Power Plant Performance Measurement & Optimization

Start Date End Date Venue Fees (US $)
18 Jan 2026 Amsterdam, Netherlands $ 4,950 Register
21 Jun 2026 Dubai, UAE $ 3,900 Register
11 Oct 2026 Houston, Taxes $ 4,950 Register

Power Plant Performance Measurement & Optimization

Introduction

Excellent Power Plant Performance Measurement skills are considered a core competency for 'Best-in-Class' modern industrial companies. If your company’s goals include minimizing downtime then this workshop is a must because it delivers rapid, efficient Troubleshooting.

The following aspects will be addressed:

  • Problem Solving Terminology
  • Numerous Tools and Techniques
  • A standard “Blue-Print” for problem analysis and resolution
  • Strategies; Planning; and Protocols
  • Variability Analysis
  • “Human Factor” analysis as a Source of Error

Objectives

    Participants attending the program will:

    • Understand how to become a 'Top Gun' Trouble-Shooter
    • Develop a structured approach to Troubleshooting and Problem Solving which uses common terminology and shared understanding
    • Point the way to Continuous Improvement in the way you run your processes and make incremental efficiency gains
    • Understand the difference between having techniques manual on the bookshelf – and actually making it work
    • Identify the "motivated" people who should be the champions of Troubleshooting and Problem Solving – and who should just follow
    • Understand work practices which "allow" success in Troubleshooting and Problem Solving

Training Methodology

This is an interactive course. There will be open question and answer sessions, regular group exercises and activities, videos, case studies, and presentations on best practice. Participants will have the opportunity to share with the facilitator and other participants on what works well and not so well for them, as well as work on issues from their own organizations. The online course is conducted online using MS-Teams/ClickMeeting.

Who Should Attend?

This program is directed at:

  • Supervisors who are involved in the Operations / Maintenance function
  • Employees who are responsible for leading and directing people to achieve and improve productivity levels
  • Planners and Coordinators
  • Engineers and Technologists
  • Those faced with the challenge of actually using the various techniques of Troubleshooting and Problem Solving to reduce downtime and waste and improve run efficiencies will benefit
  • It is of equal importance to Production, Maintenance Engineering, and Process Engineering personnel

Course Outline

Day 1: Introductory Concepts

  • The nature of problems

  • A Common Terminology

  • Context – Asset-based or Business Process-based

  • Structured approaches – 6 Big Losses, 7 Wastes

  • Techniques introduction

  • Tools introduction

  • A Six Level Performance Standard

  • Critical Relationships

Day 2: Tools & Techniques – Practical Experience

  • Decision Logic

  • Maturity Indexing

  • Relationships Analysis

  • Problem Analysis and Synthesis

  • Practical Use of Tools and Techniques

  • Case Studies

  • Project selection methods

  • Tools & Techniques – selecting the right one

Day 3: People Issues

  • Working practices – empowerment or impairment?

  • Group dynamics

  • Individual motivators

  • External vs. Internal Motivation

  • Developing Troubleshooting and Problem-Solving skills

  • Managing change

  • Transition Matrix

  • Fraction

Day 4: Operator, Maintainer, Designer Interface

  • Cross-functional working

  • Effect of Maintenance strategy

  • Functional Contribution analysis

  • Life Cycle Analysis, Design for Operation, Design for Maintenance

  • Variability Analysis

  • Strategies; Planning; and Protocols

  • Effect of improved “Fit” between critical parameters in Operations

  • Continuous Improvement

Day 5: Open Forum

  • Review of Concepts, Tools, and Techniques

  • Your Problems – Your Case Studies

  • Your Action Plan

  • Configuration Management

  • Commercial Programs

  • Application of “Standard Questions”

  • The Four critical stages of Data Maturity

Accreditation

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