Application of Transport Model in Warehouse Logistics
MAGAZINE №1(84) February 2018
AUTHOR Kuznetsov V.O. - Postgraduate student, Department of Logistics and Supply Chain Management, National Research University Higher School of Economics (St.-Petersburg, Russia)
CATEGORY
ABSTRACT
On the one hand, the relevance of this research is determined by an attempt of solving the problem of optimal inventory allocation, which can open the possibilities for increase in stock turnover. On the other hand, there was an attempt to extend the list of problems which can be solved by operations research methods. The potential of application of operations research methods (transport model as a specific case of linear programming, in particular) is underestimated. According to Taha [2011], a transport model is a problem of finding optimal allocation of homogeneous objects from accumulators to receivers with minimizations of costs on displacement or movement. In our opinion, the canonical form of a transport model represents accumulators as points of departures, receivers as clients and cost on displacement as transport costs. The paradigm of using this model is constrained by using the latter in transport logistics only. In fact we can apply this model in much more problems (micro, meso or macro level). This study shows that objects and variables from the canonical transport model can be represented as objects from different fields (beyond logistics) thus helping to find an optimal solution to a certain problem. Our study represents accumulators as nominal cells where work-in-process (WIP) product is in the warehouse, receivers - as production lines and costs on displacements as mileage of loaders. Thus, the cost function Z that we want to optimize is the function of mileage of loaders. Minimizing function Z will enable us to find the optimal allocation of WIP products to production lines (next production stage)
Keywords:
Oil and Gas Construction Logistic Optimization through the Choice of Supply Chain Model
MAGAZINE №1(84) February 2018
AUTHOR Korneeva O.N. - Marketing director, LLC PayOnline (Moscow, Russia)
CATEGORY Transportation in logistics Analytics and reviews Industrial companies’ corporate logistics
ABSTRACT
One of the significant conditions of oil and gas industry development is the steady sale of production including its cheap and reliable transportation to the consumer. Taking into account the fact that oil and gas are used primarily in the energy sector, the reliability of supplies is in priority. This determines construction and development of the pipeline network as the most efficient way to deliver hydrocarbons to customers. But due to remoteness of the construction site from suppliers such activities are connected with a number of difficulties. In addition, this process includes development of new territories characterized by unique natural, climatic, geographical, demographic, environmental and other factors that impose additional requirements and complicate the project logistics, contributing uncertainties affecting the project time frame and budget.
This article discusses the methodology of sequential optimization of construction logistics of the main gas pipeline. Considerable attention is paid to mathematical modeling and selection of a supply chain management model. A substantial part is devoted to practical modeling of transport logistics supplying a large-diameter pipe to the head section of the "Siberia Power".
The work shows that according to the results of the analysis and supply chain modeling, it is possible to optimize the logistics budget of the construction site by 10% of the total logistics costs of the project. Also, the article highlights the importance of the risk component caused by the peculiarities of each individual construction site and uncertainty factors that can vary at different stages of the project in different ways, which makes it impossible to use linear dependencies for their forecasting and leads to a spasmodic increase in risks. So, one of the few effective methods for predicting deviations is a scenario analysis based on a multifactor model.
Keywords:
Transformation of Logistics in Network Economy
MAGAZINE №3(86) June 2018
AUTHOR KALUZHSKY M.L. - Cand.of Phil. Sc., Assistant professor, Faculty of Economics and Management, Omsk State Technical University (Omsk, Russia)
CATEGORY Analytics and reviews Modern concepts and technologies in logistics and SCM Supply chain management
ABSTRACT
The virtualization of the market has provoked a change not only in the market environment, but also in the institutions of logistics and other applied disciplines (marketing, management, etc.). These changes are global in character, determining the institutional transformation of markets, regardless of the participants’ and regulators’ will . Their appearance is due to external causes, so they are difficult to interpret within traditional endogenous methodology of logistics management. Therefore, the exogenous approach was used as a methodological basis for the study. The object of analysis was the production of consumer goods as the primary source of network commodity circulation and associated logistics processes.
In the network economy, logistics has become one of the most transformable spheres of economic activity. Today, the theory lags behind practice. Logistical innovations spontaneously arise under the influence of consumer demand and market conditions. They underlie the competitive advantages of market leaders, but only become common property after the loss of their innovativeness. Then the secrets of market leaders are revealed, spread and innovations become part of the theory.
The main result of the study is the justification of the thesis that in the virtual market conditions the priorities of logistics management are fundamentally changing. Consumers from an object of market influence are transformed into its subject, taking away this role from sellers, defining parameters and setting the framework for market offers. The logistics model, in which the logistics chain triggers a management decision, gives way to a model where consumer demand is the source of the launch of logistic processes. Four key factors determine the institutional transformation of logistics: virtualization of markets, transactional competition, sales customerization and logistics providers. The new reality requires a revision of the fundamentals of the theory of logistics. This is due to the fact that in institutional practice, institutional changes already determine the competitiveness of the subjects of the virtual market.
