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Data Analysis on Drainage Operation and Maintenance Course

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    الثلاثاء، 21 أيار 2024
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    الثلاثاء، 21 أيار 2024
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    Engineering - Oil & Gas

September 08- September 12\ 2024 : Kuwait

Introduction

This course examines techniques for data analysis with emphasis on prioritization and the Decision making process to be carried out by Operation & Maintenance Professionals. This course will focus on data analysis in the sewage system.

Data analysis is not just a question of selecting the best alternative. Often one needs to prioritise all the alternatives for resource allocation among a portfolio of option, or to examine the effect of changes introduced to initial judgments. We need to set priorities on these solutions according to their effectiveness by considering their benefits, costs, risks, and opportunities, and the resources they need.

This course will feature:

Þ Breaking a problem in the sewage system down into its constituent parts or components, in the framework of a hierarchy

Þ Establishing importance or priority in the sewage system to rank the alternatives is a comprehensive & general way to look at the problem in a formal manner

Þ Application of multi criteria data analysis to practical problems in the sewage system

Þ Introduction to different operational research & management science methods

Þ Enhance data analysis with goals and criteria & show how to measure and rank them

 

Objectives 

Participants attending the training seminar will:

Þ Improve productivity in sewage system through data analysis use of better, timelier information

Þ Understand how world-class organizations solve common asset management problems

Þ Optimize planning and scheduling resources, carry out optimised failure analyses

Þ Optimise asset management budgets by avoidance of unplanned equipment

Þ failures in service

Þ Develop a practical approach of an action plan to utilize these technologies in their own areas of responsibility

 

Who Should Attend?

Ü Operation Professionals

Ü Maintenance Professionals

Ü Reliability Professionals

Ü Key Operations Supervisors

Ü Internal Improvement Consultants

 

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 to data analysis

Þ Scope and significance of data analysis

Þ The data analysis  process

Þ The concept of best practice through learning from worst practice

Þ Introduction to reliability

Þ Case Studies ( Singapore turns sewage into ulta -clean water )

Þ Group Exercises

 

DAY 2 :

Implementing Multiple Criteria data analysis

Þ Analysis using the Analytic Hierarchy

( Kuala Lumpur drainage system )

Þ Process (AHP)

Þ Definition of data analysis

Þ How, and Why, Bad data analysis are Made

Þ Guidelines for Good data Analysis

Þ What is AHP?

Þ Benefit/Cost Analysis

Þ Resources Allocation

Þ  Case Studies  ( Kuala Lumpur drainage system )

 

DAY 3

Þ Risk Management in drainage system through Failure Mode & Effect Analysis (FMEA)

Þ Fault Tree Analysis

Þ Risk Priority Number

Þ The Criticality Matrix

Þ Modelling Reliability of Systems

Þ Series and Parallel Systems

Þ The Redundancy Concept

 

DAY 4 :

MRP and ERP Systems

What is ERP and how did it develop

What is MRP System

The Bill of Materials

Master Production Schedule

Practical Examples

Case Studies ( Kuala Lumpur drainage system )

Group Exercises

 

DAY 5 :

Data Analysis for Optimization of Maintenance Activities

Þ How to get the most of your CMMS?

Þ Benefits that can result from CMMS

Þ Optimum Data Analysis for Maintenance Policies

Þ Key Features of Next Generation Maintenance Systems How to transform Data Analysis to Decisions

Þ Examples of Approaches and Case Studies

 

 Fees:

The Fee for the seminar, including instruction materials, documentation, lunch, coffee/tea breaks & snack is:

 4,250 USD$

 

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

 

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