PMID- 25562947
OWN - NLM
STAT- MEDLINE
DCOM- 20150113
LR  - 20150107
IS  - 1066-2936 (Print)
IS  - 1066-2936 (Linking)
VI  - 41
IP  - 6
DP  - 2014 Nov-Dec
TI  - Commercial diver selection using multiple-criteria decision-making methods.
PG  - 565-72
AB  - INTRODUCTION: Personnel selection for different commercial diving jobs is 
      time-consuming and subjective, This paper proposes a combination of two 
      multiple-criteria decision-making (MCDM) methods to provide an objective tool for 
      evaluation according to two main selection criteria: work experience and physical 
      fitness. METHOD: Subcriteria were computed using the analytic hierarchy process 
      (AHP). By consulting two field professionals, subcriteria for work experience 
      were determined as: working hours on the project type, hand tools, hydraulic 
      tools, pneumatic tools, LP air jet and water lift/dredge, wet bell diving and 
      paramedic training level. Determined by three medical experts, the subcriteria 
      for physical fitness were: age, VO2Max, critical flicker fusion frequency (CFFF), 
      psychomotor performance, and visual and hearing acuities. The pair-wise 
      comparison matrices used to calculate subcriteria weights are filled by the same 
      experts. Eight divers were included in the analysis. The AHP yielded scores of 
      work experience for seven different project types and a physical fitness score 
      for each diver. These scores were used in data envelopment analysis (DEA), to 
      obtain an aggregate ranking of the divers. RESULT: The methodology was able to 
      differentiate between qualified and unqualified divers. Divers were scored 
      between 0 and 1 for each project type. The overall ranking of divers according to 
      the average of the seven project types' scores was: 1. Diver 7 (1.0000); 2. Diver 
      5 (0.9486); 3, Diver 8 (0.9453); 4. Diver 2 (0.9421); 5. Diver 3 (0.8441); 6. 
      Diver 4 (0.7804); 7. Diver 6 (0.6554); 8. Diver 1 (0.3931). DISCUSSION: The 
      proposed methodology allows decision-makers to perform evaluations objectively 
      and systematically, reducing personal conflicts and confusions resulting from 
      subjective immethodical judgments. This methodology is to be applied in real 
      projects to validate the selection criteria and confirm the results.
FAU - Ozyigit, Tamer
AU  - Ozyigit T
AD  - Galatasaray University, Computer Engineering Department, Istanbul, Turkey.
FAU - Egi, S Murat
AU  - Egi SM
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Undersea Hyperb Med
JT  - Undersea & hyperbaric medicine : journal of the Undersea and Hyperbaric Medical 
      Society, Inc
JID - 9312954
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - *Decision Making
MH  - *Decision Support Techniques
MH  - Diving/physiology/*standards
MH  - Flicker Fusion
MH  - Hearing
MH  - Humans
MH  - Occupations
MH  - Oxygen Consumption
MH  - Personnel Selection/*methods
MH  - *Physical Fitness
MH  - Psychomotor Performance
MH  - Visual Acuity
EDAT- 2015/01/08 06:00
MHDA- 2015/01/15 06:00
CRDT- 2015/01/08 06:00
PHST- 2015/01/08 06:00 [entrez]
PHST- 2015/01/08 06:00 [pubmed]
PHST- 2015/01/15 06:00 [medline]
PST - ppublish
SO  - Undersea Hyperb Med. 2014 Nov-Dec;41(6):565-72.