On the process of maintenance decision-making in the offshore operational environment of the oil and gas industry
a systems approachBy Mario Marcondes Machado
Length4h 39m
About this audiobook
The overall objective of this research is to develop a decision support framework for preventive maintenance program implementations in the offshore operational environment of the oil and gas industry.
The author investigates the problems surrounding the maintenance decision-making process, which elements are systematically identified and categorized, including organizational aspects. The interface with operations is considered in order to promote integration between maintenance and production schedules.
The research subjacent objectives have been to identify, among major oil and gas offshore operators, the state-of-practices regarding the maintenance decision-making process and identify, in the literature, the main techniques used for maintenance decisions and optimization in order to propose alternatives for supporting future implementations.
Through a Systems Engineering approach, assisted by a literature review, interviews with experts (in Norway and in Brazil), an on-line survey and case studies, the results of this research complement a toolkit for maintenance engineers and managers aiming to facilitate information sharing and interdisciplinary cooperation in the operational environment.
Among the results: A concept map for the maintenance decision-making process ontology; A plan for PM program implementations; The suggested cross-sector solution: the minimum equipment list; A Markovian dependability nomogram; and A Markov decision model application.
Audiobook details
GenreScience and Nature
Length4 hrs 39 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJul 8, 2022
LanguageEnglish
Table of contents
1Introduction
334.1.2 FINDINGS FROM CASE I
21. INTRODUCTION
344.2 CASE II – A LEAN PRODUCTION APPROACH
31.1 PROBLEM BACKGROUND
354.2.1 DESCRIPTION OF CASE II
41.2 PROBLEM FORMULATION
364.2.2 FINDINGS FROM CASE II
52. RESEARCH PLAN
374.3 CASE III – AN ASSET MANAGEMENT DIAGNOSTIC: 4.3.1 FINDINGS FROM CASE III
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63. STATE-OF-THE-KNOWLEDGE
384.4 INTERVIEWS AND SURVEY
73.1 SYSTEMS ENGINEERING
394.4.1 ROLES AND RESPONSIBILITIES
83.1.1 THE SPADE METHODOLOGY
404.4.2 MATURITY OF THE CM&D RELATED PROCESSES
93.1.2 THE HEILMEIER’S CATECHISM
414.4.3 DECISION-MAKING AND LEARNING
103.1.3 MEASURES OF EFFECTIVENESS
424.4.4 KEY PERFORMANCE INDICATORS
113.1.4 STAKEHOLDERS’ ROLES, INTERESTS AND RESPONSIBILITIES
434.5 DIAGNOSTICS SUMMARY
123.1.5 OPERATION AND MAINTENANCE PROCESSES FROM A SE PERSPECTIVE
444.5.1 FACTORS AFFECTING PREVENTION
133.1.6 MAINTENANCE ENABLING SYSTEMS
454.5.2 FACTORS AGAINST DECISION ANALYSIS
143.2 DECISION ANALYSIS
464.5.3 FACTORS AGAINST MODELLING
153.2.1 THE INFLUENCE DIAGRAM
474.5.4 BARRIERS ENCOUNTERED AND RECOMMENDATIONS
163.2.2 THE DECISION TREE
485 MAIN RESULTS AND PROPOSALS
173.3 MAINTENANCE
495.1 A CONCEPT MAP FOR MAINTENANCE DECISIONS
183.3.1 MAINTENANCE AGENTS, THEIR ROLES AND RESPONSIBILITIES
505.2 A PLAN FOR PM PROGRAM IMPLEMENTATIONS
193.3.2 MAINTENANCE STRATEGY DEVELOPMENT
515.3 MINIMUM EQUIPMENT LIST: A POLICY AND PROCEDURES MANUAL
203.3.3 MAINTENANCE DECISIONS
525.4 A MARKOVIAN NOMOGRAM FOR SYSTEM DEPENDABILITY
213.3.4 RELIABILITY CENTERED MAINTENANCE
535.5 APPLYING THE MARKOV DECISION PROCESS
223.3.5 TOTAL PRODUCTIVE MAINTENANCE
545.5.1 MOTIVATION
233.3.6 CONDITION-BASED MAINTENANCE
555.5.2 PROBLEM STATEMENT
243.3.7 CONDITION MONITORING AND DIAGNOSTICS OF MACHINES: 3.3.7.1 DEGRADATION MODELS AND THE BATHTUB CURVE
565.5.3 THE MDP MODEL DEVELOPMENT
253.3.8 MAINTENANCE TRADE-OFFS AND OPTIMIZATION ASPECTS
575.5.3.1 TRANSITION PROBABILITIES
263.4 THE MARKOV ANALYSIS
585.5.3.2 DECISION RULES AND REWARDS
273.4.1 THE BASICS OF MARKOV CHAIN
595.5.4 APPLICATION RESULTS
283.4.2 THE MARKOV DECISION PROCESS
606. FINAL CONSIDERATIONS
293.4.3 MDP APPROACHES ON MAINTENANCE OPTIMIZATION
61APPENDIX A – LIST OF PUBLICATIONS
304. FIELD RESEARCH
62APPENDIX B – FIELD RESEARCH INSTRUMENTS
314.1 CASE I – A REMAINING USEFUL LIFE APPROACH
63APPENDIX C – A DEPENDABILITY NOMOGRAM
324.1.1 DESCRIPTION OF CASE I
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