Prioritising Sustainability Factors for Australian Community Buildings’ Management Using Analytical Hierarchy Process (Ahp)

Kalutara, Pushpitha; Zhang, Kevin; Setunge, Sujeeva; Wakefield, Ron

doi:10.3846/ijspm.2018.318

Cited by 8 publications

(2 citation statements)

References 39 publications

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“…The AHP as a measure of performance indicators on the companies based on four aspects of the BSC (Maharma and Saleh, 2014). The AHP to provide the essence aspect and sustainable criteria in the industry (Kalutara et al, 2018). The AHP as a framework to select the procurement of building maintenance (Chua et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Regional Defense Threat for Non-Military Aspect at Bandung Municipality using Root Cause Analysis (RCA) and Analytical Hierarchy Process (AHP) Approach

Poespitohadi¹,

Zuhar²,

Haryono³

et al. 2019

J. Eng. Appl. Sci.

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Threats to the state are every effort and activity, both domestic and foreign which are considered to endanger the sovereignty of the country, the territorial integrity of the country and the safety of all nations. The threats certainly affect national stability including those occurring in some of the capital's buffer zones, namely Bandung Municipality. The Bandung Municipality has a number of non-military threats. This study aims at providing an analysis of non-military threats in the Bandung Municipality. This study uses Root Cause Analysis (RCA) and Analytical Hierarchy Process (AHP) method approach. Root cause analysis uses to identified a criteria for non-military threat. AHP method is used to give the weight and priority to criteria and sub-criteria. The form of non-military threats is: dimensional threats of ideology, political dimension threats, economic dimension threats, socio-cultural dimensions, threats of dimension of technology and information, dimensional threads of public safety and threat dimension of legal legality. The results of weighting the threat criteria are known that the Ideological criterion (I) has a weight of 0.115; Political aspect (P) has a weight of 0.162; Economic aspect (E) has a weight of 0.074; Socio-Cultural aspects (SC) have a weight of 0.109; Public Safety aspect (PS) has a weight of 0.224; Technological aspect (T) has a weight of 0.133; Legality (L) has a weight of 0.183. At level I, the highest threat aspect is the public safety aspect with a weight of 0.224. While the lowest threat aspect is the economic aspect with a weight of 0.074. Otherwise, at level II, the highest one is the overlapping of rules from the regional government with a weight of 0.099. While the lowest threat is poverty with a weight of 0.006.

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Section: Introductionmentioning

confidence: 99%

Analysis of Regional Defense Threat for Non-Military Aspect at Bandung Municipality using Root Cause Analysis (RCA) and Analytical Hierarchy Process (AHP) Approach

Poespitohadi¹,

Zuhar²,

Haryono³

et al. 2019

J. Eng. Appl. Sci.

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“…Aligned with the Construction Industry Council (1997) [111], visual assessments have been common in practice leading to a lack of opportunities to adopt advanced techniques such as structural health monitoring. The uncertainty-attributed data have encouraged using combined fuzzy logic and AI systems for asset management decisionmaking [114,115]. Routinely scheduled condition data play a major role in such decisions as they are utilized for planning and maintenance of repair of building components [116].…”

mentioning

confidence: 99%

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Preethichandra,

Suntharavadivel,

Kalutara

et al. 2023

Sensors

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Recent developments in networked and smart sensors have significantly changed the way Structural Health Monitoring (SHM) and asset management are being carried out. Since the sensor networks continuously provide real-time data from the structure being monitored, they constitute a more realistic image of the actual status of the structure where the maintenance or repair work can be scheduled based on real requirements. This review is aimed at providing a wealth of knowledge from the working principles of sensors commonly used in SHM, to artificial-intelligence-based digital twin systems used in SHM and proposes a new asset management framework. The way this paper is structured suits researchers and practicing experts both in the fields of sensors as well as in asset management equally.

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Modeling the environmental sustainability of timber structures: A case study

Zubizarreta

Cuadrado

Orbe

2019

Environmental Impact Assessment Review

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Prioritising Sustainability Factors for Australian Community Buildings’ Management Using Analytical Hierarchy Process (Ahp)

Cited by 8 publications

References 39 publications

Analysis of Regional Defense Threat for Non-Military Aspect at Bandung Municipality using Root Cause Analysis (RCA) and Analytical Hierarchy Process (AHP) Approach

Analysis of Regional Defense Threat for Non-Military Aspect at Bandung Municipality using Root Cause Analysis (RCA) and Analytical Hierarchy Process (AHP) Approach

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Modeling the environmental sustainability of timber structures: A case study

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