Managing Carbon Foot Prints in Supply Chain for Imperfect Quality Items

Authors

  • Sahil Bhardwaj Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, Uttar Pradesh – 201303, India
  • Mandeep Mittal School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India
  • Riju Chaudhary Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, Uttar Pradesh – 201303, India

DOI:

https://doi.org/10.13052/jrss0974-8024.1616

Keywords:

EOQ, inspection, imperfect quality items, carbon emission

Abstract

Producing 100% high-quality items is a challenging task in today’s era, which often results in the delivery of defective products. Therefore, inspecting the lot becomes a necessity. This paper investigates the impact of environmental concerns on the inventory model by incorporating fuel costs and emission taxes. The objective of the study is to minimize the expected total cost and determine the optimal order quantity. The study includes a numerical example with sensitivity analysis to determine the model’s robustness. The findings of the study indicate that minimizing emissions also reduces the expected total cost. The paper highlights the significance of considering environmental concerns in inventory management. The study highlights the importance of addressing environmental issues in inventory management and provides a framework for minimizing costs while considering the impact on the environment.

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Author Biographies

Sahil Bhardwaj, Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, Uttar Pradesh – 201303, India

Sahil Bhardwaj is a promising young researcher serving as a Research Scholar at the Department of Mathematics within the Amity Institute of Applied Sciences at Amity University Uttar Pradesh, Noida, India. His research focuses on several areas, notably Inventory Management, Supply Chain Optimization, and Data Envelopment Analysis. Sahil possesses a strong command over various software tools and programming languages, including Mathematica, and Lingo. His expertise and dedication make him a valuable asset in his field of study.

Mandeep Mittal, School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India

Mandeep Mittal is a seasoned Professor having 23 years’ experience in higher education institutions. Currently, he is working as a Professor in the School of Computer Science Engineering and Technology (SCSET), Bennett University, The Times Group. He earned his post-doctorate from Hanyang University, South Korea, Ph.D. from the University of Delhi, India, and postgraduation from IIT Roorkee, India. He has published more than 100 research articles in the International Journals/book chapters/conferences. He authored one book with Narosa Publication on C language and edited eight research books with IGI Global, USA and Springer, Singapore. He is a series editor of Inventory Optimization, Springer Singapore Pvt. Ltd. He guided 6 Ph.D. scholars, and 6 students are working with him in the area of Inventory Control and Management. He served as Head of the Department of Mathematics and Dean of Students Activities at Amity School of Engineering and Technology. He is a member of the editorial board of international journals. He actively participated as a core member of organizing committees in the international conferences in India and outside India.

Riju Chaudhary, Department of Mathematics, Amity Institute of Applied Sciences, Amity University Uttar Pradesh, Noida, Uttar Pradesh – 201303, India

Riju Chaudhary is an accomplished academic professional serving as an Assistant Professor and Research Scholar at the Department of Mathematics, Amity Institute of Applied Sciences, located in Amity University Uttar Pradesh, Noida, India. With an impressive teaching and research career spanning over 13 years, Riju’s expertise lies in various research domains, including Inventory Management, Supply Chain Optimization, Fuzzy Theory, and Data Envelopment Analysis, among others.

Riju possesses extensive knowledge of software tools and programming languages, which significantly enhances her research capabilities. She is proficient in utilizing Mathematica, Matlab, C++, and Lingo to facilitate her analytical and computational work. Riju’s proficiency in these tools allows her to explore complex mathematical models, conduct data analysis, and optimize supply chain processes effectively.

Her extensive teaching experience and research background make Riju an invaluable asset to the Department of Mathematics. Her passion for mathematics and dedication to advancing knowledge in her research areas contribute significantly to the academic and research community.

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Published

2023-09-14

How to Cite

Bhardwaj, S. ., Mittal, M. ., & Chaudhary, R. . (2023). Managing Carbon Foot Prints in Supply Chain for Imperfect Quality Items. Journal of Reliability and Statistical Studies, 16(01), 117–136. https://doi.org/10.13052/jrss0974-8024.1616

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Articles