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Growing Science » Decision Science Letters » Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 4 Issue 3 pp. 441-452 , 2015

Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry Pages 441-452 Right click to download the paper Download PDF

Authors: Rajeev Rathi, Dinesh Khanduja, S.K. Sharma

DOI: 10.5267/j.dsl.2015.1.005

Keywords: Analytical hierarchy process, Capacity waste, Centre less grinding, Fuzzy logic, MADM, Six Sigma

Abstract: Capacity waste management is highly essential because under utilization of capacity is often referred to as a major reason for lower productivity among industries around the world. For better estimation of capacity and its utilization and then for its improved management; newer techniques are being devised in industrial sector. The current case of capacity waste problem has been taken up as a Six Sigma project, where we try to analyze critical factors responsible for the capacity waste. Decisions on critical factor selection in analysis phase of Six Sigma are always very crucial. The paper discusses an approach for selection of capacity waste factors at an automotive industry using fuzzy logic based AHP method. The fuzzy AHP is a well recognized tool to undertake the fuzziness of the data involved in choosing the preferences of the different decision variables engaged in the process of capacity waste factors selection. In this context, we have explored six crucial parameters for selection of capacity waste factors. Final ranking is calculated through priority vector thus obtained and it is seen that conveyor malfunction is found to be the key factor for capacity waste among all alternatives at the selected site.

How to cite this paper
Rathi, R., Khanduja, D & Sharma, S. (2015). Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry.Decision Science Letters , 4(3), 441-452.

Refrences
Alp, O., & Tan, T. (2008). Tactical capacity management under capacity flexibility. IIE Transactions, 40(3), 221-237.

Antony, J. (2004). Some pros and cons of Six Sigma: an academic perspective. The TQM Magazine, 16(4), 303-306.

Antony, J., & Banuelas, R. (2002). Key ingredients for the effective implementation of Six Sigma program. Measuring Business Excellence, 6(4), 20-27.

Antony, J., & Fergusson, C. (2004). Six Sigma in the software industry: results from a pilot study. Managerial Auditing Journal, 19(8), 1025-1032.

Aya?, Z. (2007). A hybrid approach to machine-tool selection through AHP and simulation. International Journal of Production Research, 45(9), 2029-2050.

Aya?, Z., & ?zdemir, R. G. (2006). A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17(2), 179-190.

Baghestani, H. (2008). Predicting capacity utilization: Federal Reserve vs time-series models. Journal of Economics and Finance, 32(1), 47-57.

Bonde, A. (2000). Fuzzy logic basics. SiteTerrific Web Solutions. GTE, 2194.

Chan, F. T., Kumar, N., Tiwari, M., Lau, H., & Choy, K. (2008). Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research, 46(14), 3825-3857.

Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.

Chen, C.-b., & Klein, C. M. (1997). An efficient approach to solving fuzzy MADM problems. Fuzzy Sets and Systems, 88(1), 51-67.

Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.

Coronado, R. B., & Antony, J. (2002). Critical success factors for the successful implementation of six sigma projects in organisations. The TQM magazine, 14(2), 92-99.

Dedhia, N. S. (2005). Six sigma basics. Total Quality Management & Business Excellence, 16(5), 567-574.

Dur?n, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, 34(3), 1787-1794.

Eckes, G. (2002). The Six Sigma revolution: How General Electric and others turned process into profits: John Wiley & Sons.

Esposto, F., & Belt, M. B. (2009). Six sigma basics. USC Consulting group, link: six-sigma-basics41. pdf.

Farsijani, H., Nikabadi, M., & Amirimoghadam, H. (2015). Six sigma project selections using fuzzy network-analysis and fuzzy MADM. Decision Science Letters, 4(1), 87-96.

Felthoven, R. G., Horrace, W. C., & Schnier, K. E. (2009). Estimating heterogeneous capacity and capacity utilization in a multi-species fishery. Journal of Productivity Analysis, 32(3), 173-189.

Goh, T. N. (2002). A strategic assessment of Six Sigma. Quality and Reliability Engineering International, 18(5), 403-410.

Golden, B. L., Wasil, E. A., & Harker, P. T. (2003). Analytic hierarchy process: Springer.

