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Enterprise Modeling in the Context of Enterprise Engineering: State of the Art and Outlook

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Enterprise Modeling in the Context of Enterprise Engineering: State of the Art and Outlook I International Journal of J Production Management http://dx.doi.org/10.4995/ijpme.2014.2326 PME and Engineering Received 2014-04-30 - Accepted 2014-06-05 Enterprise Modeling in the context of Enterprise Engineering: State of the art and outlook Vernadat, F.B. Laboratory for Industrial Engineering, Production and Maintenance (LGIPM), University of Lorraine, Ile du Saulcy, Metz F-57042 cedex 1, France. [email protected] Abstract: Enterprise Modeling is a central activity in Enterprise Engineering which can facilitate Production Management activities. This state-of-the-art paper first recalls definitions and fundamental principles of enterprise modelling, which goes far beyond process modeling. The CIMOSA modeling framework, which is based on an event-driven process-based modeling language suitable for enterprise system analysis and model enactment, is used as a reference conceptual framework because of its generality. Next, the focus is on new features of enterprise modeling languages including risk, value, competency modeling and service orientation. Extensions for modeling collaborative aspects of networked organizations are suggested as research outlook. Major approaches used in enterprise modeling are recalled before concluding. Key words: Enterprise Engineering, Enterprise modeling, Process modeling, Capability/competency modeling, Risk modeling, Value modeling, Collaborative networked organization, CIMOSA . 1. Introduction be a central activity in Enterprise Engineering and Enterprise Integration projects. Nowadays, companies are facing drastic competition, Enterprise Engineering (EE) deals with design or unstable business conditions and serious efficiency redesign of business entities (Kosanke & Nell, 1997). problems. They must rationalize and optimize their It concerns all activities, except enterprise operations, daily operations in a productive and cost-effective involved in the enterprise life cycle, i.e., mission way. They must be reactive and agile to quickly face identification, strategy definition, requirements changing conditions. Their operations must be highly definition, conceptual design, implementation interoperable with the partners’ ones. To achieve description, installation, maintenance and continuous this, these operations must be properly defined, improvement as defined in GERAM (IFAC-IFIP described and put under control. Thus, precise and Task Force, 1999). It mostly focuses on engineering up-to-date models of these operations are necessary and optimizing business processes of enterprises to understand how they work or are organized. in terms of their related flows (namely, product/ material flows, information/decision flows and Enterprise Modeling (EM) is concerned with control flows), resources (human agents, technical representing and describing the structure, the agents, components) as well as time and cost aspects. organization and the behavior of a business entity Hence, EM techniques for EE must cater for the to evaluate its performances, reengineer its various representation and analysis of function, information, internal and external flows or optimize them in order resource and organization aspects of business entities to make the enterprise more efficient and effective. A (AMICE, 1993). They can also cover cost/economic, business entity is whole or part of an enterprise or of performance or collaboration aspects. a group of enterprises (e.g., an extended enterprise, a Enterprise Integration (EI) is concerned with breaking virtual enterprise, a networked enterprise or a supply down organizational barriers to create a synergistic chain). Over the last two decades, EM has proved to whole to improve competitiveness and sustain growth Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Int. J. Prod. Manag. Eng. (2014) 2(2), 57-73 57 https://ojs.upv.es/index.php/IJPME Vernadat, F.B. of an enterprise or an networked enterprise. The goal implementation (either in terms of cycletime or is to make interoperable all elements of the enterprise cost), choose the best solution among various (i.e., humans, machines as well as IT applications) implementation alternatives (‘what-if” scenarios), to facilitate system-wide the 4C’s (communication, evaluate implementation risks and costs, optimize co-operation, co-ordination and collaboration). An resource selection and management, support model- enterprise can be considered to be integrated when based integration or support continuous process the right information is delivered at the right place at improvement. However, the prime advantage of EM the right time. Enterprise interoperability is therefore in industry is to provide a shared view or “picture” an essential enabler of EI (Vernadat, 1996, 2007a). of the enterprise that can be communicated to the The paper provides a state of the art review of various actors, i.e., to build a consensus that enforces enterprise modeling in the context of EE and EI a common enterprise culture. and is organized as follows. First, definitions and Enterprise modeling techniques equally apply to fundamental principles of enterprise modeling industrial firms, service companies, administrative are recalled. The CIMOSA modeling framework, organizations or even government agencies. which is based on an event-driven process-based modeling language suitable for enterprise system analysis and model enactment, will be used as a 2.2. CIMOSA reference conceptual framework. Next, the focus Early EM methods, i.e., built before the 90’s, were is on new features that need to be covered by mostly activity centric and based on the functional enterprise modeling languages including risk, value, decomposition principle (e.g., the IDEF and GRAI capability and competency aspects as well as service methods). At the turn of the 90’s, business process- orientation. Extensions to model collaborative centric methods emerged advocating causal and aspects of networked organizations are also discussed precedence relationships among activities and object as research outlook. A short panorama of tools is flows. The modeling framework of CIMOSA, an open then given followed by the conclusion. system architecture for integrated manufacturing enterprises (AMICE, 1993), paved the way in this field by introducing an event-driven process-based 2. Enterprise Modeling Principles modeling approach and formalizing the concept and CIMOSA of business process (Jorysz & Vernadat, 1990). In addition to the usual functional and information 2.1. Enterprise modeling definition modeling aspects covered by early EM methods, it soon became obvious that resource and organization Enterprise modeling (EM), not to be confused aspects also had to be addressed to properly assess with process modelling (Curtis et al. 1992, Dalal business processes and related concepts as found et al. 2004), can be defined as the art of developing in manufacturing companies or in industrial supply models, i.e., abstract representations of a definite chains. part of an enterprise (in a more or less formal way), to accurately represent the structure, behavior and Because CIMOSA has been the root for GERAM organization of a business entity. It is a generic term and several European and ISO standards for EM, e.g. which covers the set of activities, methods and tools ISO 19439 (2006) and ISO 19440 (2007), it is used related to developing models for various aspects of as a reference in the paper. an enterprise or a network of enterprises (Vernadat, 1996; Owen & Walker, 2013; Wikipedia, 2013). 2.3. Fundamental principles of EM Enterprise models can be used in practice to Due to the complexity and multi-faceted nature of represent, visualize, understand, communicate, enterprise organizations and especially industrial design, rengineer and improve enterprise operations organizations, enterprise modeling frameworks with a focus on quality, cost or delays as well as should respect the following principles: system efficiency and effectiveness. Principle #1: Plural nature of enterprise models. Especially, these models are useful (but should not be limited) to: understand and analyze the structure This means that there is no such thing as an “enterprise and behavior of an enterprise domain, reengineer model”. There are enterprise models. Indeed, any a part of the enterprise, evaluate the behavior and business entity, be it a manufacturing plant, a R&D performances of business processes before their department, a branch of a company, a supply chain or 58 Int. J. Prod. Manag. Eng. (2014) 2(2), 57-73 Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Enterprise Modeling in the context of Enterprise Engineering:State of the art and outlook a virtual enterprise, is so complex that it is impossible Principle #3: Three fundamental types of flows. to represent it by one single model expressed in one There are three fundamental types of flows circulating language. Several models will be necessary and, within or across any type of enterprises (excluding indeed, the enterprise model is an assemblage of sub- financial flows): models, each depicting some specific aspects. - Material flows (made of physical objects such Principle #2: Concept of modeling views. as raw materials, semi-finished parts, products, The concept of modeling view or viewpoint is a components, tools…), mechanism that allows to focus on some aspects of a - Information flows (made of information and system while discarding others to manage structural decision objects such as orders, documents,
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