This study develops a mathematical model to improve closed-loop supply chains (CLSC) by combining forward and reverse logistics.
Authors
Ajay Kumar Pandey, Department of Mechanical Engineering, Indian Institute of Technology (BHU), UP, Varanasi, India
Amit Kumar, Department of Mechanical Engineering, Indian Institute of Technology (BHU), UP, Varanasi, India
Sneha Kushwaha, Department of Information Technology, Shivajirao S. Jondhale College of Engineering, Dombivli East, Maharashtra, Dombivli, India
Ashish Dwivedi, Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Saurabh Pratap, Department of Mechanical Engineering, Indian Institute of Technology (BHU), UP, Varanasi, India
Summary
The closed-loop supply chain (CLSC) has gained popularity as a practical way to improve sustainability and resource efficiency in various industries. Unlike a linear supply chain, a CLSC adopts reverse logistics to recover, recycle, and reuse items or their components. This study creates a mathematical model for a reliable and effective CLSC model that integrates forward and reverse logistics operations to reduce costs, boost profits, and reduce environmental impact. A metaheuristic approach (Genetic Algorithm) is used to solve the model. The experimental findings show that the suggested strategy contributes in enhancing CLSC performance.
Published in: Lecture Notes in Networks and Systems
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