Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Heart Rate Variability (HRV) as a Physiological Marker of Stress Among Electronics Assembly Line Workers Read chapter Read first chapter

2022 | OriginalPaper | Chapter

A Review on the Mental Workload and Physical Workload for Aircraft Maintenance Personnel

Authors : Abdul Ghani Abdul Samad, Mohd Amzar Azizan, Md Hafis Khairuddin, Muhd Khudri Johari

Published in: Human-Centered Technology for a Better Tomorrow

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper reviews the nature and differences of both mental workload and physical workload that exist in the maintenance working culture. From general point of view to aviation maintenance in specifics, it can be ascertained that both workloads are equally imperative to be balanced and distributed to ensure effectiveness of work completion and safety for working personnel. While physical workload is more apparent and noticeable by many, mental workload can actually become evident from emotions conveyed and physical interactions displayed. It is hoped that industry players can focus on both mental workload and physical workload issues equally when it comes to personnel’s welfare and wellbeing to ensure win–win environment for all. This review will be used as a main reference for a subsequent research focusing on the relationship of physical workload and mental workload toward aircraft maintenance personnel’s reaction time and heart rate variability.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Effect of Mental Workload on Heart Rate Variability and Reaction Time of Aircraft Maintenance Personnel
next chapter Significance of Aircraft Maintenance Personnel’s Reaction Time During Physical Workload and Mental Workload
Literature
1.
Fujita K, Kinoshita F, Touyama H (2018) Detection of cognitive decline due to mental fatigue using electroencephalogram. In: 2018 IEEE international conference on systems, man, and cybernetics (SMC). IEEE, Miyazaki, pp 562–567
2.
Abdul Hamid S, Manap R, Ahmad Z, Md. Shariff S (2018) A review on occupational stress towards academician health and wellbeing: a systematic literature review. In: 5th international research management and innovation conference. KUIS, Putrajaya, pp 1–10
3.
Colle H, Reid G (1998) Context effects in subjective mental workload ratings. Hum Factors 4:591–600CrossRef
4.
Shakouri M, Ikuma L, Aghazadeh F, Nahmens I (2018) Analysis of the sensitivity of heart rate variability and subjective workload measures in a driving simulator: the case of highway work zones. Int J Ind Ergon 66:136–145CrossRef
5.
Marquart G, Cabrall C, Winter J (2015) Review of eye-related measures of drivers’ mental workload. Proc Manuf 3:2854–2861
6.
Flynn-Evans E, Ahmed O, Berneking M, Collen J, Kancherla B, Peters B, Rishi MA, Sullivan SS, Upender R, Gurubhagavatula I (2019) Industrial regulation of fatigue: lessons learned from aviation. J Clin Sleep Med 15(4):537–538CrossRef
7.
Morris M, Wiedbusch M, Gunzelmann G (2018) Fatigue incident antecedents, consequences, and aviation operational risk management resources. Aerosp Med Hum Perform 89(8):708–716CrossRef
8.
Karanikas N, Nederend J (2018) Pilot fatigue and safety events: results from analysis of investigation reports. In: 33rd conference of the European association for aviation psychology: connecting people, organisations and technology in aviation. European Association for Aviation Psychology, The Netherlands, pp 390–401
9.
Zaslona J, O’Keeffe K, Signal L, Gander P (2018) Shared responsibility for managing fatigue: hearing the pilots. PLoS ONE 13(5):1–11CrossRef
10.
Sadeghniiat-Haghighi K, Yazdi Z (2015) Fatigue management in the workplace. Ind Psychiatry J 24(1):12–17CrossRef
11.
Abdul Samad A, Abu Mansor N (2019) The possible factors related in failure to follow aircraft maintenance procedures. Int J Innov Technol Explor Eng 8:604–609
12.
Abdul Samad A, Mat Yusoff S (2019) Enhance safety and efficiency by controlling and managing the slip and lapse made by individuals. Int J Innov Technol Explor Eng 8:708–713CrossRef
13.
Abdul Samad A, Mohd Yusoff N (2019) Human negligence play the largest contributing factor of airplane accidents. Int J Innov Technol Explor Eng 8:146–153
14.
Abdul Samad A, Haider R, Md Hairudin K (2019) Human factors affecting avionics workshop in MRO 145. Int J Innov Technol Explor Eng 8:553–555
15.
Tucker P (2010) The impact of rest breaks upon accident risk, fatigue and performance: a review. Work Stress 17(2):123–137CrossRef
16.
Wu E, Zhu L-M, Zhang W-M, Deng P-Y, Jia B, Chen S-D, Ren H, Zhou G-R (2019) Novel nonlinear approach for real-time fatigue EEG data: an infinitely warped model of weighted permutation entropy. IEEE Trans Intell Transp Syst 21(6):1
17.
Liu L, Guo C (2016) Research on the improvement of human error in the process of production operation—taking the fatigue operation in the production as the object of study. In: 2016 international conference on logistics, informatics and service sciences (LISS). IEEE, Sydney, pp 1–6
18.
