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Architectures,methods and tools for enterprise engineering
Institution:1. Department of Computer Science, University of Bari Aldo Moro, Italy;2. Department of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, Italy;3. BTO Research, Italy;1. Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77553, USA;2. Institute of Marine Science, The University of Alaska Fairbanks, Fairbanks, AK 99775, USA;3. Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomon, MD 20688, USA;1. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA;2. Qualcomm Atheros, San Jose, CA, USA\n;1. Estudis d’Informàtica, Multimèdia i Telecomunicació, Universitat Oberta de Catalunya, Rambla del Poblenou 156, Barcelona 08018, Spain;2. ICREA, Barcelona, Spain;3. Universidad Autónoma de Madrid, Madrid, Spain
Abstract:In today's highly competitive global economy, the demand for high-quality products manufactured at low costs with shorter cycle times has forced a number of manufacturing industries to consider various new product design, manufacturing, and management strategies. Recently, due to the rapid advances in Information Technology (IT), new paradigms have successively emerged such as CIM, JIT, lean manufacturing, concurrent engineering, business process engineering and more enterprise engineering (EE). Enterprise modeling is currently in use either as a technique to represent and understand the structure and behavior of the enterprise, or as a technique to analyze business processes, and in many cases as support technique for business process reengineering. However, architectures and methods for EE have also to cover the integration of quality, information system, cost, human and organizational aspects and have to support the EE process from goal and requirements definition up to implementation and operation (Vernadat, 1999. Proceedings of CARS&FOF 99 Conference, Aquas de Lindoia, Brazil).This paper provides an overview of architectures, methods and tools for EE. It then points out substantial results achieved so far as well as presents a methodology and a related tool in more detail, which supports all phases and aspects of EE.
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