Last week I talked about harnessing the experienced
community for knowledge management, the concept enablement to contribute
through "crowd source". This week I would like to expand the concept with
the virtual expert team and how critical enabling this community of knowledge
and experience to be empowered to work in real time with the plant, operational
staff, enabling real-time decisions.
In January we introduced the operational landscape in
2020, where projected tenures in roles or locations to be below 2.4 years, (I
believe will be less than this in many areas). The other notable observation
was that 1 in 3 of the workforce will be in project work vs. careers, temporarily
engaged to supply expertise and skill to a project, or situation. Giving rise
to a "vacuum" knowledge effect when they leave, often causing an
uncertainty, lack of confidence in making decisions.
Introducing the
challenges of enabling decisions, with lack of experience.
Companies talk about their experts either in the company
or in partners, who are stretched and how they keep "taking the expert to
the problem" and the need to transition to "taking the problem to
expert".
During the last two weeks I have been engaged with a
couple of large distributed projects, in environments where there is 20% turn
over of expertise from trade’s people, operational, maintenance, process
experts and staff. The growth in companies investigating or implementing "operational
centers" is indicative of the challenge as the experts can be located in a
central location, and interact with multiple sites. In theory, this works, in practice
the challenge is the expert could be on site, could be traveling, and often in
order to retain the expert he must be able to contribute in a location of their
choice.
Companies are also looking to multiply the value from
these experts requiring they are not restricted to only contributing to their
local plant, or teams. As companies look to align and manage the end to end
value chain these experts could be in operations, planning, maintenance,
engineering, process, IT, control quality, etc., become critical assets.
The concept of significantly reducing the "time to
performance/ expertise" is key built on a number of foundational
approaches, all possible today:
1/ Knowledge systems that enable natural contribution with
knowledge management to gather value and maintain the value leveraging
technologies that harness "crowd sourcing", of the expert community.
2/Embedding of operational processes shifting to "intelligent
work" with context information for declines and recommended actions all
associated in the work item. Gathering these operational best practices from
the experts, at all levels in the company and embedding into the operational
system for consistent behavior to situations.
3/ Virtual expert communities that can be notified in
real-time, access status and information in consistent and trusted context.
Viewing the same information as the plant operational staff, but being able to
apply their own analysis, experience and expertise to share with the plant
operational workers for decisions. Key is the expert is working from where ever
he is, on what ever device, and can collaborate, share and contribute. The
expert could be in a company or a supply, but is part of the "virtual
trusted expert" community seeing only the information they need, to be
easily accessible to the plant user, and no effort to access.
So as a situation develops, a plant worker can focus on
that situation, and see all the real virtual experts for that situation who are
on line and their skill. They can chat, they can share, by dragging and
dropping, and they can talk, all in a couple of key strikes or gestures. This
collaboration must be natural, combined with core trust of the expert, and
system that the advice from the expert is relevant to the current situation. Also,
the ability to call on the knowledge system for like situations and draw
information easily.
Now the experts are contributing to multiple sites, and
situations without traveling and contributing to knowledge capture at the same
time. This whole concept is paradigm shift in knowledge and expertise, but is
the foundation for companies to be able accommodate this transitional
operational landscape.
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