NEXT GENERATION APS
Advanced Planning & Scheduling
Re-imagined.
Daice APS combines advanced algorithms, linear programming, and AI into a unified Hybrid Intelligence platform — built for the complexities of modern production.
Your operation is leaking money. Here’s where.
Directors running complex manufacturing environments face the same 6 structural problems. Daice APS was built to eliminate every one of them.
✦
VISIBILITY
You find out about production problems after they’ve already cost you
By the time a delay reaches your dashboard, it’s already a customer call. Traditional planning tools don’t surface disruptions in real time — they report them after the fact.
FIX → Autonomous scheduling adapts the moment a deviation occurs on the shop floor. You see it before it becomes a crisis.
🂱
DECISION QUALITY
Your team is choosing between few options when hundred exist
Manual what-if analysis is slow and incomplete. Teams default to familiar choices — not optimal ones — because exhaustive scenario testing isn’t humanly possible.
FIX → Unattended simulations run thousand combinatorial scenarios in minutes, each benchmarked against your KPIs.
♛
WORKING CAPITAL
Inventory is absorbing cash that should be driving growth
Excess stock and high work-in-progress levels are a symptom of imprecise planning. Without tighter scheduling, safety buffers bloat — and capital stays locked in your warehouse.
FIX → Precise sequencing and demand-aligned scheduling have driven inventory reductions without compromising service levels.
⚡︎
FIREFIGHTING
Your best planners spend their days reacting, not planning
Expediting, last-minute rescheduling, and constant exception handling consume your most experienced people. The operation runs on tribal knowledge and adrenaline — not process.
FIX → Built-in automation handles routine rescheduling. Your planners shift from fire response to strategic control.
𖦏
CUSTOMER DILIVERY
On-time delivery is a moving target you never quite hit
Late deliveries erode contracts and trigger penalties. When schedules aren’t synchronized with actual capacity, promises get made that the factory can’t keep.
FIX → Capacity-aware scheduling surfaces delivery risks before commitment, not after.
🛦
LABOR & CAPACITY
You’re authorizing overtime that shouldn’t be necessary
Poor sequencing and changeover inefficiency force overtime as a corrective measure. Capacity is wasted — and labor costs inflate — because the schedule wasn’t optimized before production started.
FIX → Multi-variable optimization eliminates avoidable overtime while increasing throughput.
We know your industry.
Whether you run a paper mill, a pharma batch line or an automotive tier-1 supplier — the inefficiencies are different. The fix is the same. Daice APS.
1
Campaign scheduling
Production campaigns are automatically grouped to minimize CIP (Clean-in-Place) cycles, reducing costly downtime between runs.
2
Co-production optimization
The APS engine identifies which SKUs share compatible parameters and can be co-produced together, respecting min/max batch sizes and durations.
3
Tank & line synchronization
Tanks feeding single or multiple filling lines are scheduled holistically, preventing bottlenecks and idle time across the entire process flow.
4
Co-production optimization
Perishable inventory, purchase orders, demand forecasts and production capacity are synchronized in real time to avoid both stockouts and expiry waste.
1
Allergen sequencing
Production sequences are optimized to schedule allergen-free runs before allergen-containing ones, minimizing cross-contamination risk and costly deep cleans.
2
Batch traceability
APS links ingredient lots to production batches, giving full traceability from raw material intake to finished goods for recalls and audits.
3
Seasonal demand planning
Seasonal peaks are anticipated and pre-built into the production plan, balancing capacity against perishable raw material availability.
4
Co-packing & private label
Shared lines running both branded and private label products are sequenced to maximize throughput while respecting contractual SLA windows per customer.
1
Regulatory batch scheduling
Campaign-based scheduling respects batch record requirements, GMP constraints and cleanroom qualifications so every run is audit-ready from the start.
2
Equipment & resource conflicts
Validated equipment, qualified operators and specialized materials are matched automatically, eliminating conflicts that cause costly out-of-spec events.
3
Stability & shelf life control
Expiry dates on active ingredients are tracked against production windows to ensure finished goods always meet required remaining shelf life at delivery.
4
Clinical & commercial balancing
APS balances clinical trial supply alongside commercial production on the same lines, ensuring neither program is starved of capacity.
1
JIT sequencing
Production is sequenced to deliver parts to assembly lines at exactly the right time, eliminating buffer stock bloat and stoppages caused by shortages.
2
Changeover minimization
Machine changeovers are grouped by family (material, tooling, cavity) to reduce total setup time across high-mix stamping, machining and injection lines.
3
Multi-level BOM alignment
Sub-assembly and component schedules are cascaded automatically to stay aligned with vehicle assembly programs, avoiding mid-run material starvation.
4
Supplier constraint integration
Lead times, supplier capacity windows and inbound freight schedules are embedded in the plan so procurement and production stay synchronized.
1
SMT line optimization
Surface-mount programs are grouped by board family to reduce feeder changeovers on SMT lines, directly increasing throughput per shift.
