2017
dB
carrying out the project and to review any known
constraints that may affect the hypothesis. These
two factors will be explored in even greater depth
and detail in the next phases of the project.
FEASIBILITY
In this phase, the objective is to validate or disprove
the hypothesis and conclusively prove that the future
state goals are achievable. This involves quantifying
both the current state, or baseline, and the system’s
desired future state, as well as testing the hypothesis
against already known constraints.
If the hypothesis involves an adjustment of the
workflow or business process model, establishing
its feasibility may be as simple as developing a few
process maps showing that, for instance, collapsing
steps on a noncritical path can reduce cycle time. If
the hypothesis relates to a complex change, however,
establishing its feasibility is likely to be a rigorous
undertaking requiring many hours of analysis. For
example, checking the feasibility of the hypothesis
“shipping costs can be reduced by 15 percent by
reducing express air freight” would require collecting and analyzing data on airfreight spend, shipment
volumes, and customers’ service-level expectations
over time, as well as destination geo-coding, mapping, and alternate transportation flows. In this case,
potentially hundreds of hours would be invested
studying data to prove that costs could actually be
reduced by 15 percent, and if so, what tradeoffs exist.
Either way, validating a hypothesis’s feasibility
is critical if you want to avoid overcommitting
resources to a project that ends up being a marginal
producer or cannot be implemented due to a “hard”
constraint (for example, if customers paid for all
express airfreight shipments in the previous year).
“GO/NO GO” DECISION POINT
At this point, the team decides whether or not the
project should proceed. In fact, a project idea must
“pass muster” several times before it moves into the
full-blown project phase. We designed such decision
points into the process because project managers
need the flexibility to abandon the project early on
if it does not meet certain feasibility requirements.
Many projects produce suboptimal results because
no one individual—or even a large group—has the
power to stop them. Subordinates are often unwilling to tell their superiors that a project should not
be implemented. By designing in “gates” where the
team needs to provide sufficient evidence in order
to proceed, we take the burden off the project team
and place it on the process itself. Failing to prove
that sufficient evidence exists to continue a project
does not constitute “failure,” and project sponsors
can refocus their energy in other areas.
DUE DILIGENCE
This is the time to discover information that will
be relevant to designing a solution, such as what
processes, relationships, activities, and information
technology (IT) systems should be involved, as well
as what their interdependencies are. In many cases
it requires gathering large quantities of historical
transactional data from multiple systems.
This is a much longer data-gathering exercise than
[FIGURE 1] EXAMPLES OF SUPPLY CHAIN PROJECTS