DEVELOPMENT OF A MODEL OF MANAGEMENT OF ORGANIZATIONAL SYSTEM OF INDUSTRIAL ENTERPRISE FOR OPTIMIZATION OF PRODUCTION OF CUSTOM PRODUCTS

Chekhomov Igor Vladislavovich, postgraduate, Dept. of Big Data Analytics and Video Analysis Methods, Ural Federal University

Abstract

In the context of mass production and Industry 4.0, custom manufacturing becomes important to improve the competitiveness of enterprises. However, managing this type of production is fraught with challenges: longer production times, complexity of inventory and human resource management, as well as difficulties in balancing workloads and optimizing production schedules. Unlike mass production, where processes are standardized and predictable, custom manufacturing requires a more flexible and adaptive approach to planning and resource allocation. The high variability of orders leads to frequent adjustments in production workflows, increasing the risk of inefficiencies and bottlenecks. Additionally, ensuring the optimal use of human resources becomes a critical issue, as different tasks require varying levels of expertise and specialization. The paper analyzes models and methods of management of industrial enterprises with custom or non-batch production and proposes an audit of a real factory. The study examines existing approaches to production planning and explores their limitations when applied to enterprises with high product variability. As a result of the analysis, the author sets a management problem, considering the experience of other researchers and real problems identified during the audit, and proposes a universal management model for enterprises with non-batch production, aiming to improve operational efficiency, resource utilization, and production adaptability.

KEYWORDS: mathematical modelling, production management, data-driven management, custom production.

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