A New Approach for Collaborative Enterprise Architecture Development
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
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.
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.
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.
The technologies based on applying a metamodeling and domain-specific languages are widely used at information systems developing. There are many different tools for creating graphical domain-specific language editors with a possibility of determining user’s graphical notations. However they possess disadvantages. The MetaLanguage system is designed to eliminate some of these shortcomings. MetaLanguage is a language workbench which provides creation of visual dynamic adaptable domain-specific modeling languages used in the development of information systems. In paper the approach to development of MetaLanguage DSM-platform is considered. Basic metalanguage constructions of this system are described. The mathematical multilevel domain model with usage of pseudo-metagraphs is constructed. Definitions of the graph and metagraph are given. The algorithm of vertical models transformations is described. The architecture and implementation of the development environment of MetaLanguage toolkit is presented.