Proceedings of the International Conference on Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME 2025)

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Maximizing Operational Flow in Multi-Component Processing

Authors
Abhijit Gaikwad1, *
1Independent Researcher, Houston, TX, USA
*Corresponding author. Email: abhijitgaikwad363@gmail.com
Corresponding Author
Abhijit Gaikwad
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-628-9_13How to use a DOI?
Keywords
Batch Scheduling; Genetic Algorithm; Multi-Product Manufacturing; Makespan Minimization; Machine Utilization; Evolutionary Optimization; Discrete Event Simulation; Production Planning; Smart Manufacturing; Scheduling Heuristics; Resource Allocation; Performance Evaluation; Simulation Modeling; Industrial Automation; Job Shop Scheduling; Metaheuristic Algorithms
Abstract

This industrial engineering paper addresses the challenge of optimizing concurrent production within multi-component processing environments. It presents a comprehensive analytical approach to maximize the overall operational flow, considering various product characteristics and processing constraints. The work details the mathematical modeling and solution methodologies employed to understand and control the intricate interactions that govern system throughput. This project effectively models the inherent feedback loops within batch operations, demonstrating how precise parameter adjustments drive performance maximization. The findings offer practical insights for enhancing productivity and efficiency in complex manufacturing and production systems.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME 2025)
Series
Advances in Engineering Research
Publication Date
31 March 2026
ISBN
978-94-6239-628-9
ISSN
2352-5401
DOI
10.2991/978-94-6239-628-9_13How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Abhijit Gaikwad
PY  - 2026
DA  - 2026/03/31
TI  - Maximizing Operational Flow in Multi-Component Processing
BT  - Proceedings of the International Conference on Recent Trends in Intelligent Computing, Manufacturing, and Electronics (rTIME 2025)
PB  - Atlantis Press
SP  - 131
EP  - 142
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-628-9_13
DO  - 10.2991/978-94-6239-628-9_13
ID  - Gaikwad2026
ER  -