ORIGINAL RESEARCH article

Front. Mech. Eng.

Sec. Digital Manufacturing

Integrated Multi-Criteria Optimization of Production, Transport, and Storage Assets in Machine-Building Systems

  • 1. Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan

  • 2. Peter the Great St. Petersburg Polytechnic University, Saint Petersburg,, Russia

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Abstract

Optimizing the parameters of the loading process for equipment and vehicles used in the manufacturing process at a machine-building enterprise is one of the key tasks of technological production planning. This process has a hierarchically complex structure, which depends on the number of types of production resources being optimized, as well as the level of detail in the scheduling periods. The basis for improving the efficiency of production resources is the comprehensive optimization of their loading parameters within the relevant scheduling periods. To solve this problem, a comprehensive model for the multi-criteria optimization of production capacity utilization parameters has been developed, establishing a clear hierarchical relationship between its elements. The hierarchical structure of the model is based on the structural decomposition of planning periods. The model contains five basic management levels corresponding to the sub-periods of production scheduling: calendar year, quarter, calendar month, working day, and working shift. The article presents the results of testing the proposed model using the example of optimizing the utilization parameters of a fleet of techno-logical equipment and vehicles used within a production unit. During the study, the load parameters of 17 units of technological equipment and three units of transport vehicles were optimized. Production batches were redistributed between units of technological equipment and transport vehicles. As a result of the optimization, the unevenness of utilization for the fleet of technological equipment and freight transport decreased by 15.9%, while the total amount of losses associated with equipment and vehicle downtime decreased by 19.31%. The results obtained confirm the effectiveness of the proposed model for the comprehensive optimization of production asset utilization.

Summary

Keywords

Pareto optimization, planning, production, Transportation, vector optimization criterion

Received

19 May 2026

Accepted

23 July 2026

Copyright

© 2026 Nurzhanova, Zharkevich, Khrustaleva, Shkodirev, Bakenov, Zakirov and Safaryan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Olga Zharkevich

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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