December 4, 2022 | Author: Anonymous | Category: N/A
Download Worldclass Preventative & Predictive Maintenance: ND RD...
Worldclass Preventave & Predicve Maintenance with Prof. Len Gelman
nd
rd
22 - 23
REGISTER 3
JULY
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FREE
JAKARTA JAKART A | INDONESI IND ONESIA A
www.aydangroup.com.my
Created by:
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@aydangroup
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program overview
Tired of facing endangered deadlines, decreased efficiency, increased operaon cost due to scarce maintenance pracces?! Having the right Prevenve and Predicve Maintenance (PPM) system in place to tackle sudden breakdowns of equipment and machinery is crucial to eliminate the menoned drawbacks. We understand understand that this is at mes easier said than done, and that implemenng implemenng such maintenance maintenan ce system can be a tricky business. This is why we have designed a course that offers a step-by-step guide on PPM installaon, current performance assessment all the way to implemenng advanced maintenance and enhancing the overall producvity of your plant and machinery. Implemenng an effecve and efficient Prevenve and Predicve Maintenance system for various technologies is a challenge many managers face. This program introduces parcipants to various technologies and shads light on ps, tricks and best methods used for differdifferent technologies, whether operang factories, plants, building or fleets you will be able to grasp the core of effecvely protecng your assets.
www.aydangroup.com.my
who is this program for
This course is designed for maintenance supervisors, supervisors, managers, PM leads, CMMS managers, planners, engineers and people who are training for these posions. PM techs can also benefit from this training. We also welcome representaves from operaons (Parcularly producon control): Aerospace & Aviaon - Cement & Ferlizers - Facilies &T ranspiraons - Mining & Minerals Ulies - Power Generaon, Transmiss Transmission ion & Distribuo Distribuon n - Automove & Manufacturi Manufacturing ng Chemicals & Pharmaceucals - Food & Beverage - Petrochemical, Oil & Gas
Benefits of aending this event: - Reducing waste in PM acvies acvi es - What changes to make ma ke to improve reliabili reliability ty - How to gain producvity through small changes in thinking - How to plan and schedule PM tasks - Developing task lists li sts for different equipment - How things fail and their impact on PM - Characteriscs of the best PM inspectors - How can we adopt Planned Component Replacement? What are the basics of predicve maintenance? - Using the P-F curve to choose inspecon frequencies - Develop, implement and supervise the prevenve and predicve maintenance program - Economize money and company’s resources by using sophiscated technique and method in order to opmize the affecvity of maintenance - Prevent the company’s equipment and tools from damage and make the machine’s living period longer - Decrease the down me
www.aydangroup.com.my
program curriculum
Session 1: Introducon Definions of Maintenance - Build Systemac Maintenance Taccs for Your Organizaon Prevenve (Time Based) Maintenance - Predicve (Condion (Condion Based) Maintenance Maintena nce - New Generaon Proacve Maintenan Maintenance ce - Maintenance by Redundancy - Reacve (Run to Failure) Maintenance - Opportunity Maintenance - Opportunisc Maintenanc Maintenance e Session 2: Creave Disassembly for Shutdown Maintenance
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Precision Maintenance - Predicve and
Prevenve Maintenance: the Main Concepts and Seven Basic Quesons - Idenfying Major Costs of Predicve and Prevenve Maintenance The Key People in Predicve and Prevenve Maintenance: a Planner, Maintenance Supervisor, Storeroom Personnel, an Operaons Super-intendant Operator The Key Maintenance Metrics for Predicve and Prevenve Maintenance: Reliability, Mean Time Between Failure, Mean Time to Failure, the Instantaneous Instantan eous Failure Rate, Equipment Availability and maintainability, Mean Time to Repair Praccal Exercises on Reliability for Predicve and Prevenve Maintenance - Predicve and Prevenve Maintenance: Outsourcing Ou tsourcing vs. In-House; What Works Best for Your Your Organizaon? Organizao n? - Spare Part Management and Outsourcing - Operaons vs. Maintenance: Aligning Operaonal Requirements with Maintenance Capabilies - Life Cycle Cost Analysis for Predicve and Prevenve Maintenance - Life Cycle Cost Analysis for Predicve and Prevenve Maintenance: Industrial Case Study - The Main Maintenance Key Performance Indicators, including for - Predicve and Prevenve Maintenance
