Optimisation as a driver of efficiency
Planning vehicle schedules and duties is a demanding task. The ability to deploy all resources properly and as effectively as possible poses a real challenge. But the potential here is significant: Making vehicle and duty schedules even just a few percent more efficient can save bus operators and railway companies a lot of money – for trains and (electric) buses alike.
IVU has been working in close partnership with the mathematicians at LBW Optimization GmbH, a spin-off of the renowned Zuse Institute in Berlin, for nearly 20 years to this end. The company develops new mathematical optimisation processes based on current scientific findings. The algorithms that the company creates form the centrepiece of IVU optimisation cores.
This allows you to generate duty and vehicle working schedules that meet all legal and operational requirements in next to no time. This frees up resources that can be utilised to, for example, provide additional services. Duty scheduling is also more balanced and employees are happier. Optimisation means that dispatch managers can instantly respond to disruptions or engineering works and adapt duty and vehicle schedules in a matter of seconds with only minimal changes.
IVU.suite planning products allow you to coordinate duties and vehicle blocks for maximum efficiency. The vehicle schedule optimisation function always finds a needs-based and low-cost solution for the number of journeys that need to be planned. The duty schedule optimisation function then ensures that all vehicle schedules and resulting activities are optimally covered. When doing so, the system takes into account, for example, scheduled maintenance and electric bus charging times.
IVU.suite’s automatic personnel dispatch (APD) function also optimises staff allocation. The system organises roster layouts and allocates them to the relevant employees. Depending on the operational requirements, for example, it considers aspects such as fair allocations or balanced work time accounts. In addition, the APD automatically takes qualifications, holidays, further training and requests into account – which increases driving staff flexibility.
Optimisation not only assists with day-to-day operations, but also helps with business decisions relating to, for example, calls for tenders. This makes it possible to calculate scenarios for lines that have not yet been acquired and use them as a basis for an efficient service offering that puts operators one vehicle’s length ahead of the competition.
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