Standard SPC assumes normal data
Concentrations, viscosities and impurities rarely follow a normal distribution. Capability indices calculated as if they did give false confidence — or false alarms.
Zometric helps specialty and process chemical plants run reliable, in-spec operations across batch and continuous processes — preventive maintenance with permit-to-work and turnaround support, non-normal SPC and capability, and breakdown-linked downtime tracking on a single backbone.
Key standards
Specialty chemicals manufacturing blends continuous and batch processes, capital-intensive assets, and strict safety and environmental obligations under ISO 9001, ISO 14001 and OSHA PSM. Process data is often non-normal, reactors and utilities are reliability-critical, and an unplanned shutdown is expensive and hazardous. Zometric brings the process online: control charts with Box-Cox and Johnson transformations handle non-normal capability, a full CMMS schedules preventive maintenance, gates work orders with permit-to-work and plans turnarounds, and logs every breakdown with its downtime, failure mode and root cause to drive availability, MTBF and MTTR. Batch and lot traceability ties material movements to quality and maintenance events across the plant.
The reality on the floor
Concentrations, viscosities and impurities rarely follow a normal distribution. Capability indices calculated as if they did give false confidence — or false alarms.
Reactors, compressors and utilities fail without warning when maintenance is reactive. Each unplanned trip risks safety, yield and environmental compliance.
Permit-to-work, turnaround scopes and lockout records sit in binders, slowing execution and weakening the audit trail OSHA PSM expects.
Over-concentration, over-fill and off-spec rework are tracked weeks later in spreadsheets, after the margin has already left the plant.
How Zometric helps
Each capability is delivered by a module you can adopt on its own and expand from.
Asset hierarchy to any depth, time-based PM, work orders gated by permit-to-work and grouped into turnaround events, MTBF/MTTR from the breakdown log, and recurring-failure alerts.
Delivered byMaintenanceControl charts with Box-Cox and Johnson transformations, distribution identification, and non-normal capability so Cp/Cpk/Pp/Ppk reflect reality for chemical process data.
Delivered byIn-Process Quality & SPCProduction orders and jobs against a revisioned bill of operations, with downtime recorded on the machine whenever Maintenance logs a breakdown, across batch and continuous lines.
Delivered byProductionZometric Edge bridges machines, PLCs, DCS, SCADA and historians into the core, so process data flows in automatically without rip-and-replace.
Delivered byZometric EdgeModule mix
One data backbone — begin with one module and add the rest as you scale.
A CMMS built for manufacturing, from breakdown to work order to MTBF and MTTR.
Explore module →Catch process deviations before they become defects.
Explore module →Automated production logs, downtime tracking, job scheduling, production orders.
Explore module →Standards & compliance
FAQ
Yes. The platform includes Box-Cox and Johnson transformations, distribution identification, and non-normal and nonparametric capability analysis, so capability indices are valid for data that isn't normally distributed — which is typical for concentrations, viscosities and impurity levels.
Yes. Work-order types can require a valid permit-to-work before work starts, and turnaround events group work orders with planned dates, scope and budget — alongside time-based PM, spares management and recurring-failure alerts.
Yes. The same data backbone handles batch and continuous operations — SPC and capability for in-process quality, production orders and breakdown-linked downtime for operations, and lot/batch traceability across both.
Through Zometric Edge for live machine, PLC, DCS, SCADA and historian connectivity, the Data Extractor for file-based sources, or manual entry on any device — often a mix, depending on the asset.
Start with your line
A 30-minute discovery call maps the right modules and standards to your factory — then a short pilot proves it on your real data.