MAGAZINE  №3 (98) June 2020

AUTHORS KOLOSOV A.M.

CATEGORY  Information technologies in logistics and SCM Simulation modelling Sourcing

 

ABSTRACT

The economic feasibility of using Blockchain technology in procurement procedures still raises a number of questions for managers and employees of companies that plan to implement this technology to solve the problems of departments involved in procurement activities. A number of Russian and foreign works devoted to application of Blockchain technology in the given direction in any way do not touch a question of economic substantiation of using this technology, though point at perspective of its application. The work reviews existing information decisions on the basis of Blockchain technology in the field of logistics and supply chain management and calculation of economic efficiency of Blockchain technology use at carrying out purchasing procedures by means of simulating the modeling process of purchases in AnyLogic software environment.

 

 Electronic version

 Keywords: Blockchain smartcontract procurement sourcing information technology simulation simulation modelling simulation model AnyLogic

Published in Sourcing

MAGAZINE  №5 (94) October 2019

AUTHORS  VERKHOVSKAYA M.V., KONOTOPSKY V.Y., MENSHIKOVA E.V.

CATEGORY  Simulation modelling Inventory management

 

ABSTRACT

 The method of numerical simulation is used to study the effect of parameters of a simple discrete flow of inventory through a logistic three-level distribution system, as well as the parameters of the system itself, on the universal characteristics of its efficiency — relative levels of current stocks in the system and deficit indicators for end users. By flow parameters we mean the level of its power and its variation; under the system parameters - the type of applied inventory management (IM) model and the speed of reaction to the requirements for the supply of the next batch of inventory. The flow of consumer requirements arriving at the lower level of the system and causing inventory movement through the system corresponds to the Poisson law. Four basic ultrasound models IM are tested, and in each case the same model is used at all levels of the system. As a result, we obtained the corresponding number (total - 66, given in article - 22) of the experimental dependences and the regression equations adequate to them. Their brief interpretation is given from the point of economic aspects of distribution logistics. Conclusions are drawn regarding the nature of the use of the identified dependencies and the directions for further research on this issue. The study (its object and applied technologies) is not strictly tied to either a specific area of logistics (trade, industry, logistics services, etc.), or to the hierarchical level of the object of modeling (industry, distribution company, a single-plant enterprise, a production association, a large production unit, etc.).

 Electronic version

 Keywords:  inventory management distribution systems multilevel distribution systems simulation simulation modelling integrated logistics material flow Stochastic efficiency assessment

Published in Simulation modelling

MAGAZINE №5(88) October 2018

AUTHORS 

NIKOLAEVSKIY N.N.

GRIGOREV M.N. - Cand. of Eс. Sc., Associate professor, St. Petersburg State University of Economics (St. Petersburg, Russia)

CATEGORY Analytics and reviews Information technologies in logistics and SCM Simulation modelling

ABSTRACT

The results of the information technologies intensive development and implementation processes, recently defined as digitalization, were the basis of the significant changes in the domestic economy. At the same time, it is important to understand that digitalization process require an appropriate response in order to create an environment, which promote to development of strategically valuable economic sectors, include the industrial manufacturing. These circumstances determined the motivation of implementing at the state level such programs as the Digital Economy and the National Technological Initiative, that are aimed at creating conditions for the development of industry in the context of the digitalization.

Focusing on the logistics systems and industrial enterprise supply chains functioning processes, it is important to note, that new opportunities are opened due to development and implementation of information technologies in the economy digitalization context. These opportunities consist in the exchange of information between the individual production, logistics and auxiliary systems and their elements, as well as the products and the external environment, which in general will allow forming big data sets. Herewith, the result of processing the relevant data sets will form basis of the continuous improvement processes through self-organization and self-decision by the active system components.

At the initial stages of the study, a literature overview was done in the field of logistics system organizing within the contemporary concepts of industrial production development, including the Industry 4.0 concept. This has shown that on the one hand, there is a significant impact of digitalization processes on the organization and functioning of logistics system, but on the other hand, there is a lack of methodological developments in the area of these systems design.

For this reason, it is important to investigate the development of instruments for justification of logistics processes functioning characteristics within digitalization context. For this, a generalized structure of the digital logistics system was offered and the requirements for the functioning processes were determined. Taking into account a special aspects of this structure and functioning requirements, we offered to use simulation modeling tools in the organizational design problems. It is proposed to use traditional paradigms of simulation, which include discrete-event and agent-based modelling. On a separate note the possibility of applying the approach at the junction of these two paradigms, which implying the use of their main advantages: using the discrete-event modeling in the simulation of functioning process where the logistics system is describes as the multi-agent environment. 

 Electronic version

 Keywords:  

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