Dashboard: Solar PV Installations In Australia

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Power Bi Dashboard by MLR

Australia sits atop the world as the leader in the installed solar PV systems.  About 1 in every 3 dwellings in the country has solar panels installed.  The dashboard provides a rich collection of data carefully put up together to provide an interactive source of information pertaining to the solar PV state of the country including a predictor tool to forecast the installation quantity based on several relevant parameters as determined by regression analysis.

The Solar PV Dashboard

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Delay Analysis by MLR

Different Delay Analysis Techniques

A number of claims analysis techniques have been introduced with varying degree of results accuracy and some often offer favorable outcome to the claims proponent, consequently, arising the difficulty for both sides to reach an agreement. The Time Impact Analysis (TIA) has been recognized by practitioners and researchers to produce the most reliable and unbiased results. The drawbacks of this method, however, are its complexity to perform and the stringent requisite of having well-maintained and relevant project documentations.

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Building Information Modelling: The Future Of Project Management

Building Information Modelling: The Future of Project Management

BIM-projects realised cost savings, faster delivery time, and overall improvements in productivity and quality of works through better collaboration of stakeholders and having a centralised repository of information. Several countries in Western Europe, North Americas, Asia, and other parts of the world have already adopted the use of BIM. It is a project management tool. It encompasses all aspects of project management. However, it requires involvement and competency of stakeholders to be effective.

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Schedule Risk Analysis by MLR

Schedule Risk Analysis With Acumen: Effects of Floats And Lags on Results

In this analysis, the effects of the schedule total floats and lags on SRA results are investigated. Four simple schedules were developed using Primavera P6 to understand how results varied when the same single risk was applied to a critical activity, non-critical activity, and to an activity whose criticality was driven by a lag.

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