Nowadays, consumers show more interest towards eco-friendly products. To meet this demand, however, manufacturing processes often generate a lot of hazardous waste, which creates challenges for companies. To tackle these issues, this work develops an optimization model to help companies with managing production, reduce waste, and maintain green product standards. To navigate solution of the profit maximization problem became apparent in the model, a new meta-heuristics called Artificial Hummingbird Algorithm is employed and compared with a wide range of other optimization techniques. The results demonstrate that this algorithm outperforms others on the majority of case studies. Sensitivity analyses are also performed to help managers make informed decisions.

Centre for Artificial Intelligence Research and Optimisation Torrens University Australia Fortitude Valley Brisbane QLD 4006 Australia

Department of Mathematics Bhagalpur College of Engineering Sabour Bhagalpur India 813210

Department of Mathematics The University of Burdwan Burdwan 713104 India

Department of Statistics and Operations Research College of Science King Saud University P O Box 2455 11451 Riyadh Saudi Arabia

Faculty of Electrical Engineering and Computer Science VSB Technical University of Ostrava Ostrava Czech Republic

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