Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes15-13399
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 15 article 439 pages: 258 - 271

Leon Oblak
University of Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia

Manja Kitek Kuzman
University of Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia

Petra Grošelj
University of Ljubljana, Biotechnical Faculty, Ljubljana, Slovenia

In an increasingly competitive market, companies must look for new ways to gain competitive advantage. One of these ways is the provision of services. This article presents a multicriteria model for analysis and evaluation of services in a manufacturing company. We divided the services that the manufacturing company can offer to its customers into pre-sales, sales and after-sales services. In the second phase we developed a specific model for the furniture industry. The model was tested with information obtained in a survey by eight kitchen manufacturers from four European countries and was applied to determine the level of services offered. Results have shown that the model canbe a useful tool when evaluating the competitiveness of individual manufacturing companies in terms of service provision. Based on the results, companies can develop their business strategies to meet the needs and expectations of potential customers from this perspective as well.

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Afrinaldi, F., & Zhang, H.-C. (2014). A fuzzy logic based aggregation method for life cycle impact assessment. Journal of Cleaner Production, 67, 159–172.

Ahmad, S., & Butt, M. M. (2012). Can after sale service generate brand equity? Marketing Intelligence & Planning, 30(3), 307–323

Ahn, J. S., & Sohn, S. Y. (2009). Customer pattern search for after-sales service in manufacturing. Expert Systems with Applications, 36(3, Part 1), 5371–5375.

Alzola, L. M., & Robaina, V. P. (2010). The impact of pre-sale and post-sale factors on online purchasing satisfaction: A survey. International Journal of Quality & Reliability Management, 27(2), 121–137.

Ananda, J., & Herath, G. (2003). The use of analytic hierarchy process to incorporate stakeholder preferences into regional forest planning. Forest Policy and Economics, 5(1), 13–26.

Brady, M. K., & Cronin, J. J. J. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65(3), 34–49.

Brax, S. (2005). A manufacturer becoming service provider – Challenges and a paradox. Managing Service Quality: An International Journal, 15(2), 142–155.

Buera, F. J., & Kaboski, J. P. (2012). The rise of the service economy. American Economic Review, 102(6), 2540–2569.

Camastra, F., Ciaramella, A., Giovannelli, V., Lener, M., Rastelli, V., Staiano, A., . . . Starace, A. (2015). A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference. Expert Systems with Applications, 42(3), 1710–1716.

Carbajal-Hernandez, J. J., Sanchez-Fernandez, L. P., Carrasco-Ochoa, J. A., & Martinez- Trinidad, J. F. (2012a). Assessment and prediction of air quality using fuzzy logic and autoregressive models. Atmospheric Environment, 60, 37–50.

Carbajal-Hernandez, J. J., Sanchez-Fernandez, L. P., Carrasco-Ochoa, J. A., & Martinez-

Trinidad, J. F. (2012b). Immediate water quality assessment in shrimp culture using fuzzy inference systems. Expert Systems with Applications, 39(12), 10571–10582.

Carreno, M. L., Cardona, O. D., & Barbat, A. H. (2011). New methodology for urban seismic risk assessment from a holistic perspective. Bulletin of Earthquake Engineering, 10(2), 547–565.

Chai, J., Liu, J. N. K., & Ngai, E. W. T. (2013). Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Systems with Applications, 40(10), 3872–3885.

Chang, P.-C., & Liu, C.-H. (2008). A TSK type fuzzy rule based system for stock price prediction. Expert Systems with Applications, 34(1), 135–144.

Che Osmi, S. F., Malek, M. A., Yusoff, M., Azman, N. H., & Faizal, W. M. (2016). Development of river water quality management using fuzzy techniques: A review. International Journal of River Basin Management, 1–12.

Cronin Jr, J. J., & Taylor, S. A. (1992). Measuring service quality: A reexamination and extension. Journal of Marketing, 56(3), 55– 68.

