This book constitutes the proceedings of the 11th Enterprise Engineering Working Conference, EEWC 2021, which was held online on November 12, 2021, and December 16-17, 2021. 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 5 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The volume also contains 2 keynote papers.
This book constitutes the refereed proceedings of the 12th Enterprise Engineering Working Conference on Advances in Enterprise Engineering XVI, EEWC 2022, held in Leusden, The Netherlands, November 2–3, 2022. 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 4 full papers and 2 short papers included in this book were carefully reviewed and selected from 13 submissions. In addition, there are 2 invited papers from keynote presentations. They were organized in topical sections as follows: Invited Papers from Keynote Presentations and Presented Papers.
The expectation for the future of the 21st century enterprise is complexity and agility. In this digital age, business processes are scattered not only throu- out the labyrinth of their own enterprises, but also across di?erent enterprises, and even beyond the national boundaries. An evidence of this is the gr- ing phenomenon of business process outsourcing. Increasing competition, higher customer demands, and emerging technologies require swift adaptation to the changes. To understand, design, and engineer a modern enterprise (or an enterprise network) and its interwoven business processes, an engineering and systematic approach based on sound and rigorous theories and methodologies is necessary. Along with that, a paradigmshift seems to be needed for addressing these issues adequately. An appealing candidate is to look at an enterprise and its business processes as a social system. In its social setting, an enterprise and its bu- ness processes represent actors with certain authorities and assigned roles, who assume certain responsibilities in order to provide a service to its environment. The need for this paradigm shift along with the complexity and agility of modern enterprises, gives inspiration for the emerging discipline of Enterprise Engineering. For the study of this socio-technical phenomenon, the prominent tools ofModeling andSimulation play a signi?cant role.Both (conceptual) m- eling and simulationare widely used for understanding,analyzing,andengine- ing an enterprise (its organization and business processes).
The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as ?enterprise data?. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making.
"This book provides a comprehensive assessment of the latest developments in the EIS revolution. including Enterprise Resource Planning (ERP) adoption, the integration of enterprise systems, personalized ERP, and the Semantic Web, and ideas and solutions for the future of the global enterprise"--Provided by publisher.
Since the emerging discipline of engineering enterprise systems extends traditional systems engineering to develop webs of systems and systems-of-systems, the engineering management and management science communities need new approaches for analyzing and managing risk in engineering enterprise systems. Advanced Risk Analysis in Engineering Enterpri
This book constitutes the refereed proceedings of the 11th International Conference on Advanced Information Systems Engineering, CAiSE'99 held in Heidelberg, Germany in June 1999. The 27 revised full papers presented together with 12 short research papers and two invited contributions were carefully selected from a total of 168 submissions. The papers are organized in topical sections on components, information systems management, method engineering, data warehouses, process modeling, CORBA and distributed information systems, workflow systems, heterogeneous databases, and information systems dynamics.
This book constitutes the proceedings of the 15th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2022, which took place in London, UK, during November 23-25, 2022. PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Enterprise Modeling and Model-based Development and Engineering. The 15 full papers presented in this volume were carefully reviewed and selected from a total of 45 submissions. They were organized in topical sections as follows: models in information system development; modeling enterprise architectures; modeling capabilities and ecosystems; DSML and meta-modeling; and participatory modeling.
Enterprise ontology is one of the conceptual pillars of enterprise engineering, next to enterprise design and enterprise governance, together accomplishing the goals of intellectual manageability, organisational concinnity and social devotion. By revealing the essence of an enterprise's organisation, enterprise ontology addresses business processes, data and rules in a fundamental and truly integrated way. In addition, it provides deep insight into and broad overview over complex organisational transformations. The book is divided into three parts. Part I is an introduction in enterprise engineering and enterprise ontology. Part II explores the theories underlying enterprise ontology, explaining the foundations of each theory, the elaborations in practical methods and techniques, and the relationships with other comparable approaches. Part III presents the practical application of the theories. It includes a comprehensive summary of the DEMO methodology and the DEMO specification language, as well as exercises and applications of DEMO in various business areas. It also features a chapter on combining DEMO with comparable approaches to modelling business processes, data and rules, to the benefit of the latter. This second edition comprises two major improvements, driven by increased theoretical precision and further practical experience with DEMO. One is the clear separation between documents or data sets and the files that carry them, the other one is the re-positioning of the input data in the action rules. Discussing the theoretical foundations of enterprise ontology and its practical applications in equal measure, this book is the principal textbook in courses on enterprise engineering. Since it unites elements from management science and information systems engineering, it is also relevant to students and professionals in either field.
