PREVENTIVE & PREDICTIVE MAINTENANCE

PREVENTIVE & PREDICTIVE MAINTENANCE
Bandung | February 15-17, 2012 | IDR 7.250.000,-/ Person

Course Introduction

Current competitions on product price and product quality have introduced complex production systems, which are more efficient and effective. Health, environment and safety are also other pressure for such production systems. This jump of complexity of the production systems requires also a paradigm shift in the philosophy of maintenance, in order to achieve effective and efficient production systems, without increasing maintenance cost or downtime. The Preventive and Predictive Maintenance are the most common strategy to overcome this problem.

Preventive maintenance determines the priority of maintenance tasks based on the failure consequences of functional failure being analyzed and the applicability and the effectiveness of the maintenance tasks. Predictive maintenance is an advancement of inspection methods to monitor closely the condition of critical equipments to avoid expensive repair costs as well as a long downtime

This course elaborates the challenges in maintenance practices where safety and costs are the main issues. As a basis, five of the most important distribution functions in the reliability theory are discussed shortly. The concept of maintenance is explained after discussing some definitions with respect to failures and degradation types, as the core of the course. The process of Preventive maintenance task selection requires an identification of function, functional failure, failure modes and failure effects (FMEA), as well as an understanding on the specific characteristics of each maintenance task. A compilation of FMEA and task selection becomes the logic of preventive maintenance, normally called RCM (Reliability Centered Maintenance). This course discusses also some examples of application.

Predictive maintenance is a strategy to assess equipment condition and to predict the equipment’s life before functional failure. The most common method is the vibration analysis. Therefore this course focuses more on the vibration method. It consists of the basics of vibration, data acquisition, signals processing and fault diagnosis. Other predictive maintenance methods will be discussed shortly.

How You Can Benefit From This Course

• The key objective of this course is to describe a method in order to increase the availability of production equipments and reduce maintenance cost by implementing preventive and predictive maintenance.
• The second objective, but not less important, is to ensure that the safety effects of functional failures are not overlooked.
• Specific for maintenance engineers, this course will describe how to develop a cost-effective maintenance program by using RCM. It is also important for maintenance planners, supervisors and maintenance managers to understand the required information to develop a cost-effective maintenance program.
• Understand the theoretical background of maintenance concept and the logic of preventive maintenance (RCM).
• Able to set of vibration measurement tools and to analyse vibration signals.
• Understand the principles to measure vibration as well as other methods of predictive maintenance.

Who Should Attend

• Maintenance Managers/ Superintendent/ Engineers/ Planners/ Supervisors
• Project Engineers
• Process & Manufacturing Engineer
• Production Planners/ Engineer/ PPIC/ Operation Engineers
• Other professionals who want to have a better understanding and take advantage from the course.

Course Content

• The challenges in maintenance: safety and costs
• The five important distribution functions
• Function and functional failures
• Degradation models and the maintenance concept
• Failure Modes and Effect Analysis (FMEA)
• Failures consequences
• The four basic maintenance tasks
• The logic of preventive maintenance (RCM)
• Application examples
• Introduction to predictive maintenance
• Vibration basics
• Data acquisition
• Signal processing, applications and representations
• Machinery fault diagnosis using vibration analysis
• Other predictive maintenance methods

Course Leader :
DR. Ir. Edy Suwondo

DR. Ir. Edy Suwondo  is a lecturer at the Aerospace Engineering Department, Institute Technology of Bandung (ITB) and a member of the Aircraft Design, Operation and Maintenance Research Group, ITB. He has been working in the area of maintenance since 1992. His expertise is in Reliability Centered Maintenance, Reliability Control Program, Maintenance Planning and Life Cycle Costing. He has conducted various research in those area at GMF AeroAsia, Royal Dutch Airlines (KLM), Nusantara Turbine and Propulsion (PT NTP) and Indonesian Aerospace Company (IAe). He involves also in various projects in his research group. Mr. Edy Suwondo received his bachelor degree from the Aerospace Engineering ITB and his doctor degree from Aerospace Engineering, Delft University of Technology (TU Delft), The Netherlands. His doctor research was in the applications of Life Cycle Costing in maintenance area.

General Information

Certificate of Appreciation

All attendees will receive a certificate of appreciation attesting to their participant in the training. This certificate will be providing in exchange for a completed training questionnaire.

Documentation & Dress Code

• Quality training material kits will be on registration, additional papers, & handouts assignment by Our Partner.
• Note-taking by participants is encourage. However, to ensure free and open discussions, no formal records will be kept.
• Casual clothing is recommended. The training atmosphere is informal.

Facilities

• Quality training material (hardcopy and softcopy)
• Quality training kits included calculator, T-shirt or jacket, cap, ect.
• Exclusive flash disk.
• 2X coffee break 1X lunch
• Certificate of completion

Tuition Fee & Registration  Deadline

• IDR 6.950.000,-/ Person, (excluded tax 10% and accommodation)
• Discount 5% if register 2 (two) person from one company
• Discount 10% if register 3 (three) person or more from one company
• Registration and Payment deadline a weeks before training held.

Minimum Participant

This training will be conducted if we receive registration letter from 3 (three) participants (Minimum)

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