Donevska, K. R., Gorsevski, P. V., Jovanovski, M., & Peševski, I. (2011). Regional non-hazardous landfill site selection by integrating fuzzy logic, AHP and geographic information systems. Environmental Earth Sciences, 67(1), 121–131.

Fazlzadeh, A., Bagherzadeh, F., & Mohamadi, P. (2011). How after-sales service quality dimensions affect customer satisfaction. African Journal of Business Management, 5(17), 7658–7664.

Fisher, B. E. A. (2006). Fuzzy approaches to environmental decisions: Application to air quality. Environmental Science & Policy, 9(1), 22–31.

Frei, F. X. (2008). The four things a service business must get right. Harvard business review, 86(4), 70–80, 136.

Gaiardelli, P., Saccani, N., & Songini, L. (2007). Performance measurement of the after- sales service network: Evidence from the automotive industry. Computers in Industry, 58(7), 698–708.

Gharibi, H., Mahvi, A. H., Nabizadeh, R., Arabalibeik, H., Yunesian, M., & Sowlat, M. H. (2012). A novel approach in water quality assessment based on fuzzy logic. Journal of Environmental Management, 112, 87–95.

Godley, A. C. (2013). Entrepreneurial opportunities, implicit contracts, and market making for complex consumer goods. Strategic Entrepreneurship Journal, 7(4), 273–287.

Goepel, K. D. (2013). Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises – a new AHP Excel template with multiple inputs. Paper presented at the International Symposium on the Analytic Hierarchy Process, Kuala Lumpur.

Gronroos, C., & Ojasalo, K. (2004). Service productivity: Towards a conceptualization of the transformation of inputs into economic results in services. Journal of Business Research, 57(4), 414–423.

Gummesson, E. (1991). Truths and myths in service quality. International Journal of Service Industry Management, 2(3), 7-16. Gummesson, E. (1998). Productivity, quality and relationship marketing in service operations. International Journal of Contemporary Hospitality Management, 10(1), 4–15. Gummesson, E. (2014). Productivity, quality and relationship marketing in service operations: A revisit in a new service paradigm. International Journal of Contemporary Hospitality Management, 26(5), 656–662.

Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16–24.

Hoekman, B., & Mattoo, A. (2012). Services trade and growth. International Journal of Services Technology and Management, 17(2-4), 232–250.

Jamshidi, A., Yazdani-Chamzini, A., Yakhchali, S. H., & Khaleghi, S. (2013). Developing a new fuzzy inference system for pipeline risk assessment. Journal of Loss Prevention in the Process Industries, 26(1), 197–208.

Johnson, M. D., Gustafsson, A., Andreassen, T. W., Lervik, L., & Cha, J. (2001). The evolution and future of national customer satisfaction index models. Journal of Economic Psychology, 22(2), 217–245.

Jones, P. (1988). Quality, capacity and productivity in service industries. International Journal of Hospitality Management, 7(2), 104–112.

Joss, B. N., Hall, R. J., Sidders, D. M., & Keddy, T. J. (2008). Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada. Environmental Monitoring and Assessment, 141(1-3), 79–96.

Juang, Y.-S., Lin, S.-S., & Kao, H.-P. (2007). Design and implementation of a fuzzy inference system for supporting customer requirements. Expert Systems with Applications, 32(3), 868–878.

Kasper, H., & Lemmink, J. (1989). After sales service quality: Views between industrial customers and service managers. Industrial Marketing Management, 18(3), 199–208.

Koul, S., & Verma, R. (2011). Dynamic vendor selection based on fuzzy AHP. Journal of Manufacturing Technology Management, 22(8), 963–971.

Kovac, P., Rodic, D., Pucovsky, V., Savkovic, B., & Gostimirovic, M. (2012). Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing. Journal of Intelligent Manufacturing, 24(4), 755–762.

