Painting and surface treatment lines tend to age quickly due to heat and mist, and equipment failures could lead to lines being suspended. Daily and periodic equipment maintenance is an important work that affects product quality. However, in reality it is difficult to perform sufficient maintenance at production sites for various reasons.
Need to enhance maintainability
Parker Engineering contributes to the enhancement of maintainability by taking advantage of our long years of experience, through equipment design considering maintainability, proposals on work automation, and offering production management systems utilizing IoT.
Do you have any problems like the following?
- Anxiety about
setting maintenance items. - Taking measures
against aging proactively. - Improving
maintenance efficiency.
Five points of solutions
that only Parker Engineering can provide!
Utilization of abundant know-how
Setting Control Criteria
Preventive Maintenance of Equipment
(PARKER LEAPS)
For surface treatments that affect painting quality,
we can offer the highest quality
as the largest group in the surface treatment industry.
01.

Utilization of abundant know-how
Maintenance items and cycles must be set in detail after understanding the characteristics of the equipment.
We Parker Engineering have thought maintenance is part of our equipment quality. We will tell you the many know-how cultivated through the experience.
02.
Setting Control Criteria
We propose the optimal maintenance cycle by clarifying management standards through commissioning adjustment after completion of construction, which is important for the operation of equipment.

03.

Preventive Maintenance of Equipment(PARKER LEAPS)
The IoT system “PARKER LEAPS” provides an objective numerical view of maintenance that has been performed based on experience. In addition to filter cleaning and replacement cycles, preventive maintenance activities can be carried out from the detection of abnormalities (vibration, etc.) of fans and pumps.
Furthermore, in the future, AI analysis of operating data will enable maintenance activities by forcasting trends.