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TPM is supported
very strongly in the learning process inside the factories. Each
one of these important operations counts with mechanisms to
preserve knowledge and learning. Basic TPM stages are supported
in conservation and registration of acquired experiences by
workers during cleaning and preservation of the equipments.
Every reparation and inspection of the equipment is a process of
knowledge creation. However, it is frequent in industrial
companies to watch that this knowledge is lost because the
information is not saved. In other enterprises “data” exists
but it doesn’t generate information because it is not
interpreted. If there is no information, it won’t exist the
possibility of knowledge creation.
TPM requires
designing a plan of training and knowledge obtaining. TPM gives
a methodology to learn from damages and faults analysis.
Lections of ever event are kept and transferred to the other
factory members so it does not repeat in the future, this is one
of the mechanisms of a right planned maintenance. Some of the
ways used by TPM for keeping and creating Knowledge are:
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Learning
through faults analysis and solution. Learning begins with
individuals who have power to identify and solve problems
independently because they have a clear sense of the
factory’s objectives.
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Sharing
knowledge through One Point Lesson. This kind of operations
is used to collect knowledge generated in the enterprise in
every daily activity. It is about each employee “has
something to teach”. JIPM offers a methodology very well
developed about the way of building these lessons,
strategies of each TPM pillar use and ways for employees to
participate actively in its execution.
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Intensive
Training. Training, people development and application of
acquired knowledge are main bases for organizational
transformation process. There are many possibilities to
develop training models inside TPM.
Some of the
possibilities to learn a TPM process are:
USING KNOWLEDGE IN
MAINTENANCE
Knowledge in
maintenance must be the next bound or challenge of bosses and
managers in enterprises. Because the technological advance of
equipment, enterprises require a higher level of their technical
and managerial staff.
Knowledge
emptiness that exists in maintenance function because:
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There is no a
strong culture of writing and keeping knowledge
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It hasn’t be
appreciated that a fault could be a source of knowledge and
this experience should be capitalized by registering the
causes, phenomenon and taken actions.
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Information is
not used to get knowledge. Statistics are not understood as
diagnosis tools. The experience and technical ability
prevail.
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Company’s
Management doesn’t care or stimulate data work.
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Reliability
and maintainability techniques could have some grade of
difficulty to professional maintenance with low practice of
industrial statistics.
These problems
must be solved by people in charge of maintenance and in the
most of the cases it’s required an awareness action about the
need of working with data, besides of its importance. It is
suggested incorporate training actions orientated to improve
maintenance technician’s knowledge about industrial statistics
inside of the training program. It is possible that it wasn’t
required deep mathematical knowledge, because boring counts
could be done with special programs. Which is important is
practicing the concepts and making decisions founded in existent
data knowledge. |