News

We are delighted to announce that in partnership with RTITB, we've been shortlisted for the CILT UK Awards for Excellence in the Technology Innovation category.

As part of its commitment to raising safety standards across the materials handling industry, the British Industrial Truck Association (BITA) is once again championing the cause of National Forklift Safety Day – with a new theme for 2020. National Forklift Safety Day focuses on raising awareness of safe working practices with all users of materials handling equipment.

To enable you to explore the benefits of self-paced learning and digital storytelling, RTITB are hosting a free seminar “Digital learning in lift truck training – making it efficient and powerful” on 27th January at their Head Office in Telford, West Midlands. The seminar will be delivered by Per Nilsson, a digital learning expert with over 25 years' experience. Book your place now.

RTITB is changing lift truck training forever with its new eTruck UK - a completely unique digital storytelling tool that will increase training effectiveness while reducing training time by as much as 2 days per course.

First of January 2020 a new version of CACES® regulations for education of lift truck operators become operational. The new version among other changes include new categorisations of certain lift truck types. eTruck will be released in a new adapted version well before the new standard is launched.

We are happy to announce that eTruck - the Web-based lift truck operator’s training course - has made it on to the short list for this year’s Talent in Logistics Awards in the category Innovative Training Programme.

MA-system continues to support Atea in the construction and design of their warehouses. The framework of the building, roof and walls are now in place and the project is proceeding according to plan.

Since the beginning of the year, Josephine Falkenberg Olsson and Erik Flink have helped MA-system customers to become more profitable using efficient logistics and smarter processes.

Anyone who has worked with suppliers recognizes the problem; will the order be delivered on time? Often you do not know until it's too late. In collaboration with LTH and the sister company PipeChain, we started a Master Thesis project that investigates how artificial intelligence can be used to predict the likelihood that the order will arrive on time.

Rrahman Rexhepi has been working as a developer at MA-System Consulting since October 20th.