Keywords:
Design of Efficiency Index Complex for Transportation in Supply Chains
MAGAZINE №3(86) June 2018
AUTHORS
CATEGORY Analytics and reviews Controlling Transportation in logistics
ABSTRACT
Transport efficiency assessment today is an important issue of modern logistics management. According to the summarizing of different literature sources, transportation occupies the biggest part of total logistics costs. The challenge of designing efficiency transportation indices deserves special attention. Hereby some questions still need consideration, such as what an assessment system should look like? What issues should be considered while conducting analysis of transportation activity? Is there any complex of assessment indices that could be proposed? The article attempts to answer all these and other questions of logistics management based on works of Russian and foreign researchers. The article will be useful for scientists and specialists dealing with efficiency assessment issues
Keywords:
Big Data Analytics in Logistics and Supply Chain Management
MAGAZINE №3(86) June 2018
AUTHORS IVENIN R.E. - expert, Logistics Network Development, SIBUR (Moscow, Russia)
CATEGORY Analytics and reviews Information technologies in logistics and SCM
ABSTRACT
Nowadays, it is necessary to capture accumulate, analyze and manage a huge amount of data while managing logistics processes. However, the world’s amount of data is generated with an exponentially growing pace and current IT tools are becoming inadequate. To solve potential problems, the Big Data concept was created. The idea is to accumulate, store, analyze and manage the amount of data that significantly exceed the functionality of traditional systems. The article touches upon the definition of Big Data and Big Data Analytics, which include modern techniques for processing big data sets to search for hidden pattern which allow making better decisions and improve business efficiency. In addition, the article examines the main approaches to the systematization of types of analytics and analytical techniques used to process data and generate conclusions for decision-makers. The author considers the influence of different cases on processes in supply chains. However, despite the benefits already achieved in the implementation of Big data processing technologies, further development of the implementation methodology is required.
Keywords:
Supply Chain Management - Trends in Technology and Management for 2020 and Beyond
MAGAZINE №3(86) June 2018
AUTHORS EICHSTADT T., FROLOVA K.S., SHESTOVA D.A.
CATEGORY Analytics and reviews Modern concepts and technologies in logistics and SCM Supply chain management
ABSTRACT
One of the greatest challenges for middle and top management is to know where and when to invest in new technologies. This problem is even more complicated for supply chain managers as their decision will directly affect the way the company’s products are moved down the chain to the final customer.
The following article has been prepared to provide supply chain managers in the fields of retail, automotive, electronics, consumer goods and food supply, among others, with
an overview of the trends expected to have the greatest impact on the logistics industry between now and 2025. The article is based upon an extensive meta-analysis of over 70 studies on technology trends and a broad survey of experienced supply chain management professionals. In addition to a broad ranking of trend importance it will look in depth at the four key trends of logistics development: Omni-Channel Logistics, Segmentation, Big Data Management and the Internet of Things.
According to our findings, these four trends are likely to have a greater influence on resource allocation decisions than other trends also predicted to affect the industry, such as drones, blockchain and radio frequency identification. Coupled with the growth of these trends is an expected increase in demand for qualified IT staff who can provide technological infrastructure to drive competitiveness in these four core areas.
The issue of resource allocation will continue to play an essential role as the industry moves forward in the age of e-commerce, cloud-based systems and real-time tracking.
Our goal in this paper is to therefore provide managers with a concise overview of logistics trends expected in the near future as a means to assist in decision-making processes.
Keywords:
Transport and Logistics System of Moscow Agglomeration: Analyzing Current State and Future Perspectives
MAGAZINE №5 (82) October 2017
AUTHORS DOMNINA S.V., LEVINA T.V.
CATEGORY Global logistics projects Logistic infrastructure Transportation in logistics Megapolis logistics Analytics and reviews
ABSTRACT
The topicality of the paper is defined by the world trends of economic development accompanied by the growth of urban population and the formation of agglomerations. Moscow agglomeration has a leading development potential among others.
Uncoordinated and unbalanced policies of various government agencies and monopolies as well as business structures can lead to irrational expenditure of investments and negatively affect the public interests: environment, level of prices for consumer goods and services, level of service, imbalance of labor market, aggravation of problems related to the labor migration. In long-run perspective it may lead to a slowdown or even a reduction in the gross regional product.
The article considers main stages of urbanization, models of urban environment development (functional distribution of infrastructure), spatial development of agglomerations (mono- and polycentric agglomerations), and main risks associated with the development of Moscow agglomeration according to the adopted model.
The work focuses on the necessity to clarify the boundaries of the Moscow agglomeration when the interests of nearby territorial entities are under consideration and projects of logistics and manufacturing infrastructure development are planned.
