On domain modelling of the service system with its application to enterprise information systems

Information systems are a kind of service systems and they are throughout every element of a modern industrial and business system, much like blood in our body. Types of information systems are heterogeneous because of extreme uncertainty in changes in modern industrial and business systems. To effectively manage information systems, modelling of the work domain (or domain) of information systems is necessary. In this paper, a domain modelling framework for the service system is proposed and its application to the enterprise information system is outlined. The framework is defined based on application of a general domain modelling tool called function-context-behaviour-principle-state-structure (FCBPSS). The FCBPSS is based on a set of core concepts, namely: function, context, behaviour, principle, state and structure and system decomposition. Different from many other applications of FCBPSS in systems engineering, the FCBPSS is applied to both infrastructure and substance systems, which is novel and effective to modelling of service systems including enterprise information systems. It is to be noted that domain modelling of systems (e.g. enterprise information systems) is a key to integration of heterogeneous systems and to coping with unanticipated situations facing to systems.

[1]  Kazuo Furuta,et al.  Evacuation Planning Based on the Contraflow Technique With Consideration of Evacuation Priorities and Traffic Setup Time , 2013, IEEE Transactions on Intelligent Transportation Systems.

[2]  T. Levitt.  Production-Line Approach to Service , 2012 .

[3]  Lida Xu,et al.  Enterprise Systems: State-of-the-Art and Future Trends , 2011, IEEE Transactions on Industrial Informatics.

[4]  Wei Xu,et al.  A role-oriented service system architecture for enterprise process collaboration , 2012, Comput. Oper. Res..

[5]  Steven L. Alter.  Service System Innovation , 2008, Information Technology in the Service Economy.

[6]  Ling Li,et al.  Identifying Influential Factors of Knowledge Sharing in Emergency Events: A Virtual Community Perspective , 2013 .

[7]  Johan de Kleer,et al.  How Circuits Work , 1984, Artif. Intell..

[8]  Kazuo Furuta,et al.  On a Unified Definition of the Service System: What is its Identity? , 2014, IEEE Systems Journal.

[9]  Huaying Shu,et al.  Knowledge management in OSS—an enterprise information system for the telecommunications industry , 2006 .

[10]  Yong Chen,et al.  A System Framework of Security Management in Enterprise Systems , 2013 .

[11]  Zdenko Stanicek,et al.  Service Systems Through the Prism of Conceptual Modeling , 2010 .

[12]  A.,et al.  Cognitive Engineering , 2008, Encyclopedia of GIS.

[13]  T. Meiren,et al.  Service engineering—methodical development of new service products , 2003 .

[14]  Lida Xu,et al.  Enterprise Information Systems Architecture—Analysis and Evaluation , 2013, IEEE Transactions on Industrial Informatics.

[15]  W.J. Zhang,et al.  A function-behavior-state approach to designing human-machine interface for nuclear power plant operators , 2005, IEEE Transactions on Nuclear Science.

[16]  Marie Duží.  Logical foundations of conceptual modelling , 2001 .

[17]  Ling Li,et al.  Creation of environmental health information system for public health service: A pilot study , 2008, Inf. Syst. Frontiers.

[18]  Ananth Krishnamurthy,et al.  From Just in Time Manufacturing to On-Demand Services , 2007 .

[19]  Ricardo Valerdi,et al.  Guest Editorial Special Section on Enterprise Systems , 2012, IEEE Trans. Ind. Informatics.

[20]  Stephen L. Vargo,et al.  Evolving to a New Dominant Logic for Marketing , 2004 .

[21]  Andrew P. Martin,et al.  SWSpec: The Requirements Specification Language in Service Workflow Environments , 2012, IEEE Transactions on Industrial Informatics.

[22]  Scott E. Sampson,et al.  Foundations and Implications of a Proposed Unified Services Theory , 2006 .

[23]  Lida Xu,et al.  An Integrated Approach for Agricultural Ecosystem Management , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[24]  Yasushi Umeda,et al.  FBS Modeling : Modeling Scheme of Function for Conceptual Design , 2003 .

[25]  Xiaohong Guan,et al.  An SVM-based machine learning method for accurate internet traffic classification , 2010, Inf. Syst. Frontiers.

[26]  Reuven Karni,et al.  An engineering tool for the conceptual design of service systems , 2007 .

[27]  Qiang Chen,et al.  Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things , 2015, Enterp. Inf. Syst..

[28]  Paul P. Maglio,et al.  Service systems, service scientists, SSME, and innovation , 2006, CACM.

[29]  Claudio S. Pinhanez.  "HUMANS INSIDE" AS THE KEY CHARACTERISTIC OF SERVICE SYSTEMS , 2009 .

[30]  Wenjun Chris Zhang,et al.  On the principle of design of resilient systems – application to enterprise information systems , 2010, Enterp. Inf. Syst..

