دورات تدريبية باللغة العربية

Course Overview

The Decision Analysis for Operations & Maintenance Professionals training course is designed to strengthen structured decision-making capabilities with a strong focus on prioritisation, optimisation, and risk-informed choices relevant to Operations, Maintenance, and Safety functions.
Decision-making is a core managerial and technical competency; however, it is often affected by cognitive biases, incomplete information, and time constraints. This course addresses these challenges by introducing proven decision analysis frameworks and practical “what-if” analysis techniques that enhance the quality, consistency, and transparency of operational decisions.
Participants will gain hands-on experience with intuitive and powerful decision-support tools and methodologies that enable data-driven decisions across asset management, reliability, maintenance planning, and safety management contexts.

Course Objectives

By attending this HighPoint Center (HPC) training course, participants will be able to:

  • Improve productivity through the use of accurate, timely, and relevant decision-support information
  • Understand how world-class organisations address and solve common asset management and reliability challenges
  • Optimise planning and scheduling resources and conduct structured failure and reliability analyses
  • Optimise asset management budgets by reducing unplanned equipment failures and service interruptions
  • Develop a practical, implementable action plan to apply decision analysis technologies within their areas of responsibility
  • Learn systematically from failures using decision analysis and root cause analysis techniques applied to major industrial incidents

Course Audience

This training course is suitable for a broad range of technical and managerial professionals, and is particularly beneficial for:

  • Operations, Maintenance, and Safety Professionals
  • Reliability and Asset Management Engineers
  • Maintenance and Operations Supervisors
  • Key Operations and Technical Team Leaders
  • Internal Improvement, Quality, and Continuous Improvement Consultants

Course Methodology

The course adopts a highly interactive and practice-oriented learning approach, combining:

  • Instructor-led presentations grounded in international best practices
  • Step-by-step explanations of decision analysis models and tools
  • Practical exercises using real-world operational scenarios
  • Case studies drawn from industrial operations and asset-intensive organisations
  • Group discussions and workshops to reinforce learning and encourage peer knowledge exchange

Course Outline

Day One: Foundations of Decision Making

  • Scope and significance of decisions in operational environments
  • The structured decision-making process
  • Best practice through learning from worst practice
  • Introduction to reliability concepts and Weibull analysis
  • Case studies and group exercises

Day Two: Multi-Criteria Decision Analysis Using AHP

  • Definition and purpose of decision analysis
  • How and why poor decisions are made
  • Guidelines for effective decision analysis
  • Analytic Hierarchy Process (AHP): concepts and applications
  • Benefit–cost analysis and resource allocation

Day Three: Risk Management and Reliability Analysis

  • Failure Mode and Effects Analysis (FMEA)
  • Fault Tree Analysis (FTA)
  • Risk Priority Number (RPN)
  • Criticality matrix development
  • Modelling reliability of series and parallel systems
  • Redundancy concepts

Day Four: MRP and ERP Systems

  • Overview of ERP systems and their evolution
  • Fundamentals of Material Requirements Planning (MRP)
  • Bill of Materials (BOM)
  • Master Production Schedule (MPS)
  • Practical examples, case studies, and group exercises

Day Five: Decision Analysis for Maintenance Optimisation

  • Maximising value from Computerised Maintenance Management Systems (CMMS)
  • Benefits and performance improvements enabled by CMMS
  • Optimised decision-making for maintenance policies
  • Key features of next-generation maintenance systems
  • Transforming data into actionable decisions
  • Practical approaches and applied case studies

Certificates

A HighPoint Center (HPC) Certificate of Attendance will be awarded to delegates who attend and successfully complete the training course.

Riyadh - Saudi Arabia
27-31 Dec 2026
$4500

Training Schedule and Fees

Istanbul - Turkey
27 Apr-01 May 2026
$4500
Istanbul - Turkey
13-17 Jul 2026
$4500
Abu Dhabi - UAE
20-24 Jul 2026
$4500
Dubai - UAE
17-21 Aug 2026
$4500
Cairo - Egypt
30 Aug-03 Sep 2026
$3950
Abu Dhabi - UAE
31 Aug-04 Sep 2026
$4500
Kuala Lumpur - Malaysia
21-25 Sep 2026
$4500
Kuala Lumpur - Malaysia
02-06 Nov 2026
$4500
Amsterdam - Netherlands
21-25 Dec 2026
$5950
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