Lima Junior, F. R., Osiro, L., & Carpinetti, L. C. R. (2013). A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules. Applied Soft Computing, 13(10), 4133–4147.

Luzon, B., & El-Sayegh, S. M. (2016). Evaluating supplier selection criteria for oil and gas projects in the UAE using AHP and Delphi. International Journal of Construction Management, 16(2), 175–183.

Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man- Machine Studies, 7(1), 1–13. McLaughlin, C. P., & Coffey, S. (1990). Measuring productivity in services. International Journal of Service Industry Management, 1(1), 46-64.

Monjezi, M., & Rezaei, M. (2011). Developing a new fuzzy model to predict burden from rock geomechanical properties. Expert Systems with Applications, 38(8), 9266–9273.

Murali, S., Pugazhendhi, S., & Muralidharan, C. (2016a). Assessment of impact of after sales service attributes on customer satisfaction for a home-appliances manufacturing firm. International Journal of Enterprise Network Management, 7(1), 27–41.

Murali, S., Pugazhendhi, S., & Muralidharan, C. (2016b). Modelling and investigating the relationship of after sales service quality with customer satisfaction, retention and loyalty – A case study of home appliances business. Journal of Retailing and Consumer Services, 30, 67–83.

Muyeed, M. A. (2012). Customer perception on service quality in retail banking in developing countries - A case study. International Journal of Marketing Studies, 4(1), 116–122.

Nabavi, V., Azizi, M., & Faezipour, M. (2014). Implementation of quality management system based on ISO9001:2008 and its effects on customer satisfaction case study: Kitchen worktops factory. International Journal of Quality & Reliability Management, 31(8), 921–937.

Nadali, A. Kakhky, E. N., & Nosratabadi, H. E. (2011, 8-10 April 2011). Evaluating the success level of data mining projects based on CRISP-DM methodology by a Fuzzy expert system. Paper presented at the Electronics Computer Technology (ICECT), 2011 3rd International Conference

Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M. Z. A., Mohamad Zin, R., Chugtai, M. W., . . . Aminu Yakubu, D. (2015). A knowledgebased expert system for assessing the performance level of green buildings. Knowledge- Based Systems, 86, 194–209.

Noorul Haq, A., & Kannan, G. (2006). Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model. The International Journal of Advanced Manufacturing Technology, 29(7), 826–835.

Ocampo-Duque, W., Ferre-Huguet, N., Domingo, J. L., & Schuhmacher, M. (2006). Assessing water quality in rivers with fuzzy inference systems: A case study. Environment International, 32(6), 733–742.

Pakdil, F., Işın, F. B., & Genc, H. (2012). A quality function deployment application using qualitative and quantitative analysis in after sales services. Total Quality Management & Business Excellence, 23(11–12), 1397-1411.

Pathak, J., Vidyarthi, N., & Summers, S. L. (2005). A fuzzy - based algorithm for auditors to detect elements of fraud in settled insurance claims. Managerial Auditing Journal, 20(6), 632–644.

Pezdevšek Malovrh, Š., Kurttila, M., Hujala, T., Karkkainen, L., Leban, V., Lindstad, B. H., . . . Krč, J. (2016). Decision support framework for evaluating the operational environment of forest bioenergy production and use: Case of four European countries. Journal of Environmental Management, 180, 68-81.

Posselt, T., & Gerstner, E. (2005). Pre-sale vs. post-sale e-satisfaction: Impact on repurchase intention and overall satisfaction. Journal of Interactive Marketing, 19(4), 35–47. Ratnayake, R. M. C. (2014). Application of a fuzzy inference system for functional failure risk rank estimation: RBM of rotating equipment and instrumentation. Journal of Loss Prevention in the Process Industries, 29, 216–224.

Rigopoulou, I. D., Chaniotakis, I. E., Lymperopoulos, C., & Siomkos, G. I. (2008). After- sales service quality as an antecedent of customer satisfaction: The case of electronic appliances. Managing Service Quality: An International Journal, 18(5), 512–527.

