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MTA is
a leading manufacturer of electrical and electronic components for the
automotive industry. Founded in Codogno, Italy, in 1954, MTA now has 5
branches abroad, a local production unit in Concordia sul Secchia,
Modena, a yearly turnover of around €90m and over 600 employees. |
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The
company handles product development, from design to production, and
offers the customer a highly reliable, flexible and competent service.
The company mainly makes electronic instrument panels, power
distribution boxes, electronic control units, armrests, fuses and
fuse-holders, terminals and connectors, battery terminals, level
sensors, and radiator and oil caps. |
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In
recent years it has become increasingly important to monitor the
behaviour of all the machines in order to take a snapshot of reality at
any moment abd establish what can be improved and how to increase
productivity in terms of technical and organisational measures. |
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The
data available for process analysis and optimisation were originally
based solely on hand-written reports in the management system of
quantities produced per shift and manual form compiling where, for each
shift, the operator had to record the time and duration of the main
stoppages. Only for some automatic assembly machines were there reports
created automatically by dedicated software, which obviously varied from
manufacturer to manufacturer in terms of structure and data recording
method, with no possibility of integration. |
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The
main problems associated with this situation were undoubtedly: |
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Controlling and improving overall production processes, however,
requires prompt, complete, reliable, and accurate information that is
not based on handwritten statements. So the aim of MTA’s top management
was to find an MES solution to get round all these problems. |
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“After
a careful scrutiny of a series of offers from various companies – says
Ezio Pagani, an engineer at MTA – we decided to opt for STAIN, as it was
the only company able to integrate industrial automation skills for
interfacing all types of machinery and MES skills and developing a
production, logistics and SPC information system. So, with support from
STAIN, we undertook an in-depth study of all aspects of MTA to enable us
to develop a solution to meet our specific requirements, in which data
from each machine could be relayed to the new SAP/R3 management system
that had been installed in the meantime.” |
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STAIN’s
MES solution provided the following advantages in terms of organisation
and technology: |
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All
in-house PCs can display in real time machine status, performance
and state of progress in production, the result being control of all
the machines, immediate visibility of what they are making and how
efficiently, and reduced times for responding to unexpected events.
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Machine statuses (stop, production, tooling), items produced, and
causes of rejects and stoppages are gathered automatically from the
various machines and production lines, without the operator having
to compile any manual reports.
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A
description of each significant production event and all its
characterizing attributes are recorded in databases for each
machine. Thanks to this high level of detail, the user can query the
system and obtain all kinds of summaries of productivity data (by
machine, date, job order, article, work sheet, production order,
shift, die and numerous other filters).
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Highly accurate analytical data and powerful modular standard
technology enable the various departments at MTA (top management,
production engineering, plant quality, industrialization and
maintenance) to analyse vast quantities of data very quickly. It is
also possible for the heads of department and operators to handle
the information very quickly and easily.
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The
advantages for the company of using all this new information available
following investment in STAIN technology are mainly linked to process
optimisation: |
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ENHANCED MACHINE EFFICIENCY and CONSTANT MAINTENANCE in both
technical and organisational terms.
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FEWER REJECTS thanks to accurate monitoring of the causes.
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OPTIMIZATION of preventive and predictive MAINTENANCE thanks to the
availability of accurate data, not overall averages.
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PRODUCT QUALITY CONTROL using electronic control plans for
article/customer, and automatic compiling of XR/XS charts with
automatically acquired field values based on the control plan.
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