2
Component shortage navigation
When components are constrained, APS reallocates production to boards that can be fully kitted, protecting the highest-priority customer orders.
3
NPI vs. volume balancing
Capacity is split intelligently between new product introduction builds and volume production, preventing NPI projects from cannibalizing revenue lines.
4
Test & burn-in scheduling
Functional test, flying probe and burn-in stations are scheduled as constrained resources so boards flow through without queuing at final quality gates.
1
Color sequencing
Injection and extrusion runs are sequenced from light to dark colors, slashing purge material waste and cleaning time between color transitions.
2
Mold & tooling scheduling
Mold qualification status, preventive maintenance windows and cavity counts are tracked so the right mold is always available for the right run.
3
Regrind & material reuse
Regrind availability from scrap feeds back into the planning engine so it can substitute virgin material where specs allow, reducing raw material cost.
4
Customer kanban management
Replenishment signals from customer kanban loops are automatically converted into planned orders, keeping supermarket shelves consistently stocked.
1
Nesting & material yield
Cutting and laser programs are nested to maximize sheet utilization, reducing offcut scrap and extending raw material purchasing intervals.
2
Bottleneck machine scheduling
Constraint machines (laser, press brake, welding cells) are identified and protected, with all upstream and downstream work sequenced around them.
3
Heat treatment batching
Parts requiring the same heat treatment cycle are batched together to fill furnace loads efficiently, reducing energy cost and turnaround time.
4
Custom order promising
Real-time capacity visibility enables accurate ATP dates on custom engineered orders, replacing guesswork with data-driven delivery commitments.
1
Color & style changeover logic
Dyeing and finishing runs are sequenced light-to-dark within style families, reducing dye-bath flushing cycles and chemical consumption.
2
Seasonal collection planning
APS synchronizes fabric sourcing lead times with collection launch dates, ensuring on-time delivery across all SKUs in a seasonal drop.
3
Cutting room optimization
Marker efficiency is maximized by grouping orders with similar size ratios into the same cutting spreads, reducing fabric waste per unit produced.
4
Multi-site capacity balancing
Work is dynamically distributed across owned factories, CMT partners and offshore contractors based on live capacity, lead time and cost targets.
1
Reactor campaign planning
Reactor campaigns are built around product family compatibility, minimizing residue cross-contamination and reducing solvent wash volumes between batches.
2
Hazmat & storage constraints
Storage compatibility rules (flammables, oxidizers, corrosives) are encoded so the APS never schedules conflicting materials into the same tank farm zone.
3
Recipe & yield optimization
Actual batch yield history feeds back into future planning, tightening the gap between theoretical and realized output for better procurement decisions.
4
Regulatory lot traceability
Each production lot is linked to raw material certificates of analysis, enabling one-click documentation for REACH, SDS and customer quality audits.
1
DHR compliance automation
Production sequences and resource assignments are logged automatically against each work order, generating the Device History Record required for FDA 21 CFR Part 820.
2
Sterile & non-sterile segregation
Cleanroom capacity tiers are modeled as separate constrained resources so sterile and non-sterile production never compete for the same validated space.
3
Lot genealogy & traceability
Component lot numbers are captured at each stage and linked to finished device serial numbers, enabling precise field-action scoping if a quality event occurs.
4
Clinical & distribution balancing
Hospital stocking programs, distributor consignment and clinical trial supply are planned in a single model so no channel is inadvertently starved of stock.
1
Heat & cast sequence optimization
The APS sequences heats through EAF, ladle furnace and continuous caster to minimize temperature losses, idle crane time and grade transition delays — protecting yield and energy cost per tonne.
2
Grade transition & contamination control
Transition heats between incompatible steel grades are planned and quantified in advance, reducing the number of downgraded or scrapped transition slabs that would otherwise hit margins.
3
Rolling mill campaign scheduling
Hot and cold rolling campaigns are built around width and thickness families, cutting roll change frequency and maximizing cobble-free runs on constrained mill stands.
4
Energy & demand charge management
Power-intensive operations (EAF tap-to-tap cycles, reheating furnaces) are scheduled to avoid simultaneous peaks, flattening the demand curve and reducing electricity tariff exposure.
1
Oven arm & carousel scheduling
Multi-arm carousel ovens are loaded to balance cycle times across arms, ensuring no arm idles while another runs hot — maximizing oven utilization per shift.
2
Color sequencing
Jobs are sequenced light-to-dark within each oven to avoid purge cycles, and mold families are grouped so operators spend less time on fixture changeovers.
3
Mold availability & maintenance tracking
Mold status, repair history and qualification records are embedded in the schedule so production is never committed to a mold that is out for maintenance or refurbishment.
4
Cooling & demold time as constraints
Cooling station capacity and demold crew availability are modeled as true scheduling constraints, preventing the common mistake of over-scheduling ovens when the downstream cooling loop is the real bottleneck.
1
Grade & basis weight campaign planning
Paper machine campaigns are built around grade families and basis weight sequences to minimize broke generation and wire/felt wear during transitions between incompatible products.
