Sustainable Supply Chain System for Defective Products with Different Carbon Emission Strategies

Pitchaikani Mala, Muthusamy Palanivel, Siluvayan Priyan (), Anuwat Jirawattanapanit, Grienggrai Rajchakit and Pramet Kaewmesri ()
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Pitchaikani Mala: Department of Mathematics, National Engineering College, Kovilpatti 628503, India
Muthusamy Palanivel: Department of Mathematics, Mepco Schlenk Engineering College, Sivakasi 626005, India
Siluvayan Priyan: Department of Information Technology & Engineering, Faculty of Mathematics, Amity University, Tashkent 100028, Uzbekistan
Anuwat Jirawattanapanit: Department of Mathematics, Faculty of Science, Phuket Rajabhat University (PKRU), Phuket 83000, Thailand
Grienggrai Rajchakit: Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand
Pramet Kaewmesri: Geo-Informatics and Space Technology Development Agency (GISTDA), Bangkok 10210, Thailand

Sustainability, 2022, vol. 14, issue 23, 1-22

Abstract: Many nations have created ecological policies and regulations to prevent industries from emitting excessive amounts of carbon emissions into the environment. While significant progress has been achieved in the direction of sustainable growth, many nations still rely on nonrenewable energy sources. This study explores the viability of investing in green technology to achieve the optimal decisions (lot sizes, lead time, and green investment amount) in a two-echelon supply chain system by considering human error with two carbon emission strategies: carbon taxes and limited carbon emissions. It entails the inspection of every shipped lot by the buyer to identify defective products that could have resulted from the vendor’s production process. We show a constrained non-linear program and design a calculus-optimization technique to solve it. The methodology used in this research is the quantitative method, which is based on the principles of operations research, and the models are built on mathematically oriented inventory theory. The results imply that an outsized ecological carbon footprint can be reduced without compromising customer service by designing optimal inventory strategies. The findings also confirm that green investment is the greatest economical method for reducing carbon emissions and system costs.

Keywords: supply chain; imperfect items; human error; carbon emission (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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