Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 32, No. 3 (March 2019) 405-412   

PDF URL: http://www.ije.ir/Vol32/No3/C/8-3031.pdf  
downloaded Downloaded: 41   viewed Viewed: 62

  A NEW APPROACH APPLYING MULTI-OBJECTIVE OPTIMIZATION USING A TAGUCHI FUZZY-BASED FOR TOURIST SATISFACTION MANAGEMENT
 
M. Mansoursamaei, A. Hadighi and N. Javadian
 
( Received: August 01, 2017 – Accepted in Revised Form: March 09, 2018 )
 
 

Abstract    The paper describes the usage of the fuzzy Mamdani analysis and Taguchi method to optimize the tourism satisfaction in Thailand. The fuzzy reasoning system is applied to pursue the relationships among the options of a tour company in order to be used in Taguchi experiments as the responses. In this research, tourism satisfaction is carried out using L18 Taguchi orthogonal arrays on parameters such as budget, duration, hotel-choices, travel-options inside the country and theme of the travel are analyzed for one output objective as satisfaction. The output of the fuzzy reasoning system is used as an input in the response of each experiment in Taguchi method. But, the improvement is used for the mean de-fuzzified output in the same experiment. The result is estimated using Taguchi-Fuzzy application and if companies focus on the selected options, it is most probable to achieve more than 90 percent of satisfaction.

 

Keywords    Multi-objective Optimization; Taguchi Fuzzy-based; Tourism Industry; Satisfaction

 

چکیده   

در این مقاله با استفاده از روش فازی ممدانی و همچنین طراحی آزمایش¨های تاگوچی سطح رضایتمندی گردشگران بین¨المللی از کشور تایلند مورد ارزیابی قرار گرفته¨است. فاکتورهای تعیین شده برای رزرواسیون تورهای سیاحتی توسط متخصصین از: بودجه درنظر گرفته شده برای سفر، مدت اقامت، رتبه هتل(ستاره)، وسیله نقلیه در سفرهای بین شهری، نوع سفر(ماه عسل،دوستانه،گروه انبوه) تشکیل شده¨است. با استفاده از روش فازی ممدانی، فاکتور اول به شش طبقه و سایر فاکتورها هرکدام به سه طبقه فازی دسته بندی شده¨اند. با استفاده از نظر متخصصین، قوانین کلی برای رضایتمندی گردشگران درنظرگرفته شد. با تکیه بر این نظرات تخصصی، با درنظرگرفتن مدل سفر آن شخص و پارامترهای آن، که قطعا عددی غیرفازی است، نمونه¨ها در یک سیستم فازی بررسی می¨گردند. ازآنجائیکه خروجی¨های دیفازی شده تحلیل فازی ممدانی الزاما یکسان نخواهند بود، از نتایج حاصل میانگین¨گیری می-شود. (این متد تاکنون در هیچ یک ازتحقیقات گذشته در سطح بین¨الملل انجام نگرفته¨است، که این یک نوآوری در نوع خود است.) با استفاده از آرایه اورتوگنال L18، بطوریکه فاکتور اول دارای شش سطح و سایر فاکتورها سه¨سطحی می¨باشند، حاصل میانگین خروجی¨های دیفازی شده در سلول پاسخ آزمایش¨های تاگوچی وارد می¨گردد. پس از تحلیل توسط نرم¨افزار، سطحی که از هر فاکتور بیشترین مقدار نسبت سیگنال به اختلال را داشت، شناسایی می¨شود. در پایان با استفاده از پیش¨بینی تاگوچی، با قرار دادن سطوح بیرون کشیده شده از فاکتورها، نتایجی بدست می¨آید که قادر است سطح رضایتمندی توریسم را تا 90درصد افزایش دهد.

