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Industries

Free up to 30% of resources, reduce operating costs by up to 25%, increase profitability up to 20%.

For aviation, logistics and other complex industries and services, Solver uniquely addresses complex planning and scheduling problems by combining Operations Research science expertise and AI software optimization.

Optimized scheduling for aviation

This US-based airline, fourth largest in the world, runs a large fleet of private jets and requisite crews globally.

15
Revenue legs

Over 100 more revenue legs

100
Upgrades

Reduction in upgrades

100
Off fleet

Reduction in off-fleet charges

6
Utility

Increase in overall utility

Business Challenge

With over 700 aircraft, 2,000 pilots, 3,000 crew and over 7,000 owners, this company runs a large, complex organization with thousands of active parts moving minute by minute. It needed scheduling optimization software that could quickly create schedules for aircraft and crew tailored to its business needs, while also maintaining compliance with regulatory and business rules, granular crew qualifications, and pilot schedule restrictions.

Solver was given the opportunity to run a five-day schedule for the company to compare against its current scheduling.

Solution

Solver was given the opportunity to run a five-day schedule for the company to compare against its current scheduling. During the run, Solver was able to present a pick of different schedule options, each with modified rules, penalties, and costs, based on different priorities.

Benefits

Chief result is that $97MM in annual untapped value was uncovered through a complete mitigation of off-fleet legs and upgrades, a 15% increase in revenue legs and a 6% increase in overall utility.

Optimized scheduling for logistics

Solver’s optimized scheduling helps this logistics company  manage its resources more efficiently and recover from disruptions more quickly and effectively.

16
Trucks Used

Fewer Trucks Used

13
Miles Driven

Reduction in overall miles driven

24
Drivers Needed

Less truck drivers used

14
Operation Costs

Decrease in overall operation costs

Business Challenge

A leading North American logistics company was looking to overhaul its operations with multiple objectives, including reducing their direct operating costs and reducing their environmental impact.

Operating around 300 trucks, direct and indirect operating costs related to regularly planning, scheduling, and driving across thousands of miles were increasing significantly. Additionally, the company wanted to reduce its environmental impact, mostly due to direct emissions from significant fuel burn, but also from indirect impacts such as tire retreading and other various oils and hazardous materials associated with use-based maintenance of the trucks.

Solution

 

When looking for a holistic solution, BoldIQ stood out as being able to provide an optimized scheduling software solution that delivered real-time optimal plans for the efficient use of resources, resulting in both reduced operating costs and reduced environmental impact. Moreover, creating additional revenue-generating capacity (without capital investment) was an added bonus.

 

The dynamic operation had a continuously changing demand structure with stringent delivery windows for perishable goods. Moreover there were significant capacity and use constraints for the resources (trucks and unionized drivers). Adding to this were constraints around highways and toll roads, traffic, unexpected mechanical breakdowns and driver no-shows, temporary plant shutdowns, and additional ad-hoc disruptions.

 

With BoldIQ’s Solver, a unique operations-focused and proprietary optimization engine – the company was able to address its range of requirements. By utilizing sophisticated optimization algorithms and methodologies, the logistics company is able to plan the utilization of its resources more efficiently, as well as manage and recover from disruptions quickly and effectively.

 

Benefits

 

The end result: a real-time operating plan that optimizes the use of resources, minimizing the required resources to meet demand, and minimizing non-revenue legs – in both cases directly reducing unnecessary operating costs, fuel burn, and emissions.

 

With BoldIQ, the logistics company is able to truly achieve a double bottom line, taking full advantage of their expensive resources.

Solver | Logistics Case Study