How to cite this paper
Valavi, D & Pramod, V. (2017). A fuzzy- rough set approach to determine weights in maintenance quality function deployment.Decision Science Letters , 6(1), 37-48.
Refrences
Al-Najjar, B., & Alsyouf, I. (2000). Improving effectiveness of manufacturing systems using total quality maintenance. Integrated Manufacturing Systems, 11(4), 267-276.
Carnevalli, J. A., & Miguel, P. C. (2008). Review, analysis and classification of the literature on QFD-Types of research, difficulties and benefits. International Journal of Production Economics, 114(2), 737-754.
Chan, F. T. S., Lau, H. C. W., Ip, R. W. L., Chan, H. K., & Kong, S. (2005). Implementation of total productive maintenance: a case study. International Journal of Production Economics, 95(1), 71-94.
Chan, L. K., Kao, H. P., & Wu, M. L. (1999). Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods. International Journal of Production Research, 37(11), 2499-2518.
Chen, L. H., & Weng, M. C. (2006). An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research, 172(1), 230-248.
Dekker, R. (1996). Applications of maintenance optimization models: a review and analysis. Reliability Engineering & System Safety, 51(3), 229-240.
Duffuaa, S. O., & Ben-Daya, M. (1995). Improving maintenance quality using SPC tools. Journal of Quality in Maintenance Engineering, 1(2), 25-33.
Hunt, R. A., & Xavier, F. B. (2003). The leading edge in strategic QFD.International Journal of Quality & Reliability Management, 20(1), 56-73.
Kahraman, C., Ertay, T., & Büyüközkan, G. (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), 390-411.
Khoo, L. P., & Ho, N. C. (1996). Framework of a fuzzy quality function deployment system. International Journal of Production Research, 34(2), 299-311.
Ko, W. C., & Chen, L. H. (2014). An approach of new product planning using quality function deployment and fuzzy linear programming model. International Journal of Production Research, 52(6), 1728-1743.
Kwong, C. K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment.Journal of Intelligent Manufacturing, 13(5), 367-377.
Lazreg, M. (2010). Integrated model linking Maintenance Excellence, Six Sigma and QFD for process progressive improvement. Quality Management and Six Sigma, 67-87.
Lu, M. H., & Kuei, C. H. (1995). Strategic marketing planning: a quality function deployment approach. International Journal of Quality & Reliability Management, 12(6), 85-96.
McKone, K. E., Schroeder, R. G., & Cua, K. O. (2001). The impact of total productive maintenance practices on manufacturing performance. Journal of Operations Management, 19(1), 39-58.
Mechefske, C. K., & Wang, Z. (2003). Using fuzzy linguistics to select optimum maintenance and condition monitoring strategies. Mechanical Systems and Signal Processing, 17(2), 305-316.
Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5), 341-356.
Pawlak, Z. (1991). Rough sets: Theoretical aspects of reasoning about data (Vol. 9). Springer.
Pramod, V. R., Devadasan, S. R., & Jagathy Raj, V. P. (2006). Customer voice adoption for maintenance quality improvement through MQFD and its receptivity analysis. International Journal of Management Practice, 2(2), 83-108.
Pramod, V. R., Devadasan, S. R., & Jagathy Raj, V. P. (2007). Receptivity analysis of TPM among internal customers. International Journal of Technology, Policy and Management, 7(1), 75-88.
Pramod, V. R., Sampath, K., Devadasan, S. R., & Jagathy Raj, V. P. (2007). Multicriteria decision making in maintenance quality function deployment through the analytical hierarchy process. International Journal of Industrial and Systems Engineering, 2(4), 454-478.
Pramod, V. R., Devadasan, S. R., Jagathy Raj, V. P., & Murugesh, R. (2008). MQFD and its receptivity analysis of an Indian electronic switch manufacturing company. International Journal of Management Practice, 3(1), 82-95.
Ross, T. J. (2009). Fuzzy logic with engineering applications. John Wiley & Sons.
Sherwin, D. (2000). A review of overall models for maintenance management.Journal of Quality in Maintenance Engineering, 6(3), 138-164.
Verma, A. K., Srividya, A., & Prabhu Gaonkar, R. S. (2007). Technical Note: Fuzzy Set Solutions for Optimal Maintenance Strategy Selection. Opsearch,44(3), 261.
Wasserman, G. S. (1993). On how to prioritize design requirements during the QFD planning process. IIE transactions, 25(3), 59-65.
Yen, J., & Langari, R. (1998). Fuzzy logic: intelligence, control, and information. Prentice-Hall, Inc
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2008). A rough set enhanced fuzzy approach to quality function deployment. The International Journal of Advanced Manufacturing Technology, 37(5-6), 613-624.