Session 3: Predicve and Prevenve Maintenance: Seven Stages Process - Asset Funcons: Primary and Secondary - Asset Failure: Potenal and Funconal - The P-F Interval, the Net P-F Interval and Mulple P-F Intervals for Predicve Maintenance Esmaon of Opmum Maintenance Interval for Predicve Maintenance Esmaon of Opmum Maintenance Interval for Predicve Maintenance: Industrial Case Studies - The Operang Context of Assets - The Operang Context: Industrial Case Studies - Asset Failure Modes - Asset Hidden and Evident Failures - Asset Failure Consequences - Asset Failure Effects
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program curriculum Session 4: Hidden Consequence Consequencess - Safety and Environmental Consequences Consequen ces - Operaonal Consequences - Non-Operaonal Consequences - Root Causes of Asset Failures; an Approach of Six Root Causes for Predicve Maintenance - Root Causes of Asset Failure for Predicve Maintenance: 17 industrial - Case Studies (outlines are on s separate sheet below) - 9 Classical Steps of Failure Assessment for Predicve and Prevenve Maintenance - Failure Assessment for Predicve and Prevenve Maintenance - Industrial - Case Studies Session 5: Six Paerns of the Instantaneous Asset Failure Rate: Tradional View, Bathtub, Slow Aging, Best New, Random Failure and Worst New - Relaonship Between the Failure Rate Paerns and Maintenance Taccs - Failure Management for Maintenance: Predicve and Prevenve Maintenance Tasks and default Maintenance Acons - Predicve and Prevenve Maintenance Tasks: On-Condion Tasks - Restoraon Tasks - Discard Tasks - Default Maintenance Acons: Failure-Finding Acons - Redesign - Run-to-Failure - Determining When to Predict/Prevent Failure and When to Allow Failure to Occur; Opmal Selecon of Maintenance Tacc - Logic Diagram for Opmal Selecon of Maintenance Tacc - Failure Mode and Effect Analysis (FMEA) for Predicve and Prevenve Maintenance - FMEA: Ranking Criteria and Industrial Case Studies - FMEA: Praccal Session - Failure Mode, Effect and Cricality Analysis (FMECA) for Predicve and Prevenve Maintenance - FMECA: an Industrial Case Study Session 6: Equipment Troubleshoong and Condion Monitoring for Predicve Maintenance - Fault Tree Tree Analysis for troubleshoong troublesho ong - Vibraon Condion Monitoring for Predicve Maintenance: basics and Main Technologies - Condion Monitoring by Acousc Emission for Predicve Maintenance: Basics and Main Technologies - Condion Monitoring by wear Debris for Predicve Maintenance Basics and Main Techniques Condion Monitoring by Infrared Thermography for Predicve Maintenance: Basics and Main Techniques - Condion Monitoring for Predicve Maintenance: Maintenanc e: 9Industrial Case Studies (including 44 video presentaons) - Assessment of Condion Monitoring vendor for Predicve Maintenance - New Internaonal Standard for Predicve Maintenance - Asset design for Beer Predicve Maintenance
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program curriculum Session 7: Advanced Soware for Predicve and Prevenve Maintenance - Soware Capabilies Equipment Selecon Based on Selecon Quesons and Cricality Factors - Failure effect Categorizaon Categorizao n - Selecon of Maintenance tacc - Esmaon of Opmum Interval for Prevenve and Predicve Maintenance - Maintenance Task Packaging - Management of Correcve Maintenance Acons - Creaon of Reports and Graphical Charts) - Computerized Maintenance Management System (CMMS) for Predicve and Prevenve Maintenance; System Capabilies Session 8: Management of Unplanned Works - Esmaon of Planned versus Unplanned Works - Work Order Generator and Issue - Management of Maintenance personnel Database - Gauge Calibraon Management for Predicve Maintenance - Management of Condion Monitoring Data for Predicve Maintenan Maintenance ce - Creaon of Stascal and Reports - Esmaon of the Main Maintenance KPIs - New Generaon Soware for Maintenance: enterprise Resource Planning - Enterprise resource Planning Soware: the Main Trends - Predicve and Prevenve Maintenance for shutdowns: Pre-Shutdown, shutdown and Post-shutdown Stages - Prevenve Maintenance for Overhauls: Time Between Overhauls, Service Limit Overhauls and New Limit Overhauls - Management of Maintenance Backlog Backlo g for Predicve and Prevenve Prevenve Maintenance - Predicve and Prevenve Maintenance : Industrial Case Studies - Implementaon of Predicve and Prevenve Maintenance: Teamwork and Facilitator - Human Errors in Predicve and Prevenve Maintenance; Reducon of Human Errors - Applying Predicve and Prevenve Maintenance and What Maintenance Achieves - Review: Learning Outcomes Closing Comments
