Pursuing Optimum Productivity While Maintaining Environmental Sustainability in Food Processing

Sudatta Banerjee¹ , Debdip Khan²

1. Dept. of Business Administration, Burdwan Raj College, Burdwan, W.B., India.
2. Dept. of Business Administration, Burdwan Raj College, Burdwan, W.B., India.

Section:Research Paper, Product Type: Journal-Paper
Vol.10 , Issue.8 , pp.37-43, Aug-2024

Online published on Aug 31, 2024

Copyright © Sudatta Banerjee, Debdip Khan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This paper investigates the challenge of optimizing productivity in the food processing industry while adhering to environmental sustainability requirements. Traditional optimization techniques often fall short under complex, real-life distributional frameworks, leading to the rise of heuristic algorithms offering near-optimal solutions. This study reviews historical and contemporary approaches to productivity optimization and identifies a critical research gap: the need for a unified model that balances productivity with environmental sustainability. The proposed methodology involves identifying key productivity factors, establishing a measure for environmental sustainability, and employing advanced heuristic and AI-based optimization techniques to maximize productivity within sustainability constraints. This research aims to provide actionable insights for achieving efficiency in food processing operations without compromising environmental goals.

Key-Words / Index Term :
Productivity Optimization, Environmental Sustainability, Food Processing Industry, Heuristic Algorithms, Artificial Intelligence

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