Paper reels
Flagship · Deckle Optimizer

Slit smarter.
Recover everything.

The most advanced deckle and slitting optimization engine built for paper mills. Three intelligent tiers. 180+ constraints. Continuous pattern learning. Saves ₹100K+ per month at the winder.

3-Tier

Engine

180+

Constraints

<2s

Instant Mode

₹100K+

Saved / month

The hidden cost

Every kilo of trim is a kilo of money in the bin.

A typical paper mill loses 4–6% of production to trim waste at the winder. For a 2,000 TPD mill at ₹70,000/tonne pulp + conversion cost, that's ₹56–84 crore burned every year— turning premium paper into recycled fiber at a fraction of value.

Manual deckle planning makes it worse: planners hand-build cut patterns using spreadsheets, can't evaluate alternatives, and re-plan takes 30–45 minutes whenever an order changes.

Trim waste impact · 2000 TPD mill

Wasted production82,000 t/yr
Material + conversion cost₹57 Cr
Lost margin opportunity₹38 Cr
After Deckle Optimizer₹68 Cr saved

* Based on ₹70K/t pulp+conversion, 5% trim, 95% recovery improvement target. Actual savings depend on mill configuration.

The 3-Tier Engine

Right algorithm. Right time budget.

Three modes for three planning horizons. The engine auto-selects based on problem complexity and available time, or you can force a mode for specific scenarios.

< 2 seconds

Instant Mode

Mid-shift quick fixes

When to use

Order changed. Reel rejected. Last-minute customer call.

Method

Greedy heuristics, pre-warmed cache, demand graph traversal

QUALITY

Good (~92% of optimal)

CONSTRAINTS

Hard constraints only

5 – 30 seconds

Planning Mode

Shift-level planning

When to use

Morning planner meeting. Shift handover.

Method

Metaheuristic search with neighborhood exploration

QUALITY

Very good (~97% of optimal)

CONSTRAINTS

Hard + soft preferences

≤ 5 minutes

Full Optimization

Daily / weekly plan

When to use

Production planner builds the next-day master plan.

Method

Exact MILP solving with 180+ constraints

QUALITY

Provably optimal

CONSTRAINTS

All hard, all soft, all preferences

Sample Output

A real optimization plan.

What you actually see after a Full Optimization run. Every slit, every position, every reel — with reasoning.

PLAN IDPLN-2026-0124-MC2APPROVED
Machine: PM-2Shift: ADate: 24-Jan-2026

Deckle width

5,260 mm

Trim

1.4%

Recovery

98.6%

SWO value

₹4.2L

Solver

MILP · 3m42s

Slitting Pattern — Deckle 5,260 mm

1200mmABC
1100mmGHI
950mmABC
800mmXYZ
850mmGHI
SWOStock
trim
Pos 1Pos 2Pos 3Pos 4Pos 5Pos 6Edge

Active constraints honored (12 of 180+)

Deckle ≤ 5260mmABC order priorityFEFO batch C-4821Pos 6 SWO eligibleTrim < 2.5%Knife count ≤ 8GSM tolerance ±2Reel weight max 2.4tMaint window respectedCustomer XYZ deliveryPattern PT-447 (learned)Recovery ≥ 96%

Constraints Catalog

180+ constraints. Eight categories.

Every rule of your mill — hard limits and soft preferences — codified, configurable, and honored on every plan.

Machine Constraints

32 constraints

  • · Reel diameter min/max per machine
  • · Reel weight max
  • · Deckle width (active trim width)
  • · Speed limits by grade
  • · Knife position count + spacing
  • · Turret type (single, double, triple)
  • · Slitter arm reach limits
  • · Crepe ratio applicable
  • · OD-to-width compatibility per machine
  • · Cross-grain orientation

Quality Constraints

28 constraints

  • · GSM tolerance per grade
  • · Brightness band per customer spec
  • · Moisture limits at winder
  • · Opacity floor per product
  • · Tensile strength minimums
  • · Smoothness range
  • · Air permeability bounds
  • · COBB value limits
  • · Burst strength minimums
  • · Ring Crush ratio thresholds