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program curriculum Workshop of Failure Mode and Effect Analysis (FMEA) - Workshop to undertake a FMEA of a specific machine/equipment: Review design and operaon of chosen machine/equipment - Review failure history and failure modes - Review root causes of failure modes; esmate root cause occurrences - Review failure consequences; esmate severies of consequences - Review detecon/ diagnosis capabilies - Esmate the risk priority numbers - Assign opmized maintenance task/frequencies Root Causes of Asset Failure for Predicve Maintenance: 17 Industrial Case Studies: Maintenance of two stage vercal pump - Maintenance of a vacuum exhauster - Maintenance of an engine turbocharger - Maintenance of a steam turbine - Maintenance of a primary air fan - Maintenance of two large fans
www.aydangroup.com.my
meet the trainer Prof.. Len Gelman Prof Gelm an Prof. Len Gelman (UK) holds Ph.D. and Dr. of Sciences (habilitaon) degrees. He has trained and consulted the industry across the world. He is the author of over 200 publicaons (including 17 patents, 2 books, and 2 book chapters) chapte rs) in the areas of maintenan maintenance, ce, condion monitormonito ring of complex mechanical systems and root cause analysis. Prof. Gelman has over 35 years of real-life industrial experience in maintenance. He has developed and delivered training programs worldwide for both offshore and onshore facilies, including maintenance planning and scheduling, machinery failure analysis and prevenon, reliability centered maintenance, condion monitoring of machinery, risk assessment for producon and operaons and problem solving and decision making. Prof. Gelman is a Fellow of the Brish Instute of Non-Destrucve Tesng Tesng (BINDT) and UK Instuon Instu on of Diagnosc Engineers, Engine ers, Chairman Chairma n of the Condion Monitoring and Diagnosc Technology Technical Commiee of the BINDT, President-Elect of the Internaonal Instute of Acouscs and Vibraon, Honorary Editor of the Internaonal Journal Journal of Condion Monitoring and Chairman of the Internaonal Society for Condion Monitoring. He was Editor-in-Chief Editor-in-Chief of the book series “Condion monitoring”; He is Chair of the 2007 World Congress on Engineering Asset Management, Honorary Co-Chair of 2007, 2008, 2009, 2010, 2011, 2012 and 2013 and 2014 20 14 World World Congresses Congresses of EngineerEngineering and Chair of the 2008, 2009, 2010, 2011, 2012 and 2013, and 2014 Internaonal Condion Monitoring Conferences. Prof. Gelman is a Chief Designer of numerous technologies and engineering prototypes for vibraon fault detecon/diagnosis/isolaon. Some of Len's client's include: • DIALOG MALAYSIA • ROLLS-ROYCE • BOEING • INDORAMA • SHELL • QATAR PETROLEUM • SKF • ERIKS • DRESSER-RAND • CATERPILLAR • ORYX • ARAMCO • ENGEN PETROLEUM • QATAR GAS • PETRONAS • PRASARANA • FIRST SOLLAR • NESTLE SINGAPORE • NESTLE MALAYSIA • WESTPORTS MALAYSIA • KAREX INDUSTRIAL SDN BHD • PTP MALAYSIA • AA SDN BHD MALAYSIA • CIMA MALAYSIA
www.aydangroup.com.my
what others say about us “It is good for me to get knowledge of prevenve and predicve maintenance. This will help me very much as well our company. The main strength of this program is development of prevenve and predicve strategy. Mr. Len is very knowledgeable trainer. trai ner. I feel very good and happy. Thank you Aydan Group Plt. Plt.”” – Ngere Thein, Maintenance Execuve Officer, Premier Coffee Myanmar “This training is very informave and could be beneficial for my career develop- ment. The main strength is on the trainer. He is well experienced and a very knowledgeable. His experse is very useful for training like this. Aydan Group is very supporve and choose a great training.” – Carol Caroline, Technical Assistant, KPOC Malaysia “It is a very good training for me as I am a maintenance planner. This will help me to improve my