Mohammad Sheikhalishahi

Dr. Mohammad Sheikhalishahi


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2013 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
MSMohammad Sheikhalishahi
Mohammad Sheikhalishahi
VEV. Ebrahimipour
V. Ebrahimipour
HSH. Shiri
H. Shiri
HZH. Zaman
H. Zaman
MJM. Jeihoonian
M. Jeihoonian

9 April 2013 in Journal of Intelligent Manufacturing
Verified
Journal Article
Closed access
PDF file
VEV. Ebrahimipour
V. Ebrahimipour
ANA. Najjarbashi
A. Najjarbashi
MSMohammad Sheikhalishahi
Mohammad Sheikhalishahi

1 January 2012 in Expert Systems with Applications
Verified
Journal Article
Closed access
AAA. Azadeh
A. Azadeh
SGS.F. Ghaderi
S.F. Ghaderi
BNB. Pourvalikhan Nokhandan
B. Pourvalikhan Nokhandan
MSMohammad Sheikhalishahi
Mohammad Sheikhalishahi


8 August 2016 in Journal of Quality in Maintenance Engineering
Verified
Journal Article
Closed access
MSMohammad Sheikhalishahi
Mohammad Sheikhalishahi
LPLiliane Pintelon
Liliane Pintelon
AAAli Azadeh
Ali Azadeh
Purpose: – The purpose of this paper is to review current literature analyzing human factors in maintenance, and areas in need of further research are suggested. Design/methodology/approach: – The review applies a novel framework for systematically categorizing human factors in maintenance into three major categories: human error/reliability calculation, workplace design/macro-ergonomics and human resource management. The framework further incorporates two well-known human factor frameworks, i.e., the Swiss Cheese model and the ergonomic domains framework. Findings: – Human factors in maintenance is a pressing problem. The framework yields important insights regarding the influence of human factors in maintenance decision making. By incorporating various approaches, a robust framework for analyzing human factors in maintenance is derived. Originality/value: – The framework assists decision makers and maintenance practitioners to evaluate the influence of human factors from different perspectives, e.g. human error, macro-ergonomics, work planning and human performance. Moreover, the review addresses an important subject in maintenance decision making more so in view of few human error reviews in maintenance literature.

1 August 2017 in Applied Mathematical Modelling
Verified
Journal Article
Closed access
AAA. Azadeh
A. Azadeh
MRM. Ravanbakhsh
M. Ravanbakhsh
MRM. Rezaei-Malek
M. Rezaei-Malek
MSMohammad Sheikhalishahi
Mohammad Sheikhalishahi
ATA. Taheri-Moghaddam
A. Taheri-Moghaddam