Map based dispatching enhances Mobile Workforce Management
Scott Waldman
Guy Waterman
IMedeon, Inc.
11605 Haynes Bridge Road
Suite 600
Alpharetta, Georgia 30004
770-777-8100
Map Based Dispatching
It is generally believed that the use of map based dispatching is only
applicable when considering short cycle work requiring immediate
attention but not for work with a longer planning horizon. The reasons
for this belief stem from the fact that this type of dispatching
requires the physical creation of the relationship between the work
resource and the work task. As the number of field work orders grow,
this manual process becomes too cumbersome to manage effectively in a
graphical manner. Programmatic scheduling algorithms are routinely
applied to situations where large numbers of orders with longer lead
times and service resources are associated in a manner to meet customer
requests while making the most efficient use of an organization’s
resources. Unfortunately many people believe that short and long
cycle work cannot be effectively co-mingled in the graphical environment
because the cost of doing so does not generate the benefits necessary.
While creation of order schedules are best served by the use of
optimization algorithms, once scheduled (typically committed the day
prior to its due time) all orders enter the phase of execution. The
phase of execution is the most critical time in the order’s life cycle.
It is the time when a customer’s expectations for delivery are the
highest and the company’s ability (or inability) to deliver the product
or service is most exposed. Most ethical companies will not accept work
without the ability to fulfill it, but the reason why most companies
fail to deliver on their commitments is that they did not account for
the one factor that tends turn many good schedules in to bad schedules ---
change. Change imposed by factors within and beyond the control of
the service provider. It can be argued that it is possible for
scheduling routines to account for environmental changes and make the
necessary adjustments to maintain the highest customer service levels.
However, it is likely impossible for any routine to be robust enough to
simultaneously consider and resolve in a timely manner the absolute
number of possible outside influences that could disrupt a ‘good’
schedule. In the execution zone, there is currently only one entity
that can effectively manage a schedule in a manner that maximizes
service levels while simultaneously balancing profitability. A human
scheduler is that entity.
When a schedule is presented to a scheduler/dispatcher, it is their
responsibility to follow the progress of the orders from the time they
are assigned through fulfillment. Maximizing productivity of workers in
the field and managing customer expectations are critical to the success
of the scheduler’s mission. Managing any number of orders in a manual
mode or non-graphical automated manner places the mission of the
scheduler and of the company at great risk when compared to managing the
same tasks in a graphical, map-based manner.
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