A tree unification approach to constructing generic processes

In dealing with product diversity, manufacturing companies strive to maintain stable production by eliminating variations in production processes. In this respect, planning process families in relation to product families to achieve production stability is a promising approach. In this paper, the generic processes underlying process families and their construction is studied. Such generic processes entail well-structured mechanisms that can help companies develop similar processes to fulfill a diversity of customized products. In view of the fact that a production process is commonly represented by a tree, in particular, a binary tree, an approach based on tree unification to construct generic processes from large volumes of existing production data is proposed. This approach is tested using an industrial example involving electronic products, and the derived generic processes have been verified by the users. [Supplementary materials are available for this article. Go to the publisher's online edition of IIE Transactions for the following free supplemental resource: Appendix]

[1]  Farrokh Mistree,et al.  Designing Platforms for Customizable Products and Processes in Markets of Non-Uniform Demand , 2007, Concurr. Eng. Res. Appl..

[2]  Saif Benjaafar,et al.  Modelling, measurement and evaluation of sequencing flexibility in manufacturing systems , 1996 .

[3]  Arthur C. Sanderson,et al.  AND/OR graph representation of assembly plans , 1986, IEEE Trans. Robotics Autom..

[4]  Parag Vichare,et al.  Systematic modeling and reusing of process knowledge for rapid process configuration , 2008 .

[5]  Gary P. Pisano,et al.  The Development Factory: Unlocking the Potential of Process Innovation , 1996 .

[6]  Rami Musa,et al.  Tolerance-based process plan evaluation using Monte Carlo simulation , 2004 .

[7]  C. K. Kwong,et al.  Intelligent process design system for the transfer moulding of electronic packages , 2004 .

[8]  Karsten Schierholt,et al.  Process configuration: Combining the principles of product configuration and process planning , 2000, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[9]  Qiang Lu,et al.  Process development: a theoretical framework , 2006 .

[10]  Linda L. Zhang,et al.  A Petri Net Model of Process Platform-based Production Configuration , 2009, ICEIS.

[11]  Rakesh Nagi,et al.  A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities , 2004, J. Comput. Inf. Sci. Eng..

[12]  Linda L. Zhang,et al.  Process platform-based production configuration for mass customization , 2007 .

[13]  Denis Borenstein A directed acyclic graph representation of routing manufacturing flexibility , 2000, Eur. J. Oper. Res..

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

[15]  E. A. Van Veen,et al.  Modelling Product Structures by Generic Bills-of-Materials , 1992 .

[16]  Hmh Herman Hegge Intelligent product family descriptions for business applications : production control software based upon generic bills-of-material in an assemble-to-order/make-to-stock environment , 1995 .

[17]  Juha Hynynen,et al.  Using artificial intelligence technologies in production management , 1992 .

[18]  João Luiz Becker,et al.  State space representation of manufacturing operation plans in the presence of flexible routing capability , 2004, Int. J. Comput. Integr. Manuf..

[19]  Parisa Ghodous,et al.  Product Family Manufacturing Plan Generation and Classification , 2000, Concurr. Eng. Res. Appl..