Feature Requests

This is a request for Timefold to build a model that assigns jobs to machines over days and weeks, optimizing for production efficiency, minimizing completion time and makespan, and balancing workloads across resources.

This request is to allow configuring traffic impact on various dimensions (time, region etc) to adjust expected travel time for known traffic impact.

"We want to account for various location based constraints when assigning people to shifts, including: minimizing travel distance: absolute and by preferred zones minimizing travel time enough travel time between shifts: make sure there is enough time to move between shift A and B"

This request is for Timefold to build a model that assigns pickup-and-drop-off requests to vehicles, and route vehicles so that multiple pickups and drop offs can be made on the same trip, optimizing for vehicle capacity, efficient routing, and to minimize customer waiting times.

This request is to allow setting a maximum for the number of concurrent shifts at a certain location. A shift can be limited by a tool or machine to use, e.g. a location might only have 3 demo carts, so there can only be 3 concurrent shifts going on at one time.

This is a request to make it possible to set a date range when showing the list of previous runs of a model. This should make it easier to find a specific historic run.

Currently travel configuration is globally. This request is to allow specifying a maximum distance between the employee's home location and the shift's location, at a more granular level.

Today it can be quite difficult to understand all the constraints of a model. It would make a model more easy to understand if constraints that are related together, and represent a feature, could be presented in groups. Ideally these groups each connect to a guide explaining the feature.

This is a request for the Timefold Platform to support setting up configuration profiles for models, that can be used when starting a new run. The configuration profile should be able to set constraint weights, so that the profiles can be used for different optimization goals.