Decision Analysis for Operation and Maintenance Professionals

Course CodeMI00001

Available Dates & Locations

This course is available in multiple locations and online. Choose the most suitable date and delivery method.

London

Dates

London

Venue / Hotel

82 - 83 Eccleston Square, Pimlico, London SW1V 1PS, UK

Duration
2 Weeks
Price
€10,300
Cairo

Dates

Cairo

Venue / Hotel

22 El Messaha Sq.، Ad Doqi, Giza, Giza Governorate, Egypt

Duration
2 Weeks
Price
€6,300
Trabzon

Dates

Trabzon

Venue / Hotel

-

Duration
2 Weeks
Price
€10,300
Dubai

Dates

Dubai

Venue / Hotel

Sheikh Zayed Rd Near Financial Metro Station - Dubai - United Arab Emirates

Hotel Website
Duration
2 Weeks
Price
€8,470

Course Overview

This program examines lean thinking and techniques for decision analysis with emphasize on the lean approach and responsiveness to the customer requirements. Decision-making is the most central human activity, intrinsic in our biology, and done both consciously and unconsciously. We need it to survive. Taking a decision is not just a question of selecting the best alternative. Often one needs to prioritize all the alternatives for resource allocation among a portfolio of option or to examine the effect of changes introduced to initial judgments.

Breaking a problem down into its constituent parts or components, in the framework of a hierarchy, and establishing importance or priority to rank the alternatives is a comprehensive and general way to look at the problem in a formal manner. This kind of concern has been loosely called multi-criteria decision-making (MCDM). In operational research and management science today, decision-making is essentially thought of in the focused area of research concerned with goals and criteria and how to measure and rank them.

In our complex world, there are usually many solutions proposed for each problem. Each of them would entail certain outcomes that are more or less desirable, more or less certain, in the short or long term, and would require different amounts and kinds of resources. 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.

Course Objectives

  • Improve productivity through use of better, timelier information.
  • Understand how world-class organizations solve common asset management problems.
  • Optimize planning and scheduling resources.
  • Carry out optimized failure analyses.
  • Optimize asset management budgets by the avoidance of unplanned equipment failures in service.
  • Develop a practical approach of an action plan to utilize these technologies in their own areas of responsibility, fitting them into the overall strategy, and measuring benefits.

Benefits

  • Accomplish strategic change in the organization in a more productive manner
  • Build and maintain effective and efficient procedures in the organization
  • Complete work tasks on time and on budget
  • Develop skills in managers which will raise the capability, skill and morale of colleagues
  • Improved operating performance in completion of assignments
  • Acquire useful work task management skills
  • Develop skills in problem-solving and decision making
  • Develop interpretation skills of analytics to support decision making
  • Gives you a proper knowledge of the basic principles of operations management
  • Helps you in planning and developing a future career
  • Identify the Key Performance Indicators within your management area
  • Know how to compare alternatives to support decision making
  • Learn how to apply best practices
  • Learn from the experience of other delegates and the trainer
  • Learn management techniques to plan, establish priorities and set and maintain deadlines

Course Outline

  • Scope and significance of Decisions
  • The Decision Making Process
  • Choosing Between Options by Projecting Likely Outcomes
  • Decision Tree Analysis: decision models; low probability, high-consequence events; valuing additional information and control
  • Monte Carlo Simulation: optimization; advantages and limitations
  • Case Studies and Group Exercises