Abstract
Manufacturing resource configuration (MRC) plays a very important role in an e-Manufacturing system. Higher requirements for optimal configuration under online resource visibility and traceability have led to two main challenges. One is that more features of manufacturing tasks affecting the optimization results should be taken into consideration when establishing the MRC mathematical model for a manufacturing cell. The other is that manufacturing information should be given equal attention as MRC to realize real-time visibility and traceability of the resulting manufacturing cells. This paper presents a comprehensive mathematical model which considers more practical features of manufacturing tasks (e.g. batch volume and alternative processing routes) for manufacturing cell formation. This model adopts a fuzzy clustering method to group the manufacturing tasks and machines. Moreover, it is enabled by a smart equipment model to realize the configurable model of real-time manufacturing information and corresponding visualization and tracing methods. A case study is given to demonstrate the proposed models and methods.
Similar content being viewed by others
References
Benoit M., Jean-Marc F., Sophie A. D. (2000) A strategic framework for networked manufacturing. Computers in Industry 42(2–3): 299–317
Brewer A., Sloan N., Landers T. (1999) Intelligent tracking in manufacturing. Journal of Intelligent Manufacturing 10(3–4): 245–250
Brown E. C., Sumichrast R. C. (2001) CF-GGA: A grouping genetic algorithm for the cell formation problem. International Journal of Production Research 36(16): 3651–3669
Carrie S. (1973) Numerical taxonomy applied to group technology and plant layout. International Journal of Production Research 11(4): 399–416
Cheng K., Yaroslav P. (2003) Internet-enabled modelling of extended manufacturing enterprises using process-based techniques. International Journal of Advanced Manufacturing Technology 23(1/2): 148–153
Dick, S. (2001). Java TM technology powers e-manufacturing, White paper. ARC Advisory Group.
Dimopoulos C., Mort N. (2001) A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems. International Journal of Production Research 39(1): 1–19
Ertay T. (1998) Simulation approach in comparison of a pull system in a cell production system with a push system in a conventional production system according to flexible cost: A case study. International journal of production economics 56–57: 145–155
Gill A., Bector C. R. (1997) A fuzzy linguistic approach to data quantization and construction of distance measures for part family formation problem. International Journal of Production Research 35(9): 2565–2578
Huang G. Q., Zhang Y. F., Jiang P. Y. (2007) RFID-based wireless manufacturing for walking-worker assembly shops with fixed-position layouts. International Journal of Robotics and Computer Integrated Manufacturing 23(4): 469–477
Huang G. Q., Zhang Y. F., Jiang P. Y. (2008a) RFID-based wireless manufacturing for real-time management of job shop WIP inventories. International Journal of Advanced Manufacturing Technology 36: 752–764
Huang G. Q., Zhang Y. F., Newman S. (2008b) RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. Journal of Intelligent Manufacturing 19(6): 701–713
Jiang P., Fukuda S. (2001) TeleRP—An internet web-based solution for remote rapid prototyping service and maintenance. International Journal of Computer Integrated Manufacturing 14(1): 83–94
Jiang, P., & Fukuda, S. (2003). e-Manufacturing towards global manufacturing: A reference framework. In Proceedings of international conference on agile manufacturing (pp. 43–48). December 4–6, 2003, Beijing, China.
Jiang P., Fukuda S., Raper S. (2002) TeleDM: An internet web e-service testbed for fast product design supported by prototype manufacturing. Transactions of the ASME: Journal of Computing and Information Science in Engineering 2(2): 125–131
Johnson D. (2002) RFID tags improve tracking, quality on Ford line in Mexico. Control Engineering 49(11): 16–16
Kim, C., Kim, N., Kim, Y., Kang, S., & O’Grady, P. (1998). Internet-based concurrent engineering: An interactive 3D system with markup. In Proceedings of the CE’98 (pp. 555–563). Tokyo, Japan, July 15–18.
King J. R., Nakornchai V. (1982) Machine-component group formation in group technology: Review and extension. International Journal of Production Research 20(2): 117–133
Kohn W., Brayman V., Littleton J. (2005) Repair-control of enterprise systems using RFID sensory data. IIE Transactions 37(4): 281–290
Kusiak A. (2000) Computational intelligence in design and manufacturing. Wiley, New York, NY, USA
Lee J. et al (2003) E-manufacturing—Fundamental, tools, and transformation. International Journal of Robotics and Computer Integrated Manufacturing 19(5): 501–507
Li, Z., Gadh, R., & Prabhu, B. S. (2004). Applications Of RFID technology and smart parts in manufacturing. In Proceedings of DETC’04: ASME 2004 design engineering technical conferences and computers and information in engineering conference. September 28–October 2, 2004, Salt Lake City, Utah, USA.
