Advanced Roads Engineering, Maintenance and Asset Management
Place: Dubai
June 11 - June 15\ 2023
Introduction
The Advanced Maintenance Engineering and Asset Management course provides the knowledge and skills necessary to design advanced maintenance, monitoring and asset management strategies for complex engineering systems through the lifecycle
This course is delivered through a balanced combination of lectures and practical sessions. All delegates will receive a Certificate of Attendance upon completion of this course.
Objectives
Participants attending the training seminar will:
Þ Identify and recognise the asset management best practices and advanced maintenance strategies for engineering systems in different industries,
Þ Analyse key and fundamental aspects of system’s life-cycle and understand the financial implications involved with assessing the maintenance and risk factors,
Þ Differentiate between classical maintenance strategies (run-to-failure, time-based) and novel maintenance strategies (e.g. risk/reliability centred maintenance, predictive and diagnostic maintenance, predictive maintenance) and evaluate their main advantages and limitations,
Þ Determine the concept and utilise applications of Monte-Carlo Simulation (MSC), Bayesian Network (BN) in system reliability and availability assessment,
Þ Evaluate the capabilities and limitations of robotic and autonomous maintenance systems, and outline the future trends and impacts on the maintenance strategy,
Þ Design an appropriate maintenance strategy for complex engineering systems, detailing how the strategy is embedded throughout the asset life-cycle.
Who Should Attend?
Þ The course will benefit mechanical, structural, pipeline, industrial engineers and technicians who are or plan to be involved in reliability engineering and risk management of industrial assets.
Course Methodology
The course uses self-assessments and a wide mix of business cases that promote healthy discussions around the importance of managing multiple tasks, deadlines and priorities. Participants will benefit from role plays covering workplace challenges related to handling tasks, deadlines and priorities. They will learn how to deal with conflicts that may arise as a result. Interactive team exercises are also used with each team presenting their findings and comments.
Each module covers different aspects of using Game-Based Learning and Gamification in education. Coursework will incorporate your existing knowledge and experience and provide helpful learning environment with a good mix of theoretical and practical knowledge. On all outlines will apply Skills for Game-Based Learning and Gamification and practiced in hands-on, collaborative way within an international group setting.
This interactive training course includes the following training methodologies as a percentage of the total tuition hours:
- 30% Lectures, Concepts, Role Play
- 30% Workshops & Work Presentations, Techniques
- 20% Based on Case Studies & Practical Exercises
- 20% Videos, Software & General Discussions
Pre and Post Test
Outline
DAY 1:
Introduction: Asset management, overall equipment effectiveness (OEE), asset productivity,
Þ Asset integrity: Asset integrity management (AIM), Risk-based integrity, through-life engineering,
Þ Maintenance engineering: Maintenance regimes, reactive vs. proactive maintenance; Age and block maintenance, reliability-centred maintenance (RCM), risk-based maintenance (RBM), total productive maintenance (TPM), world-class maintenance (WCMain),
DAY 2:
Fault diagnosis and prognosis: Fault detection and failure location; root-cause analysis (RCA), Common-cause analysis (CCA), Condition-based maintenance (CBM), predictive maintenance (PdM), prognostics,
Þ Maintenance modelling, planning, scheduling, and optimization,
Þ Reliability data analysis: types and sources of reliability data, data collection, data cleansing, data accuracy and precision, model fitting, big-data, incomplete data, redundant data, not-detailed data,
DAY 3 :
Applications of Monte-Carlo Simulation (MCS) and Bayesian Network (BN) in system reliability and availability assessment,
Þ Probability of failure, Cost of failure, and risk of failure in networked infrastructures,
Þ System’s life-cycle: Life-cycle cost (LCC) analysis, whole-life costing, how to identify cost drivers of system operation,
DAY 4 :
Robotic and autonomous maintenance; overview of the capabilities and limitations of commercially available aerial and underwater remote and autonomous systems, and how these systems are integrated in the overall maintenance strategy,
Þ Reliability of condition monitoring technologies and sensors, Probability of Detection (POD) and Probability of Sizing (POS),
DAY 5 :
Decommissioning vs. life extension,
Þ Warranty and service contracts analysis: guarantees, warranties, extended warranties, service contracts, and maintenance outsourcing with several examples from different industries,
Þ Workshops and case studies: Work in groups to analyse the reliability, availability and maintainability of various offshore systems and components.
Fees:
The Fee for the seminar, including instruction materials, documentation, lunch, coffee/tea breaks & snack is: 3.750USD$
Schedule:
08:30 – 10:15 First Session
10:15 – 10:30 Coffee Break
10:30 – 12:15 Second Session
12:15 – 12:30 Coffee Break
12:30 – 14:00 Third Session