Desalination membrane selection using group fuzzy analytical hierarchy process

被引:2
|
作者
Al-Araidah, Omar [1 ]
Hayajneh, Mohammed T. [1 ]
Al-Rwabdah, Rawan A. [1 ]
机构
[1] Jordan Univ Sci & Technol, Ind Engn Dept, POB 3030, Irbid 22110, Jordan
关键词
Decision making; Desalination; Fuzzy analytical hierarchy process; Membrane; Multi criteria; DECISION-MAKING; WASTE-WATER; AHP; TECHNOLOGIES;
D O I
10.5004/dwt.2020.24873
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper presents a group fuzzy analytical hierarchy process (FAHP) model for the selection of water desalination membranes. In addition to literature, experts from the pharmaceutical industry sector and academia were involved in setting and evaluating the criteria to be used in the selection process. Technical criteria focus on parameters concerning the type and configuration of the material of membrane, operational parameters concerning the work conditions under which the membrane will function and efficiency parameters concerning permeability, salt rejection and environmental performance over the lifecycle of the membrane. Non-technical criteria focus on the supply chain finance, volume and time parameters. The fuzzy opinions of 12 experts were aggregated using the aggregation of individual judgment (AIJ) method to obtain the weights of seven technical and five non-technical criteria and their corresponding sub-criteria using Chang's FAHP method. Obtained weights are then used to select the best reverse osmosis (RO) desalination membrane alternative among three different alternative membrane types widely used in the pharmaceutical industry; ESPA1 which is characterized by its energy saving among RO membranes during the filtration processes and produces around 2,100 gallons of permeate flow each day, CPA2 which is known for its high salt rejection and produces around 2,250 gallons of permeate flow each day, and LFC3 which is known for its low fouling and produces around 2,100 gallons of permeate flow each day. Experts agreed that technical criteria are far more important than non-technical criteria. Results show that salt rejection efficiency is the most important technical criteria, the cost is the highest-ranked non-technical criteria and CPA2 is the most preferred alternative.
引用
收藏
页码:79 / 89
页数:11
相关论文
共 50 条
  • [1] Application of the analytical hierarchy process in the selection of desalination plants
    Hajeeh, M
    Al-Othman, A
    [J]. DESALINATION, 2005, 174 (01) : 97 - 108
  • [2] Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods
    Karimi, A. R.
    Mehrdadi, N.
    Hashemian, S. J.
    Bidhendi, G. R. Nabi
    Moghaddam, R. Tavakkoli
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2011, 8 (02) : 267 - 280
  • [3] Selection of wastewater treatment process based on the analytical hierarchy process and fuzzy analytical hierarchy process methods
    A. R. Karimi
    N. Mehrdadi
    S. J. Hashemian
    G. R. Nabi Bidhendi
    R. Tavakkoli Moghaddam
    [J]. International Journal of Environmental Science & Technology, 2011, 8 : 267 - 280
  • [4] Personnel selection with fuzzy analytical hierarchy process and an application
    Dagdeviren, Metin
    [J]. Journal of the Faculty of Engineering and Architecture of Gazi University, 2007, 22 (04): : 791 - 799
  • [5] SELECTION OF BUSINESS STRATEGIES FOR QUALITY IMPROVEMENT USING FUZZY ANALYTICAL HIERARCHY PROCESS
    Das, Prasun
    [J]. INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2010, 4 (04) : 283 - 289
  • [6] Selection of vendor using analytical hierarchy process based on fuzzy preference programming
    Kaur P.
    Verma R.
    Mahanti N.C.
    [J]. OPSEARCH, 2010, 47 (1) : 16 - 34
  • [7] Performance Measure of Airline Websites Using Analytical Hierarchy Process & Fuzzy Analytical Hierarchy Process
    Dominic, P. D. D.
    Khan, Humera
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM COMPUTING AND ENGINEERING, 2014, : 530 - 535
  • [8] Material selection using analytical hierarchy process
    Dweiri, Fikri
    Al-Oqla, Faris
    [J]. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2006, 26 (04) : 182 - 189
  • [9] Product Benchmarking using Analytical Hierarchy Process and Fuzzy Analytical Hierarchy Process: A Case Study
    Sudiarso, A.
    Nugraheni, W. F.
    [J]. INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III, 2010, : 1817 - 1819
  • [10] Selection of Quality Gemstones Based on Fuzzy Analytical Hierarchy Process
    Dhaher, Ghanim Mahmood
    Abdullah, Tariq Hamad
    Algwauish, Ghanim M.
    [J]. EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS, 2023, 16 (02): : 1084 - 1093