References   

1. Jariyachamsit, S., "An investigation of safety in tourism: An experience of young tourists in bangkok, thailand", Procedia-Social and Behavioral Sciences,  Vol. 197, (2015), 1931-1935.
2. Choovanichchannon, C., "Satisfaction in thai standard of tourism quality", Procedia-Social and Behavioral Sciences,  Vol. 197, (2015), 2110-2114.
3. Chaitip, P. and Chaiboonsri, C., "International tourists arrival to thailand: Forecasting by non-linear model", Procedia Economics and Finance,  Vol. 14, (2014), 100-109.
4. Ross, P.J. and Ross, P.J., "Taguchi techniques for quality engineering: Loss function, orthogonal experiments, parameter and tolerance design, McGraw-Hill New York,  (1988).
5. Yu, J. and Chang, C., "Characteristic analysis of the edmed surface of tungsten carbide using taguchi method", in International conference on precision engineering. Vol. 97, (1997), 657-663.
6. Alsaran, A., «elik, A. and «elik, C., "Determination of the optimum conditions for ion nitriding of aisi 5140 steel", Surface and Coatings Technology,  Vol. 160, No. 2-3, (2002), 219-226.
7. Marafona, J. and Wykes, C., "A new method of optimising material removal rate using edm with copperĖtungsten electrodes", International Journal of Machine Tools and Manufacture,  Vol. 40, No. 2, (2000), 153-164.
8. Babu, M.V., Kumar, R.K., Prabhakar, O. and Shankar, N.G., "Simultaneous optimization of flame spraying process parameters for high quality molybdenum coatings using taguchi methods", Surface and Coatings Technology,  Vol. 79, No. 1-3, (1996), 276-288.
9. Yang, L., "Plasma surface hardening of assab 760 steel specimens with taguchi optimisation of the processing parameters", Journal of Materials Processing Technology,  Vol. 113, No. 1-3, (2001), 521-526.
10. Elsayed, E. and Chen, A., "Optimal levels of process parameters for products with multiple characteristics", The International Journal of Production Research,  Vol. 31, No. 5, (1993), 1117-1132.
11. Antony, J., "Simultaneous optimisation of multiple quality characteristics in manufacturing processes using taguchi's quality loss function", The International Journal of Advanced Manufacturing Technology,  Vol. 17, No. 2, (2001), 134-138.
12. Lin, T.-R., "Optimisation technique for face milling stainless steel with multiple performance characteristics", The International Journal of Advanced Manufacturing Technology,  Vol. 19, No. 5, (2002), 330-335.
13. Juang, S. and Tarng, Y., "Process parameter selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel", Journal of Materials Processing Technology,  Vol. 122, No. 1, (2002), 33-37.
14. Tong, L.I. and Su., C.T., "Optimizing multi‐response problems in the taguchi method by fuzzy multiple attribute decision making", Quality and Reliability Engineering International,  Vol. 13, No. 1, (1997), 25-34.
15. Taguchi, G. and Konishi, S., "Taguchi methods, orthogonal arrays and linear graphs, tools for quality american supplier institute", American Supplier Institute,  (1987), 8-35.
16. Sreenivas, R., Ganesh Kumar, C., Prakasham, S. and Hobbs, P., "The taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal", Biotechnology Journal,  No. 4, (2008), 510-523.
17. Athreya, S. and Venkatesh, Y., "Application of taguchi method for optimization of process parameters in improving the surface roughness of lathe facing operation", International Refereed Journal of Engineering and Science,  Vol. 1, No. 3, (2012), 13-19.
18. Tzeng, Y.-f. and Chen, F.-c., "Multi-objective optimisation of high-speed electrical discharge machining process using a taguchi fuzzy-based approach", Materials & Design,  Vol. 28, No. 4, (2007), 1159-1168.
19. Koyee, R.D., Eisseler, R. and Schmauder, S., "Application of taguchi coupled fuzzy multi attribute decision making (fmadm) for optimizing surface quality in turning austenitic and duplex stainless steels", Measurement,  Vol. 58, (2014), 375-386.
20. Alimirzaloo, V. and Modanloo, V., "Investigation of the forming force in torsion extrusion process of aluminum alloy 1050", International Journal of Engineering,  Vol. 30, No. 6, (2017), 920-925.
21. Ozel, T. and Davim, P., "Intelligent machining, Wiley-IEEE Press,  (2009).
22. Hadighi, S.A., Sahebjamnia, N., Mahdavi, I., Asadollahpour, H. and Shafieian, H., "Mahalanobis-taguchi system-based criteria selection for strategy formulation: A case in a training institution", Journal of Industrial Engineering International,  Vol. 9, No. 1, (2013), 26.
23. Alimirzaloo, V., Modanloo, V. and Babazadeh Asbagh, E., "Experimental investigation of the effect of process parameters on the surface roughness in finishing process of chrome coated printing cylinders", International Journal of Engineering, Transactions C: Aspects,  Vol. 29, No. 12, (2016), 1775-1782.
24. Ross, T.J., "Fuzzy logic with engineering applications, John Wiley & Sons,  (2005).
25. Cherkassky, V. and Mulier, F.M., "Learning from data: Concepts, theory, and methods, John Wiley & Sons,  (2007).
26. Yel, E. and Yalpir, S., "Prediction of primary treatment effluent parameters by fuzzy inference system (FIS) approach", Procedia Computer Science,  Vol. 3, (2011), 659-665.
27. Hadighi, A. and Mahdavi, I., "A new model for strategy formulation using mahalanobis-taguchi system and clustering algorithm", Intelligent Information Management,  Vol. 3, No. 05, (2011), 198-206. 


Download PDF 



International Journal of Engineering
E-mail: office@ije.ir
Web Site: http://www.ije.ir