Determination of Sustainable Factors in Green Supply Chain Management With the Adoption of Green Logistics in the Manufacturing Industry

Abstract

The economic performance of all nations and regions is significantly influenced by logistics. The performance of logistics is influenced by international trade and urbanization. Performance in logistics is significantly impacted by urbanization. However, logistics has drawbacks because it consumes a lot of energy. Because of increased traffic and urbanization, carbon emissions rise along with logistical performance. Positive effects of logistics performance are linked to trade openness, which lowers carbon emissions. Therefore, it is crucial to comprehend how logistics work from both an economic and an environmental perspective. Consequently, the article proposed to study the logistics performance which affects the environmental health and economic growth in a sustainable economy in India. However, the repair quality and performance of the repaired parts have been limited because of morphological and process-related quality control issues caused by the formation mechanism and deposition process. The main reason is that it is difficult due to the coupling of numerous process factors to precisely forecast the deposited layer shape and surface properties, making it challenging to control the process. The deposited layer formation mechanism and morphological features deposition of directed energy were thus analyzed using a particle swarm optimization-back propagation-based model for forecasting the morphology of defective items. The study also concentrated on determining how three green logistics organizations performed with their adoption of green logistics practices. The study used a cross-sectional survey research design and was informed by the positivist research philosophy. Through the use of a structured questionnaire, primary data were gathered. Three widely utilized techniques, construct reliability (CR), Average Variance Extracted (AVE), as well as Cronbach’s alpha, were employed to test validity and reliability. The remanufacturing tests have confirmed the proposed model’s accuracy for predicting defective layer morphology, with an impressively low average error prediction of just 1.203%. This breakthrough has far-reaching implications for industries like metallurgy, aerospace, and also energy and represents a major advancement in green remanufacturing technology.

Disclosure statement

The authors declare that they have no conflict of interest.

Data availability statement

Data sharing not applicable to this article as no datasets were generated or analyzed during this study.

Additional information

Notes on contributors

Ramasamy Narayanan

Sunil Kumar Karunakaran is a Research Scholar at Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Narayanan Ramasamy is an Associate Professor in Department of Mechanical Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Manoharan Dev Anand is a Professor in Department of Mechanical Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Nagarajan Santhi, is an Associate Professor in Department of ECE at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District, Tamil Nadu, India.

Manoharan Dev Anand

Sunil Kumar Karunakaran is a Research Scholar at Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Narayanan Ramasamy is an Associate Professor in Department of Mechanical Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Manoharan Dev Anand is a Professor in Department of Mechanical Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Nagarajan Santhi, is an Associate Professor in Department of ECE at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District, Tamil Nadu, India.

Nagarajan Santhi

Sunil Kumar Karunakaran is a Research Scholar at Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Narayanan Ramasamy is an Associate Professor in Department of Mechanical Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Manoharan Dev Anand is a Professor in Department of Mechanical Engineering at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District. Dr. Nagarajan Santhi, is an Associate Professor in Department of ECE at Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Kanyakumari District, Tamil Nadu, India.