Published at : 07 Jul 2014
Volume : IJtech
Vol 5, No 2 (2014)
DOI : https://doi.org/10.14716/ijtech.v5i2.402
Hendri D.S. Budiono | Mechanical Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok 16424, Indonesia |
Gandjar Kiswanto | Mechanical Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok 16424, Indonesia |
Tresna P. Soemardi | Mechanical Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok 16424, Indonesia |
Product manufacturing cost estimation in the early stages of the design process is useful for accelerating product time to market, reducing costs, and increasing quality in order to obtain products with a high level of competitiveness in the free market. Complexity and machining cost are important variables to estimate the final cost of the product. However, current cost estimation models only consider their calculations based on the design which has been determined beforehand, so that it is difficult to apply a cost estimation model early on in the design process because of minimal information. Therefore, in this research, a new method to produce a cost estimation model during the early stage of the design process is proposed. The new model was developed by correlating the cost calculation with the complexity of the machining process based on product features. By using this model, the designers are able to put through design changes quickly by modifying revisions at the manufacturing stage. In this paper, the development and implementation of the proposed cost estimation model which involves the milling process is known as the SPMF (Single Product Multi-Features) Product model is explained in detail. The proposed method shows that the SPMF Product model can be used to produce a manufacturing cost estimation based on process complexity.
Complexity, Cost estimation, Machining, Process
Adnan Niazi, et al. 2006. Product Cost Estimation: Technique Classification and Methodology
Review. Journal of Manufacturing Science and Engineering, Volume 128, pp. 563?575
Asiedu, Y., Gu, P., 2010. Product Life Cycle Cost Analysis: State of the Art Review.
International Journal of Production Research
Boothroyd. 2011. Product Design for Manufacture and Assembly. 3rd Edition. Boothroyd
Dewhurst Inc. and the University of Rhode Island, USA
Changqing Liu et al, 2013, A feature-based method for NC machining time estimation, Robotics
and Computer-Integrated Manufacturing 29 (2013) 8–14
Dewhurst, P., Boothroyd, G., 1988. Early Cost Estimating in Product Design. Journal of
Manufacturing Systems, Volume 7(3)
Duverli, P., Castelain, J.M., 1999. Cost Estimation Design Step: Parametric Method Versus
Case Based Reasoning Method, International Jurnal Advance Manufacturing Technology
El Maraghy, W.H., Urbanic, R., Jill, 2003. Modelling of Manufacturing Systems Complexity.
Intelligent Manufacturing Systems (IMS) Centre. Faculty of Engineering University of
Windsor, Windsor, Ontario, Canada
Jung, Jong–Yun., 2002. Manufacturing Cost Estimation for Machined Parts Based on
Manufacturing Features. Journal intelligent Manufacturing
MTI System, 2010. Costimator Standard Handbook 3rd edition
Nasr, E.S.A., Kamrani, A.K., 2006. A New Methodology for Extracting Manufacturing
Features From CAD system. Computers & Industrial Engineering, Volume 51, pp.
?415
Ou-Yang, C., Lin, T.S., 1997. Developing an Integrated Framework for Feature-based Early
Manufacturing Cost Estimation. International Journal Advanced Manufacturing
Technology. Springer-Verlag London Limited
Roy, R., Souchoroukov, P., Shehab, E., 2011. Detailed Cost Estimation in the Automotive
Industry: Data and Information Requirements. Int. J. Production Economics, Volume 133,
pp. 694?707
Shehab, E.M., Abdalla, H.S., 2001. Manufacturing Cost Modelling for Concurrent Product
Development, Robotics and Computer Integrated Manufacturing. Pergamon