Hahn, G. J., Hill, W. J., Hoerl, R. W., & Zinkgraf, S. A. (1999). The impact of Six Sigma improvement—a glimpse into the future of statistics. The American Statistician, 53(3), 208-215.

Hammesfahr, R. J., Pope, J. A., & Ardalan, A. (1993). Strategic planning for production capacity. International Journal of Operations & Production Management, 13(5), 41-53.

Huang, C.-C., Chu, P.-Y., & Chiang, Y.-H. (2008). A fuzzy AHP application in government-sponsored R & D project selection. Omega, 36(6), 1038-1052.

Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-394.

Kaviani, M., Abbasi, M., Yusefi, M., & Zareinejad, M. (2014). Prioritizing operation strategies of companies using fuzzy AHP and importance-performance matrix. Decision Science Letters, 3(3), 353-358.

Lee, A. H., Chen, W.-C., & Chang, C.-J. (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert systems with applications, 34(1), 96-107.

Li, T.-S., & Huang, H.-H. (2009). Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems. Expert systems with applications, 36(4), 8302-8312.

Meier, W., Weber, R., & Zimmermann, H.-J. (1994). Fuzzy data analysis—methods and industrial applications. Fuzzy sets and systems, 61(1), 19-28.

Neuman, R. P., & Cavanagh, R. (2000). The six sigma way: How GE, Motorola, and other top companies are honing their performance: McGraw Hill Professional.

Nguyen, H.-T., Dawal, S. Z. M., Nukman, Y., & Aoyama, H. (2014). A hybrid approach for fuzzy multi-attribute decision making in machine tool selection with consideration of the interactions of attributes. Expert Systems with Applications, 41(6), 3078-3090.

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.

Orr, S. (1999). The role of capacity management in manufacturing strategy: experiences from the Australian wine industry. Technology Analysis & Strategic Management, 11(1), 45-53.

Raisinghani, M. S., Ette, H., Pierce, R., Cannon, G., & Daripaly, P. (2005). Six Sigma: concepts, tools, and applications. Industrial Management & Data Systems, 105(4), 491-505.

Saaty, T. L. (1988). What is the analytic hierarchy process? : Springer.

Saaty, T. L. (1989). Group decision making and the AHP The Analytic Hierarchy Process (pp. 59-67): Springer.

Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26.

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98.

Sahoo, B. K., & Tone, K. (2009). Decomposing capacity utilization in data envelopment analysis: An application to banks in India. European Journal of Operational Research, 195(2), 575-594.

Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167.

Singh, B. J., & Khanduja, D. (2014). Perspectives of control phase to manage Six Sigma implements: an empirical study. International Journal of Business Excellence, 7(1), 88-111.

Snee, R. D. (2004). Six–Sigma: the evolution of 100 years of business improvement methodology. International Journal of Six Sigma and Competitive Advantage, 1(1), 4-20.

Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of operational research, 169(1), 1-29.

Varmazyar, M., & Nouri, B. (2014). A fuzzy AHP approach for employee recruitment. Decision Science Letters, 3(1), 27-36.

Vats, G., & Vaish, R. (2013). Piezoelectric material selection for transducers under fuzzy environment. Journal of Advanced Ceramics, 2(2), 141-148.

Weck, M., Klocke, F., Schell, H., & Rüenauver, E. (1997). Evaluating alternative production cycles using the extended fuzzy AHP method. European Journal of Operational Research, 100(2), 351-366.

Yadollahi Farsi, J., Siahkali Moradi, J., & Jamali, B. (2012). Which product would be chosen? A fuzzy VIKOR method for evaluation and selection of products in terms of customers & apos; point of view; Case study: Iranian cell phone market. Decision Science Letters, 1(1), 23-32.

Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.

Zadeh, L. A. (1997). Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy sets and systems, 90(2), 111-127.

Zedeh, L. (1989). Knowledge representation in fuzzy logic. Knowledge and Data Engineering, IEEE Transactions on, 1(1), 89-100.

Zhang, W. (2004). Handover decision using fuzzy MADM in heterogeneous networks. Paper presented at the Wireless Communications and Networking Conference, 2004. WCNC. 2004 IEEE.
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Journal: Decision Science Letters | Year: 2015 | Volume: 4 | Issue: 3 | Views: 5253 | Reviews: 0

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