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Showing papers on "Enterprise systems engineering published in 2021"


Book ChapterDOI
01 Jan 2021

2 citations


Book
28 Jul 2021
TL;DR: In this paper, the authors look at enterprise systems and their essential aspects as complex sociotechnical systems composed of integrated sets of structural and process models (Chapters 1 and 2) and make a uniform description of all the heterogeneous fields of the modern enterprise (marketing, sales, manufacturing, HR, finance, etc.) is posed as a top-down and holistic mathematical optimization problem.
Abstract: In the modern world, most gross product is created within Enterprise firms, project programs, state agencies, transnational corporations and their divisions, as well as various associations and compositions of the above entities. Enterprises, being, on the one hand, complex, and, on the other hand, widespread systems, are the subject matter of cybernetics, system theory, operations research, management sciences and many other fields of knowledge. However, the complexity of the system obstructs the development of mathematically rigorous foundations for Enterprise control. Moreover, methods of operations research and related sciences, which are widely used in practice, provide optimization of the constituents of an Enterprise, without modeling it as a whole system. But the optimization of parts does not lead to the optimality of the whole, and, also, the absence of top-down and holistic mathematical models of Enterprise contradicts the principle of holism and the system approach. The approach in this book looks first at Enterprise Systems and their essential aspects as complex sociotechnical systems composed of integrated sets of structural and process models (Chapters 1 and 2). A uniform description of all the heterogeneous fields of the modern Enterprise (marketing, sales, manufacturing, HR, finance, etc.) is then made, and the Enterprise Control Problem is posed as a top-down and holistic mathematical optimization problem (Chapter 3). Original models and methods of contract theory (Chapter 4), technology management (Chapter 5), human behavior and human capital (Chapter 6) and complex activity and resource planning (Chapter 7) are developed to solve the problem. Structural processes and mathematical models constitute an Optimal Enterprise Control Framework (Chapter 8) that provides a practical solution to the Enterprise Control Problem. This book is a resource for postgraduate and doctoral students, postdoctoral researchers and professors with research interests in the following fields of science: Fundamental Complex Systems study, Complex Systems Engineering, Enterprise Systems Engineering Applications of Operations Research, Optimization, Probability and Stochastic processes to Management Science, Economics and Business Theory of the Firm Business and Management – general, strategy/leadership, organization management, operations management and management information systems Theory of Business Processes, Business Processes Improvement and Reengineering

1 citations


Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors summarize the evolution of technology product development, discuss the concepts of Enterprise Systems (ES), and review recent research works on Enterprise Systems Engineering (ESE) with Enterprise Architecture (EA) and Enterprise Ontology (EO).
Abstract: Enterprise Systems Engineering (ESE) is the application of systems engineering principles, concepts, and methods to the planning, design, improvement, and operation of an enterprise. The development of an enterprise poses new challenges for Systems Engineering (SE) to address enterprise architecture, strategic technical planning, enterprise analysis and organizational behavior. In this paper, we first summarize the evolution of technology product development, discuss the concepts of Enterprise Systems (ES), and review recent research works on Enterprise Systems Engineering (ESE) with Enterprise Architecture (EA) and Enterprise Ontology (EO). With the goal of successful integration of technology and human-beings, we then propose an updated ontology of the EA framework, highlight the new trend of Model based Enterprise (MBE), the ES “Vee” model, and present challenges of future research on ESE posed by ES requirements, scope, synthesis, model-based design, integration, and verification and validation.

1 citations