SCIENTIFIC-METHODOLOGICAL BASES OF PRODUCTION RESOURCE MANAGEMENT IN COTTON-TEXTILE CLUSTERS

Аннотация

This article analyzes the scientific and methodological foundations of production inventory management in cotton-textile clusters. In the cluster system, the effective use of resources, management of the logistics chain, and optimization of reserves are of great importance. According to the results, effective reserve management is assessed as a factor in increasing the competitiveness of clusters, reducing costs, and ensuring sustainable development. Keywords: cotton-textile clusters, production reserves, logistics, resource management, optimization, competitiveness. In modern economic conditions, the cotton-textile industry is developing through a cluster system based on sectoral integration and effective resource management. In order to reform the textile industry of the Republic of Uzbekistan and increase its competitiveness in the international market, a system of cotton-textile clusters is being introduced. These clusters are important for ensuring the continuity of production, reducing costs and expanding the possibilities for producing value-added products. At the same time, the problem of effective management of production reserves in cotton-textile clusters remains one of the pressing issues. Optimal maintenance of reserves of raw materials, finished products and other resources plays an important role in ensuring the stability of the production process. Excessive accumulation of reserves can increase production costs, and their shortage can negatively affect the continuity of production. Clustering theory was first developed by Porter (1990), who considers clusters as a means of increasing regional economic growth and competitiveness. Based on this concept, many researchers (Ketels, 2003; Enright, 2000) have studied the effectiveness of the cluster model and its impact on industrial sectors. Studies on cotton-textile clusters in Uzbekistan (Muminov, 2019; Rakhimov, 2021) emphasize that the effective functioning of clusters is closely related to the proper management of production resources. The theoretical foundations of inventory management are based on the classical (Wilson, 1934) EOQ model and modern Just-in-Time (JIT) and Material 66 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference Requirements Planning (MRP) systems. Research on inventory management in the textile industry (Chopra & Meindl, 2016; Christopher, 2011) shows the importance of determining the optimal inventory level for the effective operation of the logistics chain. Research on this topic in the Uzbek economy (Karimov, 2020; Ismoilov, 2022) considers areas for improving the efficiency of inventory management in local manufacturing enterprises. Logistics networks and supply chain management are important for ensuring the efficient operation of the production process. Researchers such as Ballou (2004) and Lambert (2008) have studied the strategic aspects of logistics and analyzed its impact on inventory management. Although supply chain problems and their solutions in the textile industry (Ferdows, 2008; Gattorna, 2015) have been widely studied globally, there is still a lack of scientific research in this area in Uzbekistan. Also, the coordinated work of cluster enterprises in the logistics network plays an important role in ensuring the stability of the production process. Domestic and foreign studies have proposed methods for optimizing production inventories. Simchi-Levi et al. (2008) emphasize the need to use information technologies for supply chain efficiency. Domestic researchers (Turayev, 2021; Rasulov, 2023) emphasize the possibility of improving inventory management through digitalization in cotton-textile clusters in Uzbekistan. The analysis of the literature shows that the problem of managing production reserves in cotton-textile clusters is scientifically relevant, and its effective solutions serve to ensure the continuity of the production process, reduce costs, and increase the competitiveness of clusters. This study proposes to develop a scientific and methodological basis for adapted reserve management for cotton-textile clusters based on existing theories and approaches. The study was conducted based on a combination of qualitative and quantitative analyses. The qualitative analysis studied existing scientific literature, national and international experiences related to the activities of cotton-textile clusters. The quantitative analysis assessed the effectiveness of production resource management based on statistical data and economic modeling. The study focuses on the activities of large cotton-textile clusters in Uzbekistan, and the empirical results allow us to draw conclusions for the sector as a whole. However, the study has the following limitations: 67 ACADEMIC RESEARCH IN MODERN SCIENCE International scientific-online conference - The completeness and relevance of data depends on the availability of statistical databases. - The management strategies of different clusters ma