How to cite this paper
Mittal, K., Tewari, P & Khanduja, D. (2018). On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study.Management Science Letters , 8(4), 201-216.
Refrences
Awad, M., Erdmann, T. P., Shanshal, Y., & Barth, B. (2009). A Measurement System Analysis Approach for Hard-to-Repeat Events. Quality Engineering, 21(3), 300–305.
Chen, C. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9.
Chen, C., & Klein, C. (1997). An efficient approach to solving fuzzy MADM problems. Fuzzy Sets and Systems, 88(1), 51–67.
Dearden, H. T. (2014). Comparison Alarms for Detection of Measurement Faults. Measurement and Control, 47(9), 273–275.
Göndör, V., & Koczor, Z. (2010). Improvement of the Measurement System Analysis Using Experimental Design. Obuda University E-Bulletin, 1(1), 35–42.
Hajipour, V., Kazemi, A., & Mousavi, S. M. (2013). A fuzzy expert system to increase accuracy and precision in measurement system analysis. Measurement, 46(8), 2770–2780.
Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889–899.
Jones, B. E. (2013). Measurement: Past, Present and Future: Part 1 Measurement History and Fundamentals. Measurement and Control, 46(4), 108–114.
Kahraman, C., Beskese, A., & Kaya, I. (2010). Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision making methodology. International Journal of Production Research, 48(2), 547–566.
Kaushik, P., Khanduja, D., Mittal, K., & Jaglan, P. (2012). A case study: Application of Six Sigma methodology in a small and medium-sized manufacturing enterprise. The TQM Journal, 24(1), 4–16.
Kooshan, F. (2012). Implementation of Measurement System Analysis System ( MSA ): In the Piston Ring Company “ Case Study .” International Journal of Science and Technoligy, 2(10), 749–761.
Kwong, C., & Bai, H. (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. Iie Transactions, 35, 619–626.
Liu, H., Liu, L., Liu, N., & Mao, L. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39(17), 12926–12934.
Mittal, K., Tewari, P. C., & Khanduja, D. (2017a). On the Right Approach to Selecting a Quality Improvement Project in Manufacturing Industries. Operation Research and Decisions, 27(1), 105–124.
Mittal, K., Tewari, P. C., & Khanduja, D. (2017b). Productivity improvement under manufacturing environment using Shainin system and fuzzy analytical hierarchy process: a case study. The International Journal of Advanced Manufacturing Technology, 92(1-4), 407-421.
Mittal, K., Tewari, P. C., Khanduja, D., & Kaushik, P. (2016). Application of Fuzzy TOPSIS MADM approach in ranking & underlining the problems of plywood industry in India. Cogent Engineering, 3, 1–11.
Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
Rathi, R., Khanduja, D., & Sharma, S. K. (2015). Six Sigma Project selection using fuzzy TOPSIS decision making approach. Management Science Letters, 5, 447–456.
Saaty, T. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.
Sadjadi, S & Sadi-Nezhad, S. (2017). Ranking Canadian oil and gas projects using TOPSIS. Journal of Project Management, 2(3), 87-92.
Smith, M. R. R. D., McCrary, S. W., & Callahan, R. N. (2007). Gauge repeatability and reproducibility studies and measurement system analysis: A multimethod exploration of the state of practice. Journal Of Industrial Technology, 23(1), 1–12.
Wheeler, D. J. (2009). An Honest Gauge R&R Study. ASQ/ASA Fall Technical Conference, (189), 1–19.
Yadollahi Farsi, J., SiahkaliMoradi, J., & Jamali, B. (2012). Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers’ point of view; Case study: Iranian cell phone market. Decision Science Letters, 1(1), 23–32.
Zanobini, A., Sereni, B., Catelani, M., & Ciani, L. (2016). Repeatability and Reproducibility techniques for the analysis of measurement systems. Measurement, 86, 125–132.
Chen, C. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9.
Chen, C., & Klein, C. (1997). An efficient approach to solving fuzzy MADM problems. Fuzzy Sets and Systems, 88(1), 51–67.
Dearden, H. T. (2014). Comparison Alarms for Detection of Measurement Faults. Measurement and Control, 47(9), 273–275.
Göndör, V., & Koczor, Z. (2010). Improvement of the Measurement System Analysis Using Experimental Design. Obuda University E-Bulletin, 1(1), 35–42.
Hajipour, V., Kazemi, A., & Mousavi, S. M. (2013). A fuzzy expert system to increase accuracy and precision in measurement system analysis. Measurement, 46(8), 2770–2780.
Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & Operations Research, 20(8), 889–899.
Jones, B. E. (2013). Measurement: Past, Present and Future: Part 1 Measurement History and Fundamentals. Measurement and Control, 46(4), 108–114.
Kahraman, C., Beskese, A., & Kaya, I. (2010). Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision making methodology. International Journal of Production Research, 48(2), 547–566.
Kaushik, P., Khanduja, D., Mittal, K., & Jaglan, P. (2012). A case study: Application of Six Sigma methodology in a small and medium-sized manufacturing enterprise. The TQM Journal, 24(1), 4–16.
Kooshan, F. (2012). Implementation of Measurement System Analysis System ( MSA ): In the Piston Ring Company “ Case Study .” International Journal of Science and Technoligy, 2(10), 749–761.
Kwong, C., & Bai, H. (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. Iie Transactions, 35, 619–626.
Liu, H., Liu, L., Liu, N., & Mao, L. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39(17), 12926–12934.
Mittal, K., Tewari, P. C., & Khanduja, D. (2017a). On the Right Approach to Selecting a Quality Improvement Project in Manufacturing Industries. Operation Research and Decisions, 27(1), 105–124.
Mittal, K., Tewari, P. C., & Khanduja, D. (2017b). Productivity improvement under manufacturing environment using Shainin system and fuzzy analytical hierarchy process: a case study. The International Journal of Advanced Manufacturing Technology, 92(1-4), 407-421.
Mittal, K., Tewari, P. C., Khanduja, D., & Kaushik, P. (2016). Application of Fuzzy TOPSIS MADM approach in ranking & underlining the problems of plywood industry in India. Cogent Engineering, 3, 1–11.
Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
Rathi, R., Khanduja, D., & Sharma, S. K. (2015). Six Sigma Project selection using fuzzy TOPSIS decision making approach. Management Science Letters, 5, 447–456.
Saaty, T. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.
Sadjadi, S & Sadi-Nezhad, S. (2017). Ranking Canadian oil and gas projects using TOPSIS. Journal of Project Management, 2(3), 87-92.
Smith, M. R. R. D., McCrary, S. W., & Callahan, R. N. (2007). Gauge repeatability and reproducibility studies and measurement system analysis: A multimethod exploration of the state of practice. Journal Of Industrial Technology, 23(1), 1–12.
Wheeler, D. J. (2009). An Honest Gauge R&R Study. ASQ/ASA Fall Technical Conference, (189), 1–19.
Yadollahi Farsi, J., SiahkaliMoradi, J., & Jamali, B. (2012). Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers’ point of view; Case study: Iranian cell phone market. Decision Science Letters, 1(1), 23–32.
Zanobini, A., Sereni, B., Catelani, M., & Ciani, L. (2016). Repeatability and Reproducibility techniques for the analysis of measurement systems. Measurement, 86, 125–132.