Enterprise and Organizational Modeling and Simulation
The International Workshop on Enterprise and Organizational Modeling and Simulation
(EOMAS) represents a forum where researchers and practitioners exchange and
mutually enrich their views, approaches, and obtain results in the field of enterprise
engineering and enterprise architecture. The most valuable asset of every conference
and workshop is its community. The community of EOMAS is small, but it consists of
founding members, long-term contributors, and every year it attracts new innovative
participants. This year, EOMAS reached its 15th edition and took place in Rome, Italy,
during June 3–4, 2019.
Traditionally, we can offer a balanced assortment of papers addressing formal
foundations of enterprise modeling and simulation, conceptual modeling approaches,
higher-level insights and applications bringing novel ideas to traditional approaches, as
well as new emerging trends. Out of 24 submitted papers, 12 were accepted for publication
as full papers and for oral presentation, and each paper was carefully selected,
reviewed, and revised. In additional to this we reflected on the interest of last year’s
invited workshop on usability and invited the experts to make a sequel. You can find a
short report in this issue.
This year, we included a novel outlet of Master and Doctoral Consortium, which
attracted young talent to present their work. The presented work was then discussed,
and feedback, advice, and encouragement was given. We were really surprised by the
relevance, methodological quality, and results of their work – you may find their
contributions on our website https://eomas-workshop.org.
We would like to express our sincere thanks to the entire EOMAS community: the
authors, the Program Committee and the CAiSE organizers, the chairs for their
enthusiasm and devotion, as well as all participants for their contributions. We look
forward to the 16th edition of EOMAS!
This book constitutes the refereed proceedings of the 14th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2018, held in Tallinn, Estonia, in June 2018. The main focus of EOMAS is on the role, importance, and application of modeling and simulation within the extended organizational and enterprise context. The 11 full papers presented in this volume were carefully reviewed and selected from 22 submissions. They were organized in topical sections on conceptual modeling, enterprise engineering, and formal methods.
Supply Chain Management in modern conditions requires close integration of business processes of transport companies and information technology. We know that today there are a large number of applications and information systems for the automation of logistics activities. Currently there is no complete and consistent classification of software products of the Transportation Management System (TMS). Their diversity is relevant in the context of the fourth industrial revolution ("Industry 4.0"). It's difficult to navigate existing and emerging information systems and choose the most appropriate. The most important class TMS products are designed to plan, organize, and account for the operation of the vehicle fleet. However, their practical use is often ineffective for several reasons. One of the common problems in the implementation of the information system is the lack of or inadequate investigation of all operating activities of the enterprise and its strategic position in the market, the analysis of information flows, evaluation of employees of business roles, mechanism of decision-making. The reason for this is the lack of logistics management competencies in the field of information technology, and on the other hand, often poor understanding of IT-managers of the transport processes. Therefore, a practical approach synchronization strategic goals, objectives, business processes, supply chain management with business logic implemented information system. The paper discusses the use of proper Zachman enterprise architecture framework as this approach. This proper framework is simple enough to understand, and is known for a long time in the IT industry. Therefore, its use in the development of the information supply chain management system in practice, it seems appropriate for small and medium-sized freight enterprises. It is known that the business processes of all transport companies in general are often very similar. However, in practice often requires a flexible adaptation of the information system for each of them.
A century ago, Taylor published a landmark in the organisational sciences: his Principles of Scientific Management. Many researchers have elaborated on Taylors principles, or have been influenced otherwise. The authors of the current paper evaluate a century of enterprise development, and conclude that a paradigm shift is needed for dealing adequately with the challenges that modern enterprises face. Three generic goals are identified. The first one, intellectual manageability, is the basis for mastering complexity; current approaches fall short in assisting professionals to master the complexity of enterprises and enterprise changes. The second goal, organisational concinnity, is conditional for making strategic initiatives operational; current approaches do not, or inadequately, address this objective. The third goal, social devotion, is the basis for achieving employee empowerment as well as knowledgeable management and governance; modern employees are highly educated knowledge workers; yet, the mindset of managers has not evolved accordingly. The emerging discipline of Enterprise Engineering, as conceived by the authors, is considered to be a suitable vehicle for achieving these goals. It does so by providing new, powerful theories and effective methodologies. A theoretical framework is presented for positioning the theories, goals, and fundamentals of enterprise engineering in four classes: philosophical, ontological, ideological and technological.
The study identifies operational risks within service-oriented architecture (SOA) of information systems. As a part of operational risks a new error classification scheme is proposed for SOA applications. It is based on errors of the information systems which are service providers for application with service-oriented architecture. The proposed classification approach was used to classify system errors from two different enterprises (oil and gas industry, metal and mining industry). Besides we conducted a research to identify possible losses from operational risks and estimated losses for each error group per day.
This book constitutes the proceedings of the 7th Enterprise Engineering Working Conference, EEWC 2017, held in Antwerp, Belgium, in May 2017. EEWC aims at addressing the challenges that modern and complex enterprises are facing in a rapidly changing world. The participants of the working conference share a belief that dealing with these challenges requires rigorous and scientific solutions, focusing on the design and engineering of enterprises. The goal of EEWC is to stimulate interaction between the different stakeholders, scientists as well as practitioners, interested in making Enterprise Engineering a reality. The 12 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: formalisms; standards and laws; business processes; normalized systems and evolvability; ontologies; and organization design.
Innovation is the realization of a creative idea being applied to an existing problem. This application may be either of a new idea or the adoption of an existing idea. As we can see some aspects of Enterprise Architecture development and other activities in large organizations may grow from supposed purely engineering tasks to real research problems. This is a soil for cooperation and co-innovation in research and development that may be of a great value for both science and industry.
Information is used in modern enterprises in all sectors of the manufacturing processes for production to strategic planning and business management at the highest level. Due to the widespread introduction of electronic means of communication, regular changes in the markets and tightening of legislation there are increasing requirements for accuracy, timeliness and relevance of information. Along with it the volumes of information are increasing. In large enterprises the provision of reliable information is becoming a necessity. The practice of data management allows such companies to gain a holistic view of their IT resources, adjust the flow of data in the context of business processes, and to support the execution of activities on the integration of information systems, which ultimately creates the necessary conditions to ensure the reliability of information. The article discusses an integrated approach to enterprise data management, and proposes an architectural solution for the implementation of this approach in practice.
One of the challenging issues of Enterprise Architecture (EA) in large companies is organizing processes of baseline EA development and change management under conditions of steady change that implemented and changed IT solutions introduce. The research paper describes the approach of developing and keeping relevant baseline EA description together with IT project teams using Solution Architecture models. The method is in process of implementation in one of the leading Russian oil and gas companies Surgutneftegas
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.
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.