Based on the program and reports it was evaluated the effectiveness of remedies to develop Moscow agglomeration implemented by state and municipal authorities. As well, it was analyzed the potential impact of remedies on the interests of industries and social spheres that are related to the implementation of these projects.
In particular, it is shown the data on the level of development and geographical distribution of regional warehouse infrastructure, the provision of freight rail infrastructure, the problem with staffing issues in the logistics sector and the migration situation in the Moscow region.
The conducted research confirms the necessity to elaborate transport and logistics system in Moscow agglomeration taking into account all risks associated with side-effects of the program.
There are some key conclusions are received in the article among which: 1) it is required to coordinate programs on the level of the whole agglomeration and industries whose performance indicators reflect the decisions made; 2) the transport and the logistics system of Moscow agglomeration should be developed taking into account all risks associated with the side-effects of the program; 3) the second proposition can be realized via the creation of a center responsible for the development of various agglomerations; 4) the center mentioned in the point three should include not only state and municipal authorities, but also science and business in order to coordinate programs at different levels, provide methodical support and collect data which will be used to monitor and evaluate the effectiveness of projects.
Keywords:
Blockchain Technology in Logistics: Digitalization and Prospects for Implementation
MAGAZINE №6 (83) December 2017
AUTHORS
UKRAINTSEV V.B. - Doctor of Ec.Sc., Professor, Head of State, Municipal Administration and Economic Security Department, Rostov State University of Economics (Rostov-on-Don, Russia), Director of the Representative Office of Vnesheconombank in the Southern Federal District (Rostov-on-Don, Russia)
AKHOKHOV A.M. - Graduate student, Specialist, Rostov State University of Economics (Rostov-on-Don, Russia), The Control and Audit Department in the field of national security, law enforcement and the judiciary, Administration of the Federal Treasury in Moscow (Moscow, Russia)
CATEGORY Analytics and reviews Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM
ABSTRACT
Modern world governmental institutions and business environment strive for comprehensive and complex development. Thus, it is becoming more evident that activities of our society require implementing new technologies such as digital economy. Logistics, being a complex and multistage process hugely intervening into modern market relationships, requires constant evolution so that it could bring more efficiency into business and economic processes. IT technologies and Internet have a chance to become one of the sources of such transformations. In particular, implementation of the blockchain technology into logistics may give an impulse to achieve goals set by the government. The article covers such topics, as historical development of logistics, general steps of logistics development, application of blockchain technology, issues associated with implementation of blockchain technology into logistics processes. The main goal of this research is to analyze opportunities for implementation of blockchain technology into logistics in Russia and prospects of further economic and business processes digitalization. Moreover, in the framework of digital economy blockchain technology in logistics can enable the world to reach transparency and security.
Keywords:
Prospects of Digital Logistics and SCM Development in Russia and the Role of HSE School of Logistics
MAGAZINE №6 (83) December 2017
AUTHORS SERGEEV V.I.
CATEGORY Analytics and reviews Education in Logistics and SCM Information technologies in logistics and SCM Modern concepts and technologies in logistics and SCM
ABSTRACT
The article reveals the problems of implementing in Russia the technological platform “Digital SCM/logistics” which is an indispensable part of digital economy model being currently created in Russia. The article looks at the main problems, prospects and obstacles preventing the formation of Digital SCM/logistics. Overwhelming analysis of functionality of digital SCM/logistics is provided with such parts of the latter as Big Data, IoT, Blockchain technology, Cloud service, e-SCM, 3D Printing and others. Functional organization model of competence Centre of competence in the field of Digital SCM/logistics as a basis for technological platform construction in Russia is given. The role of HSE School of Logistics and International Centre of Logistics in creating and development of digital logistics/SCM is shown. The academic staff’s best practices of scientific project capacities concerning Digital SCM/logistics issues of academic staff are introduced.
Keywords:
Using Apparatus of Stochastic Petri Nets when Controlling Logistics Systems Parameters
MAGAZINE №6 (83) December 2017
AUTHORS PETROVSKIY D.V., KOKURIN D.I.
CATEGORY Analysis in logistics and SCM Simulation modelling
ABSTRACT
The article considers the use of the apparatus of stochastic Petri networks during supply chain analysis. The main object of the analysis is the storage and production modules and their interaction with other elements of the system. First, the logistical system under consideration was represented in the form of a stochastic Petri network, then two models of one system with different initial conditions were created with the purpose of their behavior analysis and comparison. Analysis of the results of the models was carried out by two methods: the construction of an analytical model of the Petri net; simulation of the model work during a specified period. In addition, the paper deals with the problem of exponential explosion; the dependence of the number of the system possible conditions on the change of its parameters is shown. As a result, it was shown how the behavior of the system depends on the change in the product delivery time and what period is critical for the production deficit.
Keywords:
