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Sustainable optimal production policies for an imperfect production system with trade credit under different carbon emission regulations

Author

Listed:
  • Falguni Mahato

    (Sidho-Kanho-Birsha University)

  • Chandan Mahato

    (Sidho-Kanho-Birsha University)

  • Gour Chandra Mahata

    (Sidho-Kanho-Birsha University)

Abstract

Production systems are subject to imperfect processes among other factors that may produce items of imperfect quality. To avoid further losses, regular preventive maintenance, and system breakdowns, firms can make changes in their production planning decisions or invest in a green inventory management. Every manufacturing system generates some harmful by-products which are the causes of environmental pollution, and it is increasing day by day. As a result, one of the goals of this research is to develop a sustainable smart manufacturing model with less waste and controlled pollution. Moreover, permissible delay in payment is a popular payment method and important proportion of company finance. This research proposes a manufacturing plan for products by controlling pollution through sustainable and smart production under warranty and preventive maintenance performed with trade credits. Two different sustainable production models are presented here by considering pollution control costs. A sustainable production model with variable pollution costs is examined under the influence of three pollution control mechanisms to improve the model's applicability. The paper's novelty lies in introducing pollution control costs and pollution control mechanisms together in a flexible, sustainable production system. In comparison with the other models, the model with a variable pollution cost appears to be more sustainable as, in this case, there is a 27.76% reduction in the pollution level compared to the other models. Implementing three pollution-controlling strategies, such as pollution cap, pollution cap & trade, and pollution tax, resulted in reductions of 32.52%, 1.72%, and 0.84% in pollution levels, respectively. A sensitivity analysis of the obtained results is also carried out to show the model's strength and robustness.

Suggested Citation

  • Falguni Mahato & Chandan Mahato & Gour Chandra Mahata, 2023. "Sustainable optimal production policies for an imperfect production system with trade credit under different carbon emission regulations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10073-10099, September.
  • Handle: RePEc:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02477-2
    DOI: 10.1007/s10668-022-02477-2
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    1. Mei-Chuan Cheng & Tsu-Pang Hsieh & Hsiu-Mei Lee & Liang-Yuh Ouyang, 2020. "Optimal ordering policies for deteriorating items with a return period and price-dependent demand under two-phase advance sales," Operational Research, Springer, vol. 20(2), pages 585-604, June.
    2. Chayanika Rout & Ravi Shankar Kumar & Debjani Chakraborty & Adrijit Goswami, 2019. "An EPQ model for deteriorating items with imperfect production, inspection errors, rework and shortages : a type-2 fuzzy approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 657-688, September.
    3. Asif Iqbal Malik & Byung Soo Kim, 2020. "A Constrained Production System Involving Production Flexibility and Carbon Emissions," Mathematics, MDPI, vol. 8(2), pages 1-21, February.
    4. Gour Chandra Mahata, 2017. "A production-inventory model with imperfect production process and partial backlogging under learning considerations in fuzzy random environments," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 883-897, April.
    5. Chang Wook Kang & Misbah Ullah & Mitali Sarkar & Muhammad Omair & Biswajit Sarkar, 2019. "A Single-Stage Manufacturing Model with Imperfect Items, Inspections, Rework, and Planned Backorders," Mathematics, MDPI, vol. 7(5), pages 1-18, May.
    6. Alberto Cambini & Laura Martein, 2009. "Generalized Convexity and Optimization," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-70876-6, December.
    7. Puspita Mahata & Gour Chandra Mahata, 2020. "Production and payment policies for an imperfect manufacturing system with discount cash flows analysis in fuzzy random environments," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 26(4), pages 374-408, July.
    8. Bonney, Maurice & Jaber, Mohamad Y., 2011. "Environmentally responsible inventory models: Non-classical models for a non-classical era," International Journal of Production Economics, Elsevier, vol. 133(1), pages 43-53, September.
    9. Lee, Sunghee & Kim, Daeki, 2014. "An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 161-170.
    10. Muhammad Tayyab & Biswajit Sarkar & Bernardo Nugroho Yahya, 2018. "Imperfect Multi-Stage Lean Manufacturing System with Rework under Fuzzy Demand," Mathematics, MDPI, vol. 7(1), pages 1-18, December.
    11. J.N. Roul & K. Maity & S. Kar & M. Maiti, 2015. "Multi-item reliability dependent imperfect production inventory optimal control models with dynamic demand under uncertain resource constraint," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 4993-5016, August.
    12. Zhong, Yuanguang & Shu, Jia & Xie, Wei & Zhou, Yong-Wu, 2018. "Optimal trade credit and replenishment policies for supply chain network design," Omega, Elsevier, vol. 81(C), pages 26-37.
    13. Pal, Brojeswar & Sana, Shib Sankar & Chaudhuri, Kripasindhu, 2014. "Joint pricing and ordering policy for two echelon imperfect production inventory model with two cycles," International Journal of Production Economics, Elsevier, vol. 155(C), pages 229-238.
    14. Hsu, Jia-Tzer & Hsu, Lie-Fern, 2013. "An EOQ model with imperfect quality items, inspection errors, shortage backordering, and sales returns," International Journal of Production Economics, Elsevier, vol. 143(1), pages 162-170.
    15. Mitali Sarkar & Byung Do Chung, 2021. "Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step Toward Sustainability," Energies, MDPI, vol. 14(1), pages 1-14, January.
    16. Balkhi, Zaid T., 2011. "Optimal economic ordering policy with deteriorating items under different supplier trade credits for finite horizon case," International Journal of Production Economics, Elsevier, vol. 133(1), pages 216-223, September.
    17. Yu-Chung Tsao, 2016. "Joint location, inventory, and preservation decisions for non-instantaneous deterioration items under delay in payments," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 572-585, February.
    18. Sana, Shib Sankar & Goyal, Suresh Kumar & Chaudhuri, Kripasindhu, 2007. "An imperfect production process in a volume flexible inventory model," International Journal of Production Economics, Elsevier, vol. 105(2), pages 548-559, February.
    19. Jie Min & Yong-Wu Zhou & Gui-Qing Liu & Sheng-Dong Wang, 2012. "An EPQ model for deteriorating items with inventory-level-dependent demand and permissible delay in payments," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(6), pages 1039-1053.
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