Customer Constraints

24 constraints

  • · Order-specific width tolerance
  • · Allowed pocket positions per customer
  • · Reel weight contracted range
  • · Grade substitution rules
  • · Quality grade-up acceptance
  • · Delivery-date binding constraints
  • · Customer-specific allowance percentages
  • · Approved deckle patterns
  • · Forbidden trim percentages
  • · Loyalty-grade priority bumps

Cost & Recovery

22 constraints

  • · Trim cost per metric tonne
  • · SWO recovery valuation (20× waste)
  • · Set-up changeover cost
  • · Reel rejection penalty
  • · Quality grade-down cost
  • · Storage cost (idle reels)
  • · Late delivery penalty
  • · Energy cost per machine-hour
  • · Operator overtime premium
  • · Conversion cost from reel to sheet

Operational

20 constraints

  • · Shift-bound demand fulfillment
  • · Machine availability windows
  • · Maintenance lock periods
  • · Grade-changeover sequencing
  • · Chemistry change limits per shift
  • · Operator skill matrix
  • · Crew capacity per shift
  • · Concurrent run limits per type
  • · FIFO pulp consumption
  • · Roll handling capacity

Process & Position

18 constraints

  • · Position-specific allowances
  • · OD grouping rules
  • · Pocket auto-detection logic
  • · Cutter routing dependencies
  • · Position constraint trees
  • · SWO position scoring
  • · Cross-machine balance limits
  • · Pattern rotation rules
  • · Edge-trim minimums
  • · Anti-stacking constraints

Inventory & Allocation

16 constraints

  • · FEFO batch ordering
  • · Reel availability windows
  • · Allocated stock vs free stock
  • · Customer reservation honoring
  • · Quality-hold stock exclusion
  • · Consignment stock rules
  • · Expiry-aware allocation
  • · Multi-warehouse availability

Compliance & Audit

20 constraints

  • · Approval-gate for high-cost changes
  • · Auditor-log every plan revision
  • · RBAC-bound configuration changes
  • · Customer-spec authority validation
  • · Grade-substitution authorization
  • · Pattern-library version locking
  • · Pre-flight regulatory check
  • · Plan-vs-actual tolerance triggers

Configuration

15+ tunable areas.

Configure once, then keep refining. Every knob exposed through admin UI, all changes versioned and audit-logged.

CFG-01

Constraint Profiles

Speed, capacity, quality, material profiles. Switch instantly between production scenarios.

CFG-02

Optimization Profiles

Clone, customize, set defaults. Different profiles for different shifts or product mixes.

CFG-03

Priority Profiles

Weighted scoring across cost, recovery, customer priority, delivery date. Tune the trade-off.

CFG-04

SWO Configuration

Stock Without Order parameters. Set valuation, position scoring, recovery targets.

CFG-05

Machine Chains

Serial machine setup, grade matrix, cross-machine routing.

CFG-06

Solver Settings

Tier selection rules, time budgets, gap targets, warm-start sources.

CFG-07

Cutter Routing

Pocket and slit priority, blade reordering, knife position constraints.

CFG-08

Allowance Rules

Pocket allowances, reel allowances, machine-specific tolerances.

CFG-09

Position Constraints

OD grouping, position-specific limits, edge constraints.

CFG-10

Auto-Exclusion

Product group configs, automatic exclusion rules for incompatible items.

CFG-12

Product Group Fields

Custom fields per product group, grouping logic, substitution rules.

CFG-COST

Cost Configuration

Per-company cost models, per-grade overrides, currency handling.

BATCH-I

Batch I Tolerances

Customer tolerance bands, BF compatibility, grade-substitution rules.

CFG-PATT

Pattern Library

Captured patterns, effectiveness scoring, pattern-bias weighting.

CFG-AUDIT

Audit Configuration

What gets logged, who can see, retention policy, signature requirements.

Use Cases

Real mill scenarios.

Four typical situations where Deckle Optimizer changes the outcome.

