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Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach

Author(s): (Department of Industrial and Production Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh)
(Department of Industrial and Production Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh)
(Department of Industrial and Production Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh)
(Department of Industrial and Production Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh)
ORCID (Engineering Management Department, College of Engineering and Computer Science, Arkansas State University, Jonesboro, Arkansas, USA)
Medium: journal article
Language(s): English
Published in: Sustainable and Resilient Infrastructure, , n. 5, v. 8
Page(s): 1-17
DOI: 10.1080/23789689.2023.2165782
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/23789689.2023.2165782.
  • About this
    data sheet
  • Reference-ID
    10713501
  • Published on:
    21/03/2023
  • Last updated on:
    04/08/2023
 
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