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Interval variational approach for production control and waste reduction using artificial hummingbird algorithm
Subhajit Das1, Adel Fahad Alrasheedi2, Ali Akbar Shaikh3
1Department of Mathematics, Bhagalpur College of Engineering, Sabour, Bhagalpur, India, 813210.
Scientific Reports
|December 20, 2024
Summary
Companies can now optimize production and reduce hazardous waste using a new Artificial Hummingbird Algorithm. This eco-friendly manufacturing approach balances profit with green product standards, aiding managerial decisions.
Area of Science:
- Operations Research
- Environmental Management
- Computational Intelligence
Background:
- Growing consumer demand for eco-friendly products necessitates sustainable manufacturing practices.
- Traditional production methods often generate significant hazardous waste, posing environmental and economic challenges.
- Companies require effective strategies to balance profitability with environmental responsibility.
Purpose of the Study:
- To develop an optimization model for managing production processes, minimizing waste, and upholding green product standards.
- To introduce and evaluate the Artificial Hummingbird Algorithm (AHA) for profit maximization in eco-friendly manufacturing.
- To compare AHA's performance against other meta-heuristic optimization techniques.
Main Methods:
- Development of a novel optimization model integrating production management, waste reduction, and green standards.
- Implementation and application of the Artificial Hummingbird Algorithm (AHA) to solve the profit maximization problem.
- Comparative analysis of AHA against various established optimization algorithms across multiple case studies.
Main Results:
- The Artificial Hummingbird Algorithm demonstrated superior performance compared to other optimization techniques in most case studies.
- The optimization model effectively supports companies in managing production and reducing hazardous waste.
- Sensitivity analyses provided valuable insights for informed managerial decision-making in sustainable manufacturing.
Conclusions:
- The Artificial Hummingbird Algorithm is a highly effective meta-heuristic for optimizing eco-friendly manufacturing processes.
- The developed model offers a practical solution for companies aiming to enhance profitability while adhering to environmental standards.
- This research contributes to advancing sustainable operations management through innovative computational approaches.
Keywords:
AlgorithmArtificial hummingbird algorithmGreen productionImperfect productionInterval variational problemOptimizationSalvageWaste-disposal investmentMore Related Videos
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