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Research on Comprehensive Evaluation of College Canteen Service Quality Based on Analytic Hierarchy Process
Current Issue
Volume 6, 2018
Issue 4 (August)
Pages: 45-51   |   Vol. 6, No. 4, August 2018   |   Follow on         
Paper in PDF Downloads: 30   Since Jan. 18, 2019 Views: 1070   Since Jan. 18, 2019
Authors
[1]
Xinyu He, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China.
[2]
Meng li Xu, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Neurosense and Control Engineering Technology Center, Xinxiang, China; Xinxiang Key Lab of Biomedical Information Research, Xinxiang, China.
[3]
Yang Wu, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Neurosense and Control Engineering Technology Center, Xinxiang, China; Xinxiang Key Lab of Biomedical Information Research, Xinxiang, China.
[4]
Huan Wei, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Neurosense and Control Engineering Technology Center, Xinxiang, China; Xinxiang Key Lab of Biomedical Information Research, Xinxiang, China.
[5]
Fang Zhao, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Neurosense and Control Engineering Technology Center, Xinxiang, China; Xinxiang Key Lab of Biomedical Information Research, Xinxiang, China.
[6]
Ren Qiongqiong, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China.
[7]
Wu Ren, Xinxiang Medical University, School of Biomedical Engineering, Xinxiang, China; Xinxiang Neurosense and Control Engineering Technology Center, Xinxiang, China; Xinxiang Key Lab of Biomedical Information Research, Xinxiang, China.
Abstract
With the improvement of living standards, college students are paying more and more attention to the quality of canteen food. For a long time, the contradiction between supply and demand has been existed in college canteens. In this paper, the Analytic Hierarchy Process was used to solve this problem. The factors as the food hygiene, food prices, food tastes, food component, food species, service attitude, canteen capacity and other factors in college canteens were considered and quantified. By constructing and analyzing pairwise comparison matrices, the college canteens were comprehensively evaluated. The relative service quality of the four canteens is obtained. The service quality of the first floor of the first canteen is the best and the second floor of the first canteen is the worst. The improvement measures from influencing factors and overall aspects of the canteen are proposed. The results provide theoretical and data support for the evaluation and reasonable adjustment of the relevant canteen service system.
Keywords
Service Quality, Mathematical Model, Analytic Hierarchy Process, Relative Service Quality, Evaluate
Reference
[1]
Liu Xinran, Tu Hua. SPSS based student satisfaction evaluation and statistical analysis of high school canteens [J]. Value engineering, 2018, 37 (3): 54-57.
[2]
Fang Yuehua, Wu Junru. Analysis on the satisfaction of students' restaurant based on Analytic Hierarchy Process -- Taking the student restaurant of Hengshui University as an example [J]. The practice and understanding of mathematics. 2018, 03 (3): 285-295.
[3]
Zhang Pengju, Gao Xiaoyan, Ma Guolong, and so on. A survey of dietary consumption and satisfaction to students' canteen service in a university in Ningxia [J]. Journal of the Medical University of Ningxia, 2017, 39 (5): 604-605.
[4]
Hu Kangyu, Li Tianyi, Zhai Hui. Post evaluation of Tian Yuan canteen of Kunming University of Science and Technology [J]. Value engineering, 2018, 37 (5): 47-49.
[5]
Zhang Jin. Research on personal information security assessment based on AHP [J]. Value engineering, 2018, 37 (5): 57-60.
[6]
Li Shaochao. Production bottleneck identification based on analytic hierarchy process [J]. Mechanical manufacturing, 2018, 56 (3): 77-80.
[7]
Qin Jie. The national public official's virtue evaluation model -- Based on analytic hierarchy process and fuzzy comprehensive evaluation method [J]. Ethics research, 2017, 05 (5): 116-122.
[8]
Li Hui. 3S based ecological sensitivity assessment of Wanzhou area in the post Three Gorges era [J]. Resources development and market, 2018, 34 (2): 160-165.
[9]
Hang Ma, Shanting Li, Chung-Shing Chan. Analytic Hierarchy Process (AHP)-based assessment of the value of non-World Heritage Tulou: A case study of Pinghe County, Fujian Province [J]. Tourism Management Perspe, 2018, 26 (4): 67-77.
[10]
Bahar Sennaroglu, Gulsay Varlik Celebi. A military airport location selection by AHP integrated PROMETHEE and VIKOR methods [J]. Transportation Research Part D, 2018, 59 (3): 160-173.
[11]
Michael Angelo B. Promentilla, Kathleen B. Aviso, Rochelle Irene G. Lucas. et al. Teaching Analytic Hierarchy Process (AHP) in undergraduate chemical engineering courses [J]. Education for Chemical Engineers, 2018, 23 (4): 34-41.
[12]
Justyna Hachoł, Mateusz Hämmerling, Elżbieta Bondar-Nowakowska. Applying the Analytical Hierarchy Process (AHP) into the effects assessment of river training works [J]. Journal of Water and Land Development, 2017, 35 (1): 63-72.
[13]
Pablo Aragonés-Beltrán, Fidel Chaparro-González, Juan-Pascual Pastor-Ferrando, Andrea Pla-Rubio. An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects [J]. Energy, 2014, 66 (2): 222-238.
[14]
Lazim Abdullah, Liana Najib. A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process [J]. Expert Systems with Applications, 2014, 41 (7): 3297-3305.
[15]
Arpan Kumar Kar. A hybrid group decision support system for supplier selection using analytic hierarchy process, fuzzy set theory and neural network [J]. Journal of Computational Science, 2015, 6: 23-33.
[16]
Huchang Liao, Zeshui Xu. Consistency of the fused intuitionistic fuzzy preference relation in group intuitionistic fuzzy analytic hierarchy process [J]. Applied Soft Computing, 2015, 35 (C): 812-826.
[17]
Kannan Govinda, Mathiyazhagan Kaliyan, Devika Kannan, A. N. Haq. Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process [J]. Int. J. Production Economics, 2014, 147 (4): 555-568.
[18]
Petra Grošelj, Lidija Zadnik Stirn, Nadir Ayrilmis, Manja Kitek Kuzman. Comparison of some aggregation techniques using group analytic hierarchy process [J]. Expert Systems with Applications, 2015, 42 (4): 2198-2204.
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