Abstract
Mass customization strategies could be usefully deployed by companies whose products are characterized by a modular design. Typically, each module serves a specific aspect of the overall product function at varying performance levels. Each product variant (constructed through a unique combination of modular performance levels), therefore, serves to customize the overall performance of the product, thus serving the unique needs of each customer. The high demand for each module guarantees economies of scale and, eventually, low cost to customer. The rationale of configuring production processes for producing individual product variants originates from the fact that massive process data is commonly available in a firm and there exists a generic process structure underlying the production of similar products in a family. To design a decision support mechanism that constructs process configuration corresponding to a given product configuration, this paper develops a formal modeling of process variety using Petri nets. Object-oriented Petri nets (PNs) with changeable structures (OPNs-CS) are applied to deal with the issues of generic representation, constraints compliance, and operational sequence requirements. Object-oriented PN (OPN) models facilitate generic representation of product and process variety as well as their instantiations. The OPNs-CS model is tested with simulation. Based on simulation results, the optimal configuration of production processes can be determined for each individual product as well as the cohort of a product family. To illustrate the feasibility and potential of OPNs-CS based process variety modeling, a case study of process configuration for mass customized textile spindles is reported.
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References
Du, X. H., Jiao, J. X., and Tseng, M. M., “Architecture of Product Family: Fundamentals and Methodology,” Concurrent Engineering: Research and Application, Vol. 9, pp. 309–325 (2001).
Hill, T. J., “Operations Management: Strategic Context and Managerial Analysis,” Palgrave (2000).
Ho, T. H. and Tang, C. S., Product Variety Management: Research Advances, Kluwer Academic Publishers, Boston/Dordrecht/London (1998).
Kolisch, R., “Integration of Assembly and Fabrication for Make-to-Order Production,” International Journal of Production Economics, Vol. 68, No. 3, pp. 287–306 (2000).
Jensen, K., Colored Petri Nets: Basic Concepts, Analysis Methods and Practical Use, Vol. 1, Springer-Verlag, New York (1992).
Jiang, Z., Zuo, M. J., and Fung, R. Y. K., “Stochastic Object-Oriented Petri Nets (SOPNs) for Reliability Modeling of Manufacturing Systems,” in Proceedings of the 1999 IEEE Canadian Conference on Electrical and Computer Engineering, Alberta, Canada (1999a).
Jiang, Z., Zuo, M. J., Tu, P. Y., and Fung, R. Y. K., “Object-Oriented Petri Nets with Changeable Structure (OPNs-CS) for Production System Modeling,” International Journal of Advanced Manufacturing Technology, Vol. 15, pp. 445–458 (1999b).
Jiao, J. X. and Tseng, M. M., “Customizability Analysis in Design for Mass Customization,” Computer-Aided Design, Vol. 36, pp. 745–757 (2004).
Jiao, J. X., Tseng, M. M., Ma, Q., and Zou, Y., “Generic Bill of Materials and Operations for High-Variety Production Management,” Concurrent Engineering: Research and Application, Vol. 8, No. 4, pp. 297–322 (2000).
Jiao, J. X., Zhang, L.F., and Pokharel, S., “Process Platform Planning for Mass Customization,” in Proceedings of the 2nd Interdisciplinary World Congress on Mass Customization and Personalization, Munich, Germany (2003).
Mittal, S. and Frayman, F., “Towards a Generic Model of Configuration Tasks,” in Proceedings of the 11th International Joint Conference on Artificial Intelligence, Detroit, MI, pp. 1395–1401 (1989).
Moore, K. E. and Gupta, S. M, “Petri Nets Models of Flexible and Automated Manufacturing Systems: A Survey,” International Journal of Production Research, Vol. 34, No. 11, pp. 3001–3035 (1996).
Pine, B. J., Mass Customization: The New Frontier in Business Competition, Harvard Business School Press, Boston (1993).
Shierholt, K., “Process Configuration: Combining the Principles of Product Configuration and Process Planning,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 15, pp. 411–424 (2001).
Thomas, J. P., Nissanke, N., and Baker, K. D., “A Hierarchical Petri Net Framework for the Representation and Analysis of Assembly,” IEEE Transactions on Robotics and Automation, Vol. 12, No. 2, pp. 268–279 (1996).
Trostmann, E., Conrad, E., Holm, H., and Madsen, O., “Cybernetic Modeling and Control in Integrated Production Systems- A Project Overview, in “Proceedings of the 8th IPS Research Seminar, Fuglso, Denmark (1993).
Suzuki, T., Kanehara, T., Inaba, A., and Okuma, S., “On Algebraic and Graph Structural Properties of Assembly Petri Nets,” in Proceedings of IEEE International Conference on Robotics and Automation, Atlanta, GA (1993).
van Veen, E. A., Modeling Product Structures by Generic Bills -of-Materials, Elsevier, New York (1992).
Yu, H., Reyes, A., Cang, S., and Lloyd, S., “Combined Petri Net Modeling and AI Based Heuristic Hybrid Search for Flexible Manufacturing Systems–Part 1,” Petri Net Modeling and Heuristic Search, Computers & Industrial Engineering, Vol. 44, No. 4, pp. 527–543 (2003).
Wang, L. C., “Object-Oriented Petri Nets for Modeling and Analysis of Automated Manufacturing Systems,” Computer Integrated Manufacturing Systems, Vol. 26, No. 2, pp. 111–125 (1996a).
Wang, L. C., “An Integrated Object-Oriented Petri Net Paradigm for Manufacturing Control Systems,” International Journal of Computer Integrated Manufacturing, Vol. 9, No. 1, pp. 73–87 (1996b).
Wortmann, J. C., Muntslag, D. R., and Timmermans, P. J. M., Customer-Driven Manufacturing, Chapman and Hall, London (1997).
Zhang, L. F., Jiao, J. X., and Pokharel, S., “Internet-Enabled Information Management for Configure-to-Order Product Fulfillment,” Asia Pacific Management Review, Vol. 9, No. 5, pp. 851–876 (2004).
Zhang, W., “Representation of Assembly and Automatic Robot Planning by Petri Net, “IEEE Transactions on Systems, Man and Cybernetics, Vol. 19, No. 2, pp. 418–422 (1989).
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(Roger) Jiao, J., Zhang, L. & Prasanna, K. Process Variety Modeling for Process Configuration in Mass Customization: An Approach Based on Object-Oriented Petri Nets with Changeable Structures. Int J Flex Manuf Syst 16, 335–361 (2004). https://doi.org/10.1007/s10696-005-5171-9
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DOI: https://doi.org/10.1007/s10696-005-5171-9