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Where We Work

One method. Configured to your manufacturing reality.

Industry experience matters, but the nature of the constraint matters more. What changes between a pharmaceutical plant and an auto-component plant isn't whether the floor is disconnected — it's which disconnection costs the most, and which regulator is asking about it.

The straight answer

Which manufacturing sectors does OrbitX work with?

Discrete and process manufacturing across automotive and components, FMCG and consumer goods, food and beverage, pharmaceuticals and medical devices, consumer durables and electronics, and heavy manufacturing including chemicals, cement, metals, packaging, textiles and plastics. The underlying capability is the same in each; what changes is sequencing, compliance scope and which KPIs the business is measured on.

Automotive & Components

Tight tolerances, unforgiving customers, and a supply chain where one supplier's variability becomes your line stoppage. Automotive plants live or die on component-level traceability and supplier discipline — and both fall apart the moment records are kept in separate spreadsheets.

Where it usually breaks
  • Supplier quality variability with no early warning
  • Excel-based vendor audits and PQCS checklists
  • Weak component-level traceability under customer audit
  • Non-conformance visible days after the fact
  • Manual CAPA and RCA follow-up
  • Line downtime attributed by guesswork
  • Fire and safety compliance evidence scattered

What we deploy

  • Component and serial-level genealogy
  • Supplier scorecards linked to line incidents
  • PQCS and control plan digitisation
  • OEE and downtime by line and cell
  • CAPA closure tracking with SLA
  • Multi-site supplier collaboration
Metrics it moves
PPMOEESupplier on-time qualityCAPA closure daysTrace timeMTTR
Typical sequencing

Traceability and supplier quality first — the customer audit exposure usually outweighs the OEE opportunity in the first phase.

FMCG & Consumer Goods

High-speed lines, frequent changeovers and SKU proliferation. In FMCG the losses hide in the transitions — changeover time, minor stops and sanitation cycles — and they're almost never measured properly because nobody has time to write them down at line speed.

Where it usually breaks
  • Changeover losses estimated rather than measured
  • Micro-stops invisible in shift totals
  • Sanitation and hygiene records on paper
  • Energy and water known only as monthly bills
  • SKU-level performance not comparable
  • Utility cost per unit unknown

What we deploy

  • Automated OEE with micro-stop capture
  • Changeover analysis and SMED support
  • Digital sanitation and hygiene workflows
  • Specific energy and water per unit
  • Line and SKU performance comparison
  • ESG data capture at source
Metrics it moves
OEEChangeover timeSpecific energyWater intensityLine efficiencySanitation compliance
Typical sequencing

Production and utilities first — high-speed lines make micro-stop and changeover data the fastest measurable win.

Food & Beverage

Batch consistency, hygiene discipline and critical control points, under regulators and retail customers who both audit you. The compliance record is the product as much as the food is, and reconstructing it after the fact is expensive and unconvincing.

Where it usually breaks
  • CCP monitoring on paper with retrospective sign-off
  • Cleaning validation records hard to retrieve
  • Batch genealogy assembled manually during a recall
  • Process parameter deviations noticed late
  • Shelf-life and release decisions poorly evidenced
  • Supplier COA handling entirely manual

What we deploy

  • CCP monitoring with automatic deviation capture
  • Digital cleaning and sanitation validation
  • Batch and lot genealogy with forward blast
  • Electronic batch records
  • Process parameter monitoring and alerting
  • Release workflow with evidence trail
Metrics it moves
First-pass yieldCCP complianceTrace timeHold and release cycleComplaint rateAudit findings
Typical sequencing

Quality and traceability first — regulatory and retailer audit exposure dominates the business case.

Pharmaceuticals & Medical Devices

Documentation is not overhead here; it is the licence to operate. Batch records, deviations, CAPA and audit trails must be complete, attributable and contemporaneous — which is precisely what paper and spreadsheets cannot reliably guarantee.