Burgess S, Boyd S, Boyd D (2018) Fatal general aviation accidents in furtherance of business (1996–2015): rates, risk factors, and accident causes. J Aviat Technol Eng 8(1):11–19
19.
Hanakova L, Socha V, Socha L, Lalis A, Kraus J, Malich T (2019) The influence of fatigue on psychophysiological indicators during 24 hours testing of pilots. In: 2019 IEEE 17th world symposium on applied machine intelligence and informatics (SAMI). IEEE, Herlany, pp 181–186
20.
Hobbs A, Gregory K, Parke B, Pradhan S, Caddick Z, Bathurst N, Flynn-Evans E (2018) San Francisco bar pilot fatigue study. NASA, Hampton
21.
Ozkan A, Ozdevecioglu M, Kaya Y, Koç F (2015) Effects of mental workloads on depression–anger symptoms and interpersonal sensitivities of accounting professionals. Rev Contab 18(2):194–199CrossRef
22.
23.
Hart S, Staveland L (1988) Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv Psychol 52:139–183CrossRef
24.
25.
Hefron R, Borghetti B, Christensen J, Schubert Kabban C (2017) Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation. Pattern Recogn Lett 94:96–104CrossRef
26.
Cain B (2007) A review of the mental workload literature. Defence Research and Development Canada, Toronto
27.
Durantin G, Gagnon J-F, Tremblay S, Dehais F (2014) Using near infrared spectroscopy and heart rate variability to detect mental overload. Behav Brain Res 259:16–23CrossRef
28.
Ranchet M, Morgan J, Akinwuntan A, Devos H (2017) Cognitive workload across the spectrum of cognitive impairments: a systematic review of physiological measures. Neurosci Biobehav Rev 80:516–537CrossRef
29.
Rusnock C, Borghetti B (2018) Workload profiles: a continuous measure of mental workload. Int J Ind Ergon 63:49–64CrossRef
30.
Dehais F, Dupres A, Flumeri G, Verdiere K, Borghini G, Babiloni F, Roy R (2018) Monitoring pilot’s cognitive fatigue with engagement features in simulated and actual flight conditions using a hybrid fNIRS-EEG passive BCI. In: 2018 IEEE international conference on systems, man, and cybernetics (SMC). IEEE, Miyazaki, pp 544–549
31.
Martin J, Schneider F, Kowalewskij A, Jordan D, Hapfelmeier A, Kochs E, Wagner KJ, Schulz C (2016) Linear and non-linear heart rate metrics for the assessment of anaesthetists’ workload during general anaesthesia. Br J Anaesth 117(5):767–774CrossRef
32.
Orlandi L, Brooks B (2018) Measuring mental workload and physiological reactions in marine pilots: building bridges towards redlines of performance. Appl Ergon 69:74–92CrossRef
33.
34.
Junqueira V, Nagano M, Miyata H (2018) Procedure structuring for programming aircraft maintenance activities. Rev Gestão 27(1):2–20CrossRef
35.
Mrusek BM, Kiernan K, Clark P (2018) UAS maintenance: a critical component in maintaining airworthiness. Int J Aviat Aeronaut Aerosp 5(5):2–2
36.
Callewaert P, Verhagen W, Curran R (2018) Integrating maintenance work progress monitoring into aircraft maintenance planning decision support. Transp Res Proc 29:58–69
37.
Makrygianni M (2018) Aircraft accident evaluation using quality assessment tools. Aviation 22(2):67–76CrossRef
38.
Palmarini R, Erkoyuncu J, Roy R, Torabmostaedi H (2018) A systematic review of augmented reality applications in maintenance. Robot Comput Integr Manuf 49:215–228CrossRef
39.
Ionescu L, Kliewer N (2011) Increasing flexibility of airline crew schedules. Proc Soc Behav Sci 20:1019–1028CrossRef
40.
Abdul Samad A, Omar N (2019) Shift and schedule affecting line maintenance. Int J Innov Technol Explor Eng 8:585–589
41.
Lee S, Ma Y-S, Thimm G, Verstraeten J (2008) Product lifecycle management in aviation maintenance. Comput Ind 59(2–3):296–303CrossRef
42.
Chiu M, Hsieh M (2015) Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance tasks. Appl Ergon 54:136–147CrossRef
43.
44.
Korvesis P, Besseau S, Vazirgiannis M (2018) Predictive maintenance in aviation: failure prediction from post-flight reports. In: 2018 IEEE 34th International conference on data engineering (ICDE). IEEE, Paris, pp 1414–1422
45.
Pimapunsri K, Weeranant D (2018) Solving complexity and resource-constrained project scheduling problem in aircraft heavy maintenance. Int J Appl Eng Res 13(11):8998–9004
46.
Qin Y, Wang Z, Chan F, Chung S, Qu T (2019) A mathematical model and algorithms for the aircraft hangar maintenance scheduling problem. Appl Math Model 67:451–509MathSciNetCrossRef
47.
Erkoc M, Ertogral K (2016) Overhaul planning and exchange scheduling for maintenance services with rotable inventory and limited processing capacity. Comput Ind Eng 98:30–39CrossRef
48.
Jayawardena A, Duffy D, Manahan JM (2017) Lighting matters in industrial environments: a framework linking workplace safety to lighting quality metrics. IEEE Ind Appl Mag 23(3):54–63CrossRef
Metadata
Title
A Review on the Mental Workload and Physical Workload for Aircraft Maintenance Personnel
Authors
Abdul Ghani Abdul Samad
Mohd Amzar Azizan
Md Hafis Khairuddin
Muhd Khudri Johari
Copyright Year
2022
Publisher
Springer Singapore
Book
Human-Centered Technology for a Better Tomorrow

Print ISBN: 978-981-16-4114-5

Electronic ISBN: 978-981-16-4115-2

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-4115-2_51