Bringing A Freezing Complex to Design Capacity through Operational Synchronization of Inter-Shop Processes

Andrii Kalinichenko

Citation: Andrii Kalinichenko, "Bringing A Freezing Complex to Design Capacity through Operational Synchronization of Inter-Shop Processes", OAS Journal of Engineering and Applied Sciences, Volume 01, Issue 01.

Copyright: 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.

Abstract

Seasonal seafood processors often lose freezing capacity between operations, although plate freezers and refrigeration equipment remain technically available. The article develops an analytical model to bring a freezing complex to design capacity by synchronizing inter-shop processes. The research aim is to integrate freezing-cycle timing, bottleneck control, crew rotation, loading discipline, and downstream release into a single operational logic. The material base consists of recent sources on industrial refrigeration control, manufacturing scheduling, food-freezing monitoring, flow-shop blocking, and bottleneck-sensitive execution, supported by practitioner-reported operating indicators from a large Kodiak seafood freezing shop. The methods include source analysis, comparative analysis, conceptual synthesis, typologization, and analytical generalization of practitioner-reported shop indicators. The results define three synchronization levels: refrigeration-load timing, material-flow coordination, and supervisory cycle control. These levels are presented as the author’s operational typology. Practical applications center on reducing idle intervals around chamber turnover, protecting the current-limiting point, and aligning sorting, freezing, packaging, and storage transfers during short seafood-processing seasons.

Keywords: Freezing Complex, Plate Freezing, Design Capacity, Seafood Processing, Industrial Refrigeration, Inter-Shop Synchronization, Bottleneck Control, Flow-Shop Scheduling, Chamber Turnover, Operational Ramp-Up.

References:
1. Baader, F. J., Bardow, A., & Dahmen, M. (2021). Simultaneous mixed-integer dynamic scheduling of processes and their energy systems. arXiv preprint arXiv:2111.09842.
2. Galarce, F., Rivera, D., Pacheco, D., Caiazzo, A., & Castillo, E. (2024). A reduced-order framework for temperature estimation in food freezing from optimally located sensors, including turbulent conjugate flow scenarios. arXiv preprint arXiv:2412.19387.
3. King, B., & Hildebrand, R. (2024). Job shop scheduling with integer programming, shifting bottleneck, and decision diagrams: A computational study. arXiv preprint arXiv:2407.18111.
4. Konda, R., Prescott, J., Chandan, V., Crossno, J., Pollard, B., Walsh, D., Bohonek, R., & Marden, J. R. (2024a). Efficient industrial refrigeration scheduling with peak pricing. arXiv preprint arXiv:2405.20433.
5. Konda, R., Chandan, V., Crossno, J., Pollard, B., Walsh, D., Bohonek, R., & Marden, J. R. (2024b). Utilizing load shifting for optimal compressor sequencing in industrial refrigeration. arXiv preprint arXiv:2403.07831.
6. Korkmaz, B. S., Zagórowska, M., & Mercangöz, M. (2022). Safe optimization of an industrial refrigeration process using an adaptive and explorative framework. arXiv preprint arXiv:2211.13019.
7. Liu, R., Chen, Z., Li, Y., Xie, Z., & Zhang, P. (2025). Integrated planning and machine-level scheduling for high-mix discrete manufacturing: A profit-driven heuristic framework. arXiv preprint arXiv:2512.10358.
8. Missaoui, A., Ozturk, C., O’Sullivan, B., & Garraffa, M. (2023). Energy efficient manufacturing scheduling: A systematic literature review. arXiv preprint arXiv:2308.13585.
9. Nicosia, G., Pacifici, A., Pferschy, U., Russo, A. R., & Salvatore, C. (2024). Flow shop scheduling with inter-stage flexibility and blocking constraints. arXiv preprint arXiv:2411.18381.
10. Shah, V., John, Y., Freifeld, E., Chen, L. Y., & Marden, J. R. (2025). Cooling under convexity: An inventory control perspective on industrial refrigeration. arXiv preprint arXiv:2510.03448.