Where it usually breaks
  • Batch record compilation consuming weeks per campaign
  • Deviation handling slow and inconsistently documented
  • CAPA effectiveness rarely verified
  • Equipment calibration and qualification tracked manually
  • Audit preparation as a recurring crisis
  • Data integrity gaps under scrutiny

What we deploy

  • Electronic batch records with locked audit trail
  • Deviation and CAPA workflows with escalation
  • Equipment calibration and qualification tracking
  • Line clearance and changeover verification
  • Training and competency records linked to activity
  • Continuous audit readiness
Metrics it moves
Batch release cycleDeviation closureCAPA effectivenessRight-first-timeAudit observationsCalibration compliance
Typical sequencing

Quality, traceability and workforce competency first — the compliance case is self-evident and the operational gains follow.

Consumer Durables & Electronics

Assembly-driven manufacturing with deep component trees, seasonal demand swings and brought-out parts whose quality you didn't control. Field failures trace back to a component lot — if you can find it.

Where it usually breaks
  • Component traceability breaking at subassembly level
  • Brought-out part quality visible only after failure
  • Seasonal ramp exposing capacity blind spots
  • Test bench results not linked to unit history
  • Multi-factory performance not comparable
  • Rework history poorly captured

What we deploy

  • Unit-level genealogy through subassembly
  • Test bench and instrument integration
  • Supplier quality performance linking
  • Rework and repair history capture
  • Capacity and line balancing analytics
  • Multi-plant benchmarking
Metrics it moves
First-pass yieldField failure rateTrace depthRework rateLine balanceSupplier PPM
Typical sequencing

Traceability and quality first, with test-bench connectivity as the enabling work.

Heavy & Process Manufacturing

Chemicals, cement, metals, packaging, textiles and plastics. Energy-intensive, continuous or semi-continuous, with assets whose unplanned failure is measured in hours of lost production and, occasionally, in safety incidents.

Where it usually breaks
  • Energy as the second-largest cost, managed monthly
  • Reactive maintenance on critical rotating assets
  • Process parameter excursions found in hindsight
  • Utility sub-metering absent or unread
  • Emissions and effluent data compiled annually
  • Permit-to-work discipline paper-based

What we deploy

  • Real-time energy and specific consumption
  • Condition monitoring on critical assets
  • Process parameter alerting
  • Utility, ETP and STP logbooks
  • Emissions and ESG evidence capture
  • Digital permits and LOTO
Metrics it moves
Specific energyMTBFUnplanned downtimeYieldEmissions intensityPermit compliance
Typical sequencing

Utilities and maintenance first — energy recovery and asset reliability typically carry the strongest payback.

The Common Thread

What doesn't change between sectors.

The compliance scope changes. The KPI names change. The underlying failure does not.

01

The data exists

In every plant we've walked, the information needed to run the operation better is already being generated. It is being generated onto paper, into a controller nobody reads, or into a supervisor's memory — but it exists.

02

The functions are interdependent

Maintenance affects quality. Quality affects throughput. Throughput affects energy per unit. Every plant knows this and almost none of them can see it, because each function keeps its own records.

03

Adoption decides the outcome

Across every sector, the programmes that fail don't fail technically. They fail because the supervisor kept the parallel spreadsheet and nobody noticed for six months.

Fit

Where we work best — and where we don't.

Strong fit

  • A named executive sponsor above plant level
  • At least one metric leadership genuinely wants to move
  • Willingness to change process, not just add software
  • An ERP in place, even if the floor data isn't
  • Recent trigger: expansion, an audit failure, new leadership, or a stalled programme

Poor fit

  • Looking for a licence at the lowest per-seat price
  • No sponsor above the plant, so funding dies at the first budget review
  • Expecting transformation with no process change at all
  • Cannot name a single metric they want to improve
  • Mid-way through a competitor's rollout with heavy sunk-cost commitment
On saying no

We turn down work that falls into the right-hand column. It isn't principle for its own sake — in a referral-driven market, an engagement that was never going to succeed damages both parties, and the manufacturing community in any given cluster is small enough that everyone finds out.

Start Here

Which of these sounds like your plant?

The Connected Floor Audit starts with your operation rather than a sector template — two to four weeks on your floor, ending in a costed roadmap.