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Enterprise systems engineering

About: Enterprise systems engineering is a research topic. Over the lifetime, 4822 publications have been published within this topic receiving 80698 citations. The topic is also known as: ESE.


Papers
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Journal ArticleDOI
Li Da Xu1
TL;DR: The state of the art in the area of enterprise systems as they relate to industrial informatics is surveyed, highlighting formal methods and systems methods crucial for modeling complex enterprise systems, which poses unique challenges.
Abstract: Rapid advances in industrial information integration methods have spurred tremendous growth in the use of enterprise systems. Consequently, a variety of techniques have been used for probing enterprise systems. These techniques include business process management, workflow management, Enterprise Application Integration (EAI), Service-Oriented Architecture (SOA), grid computing, and others. Many applications require a combination of these techniques, which is giving rise to the emergence of enterprise systems. Development of the techniques has originated from different disciplines and has the potential to significantly improve the performance of enterprise systems. However, the lack of powerful tools still poses a major hindrance to exploiting the full potential of enterprise systems. In particular, formal methods and systems methods are crucial for modeling complex enterprise systems, which poses unique challenges. In this paper, we briefly survey the state of the art in the area of enterprise systems as they relate to industrial informatics.

637 citations

Journal ArticleDOI
TL;DR: In this paper, a review of existing knowledge about agile manufacturing and an agile workforce was reviewed in order to extend the concept of agility to the whole enterprise and identify the global characteristics of agility which can be applied to all aspects of enterprise: flexibility, responsiveness, speed, culture of change, integration and low complexity, high quality and customized products, and mobilization of core competencies.

630 citations

Book
01 Jan 1999
TL;DR: This book introduces design methods and models used by systems engineers in the real world and offers a comprehensive, integrated treatment that includes modeling, underlying design principles, and the process of optimization for peak performance.
Abstract: From the Publisher: Systems engineering is the design of a complex interconnection of many elements to maximize performance. As such, the science relates to all fields of engineering. While systems engineering has always played an important role in industrial and military applications, advances in communications and computer technology have made this discipline especially relevant. This book introduces design methods and models used by systems engineers in the real world. It offer a comprehensive, integrated treatment that includes modeling, underlying design principles, and the process of optimization for peak performance.

601 citations

Journal ArticleDOI
TL;DR: The evolution of manufacturing system paradigms is discussed to identify the requirements of decision support systems in dynamic and distributed environments; recent advances in IT are overviewed and associated with next-generation manufacturing paradigm; and the relation of IT infrastructure and ESs is explored to identified the technological gaps in adopting IoT as an IT infrastructure of ESs.
Abstract: Design and operation of a manufacturing enterprise involve numerous types of decision-making at various levels and domains. A complex system has a large number of design variables and decision-making requires real-time data collected from machines, processes, and business environments. Enterprise systems (ESs) are used to support data acquisition, communication, and all decision-making activities. Therefore, information technology (IT) infrastructure for data acquisition and sharing affects the performance of an ES greatly. Our objective is to investigate the impact of emerging Internet of Things (IoT) on ESs in modern manufacturing. To achieve this objective, the evolution of manufacturing system paradigms is discussed to identify the requirements of decision support systems in dynamic and distributed environments; recent advances in IT are overviewed and associated with next-generation manufacturing paradigms; and the relation of IT infrastructure and ESs is explored to identify the technological gaps in adopting IoT as an IT infrastructure of ESs. The future research directions in this area are discussed.

595 citations

Book
01 Jan 1996
TL;DR: Part I: Basic Principles: Enterprise modeling and integration: an introduction; reference architectures for enterprise modeling and Integration; and Conclusion.
Abstract: Part I: Basic Principles: Enterprise modeling and integration: an introduction Reference architectures for enterprise modeling and integration Part II: Enterprise modeling:Enterprise modeling Modeling functional aspects Modeling information aspects Modeling resource aspects Modeling organization aspects Comparison and enterprise modeling tools Part III: Enterprise Integration: Enterprise integration Integrating infrastructure principles Integrating infrastructures for CIM Conclusion Appendices

572 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202314
202239
20213
20204
201814
2017148