Abstract
Here we are developing a knowledge base for computer-aided process planning (CAPP). Machining features will be taken as input and process plan will be generated automatically using knowledge base. Knowledge base basically contains a set of defining rules that system uses for decision-making. We will be using multi-criteria decision-making (MCDM) technique to develop our knowledge-based rules for a given part family. We are considering masterpiece of that family which includes all operations used by family members. This masterpiece will give us useful criteria for decision-making. Hence, we will be linking CAD and CAM in an automated manner.
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References
Ataei, E. (2013). Application of TOPSIS and fuzzy TOPSIS methods for plant layout design. World Applied Sciences Journal, 23(12), 48–53.
Giusti, F., Santochi, M., & Dini, G. (1989). KAPLAN: A knowledge-based approach to process planning of rotational parts. Annals of the CRIP, 38(1), 481–484.
Jain, V., & Raj, T. (2013). Ranking of flexibility in flexible manufacturing system by using a combined multiple attribute decision making method. Global Journal of Flexible Systems Management, 14(3), 125–141.
Khoshnevis, B., & Tan, W. (1995). Automated process planning for hole-making. American Society of Mechanical Engineers Manufacturing Review, 8(2), 106–113.
Lin, Z. C., & Yang, C. B. (1995). An expert system for fixturing design for face milling using modular fixture. International Journal of Advanced Manufacturing Technology, 10(6), 379–388.
Marri, H. B., Gunasekaran, A., & Grieve, R. J. (1998). Computer-aided process planning: A state of art. International Journal of Advanced Manufacturing Technology, 14(4), 261–268.
Van’t Erve, A. H., & Kals, H. J. J. (1986). XPLANE, a generative computer aided process planning system for part manufacturing. Annals of the CRIP, 35(1), 325–329.
Wong, T. N., & Siu, S. L. (1995). A knowledge based approach to automated machining process selection and sequencing. International Journal of Production Research, 33(12), 3465–3484.
Yeo, S. H. (1994). Knowledge-based feature recognizer for machining. Computer Integrated Manufacturing Systems, 7(1), 29–37.
Yeo, S. H., Wong, Y. S., & Rahman, M. (1991). Integrated knowledge-based machining system for rotational parts. International Journal of Production Research, 29(7), 1325–1337.
Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. D. (2016). Development of TOPSIS method to solve complicated decision-making problems: An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15(3), 645–682.
Zhao, Y., Ridgway, K., & Ahmari, A. M. A. A. (2002). Integration of CAD and a cutting tool selection system. Computers & Industrial Engineering, 42(1), 17–34.
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Todakar, P., Kumar, U., Agrawal, S. (2018). Computer-Aided Process Planning Using Multi-criteria Decision-Making Technique. In: Sushil, Singh, T., Kulkarni, A. (eds) Flexibility in Resource Management. Flexible Systems Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-4888-3_9
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DOI: https://doi.org/10.1007/978-981-10-4888-3_9
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