The Future of Asset Management Solutions

2016 ◽  
pp. 413-422
Keyword(s):  
Facilities ◽  
2015 ◽  
Vol 33 (11/12) ◽  
pp. 701-715 ◽  
Author(s):  
Keith Jones ◽  
Api Desai ◽  
Mark Mulville ◽  
Aled Jones

Purpose – The purpose of this paper is to present an alternative approach to facilities and built asset management adaptation planning to climate change based on a hybrid backcasting/forecasting model. Backcasting envisions a future state and examines alternative “pathways of approach” by looking backwards from the future state to the present day. Each pathway is examined in turn to identify interventions required for that pathway to achieve the future state. Each pathway is reviewed using forecasting tools and the most appropriate is selected. This paper describes the application of this approach to the integration of climate change adaptation plans into facilities and built asset management. Design/methodology/approach – The researchers worked with various stakeholders as part of a participatory research team to identify climate change adaptations that may be required to ensure the continued performance of a new educational building over its life cycle. The team identified 2020, 2040 and 2080 year end-goals and assessed alternative pathways of approach. The most appropriate pathways were integrated into the facilities and built asset management plan. Findings – The paper outlines a conceptual framework for formulating long term facilities and built asset management strategies to address adaptation to climate change. Research limitations/implications – The conceptual framework is validated by a single research case study, and further examples are needed to ensure validity of the approach in different facilities management contexts. Originality/value – This is the first paper to explore backcasting principles as part of facilities and built asset management planning.


Space 2006 ◽  
2006 ◽  
Author(s):  
Sarah Shull ◽  
Erica Gralla ◽  
Afreen Siddiqi ◽  
Olivier de Weck ◽  
Robert Shishko

Author(s):  
Puspita Rama Nopiana ◽  
Mufidatul Mufidatul

ABSTRACT Bank an a financial institution that its role in supporting economic development in an area, which raised funds activities and disbursing funds in the form of loans or credit is a form of that money circulates to stabilize the economy.  The purpose of this study was to conduct analysis of the banking healthy level on Bank Perkreditan Rakyat (BPR) in Batam City, for 2012-2016 periods. This research uses descriptive quantitative research design. The report data were extracted from bank’s financial from financial report which had been published by Otoritas Jasa Keuangan (OJK). The assessment analysis of banking healthy level has been carried out by using CAMEL method (Capital, Asset, Management, Earning, and Liquidity) which is based on the decree of BI director No.30/12/KEP/DIR on April 30th, 1997. The results showed that the healthy level of  Bank Perkreditan Rakyat (BPR) in Batam City for 2012-2016 periods showed categorized healthy, where the value – average CAR ratio of 13.68%, KAP ratio of 1.76%, NPM ratio of 16.51%, ROA ratio of 3.86%, BOPO ratio 78.01%, and LDR ratio of 87.05%. Expected for the future later BPR could continue to keep even better, so the level of health can be guaranteed according to applicable regulations.  


Author(s):  
G. A. Boyes ◽  
C. Ellul ◽  
D. Irwin

The use of 3D information models within collaborative working environments and the practice of Building Information Modelling (BIM) are becoming more commonplace within infrastructure projects. Currently used predominantly during the design and construction phase, the use of BIM is capable in theory of providing the information at handover that will satisfy the Asset Information Requirements (AIRs) of the future Infrastructure Manager (IM). One particular challenge is establishing a link between existing construction-centric information and the asset-centric information needed for future operations. Crossrail, a project to build a new high-frequency railway underneath London, is handling many such challenges as they prepare to handover their digital information to the future operator, in particular the need to provide a two-way link between a federated 3D CAD model and an object-relational Asset Information Management System (AIMS). This paper focusses on the potential for improved Asset Management (AM) by integrating BIM and GIS systems and practices, and makes a preliminary report on how 3D spatial queries can be used to establish a two-way relational link between two information systems (3D geometry and asset lists), as well as the challenges being overcome to transform the data to be suitable for AM.


Author(s):  
Arindam Banerjee

A country’s banking sector plays a dominant and important role in its financial growth and economic progress. The prime objective of this research paper is aimed towards evaluating the performance of 12 selected banks in United Arab Emirates (UAE) through various financial ratios. The paper highlights the various financial parameters such as adequacy of risk based capital, credit growth, concentration of credit, non performing position of loans, liquidity gap analysis, liquidity ratios, return on assets, return on equity, net interest margin in analysing the financial performance of the selected banks. The analysis of ratio helps to develop an insight to the extent the various financial variable impact the profitability and the productivity of the selected National Commercial Banks in U.A.E. The purpose of this paper is to examine the future financial performance of selected U.A.E National commercial banks using three indicators; Internal–based performance measured by Return on Assets, Market-based performance measured by Tobin’s Q model (Price / Book value of Equity) and Economic–based performance measured by Economic Value add. The financial data has been adopted from the audited financial statements of the sampled banks for the period of 2014 till 2017. Statistical tools used in the study include multiple regression analysis that captures the impact of the individual size of the bank, the credit risk, efficiency in operations and the asset management on the financial performance followed by forecasting the Future Trend.


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