Mumbai, (Metro Rail News): Bahwan CyberTek (BCT) Group, a global provider of digital transformation solutions, was awarded a contract to build the Common Asset Management System (CAMS) for Mumbai Metro Line-3, by the Mumbai Metro Rail Corporation Limited (MMRCL), the nodal agency responsible for the implementation of the MML-3 project in India. Bahwan CyberTek will provide the end-to-end design, implementation, and support for CAMS, leveraging its expertise in delivering enterprise-class EAM solutions. The project was kicked off in the presence of Mr. Ranjit Singh Deol, IAS, Managing Director, MMRCL, and Mr. V.M. Muralidharan, Chief Operating Officer, Bahwan CyberTek.
Bahwan CyberTek will build an integrated CAMS to optimize processes, perform lifecycle cost monitoring and improve cost efficiency of MMRCL. The CAMS project is scheduled to be completed in 18 months, and BCT will deploy a dedicated team of technology experts, enterprise solution architects, and integration and quality assurance experts for the total project period of 4 years.
The CAMS solution will help MMRCL manage different types of assets such as rolling stock, tracks, power supply systems, traction systems, signaling and control systems, platform screen doors, telecommunication systems, plants and equipment, automated fare collection systems, escalators, and lifts, tunnel ventilation systems, security systems, infrastructure, and related systems and electro-mechanical systems like fire alarms, domestic water, lightning, etc. through a single-window enterprise application.
The MML-3 project, a 33.5-kilometer-long corridor running along Colaba-Bandra-SEEPZ, aims to decongest the traffic situation in Greater Mumbai. Apart from better connectivity, it will help reduce travel time, air & noise pollution and provide better safety & security for citizens.
Commenting on the partnership, Muralidharan said, “We’re happy to partner with MMRCL on the prestigious CAMS project. MML-3, which is expected to commute over 16 lakh people daily, is a massive project in terms of scale and application. Having executed large-scale EAM projects across the world, we understand the scale and volume of assets involved here. Our AI/ML-driven integrated asset management solutions are proven for keeping critical assets operating at maximum efficiency. We look forward to driving the same results here.”