[31]  Feng Shan.  A hybrid knowledge-based system for urban development , 1996 .

[32]  Steven L. Alter.  18 Reasons Why IT-Reliant Work Systems Should Replace "The IT Artifact" as the Core Subject Matter of the IS Field , 2003, Commun. Assoc. Inf. Syst..

[33]  Lida Xu,et al.  Business Intelligence for Enterprise Systems: A Survey , 2012, IEEE Transactions on Industrial Informatics.

[34]  James M. Tien,et al.  A case for service systems engineering , 2003 .

[35]  X. Qin,et al.  ERP research, development and implementation in China: an overview , 2005 .

[36]  C. A. van Luttervelt,et al.  Toward a resilient manufacturing system , 2011 .

[37]  Wenjun Chris Zhang,et al.  An Integrated Road Construction and Resource Planning Approach to the Evacuation of Victims From Single Source to Multiple Destinations , 2010, IEEE Transactions on Intelligent Transportation Systems.

[38]  Ron Weber,et al.  Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda , 2002, Inf. Syst. Res..

[39]  Juan Carlos Augusto,et al.  Editorial: Inaugural issue , 2009, J. Ambient Intell. Smart Environ..

[40]  Jeffrey S. Smith,et al.  Survey on the use of simulation for manufacturing system design and operation , 2003 .

[41]  Paul P. Maglio,et al.  Steps Toward a Science of Service Systems , 2007, Computer.

[42]  Warren P. Seering,et al.  Function Sharing in Mechanical Design , 1988, AAAI.

[43]  Wei Xu,et al.  A framework for service enterprise workflow simulation with multi-agents cooperation , 2013, Enterp. Inf. Syst..

[44]  Philippe Kruchten,et al.  Casting software design in the function-behavior-structure framework , 2005, IEEE Software.

[45]  Andrew W. H. Ip,et al.  Measurement of resilience and its application to enterprise information systems , 2010, Enterp. Inf. Syst..

[46]  W. H. Ip,et al.  On Petri net implementation of proactive resilient holistic supply chain networks , 2013 .

[47]  Thang Le Dinh,et al.  A Conceptual Framework for Service Modelling in a Network of Service Systems , 2010, IESS.

[48]  D. Rigby,et al.  Organic farming and the sustainability of agricultural systems , 2001 .

[49]  Peter K. Mills,et al.  Perspectives on the Technology of Service Operations , 1982 .

[50]  Ling Li,et al.  Guest EditorialIntegrated Healthcare Information Systems , 2012, IEEE Transactions on Information Technology in Biomedicine.

[51]  Andrew P. Martin,et al.  Using Propositional Logic for Requirements Verification of Service Workflow , 2012, IEEE Transactions on Industrial Informatics.

[52]  Stephen L. Vargo,et al.  The Service-dominant Logic of Marketing: Dialog, Debate, and Directions , 2006 .

[53]  Lida Xu,et al.  EMG and EPP-Integrated Human–Machine Interface Between the Paralyzed and Rehabilitation Exoskeleton , 2012, IEEE Transactions on Information Technology in Biomedicine.

[54]  Robert J. Glushko,et al.  Designing service systems by bridging the “front stage” and “back stage” , 2009, Inf. Syst. E Bus. Manag..

[55]  Tetsuo Tomiyama,et al.  Development of design methodology for upgradable products based on function–behavior–state modeling , 2005, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[56]  Zhendong Niu,et al.  Analysis of Architecturally Significant Requirements for Enterprise Systems , 2014, IEEE Systems Journal.

[57]  Lili Yang,et al.  Information flow in reverse logistics: an industrial information integration study , 2012, Inf. Technol. Manag..

[58]  Janice I. DeGross,et al.  Information Technology in the Service Economy: Challenges and Possibilities for the 21st Century IFIP Working Group 8.2 Conference, Toronto, Canada, August ... Federation for Information Processing) , 2008 .

[59]  W. C. Benton,et al.  Performance measurement criteria in health care organizations: Review and future research directions , 1996 .

[60]  Li D. Xu.  Developing a case-based knowledge system for AIDS prevention , 1994 .

[61]  Benjamin Kuipers,et al.  Commonsense Reasoning about Causality: Deriving Behavior from Structure , 1984, Artif. Intell..

[62]  Zhuming Bi,et al.  Operations Research (OR) in Service Industries: A Comprehensive Review , 2013 .

[63]  Lida Xu,et al.  An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management , 2014, IEEE Transactions on Industrial Informatics.

[64]  Wenjun Chris Zhang,et al.  Towards a novel interface design framework: function-behavior-state paradigm , 2004, Int. J. Hum. Comput. Stud..

[65]  Lei Ren,et al.  Cloud manufacturing: a new manufacturing paradigm , 2014, Enterp. Inf. Syst..