Reliability engineering for asset-intensive industries

Turning reliability knowledge into better engineering decisions.

AssetStudio helps organisations understand how reliability, maintenance, operations, and production interact—so that important engineering decisions can be supported by sound methodology, practical experience, and objective evidence.

From information to decisions Connected engineering
  1. 1

    Engineering Information

    Organised operational and asset history

  2. 2

    Reliability Knowledge

    Statistical models and engineering evidence

  3. 3

    System Understanding

    Reliability, operations, resources, and production

  4. 4

    Better Engineering Decisions

    Alternatives evaluated with greater confidence

Our engineering solutions

Purpose-built solutions for different engineering environments

From focused standalone applications to an integrated engineering ecosystem, each solution shares the same objective: turning engineering information into knowledge that supports better decisions.

Reliability Digital Twin

AeROS®

Evaluates how equipment reliability, operations, maintenance resources, system configuration, and production interact in asset-intensive industries.

Explore AeROS

Statistical reliability analysis

Weibull Toolbox

Supports Life Data Analysis, Recurring Data Analysis, Accelerated Life Testing Analysis, and Reliability Block Diagram analysis.

Explore Weibull Toolbox

Free online analysis and learning

FreeWeibull

Makes established statistical reliability methods more accessible to engineers, educators, and students through a free online environment.

Try FreeWeibull
In development

Integrated engineering ecosystem

AROMIS

Connects engineering information, reliability analysis, Reliability Digital Twin analysis, and Life Cycle Cost through specialised engineering workspaces.

Explore AROMIS

The engineering challenge

Engineering information does not automatically become engineering knowledge.

Industrial facilities generate large amounts of operational, maintenance, failure, and production information. Yet important engineering decisions are still often based on isolated analyses, incomplete assumptions, or experience that is difficult to quantify.

Reliability, maintenance, production, and cost are closely connected. Understanding these relationships requires more than collecting data or calculating individual reliability metrics.

It requires engineering methods that transform historical information into meaningful knowledge about asset behaviour and the consequences of alternative decisions.

Reliability

Understand how and when equipment performance changes.

Maintenance

Evaluate policies, resources, and their operational consequences.

Production

Connect equipment behaviour with system output and production loss.

Life-cycle Value

Compare the long-term consequences of engineering alternatives.

How AssetStudio helps

From engineering information to better decisions

AssetStudio develops methodologies, software, and engineering services that help organisations build progressively deeper understanding of their assets.

  1. 01

    Understand Asset Behaviour

    Organise historical failure, maintenance, operational, and production information to identify patterns and engineering questions.

  2. 02

    Develop Reliability Knowledge

    Apply appropriate statistical methods to understand failure behaviour, reliability trends, and maintenance performance.

  3. 03

    Evaluate System Performance

    Use Reliability Digital Twin analysis to connect equipment reliability with operations, resources, production, and system performance.

  4. 04

    Compare Engineering Alternatives

    Quantify the reliability, production, and economic consequences of alternative engineering scenarios before implementation.

Engineering services

Engineering expertise when software alone is not enough

Some engineering questions require more than an application. AssetStudio works directly with organisations to clarify the problem, select appropriate methods, develop defensible models, and interpret the results.

Discuss an Engineering Problem

Consulting

Quantitative reliability and RAM studies that connect equipment behaviour, operating constraints, maintenance strategy, and production performance.

Training

Methodology-led courses that combine sound reliability theory with realistic datasets, industrial examples, and practical application.

Technical Guidance

Support for data limitations, modelling assumptions, method selection, and interpretation—helping engineers use results with greater confidence.

Why AssetStudio

Engineering first. Evidence-led. Grounded in industrial reality.

Sound Methodology

Engineering theory provides the foundation for confidence.

Practical Application

Methods are developed and refined around real industrial problems.

Long-term Relationships

Support continues beyond the delivery of software or a single study.

Customer evidence

Engineering solutions strengthened through real-world application

Our work with organisations across energy and manufacturing continues to shape how AssetStudio's methodologies, software, and services develop.

Petronas
PLN
PJB
PTT
Badak LNG
Maaden
Rolling
HKPC
Razer
Johnson
RSAF
NXP
Petronas
PLN
PJB
PTT
Badak LNG
Maaden
Rolling
HKPC
Razer
Johnson
RSAF
NXP
I am pleased to recommend the services of Asset Studio Pte Ltd (AssetStudio). Petronas Upstream has engaged AssetStudio to perform reliability analyses and conduct RAM (Reliability, Availability, and Maintainability) studies for our assets.

Principle Engineer

Petronas Carigali Sdn Bhd

We worked with AssetStudio on one of our CAPEX projects and were impressed by their flexibility and deep expertise in reliability engineering. I look forward to the opportunity to collaborate with them again in the future.

Project Manager

A Leading Power Authority in Indonesia

AssetStudio in three minutes

Prefer a quick overview?

Watch a short introduction to AssetStudio, our engineering approach, and the industrial problems our solutions are designed to address.

Current information

Training and software updates

Upcoming public training

Reliability Analysis for Repairable Systems (Course Outlines & Registrations)

Date
21 to 24 September 2026 (4 days)
Location
Harper Malioboro Yogyakarta by ASTON, Indonesia
View Course Details

Start with the engineering question

What decision are you trying to make?

Tell us about the problem, the available information, and the decision it needs to support. We can help identify a practical next step.

Discuss an Engineering Problem