PMID- 37807796
OWN - NLM
STAT- MEDLINE
DCOM- 20240311
LR  - 20240311
IS  - 1875-9270 (Electronic)
IS  - 1051-9815 (Linking)
VI  - 77
IP  - 3
DP  - 2024
TI  - Hybrid multi-criteria decision making approach proposal for evaluating workloads 
      of aircraft maintenance technicians.
PG  - 901-918
LID - 10.3233/WOR-220633 [doi]
AB  - BACKGROUND: Aircraft maintenance technicians (AMTs) have the most difficulty in 
      terms of total workload criteria working in line maintenance. This is a very 
      important problem for the Aircraft Maintenance Organization. A systematic and 
      scientific approach is required for its solution. OBJECTIVE: This study proposes 
      a new Multi-Criteria Decision Making (MCDM) based approach to evaluating the 
      total workloads of AMTs to identify the most challenging AMT tasks in the 
      aircraft maintenance organization. METHODS: A new hybrid MCDM approach is 
      proposed by integrating the Decision-Making Trial and Evaluation Laboratory 
      (DEMATEL) and Technique for Order Preference by Similarity (TOPSIS) methods to 
      compare AMTs on the basis of workloads according to license categories. The 
      hybrid method proposed in this study evaluates the total workload under three 
      main titles: mental, physical, and environmental workload. RESULTS: Focusing on 
      AMTs working in line maintenance of an aircraft maintenance organization, this 
      study revealed that the most important workload criteria determined by the 
      DEMATEL method are lower back strain, upper back strain, time pressure, and air 
      temperature criteria. The results of the TOPSIS method showed that the license 
      categories of AMTs are sorted according to the workloads as follows: A, B2, B1, 
      and B1 + B2. The AMTs holding a "Category A" license have fewer workloads than 
      the other categories. CONCLUSION: The findings of the study reveal some measures 
      that might allow authorities to minimize the workload of AMTs. In addition, the 
      study contributes to the literature because there are few studies that 
      systematically analyze total workloads by using MCDM methods.
FAU - Ozturk, Yasar
AU  - Ozturk Y
AD  - Department of Airframe and Powerplant Maintenance, Faculty of Aeronautics and 
      Astronautics, Eskisehir Technical University, Eskisehir, Turkey.
FAU - Yazgan, Ebru
AU  - Yazgan E
AD  - Department of Airframe and Powerplant Maintenance, Faculty of Aeronautics and 
      Astronautics, Eskisehir Technical University, Eskisehir, Turkey.
FAU - Delice, Elif Kilic
AU  - Delice EK
AD  - Department of Industrial Engineering, Faculty of Engineering, Ataturk University, 
      Erzurum, Turkey.
LA  - eng
PT  - Journal Article
PL  - Netherlands
TA  - Work
JT  - Work (Reading, Mass.)
JID - 9204382
SB  - IM
MH  - Humans
MH  - *Workload
MH  - *Decision Making
MH  - Aircraft
OTO - NOTNLM
OT  - Aircraft maintenance technician
OT  - DEMATEL
OT  - MCDM
OT  - TOPSIS
OT  - ergonomic
OT  - workload
EDAT- 2023/10/09 06:41
MHDA- 2024/03/11 06:42
CRDT- 2023/10/09 03:43
PHST- 2024/03/11 06:42 [medline]
PHST- 2023/10/09 06:41 [pubmed]
PHST- 2023/10/09 03:43 [entrez]
AID - WOR220633 [pii]
AID - 10.3233/WOR-220633 [doi]
PST - ppublish
SO  - Work. 2024;77(3):901-918. doi: 10.3233/WOR-220633.