PMID- 37704751
OWN - NLM
STAT- MEDLINE
DCOM- 20230915
LR  - 20231123
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 13
IP  - 1
DP  - 2023 Sep 13
TI  - Evaluating and prioritizing the healthcare waste disposal center locations using 
      a hybrid multi-criteria decision-making method.
PG  - 15130
LID - 10.1038/s41598-023-42455-w [doi]
LID - 15130
AB  - Healthcare waste disposal center location (HCWDCL) impacts the environment and 
      the health of living beings. Different and sometimes contradictory criteria in 
      determining the appropriate site location for disposing of healthcare waste (HCW) 
      complicate the decision-making process. This research presents a hybrid 
      multi-criteria decision-making (MCDM) method, named PROMSIS, to determine the 
      appropriate HCWDCL in a real case. The PROMSIS is the combination of two 
      well-known MCDM methods, namely TOPSIS and PROMETHEE. Moreover, fuzzy theory is 
      used to describe the uncertainties of the problem parameters. To provide a 
      reliable decision on selecting the best HCWDCL, a comprehensive list of criteria 
      is identified through a literature review and experts' opinions obtained from the 
      case study. In total, 40 criteria are identified and classified into five major 
      criteria, namely economic, environmental, social, technical, and geological. The 
      weight of the considered criteria is determined by the Analytical Hierarchy 
      Process (AHP) method. Then, the score of the alternative HCWDCLs in each 
      considered criterion is obtained. Finally, the candidate locations for disposing 
      of HCWs are ranked by the proposed fuzzy PROMSIS method. The results show that 
      the most important criteria in ranking the alternatives in the studied case are 
      economic, environmental, and social, respectively. Moreover, the sub-criteria of 
      operating cost, transportation cost, and pollution are identified as the most 
      important sub-criteria, respectively.
CI  - (c) 2023. Springer Nature Limited.
FAU - Beheshtinia, Mohammad Ali
AU  - Beheshtinia MA
AD  - Industrial Engineering Department, Faculty of Engineering, Semnan University, 
      Semnan, Iran.
FAU - Bahrami, Fatemeh
AU  - Bahrami F
AD  - Industrial Engineering Department, Faculty of Engineering, Semnan University, 
      Semnan, Iran.
FAU - Fathi, Masood
AU  - Fathi M
AD  - Division of Intelligent Production Systems, School of Engineering Science, 
      University of Skovde, 54128, Skovde, Sweden. masood.fathi@his.se.
AD  - Division of Industrial Engineering and Management, Department of Civil and 
      Industrial Engineering, Uppsala University, 75121, Uppsala, Sweden. 
      masood.fathi@his.se.
FAU - Asadi, Shahla
AU  - Asadi S
AD  - Department of Information Systems and Business Analytics, Kent State University, 
      Kent, OH, 44242, USA.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Review
DEP - 20230913
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
MH  - *Environmental Pollution
MH  - Geology
MH  - Health Facilities
MH  - *Refuse Disposal
MH  - Transportation
PMC - PMC10499883
COIS- The authors declare no competing interests.
EDAT- 2023/09/14 00:42
MHDA- 2023/09/15 06:42
PMCR- 2023/09/13
CRDT- 2023/09/13 23:28
PHST- 2023/03/24 00:00 [received]
PHST- 2023/09/11 00:00 [accepted]
PHST- 2023/09/15 06:42 [medline]
PHST- 2023/09/14 00:42 [pubmed]
PHST- 2023/09/13 23:28 [entrez]
PHST- 2023/09/13 00:00 [pmc-release]
AID - 10.1038/s41598-023-42455-w [pii]
AID - 42455 [pii]
AID - 10.1038/s41598-023-42455-w [doi]
PST - epublish
SO  - Sci Rep. 2023 Sep 13;13(1):15130. doi: 10.1038/s41598-023-42455-w.