Верификация требований к имитационной модели производственного предприятия
Developing variants of scenarios for a production enterprise’s achieving a desirable fi nancial
position using simulation modeling tools requires a specifi cation and verifi cation of requirements for
the simulation model. Availability of such variants of scenarios allows stakeholders to select the most
effi cient solution. The verifi cation is performed by business analysts and key stakeholders; the aim is
to assess readiness of the requirements for fi nal approval and to check that the requirements provide
all material information for future work. Verifi cation includes evaluating the requirements regarding
their compliance with the company’s business analysis standards, as well as assessment of the model’s
completeness and common terminology used for description of the requirements. Understanding the
desired solution, which meets all the stakeholders’ requirements, is the most important element in
requirements verifi cation.
For developing a simulation model, which is essential for determining variants of development
scenarios and covers fi nancial fl ows of a typical production company, a list of verifi ed requirements
is determined. Criteria of requirements verifi cation include not only acceptance criteria, but also
the Graphical Requirements Analysis framework (GRA framework), that is used for verifi cation of
functional requirements. The verifi ed requirements should be used at diff erent stages of constructing the simulation model, which is focused on development of scenarios for achieving the production enterprise’s desired future
fi nancial position. Modeling scenarios of future development of the types “what will happen, if…?”
and “what to do to achieve the goal?”, using simulation modeling systems allows one to dramatically
increase the quality of decision making.
In universities and technical colleges with relevant IT qualifications in one semester multiple streams, courses and specializations can use software products for training purposes. IT services of universities should deal with the challenge of creating the infrastructure of educational applications that can support the educational process. We note that the number of specializations which study information technology are growing every year (for example, in HSE there are disciplines-minors, which can enroll students coming from any field). Also in the recent years, online courses have started to become popular. If the load is not planned ahead taking into account future trends, the power of even the most high-tech infrastructure will be insufficient. Calculation of the corresponding load on the infrastructure must be made in the planning process of the disciplines, so that we can reserve appropriate facilities, and thus organize an effective learning process.
Software developers use a variety of benchmarking tools that are complex and do not provide the necessary information for the participants of educational process planning.
This article discusses the construction of a simulation model that supports the educational process planning. The simulation is carried out using the capabilities of the tool AnyLogic 7. The aim of this work is to develop a simulation model designed to estimate the load on the information system used in the educational process. In addition, besides the description of the model, the article presents the results of calculations used for various options of the information system (private cloud or on a server at the university). The simulation results were confirmed by data obtained during practical classes at the university. This model gives us the opportunity to plan the educational process in order to achieve uniformity of the load on the services. If necessary, the model allows us to make a decision about the location of the educational information system: on servers of the university or in a private cloud.
The paper analyses the effectiveness of the scenario analysis and modeling methods for solving the planning and operational control problems of in the processes of prevention and elimination of the causes and effects of man-made disasters, industrial catastrophes and emergencies. The scenario approach belongs to a class of object-oriented methods used to represent information about the state of a plant and an environment, which is necessary to generate control actions for the rescue measures and activities, as well as disaster management. The main feature discussed in this paper is a class of industrial safety management tasks based on the scenario approach which have to be developed as well as the general normative framework that allows to fundamentally change the approach to building models of an emergency. The research shows that in this case the procedure of forming the base model using a comprehensive analysis of existing technical regulations, norms and standards were quite effective. The results of modeling and scenario analysis of the processes, elimination of technological accidents consequences on transport infrastructure of metropolises are presented in the paper.
In the paper simulation models of some common types of traffic accidents are proposed. Automobile-pedestrian accident on unregulated crosswalks with one or two lanes. Statistical modeling the probability of these road accidents occurrences was implemented. The dependences of the probability of occurrence automobile-pedestrian accidents on various parameters of road systems were described.
Dependence of the integral evaluation of the human-machine system quality from the parameters of the operator labor organization is modeled based on a simulation model. The simulation model describes employee activities in the form of sequences of work and rest intervals. It is obtained the family of dependencies curves of private quality indicators and integrated assessment of the human-machine system quality from the number of rest intervals at different values of the initial work activity, the intensities of fatigue and recovery of operator.
M.Krechetova and G.Satarov continue the line of reasoning laid out in their article "Power and Violence (Russian Case)" and attempt to reconcile their thoughts with the current political situation in Russia and the results of scenario forecasting analysis that they carried out in Spring 2016. The study shows that Russia is moving a way from the inertial scenario, which seemed most likely only six month ago, towards the scenarios of a "Besieged fortress" and "Explosion" that imply an increase in physical violence.
In this paper we consider choice problems under the assumption that the preferences of the decision maker are expressed in the form of a parametric partial weak order without assuming the existence of any value function. We investigate both the sensitivity (stability) of each non-dominated solution with respect to the changes of parameters of this order, and the sensitivity of the set of non-dominated solutions as a whole to similar changes. We show that this type of sensitivity analysis can be performed by employing techniques of linear programming.
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 manual is intended for students of Department of computer engineering MIEM HSE. In the textbook based on the courses "Economics of firm" and "the development strategy of the organization." Discusses the key conceptual and methodological issues of the theory and practice of Economics and development planning of the organization. The use of textbooks will enable students: to analyze key performance indicators, and use the tools of strategic analysis with reference to concrete situations in contemporary Russian and international business. Special attention is paid to the methods and systems of information support of the life support functions of business organizations and management methodology of innovation and investment. An Appendix contains source data for analysis of competition in a particular industry.
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.
Over the last two decades national policy makers drew special attention to the implementation of policy tools which foster international cooperation in the fields of science, technology, and innovation. In this paper, we look at cases of Russian-German collaboration to examine the initiatives of the Russian government aimed at stimulating the innovation activity of domestic corporations and small and medium enterprises. The data derived from the interviews with companies’ leaders show positive effects of bilateral innovative projects on the overall business performance alongside with major barriers hindering international cooperation. To overcome these barriers we provide specific suggestions relevant to the recently developed Russian Innovation Strategy 2020.