PMID- 37244904
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20230528
LR  - 20230530
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 13
IP  - 1
DP  - 2023 May 27
TI  - A decision analysis model for material selection using simple ranking process.
PG  - 8631
LID - 10.1038/s41598-023-35405-z [doi]
LID - 8631
AB  - A large number of materials and various criteria fashion material selection 
      problems as complex multi-criteria decision-making (MCDM) problems. This paper 
      proposes a new decision-making method called the simple ranking process (SRP) to 
      solve complex material selection problems. The accuracy of the criteria weights 
      has a direct impact on the outcomes of the new method. In contrast to current 
      MCDM methods, the normalization step has been eliminated from the SRP method as a 
      potential source of producing incorrect results. The application of the method is 
      appropriate for situations with high levels of complexity in material selection 
      because it only considers the ranks of alternatives in each criterion. The first 
      scenario of vital-immaterial mediocre method (VIMM) is used as a tool to derive 
      criteria weights based on expert assessment. The result of SRP is compared with a 
      number of MCDM methods. In order to evaluate the findings of analytical 
      comparison, a novel statistical measure known as compromise decision index (CDI) 
      is proposed in this paper. CDI revealed that the MCDM methods' outputs for 
      solving the material selection could not be theoretically proven and requires to 
      be evaluated through practice. As a result, the dependency analysis-an additional 
      innovative statistical measure is introduced to demonstrate the reliability of 
      MCDM methods by assessing its dependency on criteria weights. The findings 
      demonstrated that SRP is extremely reliant on criteria weights and its 
      reliability rises with the number of criteria, making it a perfect tool for 
      solving challenging MCDM problems.
CI  - (c) 2023. The Author(s).
FAU - Zakeri, Shervin
AU  - Zakeri S
AD  - Geneva School of Economics and Management, University of Geneva, 1211, Geneva, 
      Switzerland. Shervin.zakeri@etu.unige.ch.
FAU - Chatterjee, Prasenjit
AU  - Chatterjee P
AD  - Faculty of Civil Engineering, Institute of Sustainable Construction, Laboratory 
      of Operational Research, Vilnius Gediminas Technical University, Vilnius, 
      Lithuania.
FAU - Konstantas, Dimitri
AU  - Konstantas D
AD  - Geneva School of Economics and Management, University of Geneva, 1211, Geneva, 
      Switzerland.
FAU - Ecer, Fatih
AU  - Ecer F
AD  - Sub-Department of Operations Research, Faculty of Economics and Administrative 
      Sciences, Afyon Kocatepe University, Afyonkarahisar, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20230527
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
PMC - PMC10224978
COIS- The authors declare no competing interests.
EDAT- 2023/05/28 01:07
MHDA- 2023/05/28 01:08
PMCR- 2023/05/27
CRDT- 2023/05/27 23:15
PHST- 2022/12/02 00:00 [received]
PHST- 2023/05/17 00:00 [accepted]
PHST- 2023/05/28 01:08 [medline]
PHST- 2023/05/28 01:07 [pubmed]
PHST- 2023/05/27 23:15 [entrez]
PHST- 2023/05/27 00:00 [pmc-release]
AID - 10.1038/s41598-023-35405-z [pii]
AID - 35405 [pii]
AID - 10.1038/s41598-023-35405-z [doi]
PST - epublish
SO  - Sci Rep. 2023 May 27;13(1):8631. doi: 10.1038/s41598-023-35405-z.