ONTOLOGIES SUPPORTING COOPERATIONS IN MASS CUSTOMIZATION - A PRAGMATIC APPROACH

Mass Customization (MC) as a modern competitive strategy enables enterprises to act in dynamic markets with high customer satisfaction. But, for a successful implementation of this management concept, effective information logistics is essential. Ontologies are considered as a promising approach for optimizing inter-organizational and distributed cooperation. Although there have been several publications on ontologies and their usage we are going to show that none of these approaches can satisfy the requirements of the Mass Customization domain completely. They either do not consider requirements like natural distribution and inherent heterogeneity of all members along the supply chain nor customer needs sufficiently, which are both typical properties in this domain. In this paper, a formal conceptualization of Mass Customization scenarios within an ontology will be introduced. Doing so, we will firstly illustrate the general concept of ontologies. Then we will discuss the components of an MC-ontology and its sub-models. The originalities of a particular domain are shown for the shoe industry as an example.

[1]  Hamideh Afsarmanesh,et al.  E-Business and Virtual Enterprises: Managing Business-to-Business Cooperation , 2000 .

[2]  Ingo J. Timm,et al.  Akzeptanz von Agententechnologie in der industriellen Anwendung - Fortschritt durch Transparenz und Standardisierung? , 2001 .

[3]  Thomas R. Gruber,et al.  Ontolingua: a mechanism to support portable ontologies , 1991 .

[4]  Mark S. Fox,et al.  The Logic of Enterprise Modelling , 1996 .

[5]  K. D. Joshi,et al.  A collaborative approach to ontology design , 2002, CACM.

[6]  Michael Uschold,et al.  The Enterprise Ontology , 1998, The Knowledge Engineering Review.

[7]  Heinz Jürgen Müller,et al.  Towards Agent Systems Engineering , 1997, Data Knowl. Eng..

[8]  Peter Mertens,et al.  Mass Customization (Massen-Maßfertigung) , 1995, Wirtschaftsinf..

[9]  S. Alshawi.  Logistics in the Internet age: towards a holistic information and processes picture , 2001 .

[10]  Ronald J. Brachman,et al.  An overview of the KL-ONE Knowledge Representation System , 1985 .

[11]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[12]  Mike Uschold,et al.  Converting an Informal Ontology into Ontolingua: Some Experiences , 1996 .

[13]  Martin K. Purvis,et al.  UML as an Ontology Modelling Language , 1999, Intelligent Information Integration.

[14]  Ingo J. Timm,et al.  Implications of mass customisation on business information systems , 2006 .

[15]  Michael Uschold.  Barriers to Effective Agent Communication , 2001 .

[16]  Michael R. Genesereth,et al.  Knowledge Interchange Format , 1991, KR.

[17]  Marek Obitko,et al.  Ontologies for multi-agent systems in manufacturing domain , 2002, Proceedings. 13th International Workshop on Database and Expert Systems Applications.

[18]  M. Fox,et al.  An Organization Ontology for Enterprise Modelling , 2002 .

[19]  Jungyun Seo,et al.  Classifying schematic and data heterogeneity in multidatabase systems , 1991, Computer.

[20]  Sebastian Hübner,et al.  BUSTER - An Information Broker for the Semantic Web , 2003, Künstliche Intell..

[21]  Lawrence E. Whitman,et al.  Ontology-based product tracking system , 2003 .

[22]  Vijayan Sugumaran,et al.  Towards an Agent-Based Mass Customization Environment : Architecture and Coordination , 2003 .

[23]  Liliana Ardissono,et al.  Customer-Adaptive and Distributed Online Product Configuration in the CAWICOMS project , 2001, IJCAI 2001.

[24]  S. Kirn,et al.  Implications of Mass Customization on Business Information Systems , 2003 .

[25]  Nicola Guarino,et al.  Formal Ontology and Information Systems , 1998 .

[26]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[27]  Alexander V. Smirnov,et al.  Agent-based infrastructure of supply chain network management , 2000, E-Business and Virtual Enterprises.

[28]  Michel Benaroch,et al.  Knowledge Reuse in Mass Customization of Knowledge-Intensive Services , 1996 .

[29]  Alexander V. Smirnov,et al.  Ontology-Based Knowledge Management for Co-operative Supply Chain Configuration , 2000 .

[30]  B. Joseph Pine,et al.  Making mass customization happen: Strategies for the new competitive realities , 1993 .

[31]  Michael Uschold,et al.  Ontologies: principles, methods and applications , 1996, The Knowledge Engineering Review.

[32]  F. T. Piller,et al.  Mass customization: four approaches to deliver customized products and services with mass production efficiency , 2002, IEEE International Engineering Management Conference.

[33]  Richard Fikes,et al.  Information Brokers: Gathering Information from Heterogeneous Information Sources , 1998 .

[34]  Ingo J. Timm,et al.  ADAPTIVE MULTIAGENT SYSTEMS APPLIED ON TEMPORAL LOGISTICS NETWORKS , 1999 .

[35]  M. Fox,et al.  Enterprise Modeling , 1998, AI Mag..

[36]  Rainer Herrler,et al.  OntHoS — an Ontology for Hospital Scenarios , 2003 .