A tree unification approach to constructing generic processes

IIE Transactions (Institute of Industrial Engineers)

Volumn 41, Issue 10, 2009, Pages 916-929

  Zhang, Linda L ^a   Rodrigues, Brian ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

Generic process; Process family; Product family; Tree unification

Indexed keywords

CUSTOMIZED PRODUCTS; ELECTRONIC PRODUCT; GENERIC PROCESS; MANUFACTURING COMPANIES; PLANNING PROCESS; PRODUCT DIVERSITY; PRODUCT FAMILIES; PRODUCTION DATA; PRODUCTION PROCESS;

ELECTRONICS INDUSTRY; PRODUCTION ENGINEERING;

BINARY TREES;

EID: 70749128656     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170903026049     Document Type: Article

References (20)

1. Benjaafar, S. and Ramakrishnan, R. (1996) Modeling, measurement and evaluation of sequencing flexibility inmanufacturing systems. International Journal of Production Research, 34(5), 1195-1220.
2. Borenstein, D. (2000) A directed acyclic graph representation of routing manufacturing flexibility. European Journal of Operations Research 127(1), 78-93.
3. Borenstein,D. and Becker, J.L. (2004) State space representation of manufacturing operation plans in the presence of flexible routing capability. International Journal of Computer Integrated Manufacturing, 17(5), 451-466.
4. Forza, C. and Salvador, F. (2002) Managing for variety in the order acquisition and fulfillment process: The contribution of product configuration systems. International Journal of Production Economics 76(1), 87-98.
5. Hegge, H.M.H. (1995) Intelligent product family descriptions for business applications. Ph.D. Thesis, Eindhoven University of Technology, The Netherlands.
6. Homem de Mello, L.S. and Sanderson, A.C. (1990) AND/OR graph representation of assembly plans. IEEE Transactions on Robotics and Automation, 6(2), 188-199.
7. Huang, S.H., Liu, Q. and Musa, R. (2004) Tolerance-based process plan evaluation using Monte Carlo simulation. International Journal of Production Research, 42(23), 4871-4891.
8. Hunynen, J. (1992) Using artificial intelligence technologies in production management. Computers in Industry, 19(1), 21-35.
9. Lu, Q. and Botha, B. (2006) Process development: A theoretical framework. International Journal of Production Research, 44 (15), 2977-2996.
10. Martinez, M.T., Favrel, J. and Ghodous, P. (2000) Product family manufacturing plan generation and classification. Concurrent Engineering: Research and Applications, 8(1), 12-22.
11. Martinez, M.T., Sedqui, A. and Favrel, J. (1995) An agent-based system for dynamic control of arborescent assembly sequences, in Proceedings of the International Conference on CAD/CAM, CARS & FOF'95, Pereira, Columbia, pp. 121-126.
12. Romanowski, C.J. and Nagi, R. (2004) A data mining approach to forming generic bills of materials in support of variant design activities. Journal of Computing and Information Science in Engineering, 4 (4), 316-328.
13. Pisano, G.P. (1997) The Development Factory: Unlocking the Potential of Process Innovation, Harvard Business School Press, Boston, MA.
14. Schierholt, K. (2001) Process configuration: Combining the principles of product configuration and process planning. Artificial Intelligence for EngineeringDesign, Analysis and Manufacturing, 15(5), 411-424.
15. Tong, K.W., Kwong, C.K. and Yu, K.M. (2004) Intelligent process design system for the transfer molding of electronic packages. International Journal of Production Research, 42(10), 1911-1931.
16. Van Veen, E.A. (1992) Modeling Product Structures by Generic Bills-of- Materials, Elsevier, New York, NY.
17. Williams, C.B., Allen, J.K., Rosen, D.W. and Mistree, F. (2007) Designing platforms for customizable products and processes in markets of non-uniform demand. Concurrent Engineering: Research and Applications, 15(2), 201-216.
18. Zhang, L. (2007) Process platform-based production configuration for mass customization. Ph.D. Thesis, Nanyang Technological University, Singapore.
19. Zhang, L. and Rodrigues, B. (2009)A Petri net model of process platformbased production configuration. Computers in Industry, under review.
20. Zheng, L.Y., Dong, H.F., Vichare, P., Nassehi, A. and Newman, S.T. (2008) Systematic modeling and reusing of process knowledge for rapid process configuration. Robotics and Computer-Integrated Manufacturing 24(6), 763-772.