RRico AutoExecutive Cockpit

Workforce / Operator 360

The plant & shop-floor workforce — capacity utilization, right-first-time and skilling by cluster, and the capacity already paid for but sitting idle.

Rico Auto Industries Limited · FY26 (Mar'26, actuals)
Leading Indian aluminium high-pressure die-casting auto-components maker
7,500 employees · 8+ plants & units · 12 export markets
Executive read· the answer, then the moves

The workforce runs at 83% capacity utilization vs a 93% target — 10 points of already-paid capacity sitting idle, worth ~₹877 Cr of throughput with zero new lines. The idle capacity is concentrated where automation and skilling are still ramping; closing it converts straight to margin.

3 of 3 headline metrics improving vs prior · still off target: First-Pass Yield / Quality 96.4% vs 99.0%, Machine Uptime / OEE 84.5% vs 90.0%, On-Time Delivery (OTIF) 95.2% vs 98.0%

Do now — ranked by urgency
  1. 1
    Lift utilization in West India (Sanand / Hosur) firstAct now
    Why it matters

    West India (Sanand / Hosur) runs lowest at 78% utilization with 120 open reqs and 80% skilled — the thinnest bench and the biggest idle slice.

    What's driving it
    • West India (Sanand / Hosur) 78% utilization vs 93% target
    • 6 of 6 clusters below target
    FYI
    • 600 operators · 120 open reqs · 80% skilled
    • Same clusters where Industry-4.0 automation & skilling are still ramping — accelerate onboarding
  2. 2
    Capture the ~₹877 Cr idle-capacity prizeWatch
    Why it matters

    ~10 points of idle, already-paid capacity across 7,500 operators — running it adds ~₹877 Cr of throughput with no new lines.

    What's driving it
    • Capacity utilization 83% vs 93% target
    • Right-first-time 96% vs 99% target (3pt gap)
    FYI
    • 7,500 operators, 85% skilled
    • Better line balancing + less rework converts straight to margin
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● LiveBuilt forChief Manufacturing Officer· utilization & hiring gapsPlant / unit heads· their line productivityCFO· capacity = margin

The workforce is a largely fixed cost whether or not the lines run full. At 83% capacity utilization vs a 93% target, several points of already-paid capacity sit idle — the single biggest operational lever after pricing, and it's concentrated where Industry-4.0 automation and skilling are still ramping.

Data backing: workforce (by plant cluster) · kpi (capacity utilization, right-first-time, MTTR)
7,500
Operators
of ~7,500 staff
83%
Capacity utilization
target 93%
96%
Right-first-time
target 99%
85%
Skilled
trained / certified
514
Open requisitions
hiring pipeline
The workforce, by cluster

Productivity & coverage

Capacity utilization, right-first-time and skilling by cluster — the watch clusters match the transformation map.

Plant clusterOperatorsCapacity utilRight-first-timeMTTRSkilledOpen reqs
North India (Haryana cluster)4,20084%96%6.4h86%180
Uttarakhand (Haridwar)1,10086%95%6.9h82%90
South India (Chennai)70080%95%7.1h84%70
Corporate / R&D70082%98%92%40
West India (Sanand / Hosur)60078%94%7.6h80%120
Export desks (commercial)20084%97%90%14
The capacity prize

83% → 93% utilization

Running the idle capacity adds throughput with zero new lines.

+₹877 Cr

~10 points of idle, already-paid capacity across 7,500 operators. Closing it — better line balancing, less rework, and faster skilling onto automated lines — converts straight to margin. Pair with right-first-time (96%→99%): every avoided rework lot is pure profit.

Where to act

Lowest utilization + thinnest bench

Same clusters where automation & skilling programs are still ramping.

West India (Sanand / Hosur)
600 operators · 120 open reqs · 80% skilled
Utilization
78%
South India (Chennai)
700 operators · 70 open reqs · 84% skilled
Utilization
80%
Corporate / R&D
700 operators · 40 open reqs · 92% skilled
Utilization
82%
North India (Haryana cluster)
4,200 operators · 180 open reqs · 86% skilled
Utilization
84%
Export desks (commercial)
200 operators · 14 open reqs · 90% skilled
Utilization
84%
Uttarakhand (Haridwar)
1,100 operators · 90 open reqs · 82% skilled
Utilization
86%

Not a coincidence: West India (Sanand / Hosur) and South India (Chennai) run lowest — the same clusters where Industry-4.0 automation and operator skilling are still ramping. Accelerating skilling and line balancing lifts utilization and right-first-time together.