Reactive: Customer Cancels at 11am

Case 01

Reactive: Customer Cancels at 11am

Scenario

Order for 4,800 kg of 42 GSM is cancelled at 11am. Mill has already produced 1,200 kg. Operator has 30 minutes before next changeover.

Deckle Response

Operator triggers Instant Mode. In 1.4 seconds, engine generates new plan: convert remaining production to nearest-grade SWO at valid pocket positions, reassign 800 kg to backlog order at acceptable substitution width. Operator approves and executes.

time

1.4s

recovery

95%

waste avoided

2,800 kg

Planning: Tomorrow's Master Plan

Case 02

Planning: Tomorrow's Master Plan

Scenario

Production planner needs daily plan for tomorrow. 47 confirmed orders, 12 pending priority calls. Two machines, three grade families, 180+ constraints active.

Deckle Response

Full Optimization mode runs at 4:30 PM. In 3 minutes 42 seconds, engine produces optimized plan with explainability. Planner reviews active constraints, alternate patterns, recovery analysis. Drag-drop two manual overrides, approve, lock plan for production.

time

3m 42s

coverage

100%

trim pct

1.8%

Strategic: Quoting a New Customer

Case 03

Strategic: Quoting a New Customer

Scenario

New customer wants 8 standard widths over 14 days. Need to quote tight margin without committing to losses. Sales asks production planning for trim implications.

Deckle Response

Planning Mode runs scenarios. Compare 4 acceptance patterns. Trim curve plotted across volumes. Margin floor validated. Quote sent with confidence.

scenarios

4

quote margin

+2.8%

risk

Low

Learning: Pattern Becomes Standard

Case 04

Learning: Pattern Becomes Standard

Scenario

Planner has approved the same 6-slit pattern for medium-GSM kraft 14 times. Engine has been logging it.

Deckle Response

After 10 approved runs with consistent outcomes, engine adds pattern to library with effectiveness score. Future similar demand auto-biases toward this pattern. Operator's expertise compounds into the system.

approvals

14

confidence

High

time saved

~2 hours/wk

Performance Comparison

Manual vs Deckle.

Before/after numbers from a representative 2,000 TPD mill running Deckle for 90 days.

MetricManual PlanningWith DeckleImprovement
Trim waste %5.2%1.8%65% reduction
Planning time per shift90 min8 min91% faster
SWO recovery62%94%+32 pts
Re-plan after change45 min2 sec1,350× faster
Constraints honored~30 reliably180+ guaranteed6× coverage
Plan explainabilityTribal knowledgeFull reasoningAuditable

Reports & Analytics

What you get out.

Recovery analysis, pattern effectiveness, plan-vs-actual reconciliation, trim trends. Reports that turn data into decisions.

Trim % Trend

Wk1Wk12

Trim % dropped from 5.2% to 1.6% over 12 weeks after Deckle go-live.

Recovery Breakdown

Customer orders87.2%
SWO (sellable)11.4%
Trim (waste)1.4%

SWO valued at 20× waste. Highly tuned recovery drops trim near theoretical minimum.

Pattern Library

PT-447142 uses96/100
PT-38998 uses94/100
PT-51276 uses91/100
PT-22854 uses88/100
PT-66131 uses82/100

Top 5 learned patterns. Engine biases toward high-score patterns when demand matches.

Solver Time Distribution

Instant Mode12471.2s avg
Planning Mode31818s avg
Full Optimization473m 21s avg

Last 30 days. 96% of optimizations are Instant or Planning mode — 4% need Full.

Plan vs Actual (last 7 days)

Mon98.4%97.8%-0.6
Tue97.9%97.2%-0.7
Wed98.6%98.9%+0.3
Thu97.5%96.1%-1.4
Fri98.2%98.4%+0.2
Sat97.8%97.5%-0.3
Sun98.1%98.0%-0.1

Plan accuracy > ±1% on 6 of 7 days. Thursday investigated and root cause identified.

