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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management
1Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Islamic Republic of Iran.
Summary
This study presents a reverse logistics (RL) model to manage COVID-19 and vaccine waste, optimizing costs for recycling centers. The integrated network design minimizes expenses in fixed costs, material flow, and facility construction.
Area of Science:
- Supply Chain Management
- Operations Research
- Environmental Management
Background:
- Reverse logistics (RL) is crucial for managing returned products, impacting customer satisfaction and operational costs.
- The COVID-19 pandemic significantly increased medical waste, highlighting the need for efficient waste management systems.
- Future widespread vaccination efforts will further escalate the volume of medical waste requiring careful management.
Purpose of the Study:
- To develop an integrated direct and reverse logistics network design model.
- To minimize fixed costs, material flow costs, and potential center construction expenses.
- To specifically address the management of COVID-19 and vaccine waste through a tailored RL model.
Main Methods:
- Formulation of a complex integer linear programming model for network design.
- Integration of direct and reverse logistics flows within the model.
- Utilization of the cuckoo optimization algorithm to solve the proposed model.
Main Results:
- A comprehensive RL model was designed for integrated direct and reverse logistics networks.
- The model effectively minimizes costs associated with fixed expenses, material flow, and facility establishment.
- Computational results and sensitivity analysis were presented for the proposed RL model.
Conclusions:
- The developed RL model provides an effective framework for managing COVID-19 and vaccine waste.
- Optimizing RL networks can lead to significant cost reductions in supply chain operations.
- The cuckoo optimization algorithm demonstrates efficacy in solving complex logistics network design problems.
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