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2010). Towards a QFD-based expert system: A novel extension of the fuzzy QFD methodology using rough set theory. Expert Systems with Applications, 37(12), 8888-8896.
Carnevalli, J. A., & Miguel, P. C. (2008). Review, analysis and classification of the literature on QFD-Types of research, difficulties and benefits. International Journal of Production Economics, 114(2), 737-754.
Chan, F. T. S., Lau, H. C. W., Ip, R. W. L., Chan, H. K., & Kong, S. (2005). Implementation of total productive maintenance: a case study. International Journal of Production Economics, 95(1), 71-94.
Chan, L. K., Kao, H. P., & Wu, M. L. (1999). Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods. International Journal of Production Research, 37(11), 2499-2518.
Chen, L. H., & Weng, M. C. (2006). An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research, 172(1), 230-248.
Dekker, R. (1996). Applications of maintenance optimization models: a review and analysis. Reliability Engineering & System Safety, 51(3), 229-240.
Duffuaa, S. O., & Ben-Daya, M. (1995). Improving maintenance quality using SPC tools. Journal of Quality in Maintenance Engineering, 1(2), 25-33.
Hunt, R. A., & Xavier, F. B. (2003). The leading edge in strategic QFD.International Journal of Quality & Reliability Management, 20(1), 56-73.
Kahraman, C., Ertay, T., & Büyüközkan, G. (2006). A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171(2), 390-411.
Khoo, L. P., & Ho, N. C. (1996). Framework of a fuzzy quality function deployment system. International Journal of Production Research, 34(2), 299-311.
Ko, W. C., & Chen, L. H. (2014). An approach of new product planning using quality function deployment and fuzzy linear programming model. International Journal of Production Research, 52(6), 1728-1743.
Kwong, C. K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment.Journal of Intelligent Manufacturing, 13(5), 367-377.
Lazreg, M. (2010). Integrated model linking Maintenance Excellence, Six Sigma and QFD for process progressive improvement. Quality Management and Six Sigma, 67-87.
Lu, M. H., & Kuei, C. H. (1995). Strategic marketing planning: a quality function deployment approach. International Journal of Quality & Reliability Management, 12(6), 85-96.
McKone, K. E., Schroeder, R. G., & Cua, K. O. (2001). The impact of total productive maintenance practices on manufacturing performance. Journal of Operations Management, 19(1), 39-58.
Mechefske, C. K., & Wang, Z. (2003). Using fuzzy linguistics to select optimum maintenance and condition monitoring strategies. Mechanical Systems and Signal Processing, 17(2), 305-316.
Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5), 341-356.
Pawlak, Z. (1991). Rough sets: Theoretical aspects of reasoning about data (Vol. 9). Springer.
Pramod, V. R., Devadasan, S. R., & Jagathy Raj, V. P. (2006). Customer voice adoption for maintenance quality improvement through MQFD and its receptivity analysis. International Journal of Management Practice, 2(2), 83-108.
Pramod, V. R., Devadasan, S. R., & Jagathy Raj, V. P. (2007). Receptivity analysis of TPM among internal customers. International Journal of Technology, Policy and Management, 7(1), 75-88.
Pramod, V. R., Sampath, K., Devadasan, S. R., & Jagathy Raj, V. P. (2007). Multicriteria decision making in maintenance quality function deployment through the analytical hierarchy process. International Journal of Industrial and Systems Engineering, 2(4), 454-478.
Pramod, V. R., Devadasan, S. R., Jagathy Raj, V. P., & Murugesh, R. (2008). MQFD and its receptivity analysis of an Indian electronic switch manufacturing company. International Journal of Management Practice, 3(1), 82-95.
Ross, T. J. (2009). Fuzzy logic with engineering applications. John Wiley & Sons.
Sherwin, D. (2000). A review of overall models for maintenance management.Journal of Quality in Maintenance Engineering, 6(3), 138-164.
Verma, A. K., Srividya, A., & Prabhu Gaonkar, R. S. (2007). Technical Note: Fuzzy Set Solutions for Optimal Maintenance Strategy Selection. Opsearch,44(3), 261.
Wasserman, G. S. (1993). On how to prioritize design requirements during the QFD planning process. IIE transactions, 25(3), 59-65.
Yen, J., & Langari, R. (1998). Fuzzy logic: intelligence, control, and information. Prentice-Hall, Inc
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2008). A rough set enhanced fuzzy approach to quality function deployment. The International Journal of Advanced Manufacturing Technology, 37(5-6), 613-624.
Zhai, L. Y., Khoo, L. P., & Zhong, Z. W. (2010). Towards a QFD-based expert system: A novel extension of the fuzzy QFD methodology using rough set theory. Expert Systems with Applications, 37(12), 8888-8896.