A Practical Framework to Turn IoT Technology Into Operational Capability
the ERP solution as well as new systems of
differentiation such as the NCR or chatbot. application of the I2OC framework approach
can be described at a high level.
U SE C ASE I MPLEMENTATION The desired business outcome of the
solution is to improve the scheduling of
specialized crews, to improve the first-time
fix rate, reduce production losses due to
regulatory inspection and maintenance
downtime and improve the safety of
workers. This was the first step in applying
the framework (Figure 9, circle 1).
Proprietary scheduling algorithms can
provide the desired outcomes if accurate
data is provided to these algorithms in time
(circle 2). By understanding what data these
algorithms and business rules required, the
An upstream division of a Fortune 10 Oil &
Gas company in North America saved $8
million in a period of six months after
deployment of this I2OC approach. The
savings were calculated during a 6-month
review of the project after “go-live.” It also
resulted in an 18% reduction in field service
trips for a specialized crew. This reduction
directly impacted safety which is a key
measure of success that is not quantified in
monetary terms.
Figure 9 - Practical application of the I2OC framework for a Fortune 10 Oil & Gas business
team could identify the appropriate sources
that would support this (circle 3).
The solution was deployed into production
within 90 days from the start of the project
using the re-usable library and visual design
approach of the I2OC framework. The initial
estimate for a custom-developed solution
exceeded 9 months.
Conflicting data from different operational
and business data sources made accurate
crew scheduling a challenge. Data accuracy,
latency and quality is improved by
combining near real-time data from
operations historians with production and
operations systems. This is depicted with the
The intellectual property of the solution is
proprietary to the company but the
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March 2018