PMID- 36059577
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221221
IS  - 0952-1976 (Print)
IS  - 0952-1976 (Electronic)
IS  - 0952-1976 (Linking)
VI  - 116
DP  - 2022 Nov
TI  - Investigation of the pharmaceutical warehouse locations under COVID-19-A case 
      study for Duzce, Turkey.
PG  - 105389
LID - 10.1016/j.engappai.2022.105389 [doi]
AB  - Pharmaceutical warehouses are among the centers that play a critical role in the 
      delivery of medicines from the producers to the consumers. Especially with the 
      new drugs and vaccines added during the pandemic period to the supply chain, the 
      importance of the regions they are located in has increased critically. Since the 
      selection of pharmaceutical warehouse location is a strategic decision, it should 
      be handled in detail and a comprehensive analysis should be made for the location 
      selection process. Considering all these, in this study, a real-case application 
      by taking the problem of selecting the best location for a pharmaceutical 
      warehouse is carried out for a city that can be seen as critical in drug 
      distribution in Turkey. For this aim, two effective multi-criteria 
      decision-making (MCDM) methodologies, namely Analytic Hierarchy Process (AHP) and 
      Evaluation based on Distance from Average Solution (EDAS), are integrated under 
      spherical fuzzy environment to reflect fuzziness and indeterminacy better in the 
      decision-making process and the pharmaceutical warehouse location selection 
      problem is discussed by the proposed fuzzy integrated methodology for the first 
      time. Finally, the best region is found for the pharmaceutical warehouse and the 
      results are discussed under the determined criteria. A detailed robustness 
      analysis is also conducted to measure the validity, sensibility and effectiveness 
      of the proposed methodology. With this study, it can be claimed that literature 
      has initiated to be revealed for the pharmaceutical warehouse location problem 
      and a guide has been put forward for those who are willing to study this area.
CI  - (c) 2022 Elsevier Ltd. All rights reserved.
FAU - Erdogan, Melike
AU  - Erdogan M
AD  - Department of Industrial Engineering, Duzce University, 81620, Duzce, Turkey.
FAU - Ayyildiz, Ertugrul
AU  - Ayyildiz E
AD  - Department of Industrial Engineering, Karadeniz Technical University, 61080, 
      Trabzon, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20220829
PL  - England
TA  - Eng Appl Artif Intell
JT  - Engineering applications of artificial intelligence
JID - 101469722
PMC - PMC9420725
OTO - NOTNLM
OT  - Analytic hierarchy process
OT  - Evaluation based on distance from average solution
OT  - Pandemics
OT  - Pharmaceutical warehouse location
OT  - Spherical fuzzy sets
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2022/09/06 06:00
MHDA- 2022/09/06 06:01
PMCR- 2022/08/29
CRDT- 2022/09/05 03:39
PHST- 2022/05/02 00:00 [received]
PHST- 2022/06/23 00:00 [revised]
PHST- 2022/08/24 00:00 [accepted]
PHST- 2022/09/06 06:00 [pubmed]
PHST- 2022/09/06 06:01 [medline]
PHST- 2022/09/05 03:39 [entrez]
PHST- 2022/08/29 00:00 [pmc-release]
AID - S0952-1976(22)00392-X [pii]
AID - 105389 [pii]
AID - 10.1016/j.engappai.2022.105389 [doi]
PST - ppublish
SO  - Eng Appl Artif Intell. 2022 Nov;116:105389. doi: 10.1016/j.engappai.2022.105389. 
      Epub 2022 Aug 29.