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A remanufacturing inventory model to control the carbon emission using cap-and-trade regulation with the hexagonal fuzzy number

Ritu Arora (Department of Mathematics and Statistics, Gurukula Kangri (Deemed to be University), Hardwar, India)
Anubhav Pratap Singh (Department of Mathematics, Sri Guru Ram Rai Post Graduate College, Dehradun, India)
Renu Sharma (Department of Mathematics and Statistics, Gurukul Kangri (Deemed to be University), Haridwar, India)
Anand Chauhan (Department of Mathematics, Graphic Era (Deemed to be University), Dehradun, India)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 22 October 2021

Issue publication date: 11 August 2022

129

Abstract

Purpose

The awareness for protecting the environment has resulted in remanufacturing and recycling policies in manufacturing industries. Carbon emission is one of the most important elements affecting the environment. Carbon emission due to production and transportation creates complicated situations for the manufacturing firms by affecting the manufacturer's carbon quota. The ecological consequences posed in a reverse logistic model are the subject of this study.

Design/methodology/approach

The present study explores the fuzzy model of economic production for both remanufacturing and recycling with uncertain cost parameters under the cap-and-trade rule to control the carbon emission due to different modes of transportation. Due to imprecise cost parameters, the hexagonal fuzzy numbers are set to fuzzify the overall cost, which leads to correct decisions in a more confident way. The result is defuzzified by using graded mean integration.

Findings

This study offers an explicit condition to control the carbon emission of the manufacturer and reduce the optimum cost. The findings indicate that the collection of used goods that can be remanufactured must be increased. The model is validated numerically. Sensitivity analysis explores the various aspects of different parameters on net cost to accomplish the fuzzy production model.

Originality/value

Under fuzzy inference, the research offers a relevant contribution in the field of recycling with controlling carbon emission by using the cap-and-trade policy. This study provides a trading strategy for a manufacturer's decision to avoid losses.

Keywords

Acknowledgements

There is no conflict of interest for this research work.

Citation

Arora, R., Singh, A.P., Sharma, R. and Chauhan, A. (2022), "A remanufacturing inventory model to control the carbon emission using cap-and-trade regulation with the hexagonal fuzzy number", Benchmarking: An International Journal, Vol. 29 No. 7, pp. 2202-2230. https://doi.org/10.1108/BIJ-05-2021-0254

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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