Governance
The Asset Management Plan: Managing Every Asset Class with Certainty
What a genuinely useable Asset Management Plan covers for one asset class, from value and cost decisions through to delivery, data, people and risk.
Resources
Clear, practical guidance on the foundations of good asset management, written by the Shivaan Asset Management team from real engagements across the heavy asset industry. No theory for its own sake, just the thinking that holds up on site.
Resource articles
- Governance
The Strategic Asset Management Plan: Building Line of Sight from Organisational Objectives to Asset Decisions
How a strategic asset management plan (SAMP) translates organisational objectives into asset management objectives, what it must contain, and how to build one.
- Governance
Asset Management Policy: The Governance Cornerstone Every Asset-Intensive Organisation Needs
A practical guide to writing an asset management policy: what it must contain, how to build one, how to adapt it by industry, and where it belongs in the business.
- Fundamentals
What Is an Asset Management System?
An asset management system governs physical assets from planning to disposal. Learn what ISO 55000 and ISO 55001 require, how the discipline is structured, and what it means in practice.
- Standards
ISO 55001:2024: What Changed, What Works, What Is Missing
ISO 55001:2024 revised the international standard for asset management systems after a decade of global implementation experience. Understand what changed from the 2014 version, what works, where the gaps remain, and the transition roadmap to the July 2027 certification deadline.
- Asset data
Functional Location Hierarchies: A Foundation for Operational and Data Excellence
How a structured functional location hierarchy gives heavy asset operations reliable reporting, cleaner data and a foundation for cross-site benchmarking.
- Asset data
Asset Classification: Asset Class, Types and Variations
A practical guide to asset classification: how asset class, type and variation give your operation one common asset language, from plant floor to boardroom.
- Asset data
Equipment Hierarchy Development: An Anatomy of Asset Knowledge, Intelligence and Standardisation
How a strong equipment hierarchy turns a flat asset list into structured knowledge that drives reliability, standardisation and better maintenance decisions.
- Fundamentals
Asset Management Maturity: What Each Level Actually Looks Like in Practice
Asset management maturity describes how an organisation actually makes asset decisions. See what each level looks like in practice and what moving up takes.
- Fundamentals
Asset Lifecycle Management: Why Planning Across the Full Asset Life Changes Every Decision You Make
Asset lifecycle management shifts capital decisions from annual cost to whole-of-life value. Learn the phases, costs and disciplines that change outcomes.
- Reliability Engineering
Asset Criticality Analysis: The Prioritisation Foundation Every Asset Management Decision Depends On
Asset criticality analysis explained: build a consequence-based framework that drives maintenance strategy, spares, inspection and capital decisions.
- Reliability Engineering
FMECA and RCM: An Integrated Approach to Developing Maintenance Strategy from First Principles
FMECA identifies what can fail and how severe it is. RCM decides what to do about it. Learn to write failure modes, functions and tasks with precision.
- Asset data
CMMS Data Quality and Failure Code Integrity: Your Asset Analysis Is Only as Good as Your Records
CMMS data quality depends on structured failure codes, not free text. What ISO 55001 and ISO 14224 require, and how to build a failure code system that works.
- Fundamentals
Asset Lifecycle Costing: Making Capital Investment Decisions That Hold Up to Scrutiny
How asset lifecycle costing turns capital investment decisions into evidence, using NPV, EAC, economic life and the data inputs a defensible model depends on.
- Reliability Engineering
Spare Parts Management in Heavy Asset Industries: Identification, Optimisation and Supply Chain Strategy
Spare parts management for mining and oil and gas: classify spares, size stock with EOQ and safety stock, and build a resilient supply chain strategy.
- Reliability Engineering
What Reliability Actually Means: The Four Elements Every Definition Must Contain
What is reliability engineering? Reliability is a probability with four mandatory elements: function, conditions, interval and probability. Explained simply.
- Reliability Engineering
The Four Reliability Functions: R(t), F(t), f(t) and h(t) and How They Connect
The four reliability functions R(t), F(t), f(t) and h(t) explained from first principles, with the master relationship derived step by step.
- Reliability Engineering
Life Data Fundamentals: Censoring, Suspensions and Getting Time-to-Failure Right
Censored data reliability analysis explained: the four censoring types, why suspensions must stay in the fit, and the gate that decides which method applies.
- Reliability Engineering
The Weibull Distribution Explained: Beta, Eta and Gamma from First Principles
Weibull distribution beta eta explained from first principles: what beta and eta physically control, why eta is always the 63.2% life, and when gamma applies.
- Reliability Engineering
Weibull Probability Plotting: A Step-by-Step Method You Can Do by Hand
Weibull probability plotting step by step: the linearising transform, adjusted ranks for suspensions, Benard median ranks, and reading beta and eta by hand.
- Reliability Engineering
Reading a Weibull Plot: Interpreting Beta, Fit Quality and Diagnosing Bad Weibulls
Interpreting Weibull plot beta, fit quality and diagnostics: recognise mixed failure modes, corner points, curvature and misleadingly high correlation.
- Reliability Engineering
Parameter Estimation and Confidence Bounds: Median Rank Regression vs Maximum Likelihood
Compare median rank regression vs maximum likelihood Weibull estimation, small-sample beta bias, B-life confidence bounds and method disclosure.
- Reliability Engineering
Weibayes and Substantiation Testing: Analysis When You Have Few or No Failures
Forty-eight tubes, four years, zero failures. Turning a clean run history into a defensible lower bound on characteristic life, and sizing a test to prove a target.
- Reliability Engineering
Weibull or Crow-AMSAA: Choosing the Right Model, and Why a Planned Replacement Is Not a Failure
One gearbox, one hundred weeks, thirteen events and only eight of them failures. Choosing the model, fitting the trend, and testing whether the PM is doing anything.
- Reliability Engineering
Reliability Block Diagrams: Building System Reliability from Component Data
Turn component reliability into one system figure using series, active parallel, k-of-n and standby redundancy models.
- Reliability Engineering
Availability: Inherent, Achieved and Operational
Understand the three availability definitions, their formulas and the organisational gaps between them.
- Reliability Engineering
Fault Tree Analysis: Building and Quantifying a Fault Tree
Build from a precise top event to gates, minimal cut sets, quantified risk and ranked improvement actions.
- Reliability Engineering
Optimal Replacement Interval: Turning Weibull Output into a Cost-Justified Task Frequency
Calculate a replacement interval from Weibull life data, cost terms and the sensitivity that moves the answer.
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