AArvindExecutive Cockpit

Workforce / Operator 360

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

Arvind Limited · FY26 (Mar'26, actuals)
Among the world's largest denim makers
25,800 employees · 12+ plants & units · 30 export markets
Executive read· the answer, then the moves

The workforce runs at 90% capacity utilization vs a 93% target — 3 points of already-paid capacity sitting idle, worth ~₹297 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: Right-First-Time Quality 96.2% vs 99.0%, Machine Uptime / OEE 88.5% vs 92.0%, On-Time Delivery (OTIF) 94.5% vs 98.0%

Do now — ranked by urgency
  1. 1
    Lift utilization in Corporate / R&D firstAct now
    Why it matters

    Corporate / R&D runs lowest at 82% utilization with 60 open reqs and 92% skilled — the thinnest bench and the biggest idle slice.

    What's driving it
    • Corporate / R&D 82% utilization vs 93% target
    • 6 of 6 clusters below target
    FYI
    • 1,600 operators · 60 open reqs · 92% skilled
    • Same clusters where Industry-4.0 automation & skilling are still ramping — accelerate onboarding
  2. 2
    Capture the ~₹297 Cr idle-capacity prizeWatch
    Why it matters

    ~3 points of idle, already-paid capacity across 25,800 operators — running it adds ~₹297 Cr of throughput with no new lines.

    What's driving it
    • Capacity utilization 90% vs 93% target
    • Right-first-time 96% vs 99% target (3pt gap)
    FYI
    • 25,800 operators, 86% skilled
    • Better line balancing + less rework converts straight to margin
🏭 Operate the plantsStep 4 of 5 · labour & utilizationValue-Added / AMD 360Supply & Cotton 360All journeys
🌐 Enterprise 360 modules· on Workforce 360Browse all 31 views ▾
● 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 90% 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)
25,800
Operators
of ~25,800 staff
90%
Capacity utilization
target 93%
96%
Right-first-time
target 99%
86%
Skilled
trained / certified
904
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
Gujarat (mfg hub)14,80090%96%6.6h88%240
Rest of India5,20092%95%7.4h82%360
South India2,60091%95%7.1h84%180
Corporate / R&D1,60082%98%92%60
North India90086%93%7.8h80%40
Export desks (commercial)70084%97%90%24
The capacity prize

90% → 93% utilization

Running the idle capacity adds throughput with zero new lines.

+₹297 Cr

~3 points of idle, already-paid capacity across 25,800 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.

Corporate / R&D
1,600 techs · 60 open reqs · 92% certified
Utilization
82%
Export desks (commercial)
700 techs · 24 open reqs · 90% certified
Utilization
84%
North India
900 techs · 40 open reqs · 80% certified
Utilization
86%
Gujarat (mfg hub)
14,800 techs · 240 open reqs · 88% certified
Utilization
90%
South India
2,600 techs · 180 open reqs · 84% certified
Utilization
91%
Rest of India
5,200 techs · 360 open reqs · 82% certified
Utilization
92%

Not a coincidence: Corporate / R&D and Export desks (commercial) 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.