Algorithm for building optimal technological routes in the machining industry

Authors

  • Kalandarov Ilyos Ibodullayevich Navoi State University of Mining and Technologies, Navoi, 210100, Uzbekistan
  • Ravshanov Husen Rustamovich Navoi mining and Metallurgical Combine JSC, Navoi, 210100, Uzbekistan
  • Gaffurov Tulkin Xolmurodovich Navoi mining and Metallurgical Combine JSC, Navoi, 210100, Uzbekistan

Keywords:

Workstations; human-machine interaction; tool shop management; automotive industry; production departments; non-standard scenarios; manufacturing environment; production workflow.

Abstract

The article presents a human-machine management system for a motor industry tool shop, designed based on developed models and algorithms addressing production division management tasks. The economic efficiency of the proposed system has been analyzed, demonstrating its potential to enhance the operational effectiveness of modern vehicle production units. The system supports management decision-making by leveraging the operational staff’s ability to adapt to informal situations, utilizing their experience, intuition, and predictive capabilities to address evolving production conditions. This management approach enables the activation of hidden reserves and additional resources within the production environment by fostering the creative initiative of unit leaders and site managers. Furthermore, the system’s capacity for rapid adaptation to changes in the production environment allows it to stabilize production processes more effectively than traditional batch information processing systems, even under the influence of random factors.

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Published

2024-12-30

How to Cite

Kalandarov Ilyos Ibodullayevich, Ravshanov Husen Rustamovich, & Gaffurov Tulkin Xolmurodovich. (2024). Algorithm for building optimal technological routes in the machining industry. American Journal of Technology Advancement, 1(8), 50–56. Retrieved from https://semantjournals.org/index.php/AJTA/article/view/909

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