Work

Interval variational approach for production control and waste reduction using artificial hummingbird algorithm

Year: 2024

Type: article

Abstract: 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.

Source: Scientific Reports

DOI: 10.1038/s41598-024-79135-2

Authors: Subhajit Das, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Seyedali Mirjalili

Institutions: King Saud University, University of Burdwan, VSB - Technical University of Ostrava, Torrens University Australia

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: gold

Estimated APC paid: $2,590