Asset Management is the optimal allocation of the scarce budget between the new arrangement of asset and rehabilitation, maintenance of the existing assets to maximize the value of the stock of assets and to realize the maximum outcomes for the stakeholders.
Spin-off research and models for determination of optimal intervention strategies for buildings and engineering systems from Kyoto University and ETH Zurich.
We are capable of providing asset management services for various types of engineering and infrastructure systems such as water and waste water utilities (Water Treatment Plants, Pump Stations, and Pipeline), mechanical and electrical assets of industrial plants, bridge and pavement systems, and building assets.
We are fully committed to apply the state-of-the-art asset management standards (e.g. FMEA, ISO 55000/01/02) to realize the best and optimal solutions for keeping and maintaining your assets in good conditions and constantly provide adequate level of services.
We conduct Due Diligence studies on building systems, infrastructure systems, and industrial sites using innovative digital tools and by experienced engineers to help capital investors arriving at optimal merging and acquisition decisions.
We believe that transport is about the movement of people, not vehicles. We are driven by the belief that as our cities grow, and as demand for movement increases, there are always better ways of doing things. To help realize the vision of fully integrated and effective transport networks, our team offers the full range of technical and strategic skills required to shape the future.
Our advantages compared to other international consulting firms are
We offer significant lower fee compared to that offered by international engineering firms (e.g. Arup, GHD, Arcadis) but with unparalleled quality. This is thanks to having a excellent pool of experts who graduated abroad and used to work for international consulting firms before.
Understand the local context, especially when considering mixed of transportation modes and travel behaviors as in Vietnam commuting with motorbikes is still dominant.
Using time series and panel dataset on engineering’s parameters and variables of system, we can detect trends, establish correlation, and perform inference analysis that will support Clients on arriving at optimal business solutions
Our data team use R and Python extensively for data mining, data transformation, quantitative analysis, data modelling, and data visualization.