Optimal Load Schedule in Medium Sized Enterprises

This report examines the optimization of load scheduling in medium-sized enterprises to improve energy efficiency and reduce costs. In the modern industrial environment, companies face the need to optimize their production processes while minimizing energy costs and environmental impact. The proposed approach uses load optimization methods that include intelligent algorithms and energy consumption forecasts, considering the constraints and requirements of enterprises. The results demonstrate significant potential for cost savings and sustainability through optimized load scheduling, improving both operational costs and overall productivity.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/bulef63204.2024.10794925
Citations
1
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.35
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article

Optimal Load Schedule in Medium Sized Enterprises

Plamen Antonov Stanchev, Nikolay Lyuboslavov Hinov, Gergana Vacheva
1 citations
Scheduling and Optimization Algorithms
0.35
article

Optimal Load Schedule in Medium Sized Enterprises

Plamen Antonov Stanchev, Nikolay Lyuboslavov Hinov, Gergana Vacheva
article en
1 citations

Abstract

This report examines the optimization of load scheduling in medium-sized enterprises to improve energy efficiency and reduce costs. In the modern industrial environment, companies face the need to optimize their production processes while minimizing energy costs and environmental impact. The proposed approach uses load optimization methods that include intelligent algorithms and energy consumption forecasts, considering the constraints and requirements of enterprises. The results demonstrate significant potential for cost savings and sustainability through optimized load scheduling, improving both operational costs and overall productivity.

Technical University of Sofia (BG)
Decent work and economic growth
Openalex Percentile: Top 32%
Scheduling and Optimization Algorithms
0.35
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