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Dispatch Console Dataset Limitations

  • March 20, 2024
  • 11 replies
  • 240 views

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When using the 23R2 Dispatch Console for manual resource assignment for a customer who does not use PSO and has 4000 resources, is it advisable to use multiple datasets?  What advantage would the use of multiple datasets bring without PSO?  Is there is a concern that so many resources under one dataset would cause performance issues in the Dispatch Console even without using PSO?  Couldn’t filters on Resource Group and Region sufficiently limit the number or resources hitting the Dispatch Console even with all 4000 resources in one dataset?

11 replies

Alexander Heinze
Ultimate Hero (Employee)
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Even without PSO I would definitely use multiple datasets to avoid performance issues. How are these  4,000 resources split - countries/regions/business units, etc.? How many Service Organizations or sites are you using or planning to use? How many resources would a dispatcher typically be responsible for?


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  • Author
  • Do Gooder (Employee)
  • March 22, 2024

@Alexander Heinze 

Thanks Alexander,

Those 4,000 resources are for Crown, all in the USA, split across 73 “branches” each of which is a site, and those branches are grouped into 10 regions.  Each branch/site handles its own dispatch of around 50 technicians.  Reframing my questions I would ask, what is a recommended maximum number of resources per dataset when not using PSO?  And to understand the potential performance impact, why would a dispatch console that is filtered to show only a few dozen resources suffer a performance problem even with an underlying dataset of thousands of resources?


Björn Kleist
Hero (Employee)
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  • Hero (Employee)
  • March 26, 2024

@dakius , we are working on benchmarking figures as we speak. I would however draw the conclusion that these figures that you are mention above are probably the highest by far that we have seen from a manual scheduling perspective thus far. The benchmarking exercise will result in somekind of recommendations from our end, but this is still in flight. Lastly applying filters in Dispatch Console as the default population behaviour will improve the performance and reduce the load time significantly.


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  • Sidekick (Employee)
  • July 2, 2025

Hi ​@Björn Kleist, ​@Alexander Heinze,

@dakius , we are working on benchmarking figures as we speak. I would however draw the conclusion that these figures that you are mention above are probably the highest by far that we have seen from a manual scheduling perspective thus far. The benchmarking exercise will result in somekind of recommendations from our end, but this is still in flight. Lastly applying filters in Dispatch Console as the default population behaviour will improve the performance and reduce the load time significantly.

Do you have an update on the benchmark numbers for Dispatch Console?

There is a situation where the customer is experiencing a visibility issue in the Gantt when “Hide non-working time” is enabled. However, this happens only in their Production environment but not in any of the other lower environments which are in the same version, 24.1.5. Client framework versions are also the same (24.1.12). The assumed cause for this issue is the high amount of data available in their Prod compared to that of other environments. So, they would like to know the number of activities and resources that can be loaded to a single dataset.


Björn Kleist
Hero (Employee)
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  • Hero (Employee)
  • July 17, 2025

Hi @Thanuja, 

Benchmark exercise is still ongoing. What you are describing however needs to be handled through a support case. Is there such a support case if so we should investigate the issue and see whether it is related to performance or not. I dont think it sounds like a performance issue if the gantt is not struggeling to load data , but that rather you are experiencing some kind of problem with the Hide working time.


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  • Sidekick (Employee)
  • July 22, 2025

Hi ​@Björn Kleist,

Thank you for the response. There is indeed a support case raised by a customer. I have already initiated discussions with Scheduling and Framework Product Development teams. Their recommendation was to upgrade to the latest version as some improvements have been done to hide non-working time algorithm since 24R1 SU5 and it could solve this issue.


kasunhp
Sidekick (Partner)
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  • Sidekick (Partner)
  • March 27, 2026

Hi ​@Björn Kleist ​@Alexander Heinze 

 

Do you have any benchmark values for a recommended maximum number of resources and activities or a combination for a dataset for manual scheduling with PSO.

If we have more datasets to streamline resources and dispatchers to work with less number of activities per dataset, will that make PSO slower? Is it better to use less datasets with filters such as Region, Delivery Units?


Alexander Heinze
Ultimate Hero (Employee)
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Hi ​@Björn Kleist ​@Alexander Heinze 

 

Do you have any benchmark values for a recommended maximum number of resources and activities or a combination for a dataset for manual scheduling with PSO.

If we have more datasets to streamline resources and dispatchers to work with less number of activities per dataset, will that make PSO slower? Is it better to use less datasets with filters such as Region, Delivery Units?

What order of magnitude would you need? With PSO’s “APPOINTMENT” process type the recommendation already goes to a max of 35,000 activities, that would work for MANUAL as well.


kasunhp
Sidekick (Partner)
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  • Sidekick (Partner)
  • March 27, 2026

Hi ​@Björn Kleist ​@Alexander Heinze 

 

Do you have any benchmark values for a recommended maximum number of resources and activities or a combination for a dataset for manual scheduling with PSO.

If we have more datasets to streamline resources and dispatchers to work with less number of activities per dataset, will that make PSO slower? Is it better to use less datasets with filters such as Region, Delivery Units?

What order of magnitude would you need? With PSO’s “APPOINTMENT” process type the recommendation already goes to a max of 35,000 activities, that would work for MANUAL as well.

 

I assume, It would be around 40000/50000 activities. Working on exact figure. If we have more datasets in Region based (then will be around 20/30 datasets),  then will it make some performance issue due to the many datasets? 


Alexander Heinze
Ultimate Hero (Employee)
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Hi ​@Björn Kleist ​@Alexander Heinze 

 

Do you have any benchmark values for a recommended maximum number of resources and activities or a combination for a dataset for manual scheduling with PSO.

If we have more datasets to streamline resources and dispatchers to work with less number of activities per dataset, will that make PSO slower? Is it better to use less datasets with filters such as Region, Delivery Units?

What order of magnitude would you need? With PSO’s “APPOINTMENT” process type the recommendation already goes to a max of 35,000 activities, that would work for MANUAL as well.

 

I assume, It would be around 40000/50000 activities. Working on exact figure. If we have more datasets in Region based (then will be around 20/30 datasets),  then will it make some performance issue due to the many datasets? 

In that case I would reach out to your IFS account executive to create a proper sizing based on the amount of data. You also need to consider workbench users for this.


kasunhp
Sidekick (Partner)
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  • Sidekick (Partner)
  • March 30, 2026

Hi ​@Alexander Heinze,

 

What does an activity means? is it only an assignment of a request task? Or, if there travel to and from components associated with an assignment to technicians, does that mean three activities?