zid chaher, Kasim N, Soomro AR, Laidoune A. The discrepancy in the construction industry of Malaysia: one of the most contributing industries in Malaysia’s economy and the highest contributor of the fatal accidents . 5th International Conference on Mechanical Engineering Research 2019 (ICMER 2019) 30 - 31 July 2019, Kuantan, Malaysia [Internet]. 2020;Volume 788 2020. Publisher's VersionAbstract
Abstract. Malaysian construction industry is considered as substantial power for the economy
of the country. The value of construction work is increasing year per year. Malaysia’s economy
experienced a commendable growth the recent years; basically, the construction industry is
statistically significant with economic development and has strong linkages with other industry
sectors. However, the Malaysian construction industry is facing many challenges especially the
fatal accidents. These last came first on top of the construction sector compared all other
industries. This article describes the importance of the construction sector for Malaysia's
economy and its efficient contribution across all states of Malaysia. Furthermore, detailed
statistics and analysis were carried out to describe the severity of fatal accidents occurred in
construction industry of Malaysia. Besides, recommendations were listed in order to better
manage the construction industry without involving in fatal accidents. By taking into account
the significant influence of the construction industry on Malaysian economy, full attention
should be given to the construction field by the Malaysian government and improve further the
construction management in general and the construction safety in particular.
Abdelbaki L. Decision-Making in a Contextof Uncertainty. 12th Chaotic Modeling and Simulation International Conference [Internet]. 2020 :151-156. Publisher's VersionAbstract
Abstract The decision process is considered as the key element for the smooth
behavior of systems. For non-complex or linear systems, this process usually follows
clear rules or requirements, so that the decision will be easy to make without any
difficulty. In the case of complex (non-linear) systems, the decision-making process
is repeatedly challenged problems because of the interactions of several factors at
the same time and because of the hazards characterizing these factors. This situation
will worsen further if the system goes out of its normal operating range to fall into
uncertainty. In this paper,wewill try tomake our contribution, to arrive at simplifying
the decision-making process, while playing on human factors (ability, anticipation,
risk-taking, etc.). As this process can be improved by the development of intelligent
decision support tools.
Keywords Decision process · Complex systems · Intelligent decision support
tools · Rules and prescriptions · Decision making
Abdelbaki L, Hadi RGME. Analysis Testing of Sociocultural Factors Influence on HumanReliability within Sociotechnical Systems: The Algerian Oil Companies. Safety and Health at Work [Internet]. 2016;7 (3) :194-200. Publisher's VersionAbstract
a b s t r a c t
Background: The influence of sociocultural factors on human reliability within an open sociotechnical
systems is highlighted. The design of such systems is enhanced by experience feedback.
Methods: The study was focused on a survey related to the observation of working cases, and by processing
of incident/accident statistics and semistructured interviews in the qualitative part. In order to
consolidate the study approach, we considered a schedule for the purpose of standard statistical measurements.
We tried to be unbiased by supporting an exhaustive list of all worker categories including
age, sex, educational level, prescribed task, accountability level, etc. The survey was reinforced by a
schedule distributed to 300 workers belonging to two oil companies. This schedule comprises 30 items
related to six main factors that influence human reliability.
Results: Qualitative observations and schedule data processing had shown that the sociocultural factors
can negatively and positively influence operator behaviors.
Conclusion: The explored sociocultural factors influence the human reliability both in qualitative and
quantitative manners. The proposed model shows how reliability can be enhanced by some measures
such as experience feedback based on, for example, safety improvements, training, and information.
With that is added the continuous systems improvements to improve sociocultural reality and to reduce
negative behaviors.
Copyright 2016, Occupational Safety and Health Research Institute. Published by Elsevier. This is an
open access article under the CC BY-NC-ND license (