Modern logistics systems for auto parts supply

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Бобоев, К. (2023). Modern logistics systems for auto parts supply. Направления развития благоприятной бизнес-среды в условиях цифровизации экономики, 1(02), 34–36. https://doi.org/10.47689/TSUE2022-pp34-36
Кадрхужа Бобоев, Ташкентский государственный экономический университет

Заместитель декана, PhD

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Аннотация

The thesis discusses new expansions in the development of logistics and approachesto industrial growth during the evolution from a linear to a circular economic model. Itshows how processesin production systems, logistics and services are organized and play a role in driving sustainable green growth.


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MODERN LOGISTICS SYSTEMS FOR AUTO PARTS SUPPLY

L Kadrkhuja Boboev,

Deputy dean, (PhD),

Tashkent State University of Economics

Abstract.

The thesis discusses new expansions in the development of logistics

and approaches to industrial growth during the evolution from a linear to a circular

economic model. It shows how processes in production systems, logistics and services

are organized and play a role in driving sustainable green growth.

Keywords:

current trends, logistics, spare parts, globalization.

Modern trends in automotive industry show that to ensure the

competitiveness of business it is necessary to have a developed logistic system.

Such system is a basis for interaction between production and service systems in

implementation of principles of circular economics and green technologies. If it

concerns the organization of effective delivery of spare parts, firstly such tasks, as

the choice of delivery mode, transportation mode, as well as the best route

selection should be considered and solved. Since transportation of automotive

spare parts is a very complex process, decisions are often made under condition

of incomplete information. In order to identify all significant factors, the complete,

relevant and adequate information, as well as the application of tools and
methods of its processing and analysis is needed. Multicriteria analysis methods,

online analytical processing technologies, simulation, as well as the elements of

situational management have to be used to make final managerial decision. In

addition, since any error in supply chain management can lead to financial, time

and other losses, methods of risk analysis and management have to be used.

Managerial decisions in complex systems must be comprehensive, consistent and

scientifically based. Therefore, it is proposed to create a Decision Support System

(DSS) consisting of modules, each of which will perform its function using all of

the above methods. In developing acceptable variants of logistic chains, Vehicle

Routing Problem takes an important place. It is especially important in transition

to green logistic, because in this case factors that influence on ecological situation
are also added to a wide range of factors that need to be considered when routing

and scheduling. In various studies, such factors as speed, weighted load, traffic

load on the route and their complex influence on different objective functions

(apart from such usual ones as logistics operating costs and transportation time):

either fuel consumption, total CO2 emissions, or their combi-nations were

considered. The paper provides decision support methodology that unites

network science, green logistics and transportation accessibility research. A

detailed presentation and description of studies that consider the problem of


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“green”

vehicles routing can be found in the research. In planning spare parts

delivery reasonable transportation mode selection is a priority task. The authors

of the article have considered such alternatives as rail, truck and air mode of

transport, but this study does not consider the possible options for intermodal

transportation. At the same time, globalization lengthens supply chains so that

companies tend to expand their production patterns offshore or source from

more distant locations, the use of intermodal transport can provide cost effective

solutions for long distance transport needs of supply chains, as well as for reverse

logistics. Moreover, the use of terminal transportation will reduce overruns and

minimize concentration of harmful emissions along the main roads due to

breaking up the delivery lots into smaller units. Intermodal transportation can

ensure the benefits of each mode of transport used in supply chain. However, in

this case companies face such problems as lack of coordination at various

intermodal transfer points, causing delays. That is why intermodal technologies

not only include physical movement and terminal handling technologies but also

cover information and communication technologies required for coordination.

Moreover, the use of different modes of transport for one shipment requires

technical solutions for fast transfers from one vehicle to another. There are

several different technologies for solving this problem. They are containerization,

swap bodies, the so-called KAMATEYNER (project of the plant KAMAZ), etc. The

widespread of the Internet of Things and additive technologies can make

significant changes both to production logistics and to supply chain management.
According to Gartner Inc. (NYSE: IT), a leader in the sphere of information

technologies researches, the impact of Industry 4.0 on supply chain management

will subsequently show itself in four key aspects:

creation of intelligent factories (production) based on flexible automated

processes. Such enterprises will be integrated with each of

stakeholders’

groups

and will cover each of the stages of product life cycle;

virtual production on the basis of Internet of Services, requiring the

creation of new business models, changing the existing design of supply chains;

predictive analysis based on Big Data, which will allow flexibly managing

all the processes, not just the production lines themselves;

usage of intelligent production, in which the complexity of machines and

technologies will require focusing on

employee’s

knowledge, skills and

engineering excellence at every stage of supply chain.

Identification of inventory items, which makes it traceable in the

production process and the entire supply chain, is the most important task of

Industry 4.0. This allows determining the responsibilities of each participant of

supply chain and production process, as well as ensuring return or recall defect

product. Another opportunity to satisfy the increasing demands of consumers for

environmental friendliness and

product’s

safety is reliable and objective


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information on the origin of components (raw materials) and its constituents,

which can be implemented using

“smart

chips”.

Thus, according to all forecasts

and estimates, the impact of neo industrialization on supply chain management

and logistics as a whole will be very significant.

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