Manufacturing & Industrial

Discrete and process manufacturers with committed orders, constrained lines, material lots, quality and maintenance decisions.

01 · The operating chain

The manufacturing & industrial operating chain

Each demonstration sits at a point in this chain where a real business loses information, margin or time. The chain is how we read a business; the demonstrations are how we prove we can act on it.

  1. 01

    Plan

    2 demonstrations

  2. 02

    Source

    2 demonstrations

  3. 03

    Produce

    2 demonstrations

  4. 04

    Quality

    1 demonstration

  5. 05

    Maintain

    1 demonstration

  6. 06

    Deliver

    2 demonstrations

  7. 07

    Improve

    1 demonstration

Coverage map · demonstrations by operating area

AreaWorking demonstrationsCount
PlanProduction Commitment Feasibility · Material Traceability & Supplier Impact System2
SourceQuality Escape Investigator · Material Traceability & Supplier Impact System2
ProduceMaintenance Decision System · Production Loss Investigator2
QualityQuality Escape Investigator1
MaintainMaintenance Decision System1
DeliverProduction Commitment Feasibility · Material Traceability & Supplier Impact System2
ImproveProduction Loss Investigator1

A demonstration shows understanding of an operating area on a fictional business. It is not a record of client work.

02 · Where it breaks down

Where manufacturing & industrial breaks down

  • 01Promises made from headline capacity rather than the real schedule
  • 02Quality escapes whose cause spans material, machine and shift
  • 03Deteriorating assets with no operational decision behind the alarm

03 · Working demonstrations · 5

Working demonstrations

  • order commitment

    Production Commitment Feasibility

    A synthetic contract manufacturer receives a commercially important request. The system reconstructs the week hour by hour against the real schedule, material lots and roster, shows why the request cannot safely be met as asked, derives the options the plant can actually promise, routes each to the authority it needs and commits the approved plan into the order book, schedule and reservations.

    Runs on a generated plant (Norvik Fabrication, a fictional manufacturer). Every order, machine, operator and lot is synthetic and labelled as such in the interface.

    Open the demonstration →

  • quality traceability

    Quality Escape Investigator

    A synthetic moulding plant whose output looks normal while customer rejections climb. The system rebuilds rejections in ppm, finds where they concentrate, tests material batch against melt temperature per machine, shows that only the interaction explains the escape, traces one rejection to the silo, sizes what has shipped and what is still on hand, and contains it under Quality's authority.

    Runs on a generated plant (Calder Polymer Components, a fictional manufacturer). Every lot, reading, inspection, shipment and rejection is synthetic and labelled as such in the interface.

    Open the demonstration →

  • asset decision

    Maintenance Decision System

    A synthetic plant's duty compressor is in the restricted zone of its own vibration standard and rising. The system classifies the condition, extrapolates the recorded trend honestly, simulates five operational options shift by shift against the schedule, committed orders, standby capacity, spare parts and the certified roster, states which options are unsafe or unstaffable and why, and commits the approved plan into work orders, purchase orders and the operations schedule.

    Runs on a generated plant (Torvik Metals, a fictional manufacturer). Every reading, order, roster entry and part is synthetic and labelled as such in the interface. No AI is used in this demonstration.

    Open the demonstration →

  • capacity loss

    Production Loss Investigator

    A synthetic food-packing plant whose output is down while the downtime chart points at one planned overhaul. The system places every minute of 120 line-shifts in one bucket of a production-loss tree, shows the largest bar is planned and unrecoverable, and finds the recoverable capacity in three quieter patterns: micro-stops on pouches since a thicker film lot met worn seal jaws, jar-line changeovers drifting longer week on week and worst on one crew, and slower running on the new film. Recovery actions run under the production manager's authority.

    Runs on a generated plant (Ashby Fine Foods, a fictional manufacturer). Every shift, run, stop, changeover and material lot is synthetic and labelled as such in the interface.

    Open the demonstration →

  • material exposure

    Material Traceability & Supplier Impact System

    A synthetic hydraulics plant receives a supplier notice that one seal lot may harden early. A bill-of-material search says fifteen open orders across four product families are at risk. The system checks the notice's scope against every lot from that supplier, follows the suspect lot through issues, finished-goods genealogy and open allocations, and classifies each order by how it is actually served: one family is buffered by good stock already allocated, one has an approved alternate on hand, one is genuinely exposed, and the largest order ships from finished goods built before the lot arrived. Mitigations run under the materials manager's authority.

    Runs on a generated plant (Corran Hydraulics, a fictional manufacturer). Every lot, bill of material, work order, stock record, supplier notice and customer order is synthetic and labelled as such in the interface.

    Open the demonstration →

These are ways of working, not products.

These demonstrations show how we approach a problem; they are not a list of pre-built answers. Your processes, systems, constraints and blind spots will be different. A Business Systems Discovery starts from how your business actually operates, finds where information and decisions break down, and recommends the right mix of AI, automation, integration, intelligent systems or plain process change.