planning in future. Mr. Len is just excellent trainer. He helped me to make an planning in good way. Great organized training by Aydan Group Plt.” – Jegan, Maintenance Planner, Coca-Cola Bole Malaysia Sdn Bhd “Great training overall. Good trainer and great interacon and arculaon. The main strength of the training is different methods of PM and RCA explained. Well done Aydan Group Plt.” – Kevin Jok, X-Fab Sarawak Sdn Bhd “Very good training. trainin g. Main strength of training is simplified si mplified and clear underunde r- standing of definion on prevenve and predicve maintenance. Good job Aydan Group Plt”. – Loy Ching Hou, Maintenance Manager, Kossan Latex Industries (M) Sdn Bhd
www.aydangroup.com.my
Please complete this form and fax or email back to:
EARLY BIRD
(USD 1,895)
TOPICS
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Date and Location:
01-Jun-19
SPECIAL DISCOUNT
NORMAL PRICE
(USD 1,995)
(USD 2,395)
Until:
30-Jun-19
From: 01-Jul-19
22nd & 23rd of July 2019 in Jakarta, Indonesia
Worldclass preventative & Predictive Maintenance * Enjoy the discount stated above by making full payment before the given deadline. ** Register 3 delegates and the 4th and 5th for FREE , inhouse COMPLIMENTARY. *** Fees inclusive of refreshments, luncheons, course documentation.
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COPYRIGHT- All intellectual property rights in all materials produced or distributed by AydanGroup in connection with this event is expressly reserved and any unauthorized duplication, publication or distribution is prohibited. DISCLAIMER - Please note that trainers and topics were confirmedat the time of publishing; however, AydanGroup may necessitate substitutions, alterations or cancellations of the trainers or topics. As such, AydanGroup reserves the right to change or cancel any part of its published programme without penalty due to unforeseen circumstances. Any substitutions or alterations will be updated on the website as soon as possible. DATA POLICY - The information t he Client provides will be safeguarded by AydanGroup which may be used to keep the Client informed of relevant products and services through l etter, phone, fax, email or other electronic means AydanGroup will not share thisinformation with other parties unless expressly stated. Tax Note - The investment fee does not include any taxes (withholding or otherwise). In case of any taxes applicable the client has to ensure that the taxes are paid on top of the investment fee paid for the course. Compliance with the local tax laws is the responsibility of the client. CANCELLATION & SUBSTITUTIONS - A substitute delegate is always welcome at no additional charge. All bookings carry a 50% liability immediately after a fully completed sales contract has been received. All fees are inclusive of a 15% administration and service charge, which iscompletely non-refundable and non-creditable. For cancellations received in writing more than seven (7)days prior to the training course you will receive a credit to be used at another AydanGroup training course for up to one year from the date of issuance. For cancellations received seven (7) days or less prior to an event (including day 7), no credits will be issued, however the delegate will still be entitled toa complete set of course documentation. In the event that AydanGroup cancels or postpones an event due to circumstances beyond its control, delegate payments at the date of cancellation or postponement will be credited to a future orrescheduled AydanGroup event. This credit will be available for up to twelve months from the date of issuance. Should for any reason outside the control of AydanGroup, the venue, speakers or dates change, or the event be cancelled due to an act of terrorism, fortuitous events, extreme weather conditions,industrial action, or any reason beyond management control, AydanGroup shall endeavour to reschedule but the client hereby indemnifies and holds AydanGroup harmless from and against any and all costs including airfare, hotel and other costs,damages and expenses, including attorney fees, which are incurred by the client as a result of substitution, alteration, postponement or cancellation. The construction, validity andperformance of this Agreement shall be governed in all respects by the laws of Malaysia to the exclusive jurisdiction of whose Courts the Parties herebyagree.