Rodriguez, A., Ortega, F., & Concepcion, R. (2016). A method for the evaluation of risk in IT projects. Expert Systems with Applications, 45, 273–285.

Ross, T. J. (2004). Fuzzy logic with engineering applications. New York: Wiley.

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.

Saaty, T. L. (2006). Fundamentals of decision making and priority theory with the analytic hierarchy process. Pittsburgh: RWS Publications.

Saaty, T. L., & Ozdemir, M. S. (2003). Why the magic number seven plus or minus two. Mathematical and Computer Modelling, 38(3- 4), 233–244.

Saaty, T. L., & Peniwati, K. (2008). Group decision making: Drawing out and reconciling differences. Pittsburgh, PA: RWS Publications. Saaty, T. L., & Vargas, L. G. (2007). Dispersion of group judgments. Mathematical and Computer Modelling, 46(7-8), 918–925.

Saccani, N., Songini, L., & Gaiardelli, P. (2006). The role and performance measurement of after-sales in the durable consumer goods industries: An empirical study. International Journal of Productivity and Performance Management, 55(3/4), 259–283.

Sahay, B. S. (2005). Multi-factor productivity measurement model for service organisation. International Journal of Productivity and Performance Management, 54(1), 7–22.

Santouridis, I., & Trivellas, P. (2010). Investigating the impact of service quality and customer satisfaction on customer loyalty in mobile telephony in Greece. The TQM Journal, 22(3), 330–343.

Schembri, S., & Sandberg, J. (2002). Service quality and the consumer’s experience: Towards an interpretive approach. Marketing Theory, 2(2), 189–205.

Shaharudrn, M. R., Yusof, K. M. M., Elias, S. J., & Mansor, S. W. (2009). Factors affecting customer satisfaction in after-sales service of Malaysian electronic business market. Canadian Social Science, 5(6), 10-18.

Shahrouzifard, S., & Faraji, M. (2016). After- sales service quality as an antecedent of customer satisfaction. Accounting, 2(2), 81–84.

Sowlat, M. H., Gharibi, H., Yunesian, M., Tayefeh Mahmoudi, M., & Lotfi, S. (2011). A novel, fuzzy-based air quality index (FAQI) for air quality assessment. Atmospheric Environment, 45(12), 2050–2059.

Sun, K.-A., & Kim, D.-Y. (2013). Does customer satisfaction increase firm performance? An application of American Customer Satisfaction Index (ACSI). International Journal of Hospitality Management, 35, 68–77.

Tron, E., & Margaliot, M. (2004). Mathematical modeling of observed natural behavior: a fuzzy logic approach. Fuzzy Sets and Systems, 146(3), 437–450.

Vesely, S., Klockner, C. A., & Dohnal, M. (2016). Predicting recycling behaviour: Comparison of a linear regression model and a fuzzy logic model. Waste Management, 49, 530–536.

Wang, F.-K., Chang, K.-K., & Tzeng, C.-W. (2011). Using adaptive network-based fuzzy inference system to forecast automobile sales. Expert Systems with Applications, 38(8), 10587–10593.

Yadav, V., & Sharma, M. K. (2015). Multi-criteria decision making for supplier selection using fuzzy AHP approach. Benchmarking: An International Journal, 22(6), 1158–1174.

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

Zani, S., Milioli, M. A., & Morlini, I. (2013). Fuzzy composite indicators: An application for measuring customer satisfaction. In N. Torelli, F. Pesarin & A. Bar-Hen (Eds.), Advances in theoretical and applied statistics (pp. 243–253). Berlin, Heidelberg: Springer Berlin Heidelberg.

Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Economic Development of Economy, 17(2), 397–427.

Zeithaml, V. A. (2000). Service quality, profitability, and the economic worth of customers: What we know and what we need to learn. Journal of the Academy of Marketing Science, 28(1), 67–85.