel Fractional/Quadratic Green Transshipment Problem by Implementing AI traffic control system with Multi Choice Parameters Under Fuzzy Environment , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper

