Decision Analysis and Continuous Improvement Methods for Upstream Technical and Project Professionals
Workshop Overview
This comprehensive training course examines techniques for decision analysis with emphasis on aligning personnel at the earliest possible to changes, making systematic prioritization in assessments & evaluations and the decision evaluation with trade-off analysis within design, construction, operation, Inspection & Maintenance and decommissioning related disciplines. Professionals within project and asset integrity management in general, as well as practicing personnel from mechanical, process, structural, chemical, etc., engineering disciplines will be benefited with acquiring knowledge for continuous improvement. Risk and reliability base prioritization and consequence classification for making optimized recourse allocation for operation, inspection, and maintenance activities will be discussed with practical applications. The course is also focused to minimize variability in assessment and control processes which is the most central human activity, intrinsic in our biology and done both consciously and unconsciously in an ad hoc manner causing suboptimal decision prioritizations. Use of artificial intelligence and machine learning techniques for minimizing variability in risk based asset integrity assessment and control as well as use of machine learning in risk screening will be explained with practical cases. The use analytic hierarchy process (AHP) will be explained, for assessing and documenting the priorities assessment and control process in various offshore/onshore applications. Setting priorities based on own industrial problems from the participants will be discussed with special emphasis on developing decision hierarchy and making pairwise comparisons by considering their benefits, costs, risks, and opportunities, and the resources need. In summary, this course focuses on continuous improvement (CI) with support of performance measurement (You can’t manage what you don’t measure‘) to increase profit margins under low unit cost by minimizing waste in physical (e.g. at plant level operations) and knowledge work (e.g. at assessments and recommendations at office work). The course will feature:
Breaking a problem down into its constituent parts or components, in the framework of a hierarchy
Establishing importance or priority to rank the alternatives is a comprehensive & general way to look at the problem in a formal manner
Application of multi criteria decision-making (MCDM) to practical problems
Introduction to different operational research & management science methods
Enhance decision-making with goals and criteria & show how to measure and rank them
This training course utilizes a variety of proven adult learning techniques (e.g. gamification) to ensure maximum understanding, comprehension and retention of the information presented. This includes hands-on, stimulating experience and using interactive user friendly decision analysis software. The training course is highly interactive with many discussion and facilitated practice sessions. Key points will be emphasized with case study examples. There will be a combination of presentation sessions and workshops during in this course.
Benefits of Attending this Workshop
By attending this course, you will be able to:
Minimize suboptimal prioritization after complex analysis
Improve productivity through use of better, timelier information and continuous improvement
Understand how world-class organizations solve common asset and asset integrity management problems
Optimize planning and scheduling resources, carry out optimized failure analyses
Optimize asset and asset integrity management budgets by avoidance of unplanned equipment failures in service
Develop a practical approach of an action plan to utilize within technologies effectively within different disciplines of responsibility
Who Should Attend
This training course is suitable to a wide range of technical professionals within mechanical, process, structural and chemical engineering disciplines. However, it will greatly benefit:
Operation and Maintenance Professionals in mechanical, process, structural and chemical engineering disciplines
Key Operations Supervisors in mechanical, process, structural and chemical engineering disciplines
Continuous Improvement Consultants in mechanical, process, structural and chemical engineering disciplines
Project Professionals in planning, risk and cost management disciplines
