Моделювання багатопотокових процесів

• Datum: 2025
• Hauptverfasser: Пилипюк, Тетяна, Щирба, Віктор
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: Kamianets-Podilskyi National Ivan Ohiienko University 2025
• Online Zugang: http://mcm-tech.kpnu.edu.ua/article/view/344998
• Назва журналу: Mathematical and computer modelling. Series: Technical sciences

Multi-stream processes modeling is carried out on the example of a container ship loading system modeling during maritime transportation. The relevance of the study is determined by the need to improve the safety and operational efficiency of maritime transportation. Traditional cargo placement planning systems are sequential and unable to effectively manage the continuous loading process in real time. The aim of the work is to develop a model of container ship loading as a multi-stream system that ensures synchronization of physical, logistical and engineering operations. Loading a ship is a continuous process that involves waiting, reconfiguring equipment, and moving cargo. Unforeseen events occur in real-world conditions. Time-phased scheduling allows for minimizing downtime and optimizing the sequence of port resource use, which directly impacts operating costs. Temporal decomposition allows for the creation of an adaptive model that can quickly change the loading plan for subsequent time intervals, minimizing the impact of disruptions. The concept of a multi-stream approach, within which four integrated flows (physical, logistical, engineering, and management) are distinguished, is substantiated and formalized in the article. The innovative value of the model lies in the transition from sequential verification to integrated multithreading: the management flow uses software synchronization mechanisms (semaphores, locking) to ensure the atomicity of critical operations and dynamic verification of all constraints simultaneously. A multi-criteria optimization objective function is proposed that minimizes the weighted sum of three key indicators: total vessel downtime, number of unnecessary container rearrangements and ship stability correction costs. The use of heuristic algorithms and graph theory to find optimal indicators is justified. The practical value of the model is in minimizing the impact of the human factor, increasing vessel safety and reducing port downtime through integrated and synchronized loading process management.