How to cite this paper
Defersha, F., Salam, A & Bhuiyan, N. (2012). A new approach for product cost estimation using data envelopment analysis.International Journal of Industrial Engineering Computations , 3(5), 817-828.
Refrences
Adler, N., Friedman, L., & Sinuany-Stern, Z. (2002). Review of ranking methods in the data envelopment analysis context. European Journal of Operational Research, 140, 249–265.
Andersen, P., & Petersen, N. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261–1294.
Bode, J. (1998). Decision support with neural networks in the management of research and development: Concepts and applications to cost estimation. Information & Management, 34, 33–40.
Bode, J. (2000). Neural networks for cost estimation: Simulation and pilot applications. International Journal of Production Research, 38, 1231–1254.
Caputo, A. C., & Pelagagge, P. M. (2008). Parametric and neural methods for cost estimation of process vessels. International Journal of Production Economics, 112, 934–954.
Cavalieri, S., Maccarrone, P., & Pinto, R. (2004). Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry. International Journal of Production Economics, 91, 165–177.
Chan, K. Y., Kwong, C. K., & Tsim, Y. C. (2010). A genetic programming based fuzzy regression approach to modeling manufacturing processes. International Journal of Production Research, 48, 1967–1982.
Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operations Research, 2, 429–444.
Dean, E. P. (2005). Parametric cost deployment. Proceedings of the Seventh Symposium on Quality Function Deployment.USA, 27–34.
Dura, O., Rodriguez, N., & Consalter, L. A. (2009). Neural networks for cost estimation of shell and tube heat exchangers. Expert Systems with Applications, 36, 7435–7440.
Foussier, P. M. M. (2006). From Product Description to Cost: A Practical Approach. Vol. 2, Building a Specific Model. Berlin: Springer.
Layer, A., Brine, E. T., Van, H. F., Kals, H., & Haasis, S.(2002). Recent and future trends in cost estimation.International Journalof Computer Integrated Manufacturing, 15, 499–510.
Pandya, A. S., & Macy, R. B.(1996).Pattern Recognition with Neural Networks in C++.Florida: CRC Press.
Phaobunjong, K. & Popescu, C. M. (2003). Parametric cost estimating model for buildings. AACE International Transactions.
Seo, K. K., Park, J. H., Jang, D. S., & Wallace, D. (2002). Prediction of the life cycle cost using statistical and artificial neural network methods in conceptual product design. Journal of Computer Integrated Manufacturing, 15, 541–554.
Verlinden, B., Du?ou, J. R., Collin, P., & Cattrysse, D.(2008). Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study. International Journal of Production Economics, 111, 484–492.
Zhang, Y. F., Fuh, J. Y., & Chan, W. T.(1996).Feature-based cost estimation for packaging products using neural networks. Computers in Industry, 32, 95–113.
Zhang, Y. F. & Fuh, J. Y. H.(1998). A neural network approach for early cost estimation of packaging products. Computers & Industrial Engineering, 34, 433–450.
Zheng, G. & Zhang, P.(2006).Meta-heuristic algorithms for parameter estimation of semi-parametric linear regression models. Computational Statistics & Data Analysis, 51, 801–808.
Andersen, P., & Petersen, N. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261–1294.
Bode, J. (1998). Decision support with neural networks in the management of research and development: Concepts and applications to cost estimation. Information & Management, 34, 33–40.
Bode, J. (2000). Neural networks for cost estimation: Simulation and pilot applications. International Journal of Production Research, 38, 1231–1254.
Caputo, A. C., & Pelagagge, P. M. (2008). Parametric and neural methods for cost estimation of process vessels. International Journal of Production Economics, 112, 934–954.
Cavalieri, S., Maccarrone, P., & Pinto, R. (2004). Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry. International Journal of Production Economics, 91, 165–177.
Chan, K. Y., Kwong, C. K., & Tsim, Y. C. (2010). A genetic programming based fuzzy regression approach to modeling manufacturing processes. International Journal of Production Research, 48, 1967–1982.
Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operations Research, 2, 429–444.
Dean, E. P. (2005). Parametric cost deployment. Proceedings of the Seventh Symposium on Quality Function Deployment.USA, 27–34.
Dura, O., Rodriguez, N., & Consalter, L. A. (2009). Neural networks for cost estimation of shell and tube heat exchangers. Expert Systems with Applications, 36, 7435–7440.
Foussier, P. M. M. (2006). From Product Description to Cost: A Practical Approach. Vol. 2, Building a Specific Model. Berlin: Springer.
Layer, A., Brine, E. T., Van, H. F., Kals, H., & Haasis, S.(2002). Recent and future trends in cost estimation.International Journalof Computer Integrated Manufacturing, 15, 499–510.
Pandya, A. S., & Macy, R. B.(1996).Pattern Recognition with Neural Networks in C++.Florida: CRC Press.
Phaobunjong, K. & Popescu, C. M. (2003). Parametric cost estimating model for buildings. AACE International Transactions.
Seo, K. K., Park, J. H., Jang, D. S., & Wallace, D. (2002). Prediction of the life cycle cost using statistical and artificial neural network methods in conceptual product design. Journal of Computer Integrated Manufacturing, 15, 541–554.
Verlinden, B., Du?ou, J. R., Collin, P., & Cattrysse, D.(2008). Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study. International Journal of Production Economics, 111, 484–492.
Zhang, Y. F., Fuh, J. Y., & Chan, W. T.(1996).Feature-based cost estimation for packaging products using neural networks. Computers in Industry, 32, 95–113.
Zhang, Y. F. & Fuh, J. Y. H.(1998). A neural network approach for early cost estimation of packaging products. Computers & Industrial Engineering, 34, 433–450.
Zheng, G. & Zhang, P.(2006).Meta-heuristic algorithms for parameter estimation of semi-parametric linear regression models. Computational Statistics & Data Analysis, 51, 801–808.