scholarly journals A Generic Modeling Approach for E-Administration Based on Holonic Systems - Case Study of Collective Move Due to a Natural Disaster

2020 ◽  
Vol 25 (1) ◽  
pp. 1-10
Author(s):  
Attia Mourad ◽  
Mahdaoui Latifa
2021 ◽  
Vol 11 (8) ◽  
pp. 3487
Author(s):  
Helge Nordal ◽  
Idriss El-Thalji

The introduction of Industry 4.0 is expected to revolutionize current maintenance practices by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and prescriptive maintenance analytics. In general, the new maintenance paradigms (predictive and prescriptive) are often difficult to justify because of their multiple inherent trade-offs and hidden systems causalities. The prediction models, in the literature, can be considered as a “black box” that is missing the links between input data, analysis, and final predictions, which makes the industrial adaptability to such models almost impossible. It is also missing enable modeling deterioration based on loading, or considering technical specifications related to detection, diagnosis, and prognosis, which are all decisive for intelligent maintenance purposes. The purpose and scientific contribution of this paper is to present a novel simulation model that enables estimating the lifetime benefits of an industrial asset when an intelligent maintenance management system is utilized as mixed maintenance strategies and the predictive maintenance (PdM) is leveraged into opportunistic intervals. The multi-method simulation modeling approach combining agent-based modeling with system dynamics is applied with a purposefully selected case study to conceptualize and validate the simulation model. Three maintenance strategies (preventive, corrective, and intelligent) and five different scenarios (case study data, manipulated case study data, offshore and onshore reliability data handbook (OREDA) database, physics-based data, and hybrid) are modeled and simulated for a time period of 20 years (175,200 h). Intelligent maintenance is defined as PdM leveraged in opportunistic maintenance intervals. The results clearly demonstrate the possible lifetime benefits of implementing an intelligent maintenance system into the case study as it enhanced the operational availability by 0.268% and reduced corrective maintenance workload by 459 h or 11%. The multi-method simulation model leverages and shows the effect of the physics-based data (deterioration curves), loading profiles, and detection and prediction levels. It is concluded that implementing intelligent maintenance without an effective predictive horizon of the associated PdM and effective frequency of opportunistic maintenance intervals, does not guarantee the gain of its lifetime benefits. Moreover, the case study maintenance data shall be collected in a complete (no missing data) and more accurate manner (use hours instead of date only) and used to continuously upgrade the failure rates and maintenance times.


Author(s):  
A. Rodriguez

In three-dimensional models of urban historical reconstruction, missed contextual architecture faces difficulties because it does not have much written references in contrast to the most important monuments. This is the case of Merida, Yucatan, Mexico during the Colonial Era (1542-1810), which has lost much of its heritage. An alternative to offer a hypothetical view of these elements is a typological - parametric definition that allows a 3D modeling approach to the most common features of this heritage evidence.


2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Oliver Ling Hoon Leh ◽  
Muhammad Shamsul Azdhar Zulkapli ◽  
Kwong Qi Jie ◽  
Nurul Ashikin Mabahwi

Referring to the Malaysian National Security Council, disaster is defined as a catastrophic situation that claimed many lives and caused extensive damage to property and potentially endangers the public peace and security. In Malaysia, there were few natural disaster events that can be said to be among the worst ever in terms of the number of deaths and damages. However, these occurrences were not as severe as overseas. At the end of December 2014, there was a catastrophic flood called as the 'Bah Kuning' was hitting the east coast of Peninsular Malaysia. It resulted in almost 85% of the total Kuala Krai area inundated by flood water. One of the elements in post-disaster recovery is rebuilding shelter for victims. Regardless, it is important to research on residents’ satisfaction as it will affect the well-being directly or indirectly. Thus, a study was carried out to evaluate the satisfaction of residents (victims) on the “New Permanent Houses” (Rumah Kekal Baharu, RKB) that they received from the redevelopment project. A questionnaire survey was carried out to collect and understand respondents’ satisfaction on the redevelopment of their housing area, in specific, the quality of their newly reconstructed houses and the supporting facilities or infrastructure in their area. From the analysis, it was found that majority of the respondents were satisfied with their newly redeveloped houses and the infrastructure. The satisfaction level was associated with the locational and land ownership factors.


2014 ◽  
Vol 95 (8) ◽  
pp. 1757-1763 ◽  
Author(s):  
Cosimo Taiti ◽  
Corrado Costa ◽  
Paolo Menesatti ◽  
Diego Comparini ◽  
Nadia Bazihizina ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
Hoang Gia Diem ◽  
Duong Tan Da ◽  
Nguyen Do Ngoc Nhi ◽  
Nguyen Tien Thanh
Keyword(s):  

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