The operating problem
What the plant could not see, explain or decide with confidence.
ClariFab Case Studies
Selected projects showing how independent sensing, machine vision and fit-for-purpose information systems change operational decisions.
Customer identities and sensitive process details are removed. The problem, evidence and business value remain.Published cases & solution concepts
FEATURED CASE · ANONYMISEDMANUFACTURING INTELLIGENCE PLATFORM
An independent information layer exposed hidden downtime, multiple flow constraints, avoidable staffing cost, real-time quality loss and cycle optimisation opportunities around an established automated line.
ENGINEERING DECISION STUDY · USED AUTOMATIONMODERNIZATION STRATEGY
A side-by-side decision study compares cost, lead time, controls intervention, risk and business value — and builds a smarter evidence-led path between the extremes.
Explore the decision study ↗
DRILLED FURNITURE COMPONENTSMACHINE VISION · WOOD PROCESSING
A vision station checked the completed hole pattern on moving wooden components and classified each part for acceptance, rework or rejection.
Read the case study ↗
SOLUTION CONCEPT · VISION-GUIDED SORTINGMACHINE VISION · ROBOTIC HANDLING
A line-side camera classifies small black and white electrical enclosures, tracks each product and directs a robot to place it into the correct shipping carton.
Explore the solution concept ↗
SOLUTION CONCEPT · CUSTOM OEEFIT-FOR-PURPOSE INFORMATION SYSTEM
A custom system combines machine states, product-specific rates, changeovers, quality and incident handling into one operational picture built around the plant’s actual workflow.
Explore the solution concept ↗A growing field library
Additional cases are being prepared as projects reach a point where the operational result can be explained clearly without exposing customer-sensitive information.
A consistent case-study format
What the plant could not see, explain or decide with confidence.
Which independent signals and contexts revealed the real behaviour.
What changed in downtime, labour, quality, waste, flow or investment.
A relevant problem is enough to start
ClariFab starts with one costly blind spot and builds the minimum evidence needed to act on it.
Discuss a production problem