The Fuzzy AHP Method Approach is the Basis for Awarding Sales Marketing for the Achievements of Trading Companies
International Journal of Industrial Engineering |
© 2018 by SSRG - IJIE Journal |
Volume 5 Issue 3 |
Year of Publication : 2018 |
Authors : Achmad Sultoni, Muhammad Prasha Risfi Silitonga and Humiras Hardi Purba |
How to Cite?
Achmad Sultoni, Muhammad Prasha Risfi Silitonga and Humiras Hardi Purba, "The Fuzzy AHP Method Approach is the Basis for Awarding Sales Marketing for the Achievements of Trading Companies," SSRG International Journal of Industrial Engineering, vol. 5, no. 3, pp. 7-14, 2018. Crossref, https://doi.org/10.14445/23499362/IJIE-V5I3P102
Abstract:
The success for every company from many field of businesses is depend from their work values. In various type of companies, strategies and performance of marketing division have a large influence in addition to quality, service, productivity etc. The purpose of this study is to know the marketing performance based on weighting criteria on Performance Evaluation with Fuzzy AHP method. In addition, it also aims to determine the rewards given by the company to achievement achieved based on weighting criteria based on performance appraisal. The data collection process in this study consists of four sources, namely interviews, direct observations, external data and literary sources. The Marketing performance evaluation process in this study carried out using the Fuzzy AHP method in two subcriteria groups, namely “Performance” and “Behavior”. The CR (Consistent Ratio) value of two selected criterion groups is CR group ≤ 0.1 (“Performance” = 0.058; “Behavior” = 0.057), so the data in the questionnaire is consistent Multiplication of weighting criteria with local weighting criteria, so that the global weighting sub-criteria can be obtained. Giving gifts to marketing has a positive impact on marketing performance.
Keywords:
capacitated production planning problem; stochastic demand; simulation; cyclic coordinate method.
References:
[1] Encyclopedia Britannica. (2018). Service Industry. Retrieved from https://www.britannica.com/topic/service-industry
[2] Anonymous. (2018). Employee Benefits. Retrieved from https://www.personneltoday.com/hr/personnel-today-awards-2018-employee-benefits/.
[3] Lansbury, R., 1988. Performance management: A process approach. Asia Pacific Journal of Human Resources, 26 (2): 46-54.
[4] Longenecker, C. O. and Fink, L. S. (1999). Creative effective performance appraisals. Industrial Management, 41(5), 18-23.
[5] Cascio, W. (2003). Managing Human Resources: Productivity, Quality of Work Life, Profits (6th Ed.). New York: McGraw Hill.
[6] Kimiz, D. 2005. Knowledge management in theory and practice .Elsevier Inc., Oxford: UKKothari, C R., 2004.
[7] Dechev, Z (2010). Effective Performance Appraisal – A Study into The Relation Between Employer Satisfaction and Optimizing Business Results.‖ Erasmus University Rotterdam.
[8] Jaiswal, R. K., et al. (2015). Fuzzy AHP Based Multi Crteria Decision Support for Watershed Prioritization. Springer Science+Business Media Dordrecht, 29, 4205–4227.
[9] Nguyen, H.T., et al. (2015). An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation. PLoS ONE, 10(9).
[10] Chou, C.H., Liang, G.S., & Chang, H. C. (2013). A fuzzy AHP approach based on the concept of possibility extent. Springer Science+Business Media B.V., 47, 1–14.
[11] Turban, E., & Aronson, J. E. (1998). Decision Support System and Intelligent System (5th Edition). Prentice Hall, New Orleans.
[12] Lu, J., Zang, G., Ruan, D. & Wu, F. (2007). Multi-Objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Technique. Imperial College Press, London.
[13] Shaw, K., Shankar, R., Yadav, S. S., & Thakur, L. S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linearprogramming for developing lowcarbon supply chain. Expert Systems withApplications, 8182-8192.
[14] Chang, D. Y. (1996). Applications of The Extent Analysis Method on Fuzzy AHP. European Jurnal of Operational Research, 95, 649-655.
[15] Ramik, J. (2000). Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem, Fuzzy Sets and Systems, 111(1), 3–28.
[16] Shega, H., Nia, H., and Hasbi, Y. (2012). Penentu Prioritas Mahasiswa Dalam Memilih Telepon Seluler Dengan Fuzzy AHP. Semarang: Universitas Diponogoro.
[17] Vahidnia, M. H. (2008). Fuzzy Analytical Hierarchy Process in GIS Application. Journal of The International Archives of The Photogrammetry Remote Sensing and Spatial Information Science Faculty of Geodesy and Geomatics Eng. K. N. Toosi University of Technology (37), pp. 593-596, 2008.
[18] Güngör, Z., Serhadlıoğlu, G. & Kesen, S. E. (2009). A fuzzy AHP approach to personnel selection problem. Applied Soft Computing, 9(2), pp. 641-646.
[19] Saaty, T.L. and Mariya, S. (2008). Making decisions in hierarchic and network system. Int.J. Applied Decision Sciences, Vol. 1, No. 1.