Manufacturing Analytics
Most plants we walk into have OEE measured by a shift supervisor in Excel, reviewed Monday morning, three days after the decisions that mattered. We build the infrastructure that changes that.
What we hear from operators
The problems we solve
OEE exists on paper only
The MES captures downtime. SAP captures production orders. Nobody has connected them. So OEE is calculated at shift end by whoever remembers to fill in the form — and by the time the plant manager sees Monday's report, the week's production schedule is already locked. The data that should drive decisions is arriving three days after they were made.
Scrap is measured, not managed
Month-end scrap reports show you what you lost. They don't show you which machine, which shift, which operator, which material batch caused it. You can't act on aggregated scrap data — you can only wince at the number. The fix is granular tracking at the point of production, connected to the ERP batch records.
Quality deviations arrive too late
By the time a quality deviation surfaces in the SAP quality module, the batch has already shipped or the downstream impact has already cascaded. The SPC data exists in the quality system. The production parameters exist in the MES. Nobody has built the bridge that catches the pattern before it becomes a non-conformance.
Planned vs actual has no teeth
Every plant has a production plan. Most have planned vs actual reporting — weekly, in a spreadsheet, presented in a meeting where everyone nods and moves on. The gap between plan and actual is accepted as normal. It isn't. It's a symptom of a scheduling system that isn't connected to real capacity data.
By market
Manufacturing Analytics — market-specific pages
Each page below covers what manufacturing analytics looks like specifically in that market — the local ERP landscape, compliance context, and the operational patterns we actually see there.
Singapore & Malaysia
United Kingdom
North America
By industry
Manufacturing Analytics — industry-specific pages
How manufacturing analytics applies to the specific systems, metrics, and operational challenges of each vertical.
Manufacturing
Most manufacturing plants we walk into have four or five systems that don't talk to each other: SAP or Oracle for production orders, a separate MES for floor execution, a quality system that's often standalone, and spreadsheets filling every gap in between.
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Packaging
Packaging plants sit at the intersection of manufacturing analytics complexity and FMCG demand volatility.
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Technology stack
Start with a conversation, not a proposal
First call is 45 minutes. No deck. We ask about your systems, your team, and your most pressing operational problem. You get a clear view of where the gap is and what closing it looks like.