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Kalmar SmartPort automation to be used at Termont Montreal

KALMAR, part of Cargotec, has finalised an agreement to supply container terminal operator Termont Montreal Inc (Termont) with a suite of Kalmar SmartPort process automation solutions for its cargo-handling equipment fleet

12 May 2020 - 19:00

KALMAR, part of Cargotec, has finalised an agreement to supply container terminal operator Termont Montreal Inc (Termont) with a suite of Kalmar SmartPort process automation solutions for its cargo-handling equipment fleet.

The order, which also includes service deployment, configuration and ongoing support, was booked in Cargotec's 2020 Q1 order intake, with delivery scheduled to begin in Q2 of 2020.



Termont is based at the Port of Montreal. Their Maisonneuve terminal has been running for over 25 years and handles over 500,000 TEU of containerised cargo per year. The company's new Viau terminal, also in Montreal, provides additional space to accommodate customer growth. Termont's fleet of cargo-handling equipment includes rubber-tyred gantry cranes, front end loaders and terminal tractors.



The order comprises a range of Kalmar SmartPort process automation solutions including SmartStack, SmartLift, SmartScreen and SmartMap which will be implemented across the entire cargo-handling equipment fleet.



'The ability to remotely access real-time and historical equipment data is invaluable. SmartMap, for example, will give us clear visibility over what our machines are doing between jobs and therefore help us identify where we can make improvements in operator training,' said Termont general manager Julien Dubreuil.



'Furthermore, we have been using the Navis N4 terminal operating system for some time, and now have the opportunity to automate a number of data collection functions to improve operator productivity, safety, and data accuracy.'



Said Kalmar vice president John Scott: 'During the evaluation process Termont had the opportunity to visit Kalmar's existing customers to learn about their experiences and to benchmark existing processes.'


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