Monthly Savings

₹4.82 Cr

Last 6 months, cumulative

Reduced trim₹3.21 Cr
SWO recovery uplift₹1.18 Cr
Planning time saved₹0.28 Cr
Faster re-plans₹0.15 Cr

Realized savings ROI: 9.2× annualized.

Integration Modes

Embedded. Standalone. API.

Choose how Deckle fits into your stack. Use it embedded in Papyrus BPApp, plug it into your existing ERP, or call it API-only.

Embedded

Bundled with the Papyrus platform. Single login, shared data, native integration with Sales, Inventory, Production.

Standalone

Deployed as independent product. Plugs into your existing ERP (SAP, Oracle, Tally, Microsoft Dynamics, custom).

API-Only

Headless integration. Send demand via REST, receive plans as JSON. Build your own UI or embed in existing dashboards.

Hosting Options

Cloud SaaS

Fully managed, Vercel/AWS hosted, auto-scaling, 99.5% SLA.

Private Cloud

Dedicated cloud tenant, customer VPC, region-locked data.

On-Premise

Customer datacenter, full control, supported via VPN.

Hybrid

API in cloud, planner UI on-prem, or vice versa.

Pre-built ERP Connectors

Connect to your existing ERP in days — not months. Standard connectors ship with mapping templates for paper-industry data models.

SAP S/4HANASAP ECCOracle ERPTally PrimeMicrosoft Dynamics 365ERPNextCustom REST

Implementation

From contract to ROI in 30 days.

Typical rollout. Faster for API-only integration, longer for full embedded with custom integrations.

W1
Week 1·

Data discovery & onboarding

  • Machine master setup
  • Grade and product catalog import
  • Customer specifications import
  • Initial constraint profile
W2
Week 2·

Configuration & calibration

  • 15+ config areas set up
  • Cost model tuning
  • Allowance rules per machine
  • Pattern library seeded with historical data
W3
Week 3·

Shadow mode parallel run

  • Engine runs alongside manual planning
  • Daily plan comparison
  • Operator training
  • Edge cases flagged and configured
W4
Week 4·

Go-live

  • Cutover to Deckle-generated plans
  • On-site planner support
  • Pattern learning activated
  • Performance baseline locked
W5+
Week 5+·

Continuous improvement

  • Weekly review cadence
  • Pattern library grows with approvals
  • Configuration refinements
  • ROI tracking against baseline

Planner Workspace

Built for planners, not data scientists.

Interactive planner UI with drag-drop adjustments, live constraint feedback, alternative pattern explorer, and one-click approval.

Deckle Planner · PM-2 · Shift A Auto-saving

Demand Pool

SO-2847

ABC Paper

1200mm · 4.2t

SO-2851

GHI Mills

1100mm · 3.8t

SO-2855

XYZ Pack

800mm · 2.4t

SO-2861

ABC Paper

950mm · 1.9t

SO-2867

GHI Mills

850mm · 2.1t

Slitting Canvas · 5260mm deckle

Trim 1.4% · Recovery 98.6%
ABC
GHI
ABC
XYZ
GHI
SWO
T

✓ All 12 active constraints satisfied. Plan ready for release.

Live Constraints

Deckle width
Trim limit
Knife count
FEFO honor
Customer specs
SWO eligible
Recovery
Reel weight
GSM tolerance
Pattern bias

Every Capability

Drill into any feature.

Click any capability to drill in.

Preview — available on requestRoadmap — planned within 12 months

Integrations

Works with everything else.

Every Deckle Optimizer action flows into the other modules — no manual data re-entry, no reconciliation pain.

Deckle OptimizerSales

Demand → optimization input

Pull confirmed SO requirements

Deckle OptimizerInventory

Plan → reel allocation

Reserve reels for slitting

Deckle OptimizerProduction

Plan release → WO

Auto-create work order on approve

Deckle OptimizerFinance

Plan → cost analysis

Sellable recovery vs. waste valuation

Paper mill

Ready to modernize your mill?

See Papyrus BPApp
in your mill.

Book a personalized demo. We'll walk through every module relevant to your operation — from Deckle optimization to GSTR-3B compliance.

CallRequest Demo