Using an adapted Zachman framework for Enterprise Architecture in the development of an industry methodology of Integrated Supply Chain Planning
Trends in the digitalization of business open up opportunities for the use of fundamental approaches to the development of enterprise architecture in the creation of appropriate methodologies. The article discusses the approach to the use of adapted Zachman framework for enterprise architecture as a basis for the systematization and structuring of the industry methodology of integrated supply chain planning based on SCOR model. A practical example of using the proposed approach for description of one of the target processes - tactical supply chain planning is considered.
It is concluded that taking into account the ongoing trend in the digitalization of business, including in the field of integrated supply chain planning, the use of an adapted Zachman framework for enterprise architecture allows solving an important scientific and economic problem of systematization and structuring of industry methodologies.
This paper proposes a risk-aware approach to tactical supply chain planning based on integration of mathematical programming and simulation. A prototype planning system implementing this ap-proach is described. The prototype is developed using Anylogic simulation software and an open source mixed integer optimization tool – GNU Linear Programming Kit (GLPK)
The article shows that Supply Chain Management is an active organization and a current mobilization of value chain to raise contracting parties’ competitiveness. The author analyzes three main groups of decisions (stages in strategic supply chain planning): Supply Chain Design (SCD), Supply Chain Planning (SCP), Supply Chain Operations (SCO). A general outline of strategic decisions realization in supply chains based on a successive principle is suggested: understanding a customer and vagueness of a supply chain; understanding supply chain opportunities; achieving strategic conformity. The author determines areas of strategic conformity in two spectrums of a coordinate: an assumed vagueness of demand and “reactivity/effectiveness” balance of supply chains.
The paper contains the results of the study on the systematization and formalization of specialized approaches to planning supply chains of leading metal companies and comparison of these practices with the standard supply chain management models SCOR & CCOR & DCOR and GSCF. The paper defines the main directions of development of the methodology of supply chain planning in terms of its adaptation to the specifics of metals.
EuroSymposium is already in its 12th edition. This cyclical, annual event has been changing and extending its thematic scope in accordance with the rapid progress being made within the field of Information Systems knowledge and applications, with its currently emerging areas, in the era of the digital transformation. The new topics fall within the sphere of social networks analytics, mobile systems, Internet of Things, Big Data, Machine Learning, Industry 4.0, User Experience, and several others. All of them have the strong influence on the EuroSymposium subject matter, changing it fundamentally as compared with the first EuroSymposia. The objective of the SIGSAND/PLAIS EuroSymposium 2019 is to promote and develop high-quality research on all issues related to research, development, applications, and education of Information Systems (IS), often referred to in Europe as Business Informatics. It provided a forum for IS researchers and practitioners in Europe and beyond to interact, collaborate, and develop this field. The EuroSymposia were initiated by Prof. Keng Siau as the SIGSAND – Europe Initiative.
The paper analyses the demand planning process from supply chain management perspective. The place of the analyzed process in SCOR and GSCF models is investigated. Main steps of the process are clarified: analysis and preparation of historical data; statistical forecasting; manual expert correction of the forecast; forecast verification and confirmation; quality monitoring of forecast and process. Approaches to process data organization are investigated; terminology in this area is presented. The key forecasting methods are analyzed including: qualitative/subjective, cause and effect, time series. Key forecasting models for demand planning in supply chains are systemized. The importance of the quality monitoring of forecasts is highlighted. Main methods of determination of exceptional situations are presented. Key requirements for informational systems of demand planning are formalized. Overview of popular software tools for demand planning is presented.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.