The company TRENORD was founded May 3, 2011 by combining the experience, competence and structures of Trenitalia (Lombardy Regional Division) and LeNORD (FNM Group) – 50% shareholders each – for the purpose of rationalizing and optimizing Lombardy’s railway service. It operates 42 regional lines, 10 suburban lines and 3 lines dedicated to the Malpensa Express airport service. It also works in conjunction with Deutsche Bahn and Österreichische Bundesbahnen in managing EuroCity in Italian territory. With a fleet of 330 trains, TRENORD runs over 2,300 services each day, transporting more than 650,000 passengers in Lombardy. Lombardy’s railway network (1,900 km, not including high-speed lines) is one of the most frequently used in Europe. About 3.8 trillion passengers/km in total travel on it yearly, most of which coming together toward Milan.
The GoalRail® system allows, for example, for optimizing the resources necessary for tackling changes in large regions’ transport systems, for evaluating various options, various locations for infrastructures, different types of material, etc. All of the above is for the purpose of making the best possible decisions when facing new challenges in the market or when improving current operations, also including a powerful new dispatch module for controlling daily operations. Improving said operations allows for a savings in cost and improved service for passengers.
GOAL SYSTEMS continues to be the leader in Resource Planning and Optimization Software for railway companies, demonstrating once more that its solutions, specifically for this line of business, can be customized perfectly for the various companies distributed across five continents.
We would like to take this opportunity to thank Trenord and Nordcom for choosing GOAL SYSTEMS to take on this new challenge.
Visit GOAL SYSTEMS: http://www.goalsystems.com/
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Company specializing in the development and roll-out of advanced IT systems applying optimization techniques to achieve better profitability, sustainability and competitiveness through the optimum scheduling and structuring of their resources.