Vendor evaluation platform for acquisition of medical equipment based on multi-criteria decision-making approach

被引:7
作者
Saleh, Neven [1 ]
Gaber, Mohamed N. [2 ]
Eldosoky, Mohamed A. [3 ]
Soliman, Ahmed M. [3 ]
机构
[1] Shorouk Acad, Higher Inst Engn, Biomed Engn Dept, Cairo, Egypt
[2] Mil Tech Coll, Cairo, Egypt
[3] Helwan Univ, Fac Engn, Biomed Engn Dept, Cairo, Egypt
关键词
D O I
10.1038/s41598-023-38902-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The purchase of medical equipment is a critical issue that should be planned properly. The selection of the most appropriate vendor impacts time, effort, and expenses. Therefore, the challenge is to strike a balance between the available budget and the required equipment. The study aims to select the best vendor for supplying medical equipment based on Emergency Care Research Institute (ECRI) standards. The multi-criteria decision-making approach has been adopted through three methods; Multi-Objective Optimization by Ratio Analysis (MOORA), Simple Additive Weighting (SAW), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The criteria of selection are divided into general, technical, and financial. The criteria are weighted using three methods: CRITIC, entropy, and expert judgment. The Vendor Evaluation Program for Medical Equipment (VEPME) is designed to automatically select the best vendor. Medical imaging equipment is selected to test the program by four modalities: X-ray equipment, CT, MRI, and ultrasound. The best scenario was given by the entropy-TOPSIS. As a result, this methodology was adopted by the program. The results demonstrate the robustness of the proposed methodology by comparing the VEPME output to expert judgment.
引用
收藏
页数:11
相关论文
共 28 条
  • [1] Adel H, 2018, CAIRO INT BIOM ENG, P69, DOI 10.1109/CIBEC.2018.8641832
  • [2] Alinezhad A., 2019, New Methods and Applications in Multiple Attribute Decision Making, DOI [DOI 10.1007/978-3-030-15009-9, 10.1007/978-3-030-15009-9_17, DOI 10.1007/978-3-030-15009-9_17]
  • [3] Balioti Vasiliki., 2018, PROCEEDINGS, V2, P637, DOI [DOI 10.3390/PROCEEDINGS2110637, 10.3390/proceedings2110637]
  • [4] EXPERIMENTAL STUDY OF INDUSTRIAL BUYER BEHAVIOR
    CARDOZO, RN
    CAGLEY, JW
    [J]. JOURNAL OF MARKETING RESEARCH, 1971, 8 (03) : 329 - 334
  • [5] Chakraborty T., 2011, Business Intelligence, V4, P167
  • [6] An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection
    Dahooie, J. Heidary
    Zavadskas, E. K.
    Firoozfar, H. R.
    Vanaki, A. S.
    Mohammadi, N.
    Brauers, W. K. M.
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 79 : 114 - 128
  • [7] Quality function deployment in construction
    Delgado-Hernandez, David Joaquin
    Bampton, Katherine Elizabeth
    Aspinwall, Elaine
    [J]. CONSTRUCTION MANAGEMENT AND ECONOMICS, 2007, 25 (06) : 597 - 609
  • [8] Methods for medical device and equipment procurement and prioritization within low- and middle-income countries: findings of a systematic literature review
    Diaconu, Karin
    Chen, Yen-Fu
    Cummins, Carole
    Moyao, Gabriela Jimenez
    Manaseki-Holland, Semira
    Lilford, Richard
    [J]. GLOBALIZATION AND HEALTH, 2017, 13
  • [9] DETERMINING OBJECTIVE WEIGHTS IN MULTIPLE CRITERIA PROBLEMS - THE CRITIC METHOD
    DIAKOULAKI, D
    MAVROTAS, G
    PAPAYANNAKIS, L
    [J]. COMPUTERS & OPERATIONS RESEARCH, 1995, 22 (07) : 763 - 770
  • [10] Dyro J., 2004, CLIN ENG HDB