Integrated optimization: Consistent strategies for shifts and blocks
Shifts and blocks affect each other, so we should generate or calculate them at the same time. Such integrated optimization is much more complex than the conventional separated process, but it returns better results because all parameters are continuously taken into account.
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integrated approach to creating shifts and blocks
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takes legal requirements and works agreements into account
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incorporates depot capacities and vehicle ranges
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visualizes shifts, blocks, depot capacities, and charging statuses for various solution variants
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seamless connection to DIVA
Integrated optimization
Overview of functions
Technical highlights
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High-performance modules for shift, block, and capacity checks assess the validity of thousands of shifts/blocks per second
The user-friendly dialogs can be used to configure optimization parameters to suit your desired running time in the blink of an eye. If you have multiple configurations, you can automatically accept the values and compare them. All adjustments are visually represented in KPI graphs.
The optimizer can comprehensively visualize blocks and depot capacities. This shows vehicle deployment times organized according to vehicle depot and operator, enabling you to better analyze and assess your day-to-day vehicle deployment.
You can use integrated optimization even if you need to deploy e-buses and create blocks for them. Available depot capacities are taken into account, as are vehicle ranges and electric vehicle charging infrastructure.
Vehicle types can be replaced with respect to type-dependent fixed and deployment costs.
If a scenario requires procuring new vehicles, you can incorporate the procurement costs into your planning.
In scenarios involving sub-contractors, total workloads can be automatically distributed among the individual operators. Work is assigned according to individual requirements.
For offering planning, the optimizer provides special functions to deal with the higher abstraction level of this area.
You can use GIS-based routing to realistically estimate route option information (length, duration).
Input data can be checked quickly and simply for plausibility. If drivers need to return to the depot after they are relieved, but the relevant driver trip time is missing, the cause might be faulty data.
You can model the transportation network at the stop level instead of the stopping point level or use an alternative aggregation level.
NEW: INTEGRATED OPTIMIZATION AS A SERVICE BY MENTZ. ASK US ABOUT IT!
