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Wayam AI
ManufacturingOperationsRepresentative scenario

Setup Grouping & Changeover Minimization in Contract Electronics

A high-mix Contract Electronics Manufacturer (CEM) operating 12 Surface Mount Technology (SMT) lines producing PCBA boards for automotive and industrial IoT clients.

Run on Niyojan · Production Planning & Scheduling

Mixed work regrouped so like sits with like

The challenge

    01

    Frequent order changeovers between custom customer PCBA jobs consumed 35% of total line operating hours in setup downtime (re-reeling component feeders, changing solder stencils).

    02

    Planners scheduled orders strictly by customer priority date, causing excessive machine changeovers between jobs sharing identical component reels.

    03

    SMT machine line efficiency (OEE) dropped to 52% due to setup downtime.

How Niyojan solves it

    01

    BOM Component Similarity Grouping

    Niyojan analyzes active work order BOMs, automatically identifying jobs that share high percentages of identical SMT component reels.

    02

    Optimal Setup Sequence Generation

    Sequences production jobs to group shared component reels together, minimizing feeder re-reeling downtime between runs.

    03

    Stencil & Feeder Changeover Minimization

    Calculates exact changeover time penalties for alternative sequencing options, selecting the sequence that maximizes net machine run-time.

    04

    Customer SLA Compliance Checking

    Ensures setup grouping optimization never violates customer delivery lead times or contract SLA windows.

    05

    Operator Changeover Instruction Generation

    Dispatches detailed feeder setup change instructions to SMT line operators.

The outcome

machine changeover setup downtime reduced
0%machine changeover setup downtime reduced
SMT line Overall Equipment Effectiveness (OEE) increased
0%SMT line Overall Equipment Effectiveness (OEE) increased
  • Machine changeover setup downtime reduced by 58%, unlocking 14 hours of hidden line capacity weekly per SMT line.

  • SMT line Overall Equipment Effectiveness (OEE) increased from 52% to 74%.

  • Increased plant throughput by 22% without purchasing additional capital machinery.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

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