McAuley J. (1972) Machine grouping for efficient production. Production Engineering 51: 53–57
Mehrabi M. G., Ulsoy A. G., Koren Y. (2000) Reconfigurable manufacturing systems: Key to future manufacturing. Journal of Intelligent Manufacturing 11(4): 413–419
Moon Y. B. (1990) Forming part families for cellular manufacturing: A neural network approach. International Journal of Advanced Manufacturing Technology 5(4): 278–291
Nof S. Y. (2003) Collaborative e-work and e-manufacturing: Challenges for production and logistics managers. Journal of Intelligent Manufacturing 17(6): 689–701
Rajagopalan R., Batra J. (1975) Design of cellular production systems a graph theoretic approach. International Journal of Production Research 13(6): 567–579
Restrepo I. M., Balakrishnan S. (2008) Fuzzy-based methodology for multi-objective scheduling in a robot-centered flexible manufacturing cell. Journal of Intelligent Manufacturing 19(4): 421–432
Satoglua, S. I., Durmusoglua, M. B., & Ertaya, T. (2009). A mathematical model and a heuristic approach for design of the hybrid manufacturing systems to facilitate one-piece flow. International Journal of Production Research. Online published, doi:10.1080/00207540903089544.
Shanker R., Vrat P. (1999) Some design issues in cellular manufacturing using the fuzzy programming approach. International Journal of Production Research 37(11): 2545–2563
Sundaram R. M., Lian W. (1990) Cellular manufacturing system design with alternative routing consideration. Manufacturing Review 3(2): 91–97
Tso S. K., Lau H. C. W., Ho J. K. L., Zhang W. J. (1999) A framework for developing an agent-based collaborative service-support system in a manufacturing information network. Engineering Applications of Artificial Intelligence 12(1): 43–57
Uddin M. K., Shanker K. (2002) Grouping of parts and machines in presence of alternative process routes by genetic algorithm. International Journal of Production Economics 76(3): 19–228
Udoka S. J. (1992) The role of automatic identification (Auto ID) in the computer integrated manufacturing (CIM) architecture. Computers and Industrial Engineering 23(1–4): 1–5
Waghodekar P. H., Sahu S. (1984) Machine-component cell formation in group technology: MACE. International Journal of Production Research 22(6): 937–948
Wang, F., & Wright, P. (1998). Internet-based design and manufacturing on an open architecture machine center (pp. 221–228). Japan-USA System on Flexible Automation, Otsu, Japan, July 12–15.
Wei N. C., Mejabi O. (2008) A clustering approach for minimizing intercell trips in cell formation. Journal of Intelligent Manufacturing 19(1): 13–20
Yasuda K., Yin Y. (2001) A dissimilarity measure for solving the cell formation problem in cellular manufacturing. Computers and Industrial Engineering 39(1–2): 1–17
Zhang Y. F., Jiang P. Y., Huang G. Q. (2008) RFID-based smart Kanbans for just-in-time manufacturing. International Journal of Materials and Product Technology 33(1–2): 170–184
Zhang, Y. F., Huang, G. Q., & Ngai, B. K. K. (2009). Case-based polishing process planning with Fuzzy Set Theory. International Journal of Intelligent Manufacturing. Online published, doi:10.1007/s10845-009-0259-9.
Zhang Y. F., Huang G., Qu T., Ho K. (2010a) Agent-based workflow management for RFID-enabled real-time reconfigurable manufacturing. International Journal of Computer Integrated Manufacturing 23(2): 101–112
Zhang, Y. F., Qu, T., Ho, K., & Huang, G. (2010b). Agent-based smart gateway for RFID-enabled real-time wireless manufacturing. International Journal of Production Research. Accepted for publication.
Zhao C. W., Wu Z. M. (2000) A genetic algorithm for manufacturing cell formation with multiple routes and multiple objectives. International Journal of Production Research 38(2): 385–395
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, Y., Jiang, P., Huang, G.Q. et al. Task-driven e-manufacturing resource configurable model. J Intell Manuf 23, 1681–1694 (2012). https://doi.org/10.1007/s10845-010-0470-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-010-0470-8