PMID- 31687120
OWN - NLM
STAT- MEDLINE
DCOM- 20200622
LR  - 20200622
IS  - 2040-2309 (Electronic)
IS  - 2040-2295 (Print)
IS  - 2040-2295 (Linking)
VI  - 2019
DP  - 2019
TI  - Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection 
      Problem: A Case Study in a Hospital.
PG  - 5614892
LID - 10.1155/2019/5614892 [doi]
LID - 5614892
AB  - In supply chain literature, supplier evaluation and selection problem is one of 
      the most studied subjects because of the significant roles of suppliers in terms 
      of the chain's sustainability and profitability. Therefore, it is important for 
      organizations to adopt a systematic way to evaluate and select the best supplier 
      according to their respective criteria in today's competitive environment. 
      Multicriteria decision-making methods provide for this need of organizations 
      because determination of an appropriate supplier selection is a multicriteria 
      decision-making (MCDM) problem essentially. Although a lot of applications of 
      these methods for supplier evaluation and selection can be seen in the 
      literature, studies in the health-care sector are insufficient. Hospitals in the 
      health-care sector also have to consider their supplier-related decisions to 
      decrease risks and threads which affect their effectiveness. The aim of this 
      study was to fill this gap by providing different hybrid models for selecting the 
      best supplier for hospitals. Supplier evaluation and selection process start with 
      recognizing the related criteria according to the studies in the literature. 
      Analytic hierarchy process (AHP) method is deployed to weight the criteria, and 
      suppliers are listed via technique for order preference by similarity to ideal 
      solution (TOPSIS), elimination and choice translating reality English (ELECTRE), 
      grey relational analysis (GRA), and simple additive weighting (SAW) methods. The 
      main aim of this study was to present different hybrid MCDM methods and show 
      their efficiency and consistency with each other. In this study, hybrid 
      multicriteria decision-making models (AHP-TOPSIS, AHP-ELECTRE, AHP-GRA, and 
      AHP-SAW) are presented and compared. The results show that the presented hybrid 
      methods in this study are consistent with each other and give the same ranking 
      for the selection of the best supplier. It can be considered as a useful 
      guideline for hospitals.
CI  - Copyright (c) 2019 Serap Akcan and Meral Guldes.
FAU - Akcan, Serap
AU  - Akcan S
AUID- ORCID: 0000-0003-2621-9142
AD  - Industrial Engineering, Suleyman Demirel University, Isparta 32260, Turkey.
FAU - Guldes, Meral
AU  - Guldes M
AUID- ORCID: 0000-0001-6310-2504
AD  - Industrial Engineering, Cumhuriyet University, Sivas 58040, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20191010
PL  - England
TA  - J Healthc Eng
JT  - Journal of healthcare engineering
JID - 101528166
SB  - IM
MH  - *Decision Support Techniques
MH  - Delivery of Health Care/standards
MH  - Equipment and Supplies, Hospital/*supply & distribution
MH  - Hospitals
MH  - Humans
MH  - *Materials Management, Hospital
MH  - Models, Organizational
PMC - PMC6811789
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2019/11/07 06:00
MHDA- 2020/06/23 06:00
PMCR- 2019/10/10
CRDT- 2019/11/06 06:00
PHST- 2019/04/03 00:00 [received]
PHST- 2019/08/09 00:00 [revised]
PHST- 2019/09/12 00:00 [accepted]
PHST- 2019/11/06 06:00 [entrez]
PHST- 2019/11/07 06:00 [pubmed]
PHST- 2020/06/23 06:00 [medline]
PHST- 2019/10/10 00:00 [pmc-release]
AID - 10.1155/2019/5614892 [doi]
PST - epublish
SO  - J Healthc Eng. 2019 Oct 10;2019:5614892. doi: 10.1155/2019/5614892. eCollection 
      2019.