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SCIENTIFIC-METHODOLOGICAL BASES OF PRODUCTION
RESOURCE MANAGEMENT IN COTTON-TEXTILE CLUSTERS
Nasimov Baxtiyor Vasiyevich
First Vice-rector for Youth Affairs and Spiritual and Educational Work of the
Tashkent Institute of Textile and Light Industry, PhD, Associate Professor
E-pochta: b.nasimov@ttysi.uz
https://doi.org/10.5281/zenodo.14997422
Abstract
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
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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:
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- The completeness and relevance of data depends on the availability of
statistical databases.
- The management strategies of different clusters may differ from each
other, which makes it difficult to propose a single approach.
The results of this study will serve to develop scientific and practical
recommendations for improving the management of production reserves in
cotton-textile clusters. The results of the study can be used to develop measures
aimed at ensuring the sustainable development of the industrial sector, reducing
costs, and increasing the continuity of the production process.
In order to improve the efficiency of the process of managing production
reserves in cotton-textile clusters, its current state is analyzed, the main
problems and ways to eliminate them are identified. As part of the study, the
activities of several large cotton-textile clusters in Uzbekistan were studied and
the impact of reserve management on economic indicators was assessed.
The management of production reserves in cotton-textile clusters in
Uzbekistan was analyzed through the following key factors:
- Raw material reserves - the efficiency of storing and supplying raw cotton
to the production process.
- Semi-finished products and finished product stocks – the planned quantity
of textile products at the production stages and their compliance with market
demand.
- Logistics system – optimized routes for the delivery and distribution of
supplies.
The results of the analysis showed that the problematic aspects of
production inventory management in clusters are:
- Excessive storage costs are increasing as a result of the overaccumulation
of inventory.
- Due to poor coordination in the supply chain, some clusters are
experiencing shortages of raw materials or finished products.
- Innovative management mechanisms that take into account the real and
planned demand for reserves have not been sufficiently implemented.
The study analyzed the economic performance of 10 large cotton-textile
clusters in Uzbekistan for 2020–2024.
The results of the correlation-regression analysis showed the following:
- Optimization of raw material stock levels has increased production
efficiency by 15-20%.
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- Poor inventory management increased production costs by an average of
8-12%.
- Product delivery times have been reduced by 25% in clusters that have
implemented innovative logistics technologies.
Based on econometric modeling, it was found that the use of the Just-in-
Time (JIT) system in the production process can reduce inventory levels by 30-
35%. It was also noted that the introduction of the Material Requirements
Planning (MRP) system can ensure the continuity of the production process.
Based on the results of the analysis, the following recommendations were
developed:
- Implementation of a digital reserve management system – using artificial
intelligence (AI) and IoT technologies for real-time reserve monitoring and
forecasting.
- Optimization of logistics processes - planning product movement routes
through an automated system and strengthening the supply chain.
- Setting reserve standards – reducing costs by setting minimum and
maximum reserve quantities in accordance with production volume.
- Widespread implementation of JIT and MRP systems for cotton-textile
clusters - ensuring continuity of the production process and increasing
inventory efficiency.
The results of the study showed that innovative approaches to managing
production reserves in cotton-textile clusters can increase production efficiency,
reduce costs, and strengthen the competitiveness of clusters. The sustainable
development of clusters can be ensured by introducing digital technologies and
modern logistics systems.
The results of the study showed that improving the production inventory
management system in cotton-textile clusters in Uzbekistan is of great
importance in increasing economic efficiency. Optimal management of raw
materials, semi-finished and finished product inventories in the production
process serves to ensure the sustainable development of clusters. The study
identified the following main conclusions:
1. The inventory management system in cotton-textile clusters is not
sufficiently optimized, which leads to increased production costs and inefficient
use of resources.
2. Over-accumulation or shortage of reserves negatively affects the overall
economic efficiency of clusters.
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3. The use of modern logistics and digital control technologies is
underdeveloped, which limits the ability to ensure the continuity of the
production process.
4. Econometric analyses have shown that by introducing modern systems
such as Just-in-Time (JIT) and Material Requirements Planning (MRP) into the
production process, production costs can be reduced by 8-12%, and the product
delivery process can be accelerated by 25-30%.
By improving the scientific and methodological foundations of production
resource management in cotton-textile clusters, the competitiveness of clusters
will be increased. As a result of the implementation of modern economic and
digital management approaches, production processes will be optimized, costs
will decrease, and product quality will increase. The results of the research will
serve to further develop the industrial sector and expand the possibilities of
efficient use of resources.
References:
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further improve the activities of cotton and textile clusters". - March 10, 2021,
No. PQ-5023.
2. Resolution of the Cabinet of Ministers of the Republic of Uzbekistan on the
"Program for the Development of the Textile and Garment Industry for 2023–
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5. Christopher, M. (2016). "Logistics and Supply Chain Management" (5th
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11. World Bank Report (2022). "Cotton and Textile Industry Development in
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