Cost Analysis of Water Quality Assessment Using Multi-Criteria Decision-Making Approach

被引:13
作者
Moosavian, Seyed Farhan [1 ]
Borzuei, Daryoosh [2 ]
Ahmadi, Abolfazl [3 ]
机构
[1] Univ Tehran, Fac New Sci & Technol, Tehran, Iran
[2] Iran Univ Sci & Technol, Fac Mech Engn, Tehran, Iran
[3] Iran Univ Sci & Technol, Fac New Technol, Tehran, Iran
关键词
Fuzzy AHP; TOPSIS; Water Quality Assessment; MCDM Method; FUZZY AHP APPROACH; PERFORMANCE EVALUATION; MODEL; IRRIGATION; BARRIERS;
D O I
10.1007/s11269-022-03281-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In modern competitive markets, cost and quality parameters are the two main factors. So, it is essential to study their relationship, especially in leading industries such as urban public service companies. Consequently, manufacturers always try to reduce production costs and improve product quality and services to consumer expectations. Also, the concerns of the new century in the field of fresh water and the reduction of its resources related to global warming have increased the costs of quality and supply of freshwater. Therefore, in this research, in order to estimate the quality costs in the field of water resources and wastewater management and identify the option that creates the most cost, in the first step, the "Prevention, Assessment, and Failure (PAF)" model was used to select cost-imposing options in organizational quality analysis. After determining the main options, appropriate criteria and sub-criteria were selected under the main study area (water and wastewater resources management). In the next step, a "Multiple-Criteria Decision-Making (MCDM) " method based on the "Fuzzy Analytical Hierarchy Process (FAHP)" and "Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)" method was used to identify the option that creates the most cost. The results show that The highest cost of quality in the water and wastewater industry and its management are related to "Assessment Costs" and account for 36.55% of total costs. Also, The lowest cost of quality in the water and wastewater industry is related to "Preventive Costs" and accounts for only 12.18% of the total cost. In addition, the expert's opinion shows that the effect of increasing credit with 34.01% has the greatest weight, and this criterion is the most essential in water and wastewater resources management.
引用
收藏
页码:4843 / 4862
页数:20
相关论文
共 50 条
  • [21] Optimal selection of safety recommendations: A hybrid fuzzy multi-criteria decision-making approach to HAZOP
    Cheraghi, Morteza
    Baladeh, Aliakbar Eslami
    Khakzad, Nima
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2022, 74
  • [22] Green supplier development programmes selection: a hybrid fuzzy multi-criteria decision-making approach
    Pourjavad, Ehsan
    Shahin, Arash
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2020, 13 (06) : 463 - 472
  • [23] Comprehensive Power Transformers Evaluation based on Multi-Criteria Decision-Making Approach
    Vasovic, Stojan
    Dragasevic, Aleksandar
    Puzovic, Slavisa
    Puzovic, Sanja
    Paunovic, Vladan
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2021, 28 (05): : 1448 - 1455
  • [24] A group Multi-Criteria Decision-Making method for water supply choice optimization
    Noori, Amir
    Bonakdari, Hossein
    Salimi, Amir Hossein
    Gharabaghi, Bahram
    SOCIO-ECONOMIC PLANNING SCIENCES, 2021, 77
  • [25] An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Evaluating Business Process Information Systems
    Kang, He-Yau
    Lee, Amy H., I
    Chan, Yao-Chuan
    MATHEMATICS, 2019, 7 (10)
  • [26] Group Decision-Making Using Improved Multi-Criteria Decision Making Methods for Credit Risk Analysis
    Wu, Wenshuai
    Kou, Gang
    Peng, Yi
    FILOMAT, 2016, 30 (15) : 4135 - 4150
  • [27] Evaluating and ranking the Indian private sector banks-A multi-criteria decision-making approach
    Sama, Hanumantha Rao
    Kosuri, Sri Venkateswara Kumar
    Kalvakolanu, Sripathi
    JOURNAL OF PUBLIC AFFAIRS, 2022, 22 (02)
  • [28] Simultaneous Evaluation of Criteria and Alternatives (SECA) for Multi-Criteria Decision-Making
    Keshavarz-Ghorabaee, Mehdi
    Amiri, Maghsoud
    Zavadskas, Edmundas Kazimieras
    Turskis, Zenonas
    Antucheviciene, Jurgita
    INFORMATICA, 2018, 29 (02) : 265 - 280
  • [29] Developing the Expert Decision-Making Algorithm Using the Methods of Multi-Criteria Analysis
    Basheleishvili, Irakli
    CYBERNETICS AND INFORMATION TECHNOLOGIES, 2020, 20 (02) : 22 - 29
  • [30] Multi-criteria Decision-making in Urban Planning
    Kilnarova, Pavla
    6TH ANNUAL CONFERENCE ON ARCHITECTURE AND URBANISM, 2017, : 94 - 100