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Many organisations still run their planning, capacity and logistics processes largely by hand, while the number of factors keeps growing. Think of availability, preferences, locations, travel times, capacity, materials, costs and last-minute changes. As a result, a lot of time is lost to planning, shuffling and checking.
Optimisation algorithms bring these factors together and quickly calculate a suitable schedule or route. Employees stay in control: the software supports the trade-offs and makes the consequences of choices visible.
Employees spend a lot of time planning, shuffling, checking and re-aligning.
Availability, preferences, contract hours, locations and resources all have to be weighed up at once.
Unnecessary kilometres, travel time and unused capacity raise costs and lower productivity.
People, vehicles or other resources are not distributed optimally across jobs and time slots.
One last-minute change leads to a string of manual adjustments across the whole schedule.
It is hard to see in advance what effect a choice has on costs, travel time, utilisation and service.
In practice, a good schedule has to take account of availability, preferred working days, holidays, contract hours, rest periods, vehicles, resources and specific role requirements, among other things. With dozens of variables, planning by hand quickly becomes time-consuming and fragile.
An optimisation engine puts a schedule together automatically on the basis of rules, priorities and preferences set in advance. The result is not only efficient, it also matches day-to-day practice and the agreements within your organisation.
The software turns complex constraints into a practical proposal. Planners keep their overview and can adjust where needed.
People and resources, locations and times, rules and preferences.
Weighs up scenarios, keeps within the constraints and optimises for your priorities.
A workable schedule, efficient routes and insight into choices.
Wherever people, resources, locations and time come together, optimisation can make processes more efficient. Examples include:
In logistics processes, efficiency has a direct effect on costs and performance. Route optimisation combines pick-up and delivery locations, available capacity, travel times, vehicle loading, geographical spread and existing jobs.
That makes it clear which jobs can sensibly be combined, which route gives the highest load factor and which schedule limits travel time.
Smarter schedules, more efficient routes and optimal use of people, resources and capacity.
Organisations that work with schedules, routes or capacity often face a growing number of dependencies. Employees, vehicles, locations, availability, preferences and operational constraints all have to be kept aligned.
While an organisation is small this can often be done by hand. As processes grow more complex, planning takes more and more time and the chance of mistakes rises. With planning and route optimisation, smart software supports these complex trade-offs automatically. Employees then spend less time planning and more time on their core work.
By making these insights available in a bespoke application, planners make better-founded decisions faster.
No two organisations plan the same way. Processes, preferences, conditions and priorities differ. So we build a solution that fits the way your organisation actually works and uses proven optimisation technology.
Depending on the problem, an engine such as Timefold can be used to solve complex planning problems automatically. JAM-IT translates the business rules into an easy-to-use solution that is not only optimal in theory, but genuinely works for planners and the people doing the work.
Planning and route optimisation rarely stands on its own. The solution can be connected to existing applications, ERP systems, planning software and geographic information systems (GIS). That creates one central environment where planning, execution and insight come together.
Many organisations spend more time every day planning, aligning and rescheduling than they need to. We would be glad to map out where smart planning and route optimisation can deliver value within your organisation.
Planning optimisation uses rules, priorities and algorithms to distribute people, resources, locations and time across work as effectively as possible.
Route optimisation calculates efficient routes based on locations, travel times, capacity, vehicle loading and scheduled jobs, among other things.
Yes. A bespoke solution can take account of organisation-specific constraints, preferences, priorities and exceptions.
Yes. The solution can work with ERP systems, planning software, GIS and other business-critical applications through integrations.
No. The same principles apply to staff planning, field service, warehouse processes, order picking and capacity planning, among others.
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An innovative web application that lets companies plan large-scale car transport efficiently and calculate costs.
View the case →](/cases/innovative-solution-for-large-scale-car-transport/)
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