Comparing multi-criteria models for ranking the Performance of India's water supply utilities

被引:0
|
作者
Srivastava, Akanksha [1 ]
Parmar, Dipteek [1 ]
Pamucar, Dragan [2 ,3 ,4 ]
机构
[1] Harcourt Butler Tech Univ, Dept Civil Engn, Kanpur 208002, Uttar Pradesh, India
[2] Univ Def, Dept Logist, Belgrade, Serbia
[3] Univ Belgrade, Fac Org Sci, Dept Operat Res & Stat, Belgrade, Serbia
[4] Yuan Ze Univ, Coll Engn, Taoyuan, Taiwan
关键词
Water supply systems; Multi-criteria decision making; Decision making; Alternatives; Ratio analysis; MOORA; MAIRCA; ranking; DATA ENVELOPMENT ANALYSIS; DECISION-MAKING; MOORA METHOD; BENCHMARKING; OPTIMIZATION; MANAGEMENT; SERVICES;
D O I
10.1016/j.jup.2023.101652
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Correct performance evaluation and ranking of water utilities involve several conflicting objectives. The solution to such problems can be obtained using multi-criteria decision-making (MCDM) techniques. However, the results of most of these methods are affected by the weights assigned to the criteria and the normalization process used in the development of the evaluation matrix. This study addressed these limitations by comparing two relatively new MCDM methods, MOOORA and MAIRCA, for ranking urban water utilities in India. Both methods were illustrated for ranking 20 urban water supply utilities in India based on 13 indicators.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions
    Mousavi, Mohammad Mahdi
    Ouenniche, Jamal
    ANNALS OF OPERATIONS RESEARCH, 2018, 271 (02) : 853 - 886
  • [22] Multi-criteria risk classification to enhance complex supply networks performance
    Carpitella, Silvia
    Mzougui, Ilyas
    Izquierdo, Joaquin
    OPSEARCH, 2022, 59 (03) : 769 - 785
  • [23] Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions
    Mohammad Mahdi Mousavi
    Jamal Ouenniche
    Annals of Operations Research, 2018, 271 : 853 - 886
  • [24] Efficiency of Urban Water Supply Utilities in India
    Tiwari, Piyush
    Gulati, Manisha
    INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT, 2011, 27 (02) : 361 - 374
  • [25] Multi-criteria risk classification to enhance complex supply networks performance
    Silvia Carpitella
    Ilyas Mzougui
    Joaquín Izquierdo
    OPSEARCH, 2022, 59 : 769 - 785
  • [26] Models of Multi-criteria Optimization with Quality Criteria
    Rozen, V. V.
    Smirnova, D. S.
    IZVESTIYA SARATOVSKOGO UNIVERSITETA NOVAYA SERIYA-MATEMATIKA MEKHANIKA INFORMATIKA, 2013, 13 (02): : 8 - 8
  • [27] Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs
    Kabassi, Katerina
    SUSTAINABILITY, 2021, 13 (20)
  • [28] Path problem in multi-criteria ranking and generalization of AHP
    Liu, Kai-Di
    Pang, Yan-Jun
    Zhou, Shao-Ling
    Ma, Li-Tao
    Li, Wen-Guo
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2015, 35 (04): : 973 - 983
  • [29] A Multi-Criteria Experimental Ranking of Distributed SPARQL Evaluators
    Graux, Damien
    Jachiet, Louis
    Geneves, Pierre
    Layaida, Nabil
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 693 - 702
  • [30] Multi-criteria ranking of chemicals for toxicological impact assessments
    Gregoris, Elena
    Roman, Marco
    Gambaro, Andrea
    Barbante, Carlo
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2018, 73 : 122 - 127