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Workforce Management Analytics : No Jobs = No Optimization

December 31, 2014 ClickSoftware 0 Comments

Author: Michael Pistone

If you don’t have an optimization solution, what is the average number of jobs your schedulers put on the scheduler per day? If you have an optimization solution, what is the average number of jobs your software is putting on the schedule per day? The answer is super important.
data analytics

Let’s say I have 10 field resources and each one has 2 jobs each. 20 jobs for today. Now consider those 10 resources have 5 jobs each. That’s 50 jobs. Whether it’s a computer or human, more jobs equates to more opportunities to make optimized decisions. There will come a point where there will be so many combinations of jobs, field resources, times, and distances that the human can no longer keep up and this is where optimization solutions start to yield the most benefit, especially when your solution looks at jobs and resources across multiple days, not just today and tomorrow.

This metric is subject to variability based on field resource geography as well as work type. For example, a rural field resource may only have one job scheduled and a significant drive time to reach the job site. In another example, field resources may work on long cycle work that consumes an entire day, like install or project work.

As previously stated, the important aspect of Jobs Scheduled per Day relates to the impact on optimization. With more jobs scheduled, an optimization engine has more options to improve the quality of the schedule. That said, this metric can also be used to compare return on investment in relation to the human’s abilities vs. the computer’s abilities to schedule as many jobs as possible. In scenarios where optimization is not present, comparing scheduler performance across multiple employees can provide insight to the schedulerabilities.

Finally, Jobs Scheduled per Day is directly impacted by the accuracy of Planned Durations and Field Resource Efficiency Factor. If Planned Durations are longer than they need to be, fewer jobs will be scheduled. In the same vein, the efficiency of the field resource impacts the planned duration. Junior resources with an efficiency of 2 will double their planned duration (120 minutes instead of 60 for an average resource), thus limiting the amount of scheduled jobs. On the flip side, more senior resources will be scheduled to complete work more quickly, thus allowing for more jobs within the day.

So remember to keep that Gantt filled with work. Your optimization engine will thank you for it, and so will your customers.

Learn more: Service Analytics: Insight into Field Performance


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