Get started with optimization

Get started with optimization

Optimization takes a set of jobs and resources and quickly creates a valid schedule that takes into account specific job requirements, resource suitability to carry out the work, and can also take travel time into account.

There are three main ways of creating an optimized schedule using Skedulo’s optimization feature:

  • Optimize on the scheduling swimlane.
  • Create a recurring optimization run using the Optimization schedules settings page.
  • Remotely optimize work using the /optimization API.

This section provides tutorials for each of these optimization strategies.

About these tutorials

These tutorials demonstrate optimization using a Skedulo organization, but the process of optimizing work is the same for Skedulo for Salesforce organizations.

They are designed to get you familiar with the different ways you can use optimization in Skedulo and are fairly basic. For more detailed information about our API, see the API documentation, or the other relevant sections of this chapter.

Optimize on the swimlane

Optimizing jobs on the swimlane is best suited to smaller optimization runs.

The amount of time it takes for optimization to find a scheduling solution for the jobs you want to optimize will depend on the number of jobs included in the request, but should not take longer than a few seconds.

In this tutorial, we are going to schedule 10 jobs with a balanced workload between three resources over one day on the swimlane. We will keep it simple by not setting any specific tags or time constraints, but we will take travel time between the resources home addresses and the job locations into account.

Before you start

You should already be familiar with the Skedulo web application and how to create jobs, resources, and availability.

  • You will need to have already set up some resources in your organization who have availability for the day you want to schedule. Make sure all of the resources have the same region and that they have a home address.

  • You will also need to have at least 10 jobs created for the region where your resources are allocated. These jobs should all have addresses, but no start times or constraints.

  1. In the Skedulo web application, to go the swimlane view under Schedule -> Swimlane.

  2. Click Region in the filter bar and select the region where you have created your jobs to be optimized and resources.

  3. Choose the day you want to schedule the jobs from the date picker above the swimlane.

  4. Select Day from the drop down menu in the upper-right part of the schedule view to only display that day.

  5. Select the 10 Queued jobs that you want to schedule using optimization from the list on the left.

  6. Click the lightning Optimize button in the upper-left part of the schedule to open the optimization options.

  7. Select Balanced Workload from the optimization menu bar, then click the Optimization Defaults and add a Maximum Travel Time of 30 minutes. The other default options Respect schedule, Respect Job Times, Respect Job Times over time constraints should also be enabled. Optimization options

  8. Click Run, then wait for the optimization to complete. This should take about 15 seconds.

    When the optimization is complete the following summary is displayed showing the jobs assigned. If there are any jobs that have not been allocated, they are shown in the Unallocated jobs tab. Optimization summary

    The scheduled work is shown on the swimlane: Optimized schedule

  9. Click Save to schedule the jobs.

The jobs are now scheduled and Pending Dispatch.

Schedule a batch optimization using the Skedulo web application

Optimization schedules can be used to run larger optimization queries over longer periods of time to yield better results.

In this tutorial, you will create a recurring optimization using the Optimization schedules settings page.

You will use a combination of the basic and custom setting to configure an optimization request that creates a schedule for all Queued jobs each day at 5PM to be scheduled two days in advance. e.

Before you start

  • Some basic understanding of EQL filters is required to use the custom settings for batch optimization requests.

    See the EQL filters documentation for information about using EQL filters in queries.

  • Create 10 jobs with addresses but without any scheduled start date or time or any other time constraints.

Part 1: The basic optimization schedules settings

In this part you will set up the basic configuration options to run the query starting at 5PM on the current day to create a schedule for a day two days in advance.

  1. In the web app, go to Settings -> Optimization schedules.
  2. Provide a name for your optimization schedule.
  3. Set the timezone for the region where your jobs are located.
  4. Select the current day as the Run date.
  5. Schedule the optimization to run at 5PM.
  6. Use the default scheduling settings.
  7. Set the Date range to 1 day.
  8. Select the date two days from the current date as the First scheduling window. This sets the offset, the number of days in advance that the schedule is being created, to two days.

Part 2: Use EQL filters to select jobs and resources to be included in the request

In this part you will use the custom setting to select the jobs and resources you want to include in the query using EQL filters.

  1. On the Edit optimization schedule page under Jobs, select Custom.

  2. Enter the following custom filter string in the box provided:

    JobStatus == "Queued"

    This EQL filter selects all jobs that have a Queued status.

  3. Under Resources, select Custom.

  4. Enter the following custom filter string in the box provided:

    EmploymentType == "Full-time"

    This EQL filter selects all resources that are Full-time.

  5. Check the box to Make optimization recurring, then select the following options:

    • Repeat Daily.
    • Every 1 days.
    • Ending On.
    • Then select a date one month from now.
  6. Click Save to save the recurring optimization.

The Batch optimization page now shows the optimization is scheduled to run daily, with the next run today at 5PM.

Create a batch optimization schedule using the /optimization API

The new /optimization endpoint accepts the same payload as /planr with the added ability to create a batch optimization schedule using /optimization/batch/schedule.

In this tutorial you will use the optimization API to create a batch optimization query that schedules all Queued jobs each day at 5PM to be scheduled two days in advance.

Before you start

  • Some basic understanding of EQL filters is required to use the custom settings for batch optimization requests.

    See the EQL filters documentation for information about using EQL filters in queries.

  • Create 10 jobs with addresses but without any scheduled start date or time or any other time constraints.

  1. Using your preferred REST API client or curl, submit a POST request to https://api.skedulo.com/optimization/batch/schedule with the following payload:

    {
      "name": "Brisbane",
      "jobQuery" : "JobStatus == \"Queued\"",
      "resourceQuery" : "EmploymentType == 'Full-time'",
      "region" : "00030443-08b8-4612-a55a-75cb600e2729",
      "runDate" : "2020-07-29",
      "timezone": "Australia/Brisbane",
      "earliestStartTime" : "17:00:00",
      "dayRange" : 1,
      "dayOffset" : 2,
      "recurring" : {
        "step" : 1,
        "repeatMode" : "daily",
        "endAfterNumberOccurrences" : 1,
        "repeatOnWeekDays" : [
          "sun",
          "mon",
          "tue",
          "wed",
          "thu",
          "fri",
          "sat"
        ]
      }
    }
    

    The successful request returns an ID for the batch optimization schedule. You can use this ID to check the details of the optimization request.

  2. Submit a GET request to https://api.skedulo.com/optimization/batch/schedule/{schedule_id}, replacing the {schedule_id} with the ID returned in the previous step.

    This returns the details of the batch optimization schedule that you created in step 1.

    {
      "name": "Brisbane",
      "jobQuery": "JobStatus == \"Queued\"",
      "resourceQuery": "EmploymentType == 'Full-time'",
      "region": "00030443-08b8-4612-a55a-75cb600e2729",
      "runDate": "2020-07-29",
      "timezone": "Australia/Brisbane",
      "earliestStartTime": "17:00:00",
      "latestEndTime": null,
      "dayRange": 1,
      "dayOffset": 2,
      "recurring": {
        "step": 1,
        "repeatMode": "daily",
        "endAfterNumberOccurrences": 1
      },
      ...
      "lastModifiedByUserId": "000154e2-4a1f-45c9-842f-ca23d8f9f18c",
      "lastModifiedByDate": "2020-07-29T03:18:24.831313Z",
      "createdByUserId": "000154e2-4a1f-45c9-842f-ca23d8f9f18c",
      "createdByDate": "2020-07-29T03:18:24.831313Z"
    }
    
  3. Open Settings -> Optimization schedules in the Skedulo web app to view the new batch optimization in the list of recurring optimizations.