案例库 · 工程与运营 · 运营决策 · 2020–2024
这条还没译成中文，下面是英文原文。
Molslinjen ran its ferries on a forecasting and revenue-management toolbox, not habit.
A ferry operator measures capacity in lane metres, not seats, so it built forecasting plus pack and pricing engines that cut fuel, delays and cost.
Molslinjen · Halfspace
那一手
Molslinjen runs fast catamaran ferries across Danish waters and is one of the world's largest such operators. It moved to digitalisation and partnered with Halfspace, a Copenhagen data and AI firm, to change how it forecasts demand and prices departures.
The core insight is that ferry capacity is measured in lane metres, not in integer seats, so no-shows and overbooking behave differently from an airline. The team engineered a forecasting engine, an optimal packing algorithm for the cargo deck, and a dynamic-pricing engine that reads context and regulatory constraints.
Deployed operationally from 2020, the toolbox delivered $2.6 to $3.2 million in yearly savings, about $5 million in total by December 2023, fewer and shorter delays, and a 3% cut in fuel costs and emissions.
为什么管用
- A reservation occupies a length of deck, so the classical seat-count revenue model does not fit.
- Forecasting true lane-metre usage lets the operator sell what will actually be loaded, not what was booked.
- Optimal packing squeezes more vehicles onto the same deck, raising utilisation without a bigger ship.
- Dynamic pricing captures willingness to pay per departure instead of one flat fare.
可以搬走什么
When the unit of capacity is continuous rather than integer, seat-based tools mislead: forecast actual usage and pack and price to that instead.
后来呢
The work won the 2024 Edelman Award and was written up as the Interfaces paper Data-Driven at Sea. Halfspace said the toolbox generalises to the wider ferry industry, and the team highlighted the revenue and environmental gains as the method spreads beyond Denmark.
资料来源
- Operations Research Enhances Data-Driven Ferry Operations: Molslinjen Awarded the 2024 INFORMS Edelman Award
- Data-Driven at Sea: Forecasting and Revenue Management at Molslinjen
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