Defining Product Data Views for Different Stakeholders

In order to succeed in modern complex business, functional product data managements is a must. The product data needs of different stakeholder groups vary significantly among companies. This study aims to find tangible ways to address these different stakeholder needs. This article analyses three high tech companies through interviews and studying their product data documentations. The article presents a tangible way of building separate views for different stakeholder groups for utilising product data. In addition, content examples for these views are presented. This study presents examples on stakeholder specific view contents, including structural illustrations for product structures, and division of product data into business oriented product master data, and other general data required for more operational purposes. Opposed to traditional approach of highlighting the technical aspects of product data, this study shows that companies can potentially benefit of a more business oriented approach in analysing and managing product data.

[1]  Carol V. Brown,et al.  Designing data governance , 2010, CACM.

[2]  Regine W. Vroom.  A general example model for automotive suppliers of the development process and its related information , 1996 .

[3]  Gérard Morel,et al.  Traceability and management of dispersed product knowledge during design and manufacturing , 2011, Comput. Aided Des..

[4]  Chengen Wang,et al.  Integrated data management in complex product collaborative design , 2009, Comput. Ind..

[5]  Jack Buffington,et al.  Comparison of Mass Customization and Generative Customization in Mass Markets , 2011, Ind. Manag. Data Syst..

[6]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .

[7]  D. Tony Liu,et al.  A review of web-based product data management systems , 2001 .

[8]  Weiming Shen,et al.  A review of Internet-based product information sharing and visualization , 2004, Comput. Ind..

[9]  Lars Hvam,et al.  A Procedure for Building Product Models , 1999 .

[10]  Hing Kai Chan,et al.  Implementation of ERP of the Australian Manufacturing Companies , 2010, Ind. Manag. Data Syst..

[11]  R. Watson,et al.  Data Management , 1980, Bone Marrow Transplantation.

[12]  Wen Guang Qu,et al.  Impact of Experience on Open Inter-Organizational Systems Adoption , 2011, Ind. Manag. Data Syst..

[13]  Ivica Crnkovic,et al.  Implementing and integrating product data management and software configuration management , 2003 .

[14]  Lars Medbo,et al.  On the use of product data in the design of the materials supply system , 2004 .

[15]  Per Hilletofth,et al.  Demand-supply chain management: Industrial survival recipe for new decade , 2011, Ind. Manag. Data Syst..

[16]  Lars Hvam,et al.  CRC cards for product modelling , 2003, Comput. Ind..

[17]  Bob Anderson,et al.  Complexity: customization's evil twin , 2006 .

[18]  Per Hilletofth,et al.  Coordinating new product development with supply chain management , 2011, Ind. Manag. Data Syst..

[19]  Ch. Wang,et al.  Information Modeling for Product Lifecycle Management , 2004, ICEIMT/DIISM.

[20]  Steven J. Fenves,et al.  A product information modeling framework for product lifecycle management , 2005, Comput. Aided Des..

[21]  Dimitris Kiritsis,et al.  Product lifecycle management – from its history to its new role , 2010 .

[22]  Gérard Morel,et al.  New paradigms for a product oriented modelling: Case study for traceability , 2009, Comput. Ind..

[23]  Claus Rautenstrauch,et al.  Moving into Mass Customization: Information Systems And Management Principles , 2002 .

[24]  P. Radhakrishnan,et al.  Collaborative product structure management for assembly modeling , 2008, Comput. Ind..

[25]  Lauri Koskela,et al.  Towards an integrated enterprise model: combining product life cycle support with project management , 2007 .

[26]  Khaled Nagi.  Transactional Agents: Towards a Robust Multi-Agent System , 2001, Lecture Notes in Computer Science.

[27]  Johan Malmqvist,et al.  Strategies for Product Structure Management at Manufacturing Firms , 2002, J. Comput. Inf. Sci. Eng..

[28]  Hyung Jun Ahn,et al.  Capturing and reusing knowledge in engineering change management: A case of automobile development , 2006, Inf. Syst. Frontiers.

[29]  John Stark,et al.  Product lifecycle management : 21st century paradigm for product realisation , 2005 .

[30]  Slinger Jansen,et al.  Integrated development and maintenance of software products to support efficient updating of customer configurations: a case study in mass market ERP software , 2005, 21st IEEE International Conference on Software Maintenance (ICSM'05).

[31]  Morgan Swink,et al.  Building Collaborative Innovation Capability , 2006 .

[32]  Suk-Hwan Suh,et al.  An architecture for ubiquitous product life cycle support system and its extension to machine tools with product data model , 2009 .

[33]  C. Forza,et al.  Managing for variety in the order acquisition and fulfilment process: The contribution of product configuration systems , 2002 .

[34]  Harri Haapasalo,et al.  Managing One Master Data - Challenges and Preconditions , 2010, Ind. Manag. Data Syst..

[35]  Mogens Myrup Andreasen,et al.  The Structuring of Products and Product Programmes , 1996 .

[36]  Bernhard Mitschang,et al.  A service-based approach for next-generation Product Lifecycle Management , 2010, 2010 IEEE International Conference on Information Reuse & Integration.

[37]  Bart H. M. Gerritsen,et al.  Current state and future of product data technologies (PDT) , 2008 .

[38]  Dimitris Kiritsis,et al.  Research issues on product lifecycle management and information tracking using smart embedded systems , 2003, Adv. Eng. Informatics.

[39]  Claus-Michael Seiler,et al.  Product lifecycle management , 2006, Wirtschaftsinf..

[40]  Dieter Fensel,et al.  Product Data Integration in B2B E-Commerce , 2001, IEEE Intell. Syst..