2
Pulp blending & fiber optimization
Fiber furnish recipes (virgin pulp, recycled fiber, broke) are optimized against quality targets and raw material costs in real time, adjusting the blend as pulp availability changes.
3
Reel, roll & finishing synchronization
Winder, sheeter and converting schedules are synchronized with the paper machine output so parent reels do not accumulate in storage waiting for a downstream slot — reducing handling damage and WIP.
4
Chemical & energy consumption planning
Bleaching chemicals, steam and water consumption are projected per campaign run, enabling procurement and utilities to stage supply in advance and avoid unplanned curtailments.
CORE CAPABILITIES
Built to solve what others can’t.
Six foundational pillars that separate Daice APS from every legacy planning system on the market.
Hybrid Intelligence
Combine advanced algorithms, linear programming, and artificial intelligence to handle any business complexity — without trade-offs between approaches.
Unattended Simulations
Configure hyperparameters once. The system automatically generates and compares all what-if scenarios — up to thousands per minute — while you focus on decisions.
Autonomous Scheduling
Out-of-the-box rules that automatically reschedule and adapt to real-time shop floor events. Your production plan stays live, not stale.
High Configurability
Zero-code customization for complex workflows. Reduce implementation time and costs dramatically without sacrificing depth or flexibility.
Flexible Architecture
API-first for automation, web app for collaboration, or GPU-powered desktop for maximum performance. One engine, three interfaces for every context.
Artificial Intelligence
A dedicated chatbot lets you interact with your production plan in natural language — execute actions, query insights, and orchestrate multiple agents from a single prompt.
COST IMPACT
72 cost drivers. 14 categories. One Solution.
We’ve mapped every measurable cost inefficiency in manufacturing and organized them into 14 groups — each fully or partially mitigated by Daice APS.
Inventory & Working Capital
Expediting & Firefighting
Overtime & Labor Inefficiency
Capacity Waste
Changeover & Setup Losses
Scrap & Quality Losses
Customer Penalties
Revenue & Opportunity Loss
Planning & Control Labor
IT & Process Inefficiency
Supplier Disruption
Energy
Compliance & Regulatory Risk
Organizational
AI AGENTS
Four agents. One unified Brain.
Born in the AI era, each agent is purpose-built for a distinct role in your planning ecosystem — and they work together.
The Planner
Executes planning & scheduling actions — workflows, pegging rules, drag-and-drop interactions, optimizations, and simulations with full application logic.
The Advisor
Evaluates your current production plan with KPIs and insights, recommends actions, and applies best practices to continuously improve performance.
The Editor
Controls shop floor parameters — work shifts, resource calendars, headcount, capacity levels, efficiencies, and constraint values in real time.
The Architect
An integrator’s dream. Configures the system to meet any customer requirement — actions, resources, constraints, shifts, and scheduling rules without code.
PROVEN RESULTS
Real outcomes, Real Factories.
Not projections — actual improvements delivered to manufacturing operations using APS systems.
+15%
Shop floor productivity improvement achieved through optimized scheduling and resource allocation.
−40%
Inventory levels reduced while maintaining the same or better service levels to customers.
−50%
Work in progress reduced through smarter sequencing and flow optimization across operations.
98%
On-time delivery performance reached — consistently, at scale, across high-complexity environments.
+25%
Throughput increase without adding new equipment — unlocked through better planning intelligence.
+18%
Line performance increased through operational enhancements
+25%
Throughput boosted without additional new equipment
Zero
Delivery delays reported while managing record workload volumes
SOLUTION PREVIEWS
A few quick demos for a preview.
Unattended simulations
64 scenarios generated and compared in 8 seconds — 480 what-ifs per minute — fully automatically across operators, assistants, and overtime combinations.
AI agent orchestration
Four AI agents working in concert from a single prompt. See how Daice APS understands complex requests and orchestrates actions across planning, advising, editing, and configuration.
Flexible plan manipulation
Search data, adjust schedules, and create orders through an intuitive interface. Daice APS takes plan and schedule manipulation to the next level with powerful, user-friendly controls.
DEPLOYMENT
Run it your way.
Any public cloud, private cloud, or on-premises. Or use Daice Cloud — fully managed and ready to go.
01 API LAYER
Built for Automation
Full control through code. Perfect for fully autonomous planning & scheduling pipelines with zero user intervention required.
02 WEB APPLICATION
Built for Collaboration
Secure, browser-based access from anywhere. Designed for teams that need to work together across locations and time zones.
03 DESKTOP APPLICATION
Built for Performance
Multi-threaded, GPU-accelerated client for the most data-intensive environments. Maximum responsiveness for complex, real-time decisions.
OPTMIZATION ENGINE
Multiple solvers. Unlimited power.
Use the right solver for each problem — or combine them within a single workflow for results no single solver can achieve alone.
Commercial
GUROBI
High performance for large-scale, complex problems
Open Source
CBC
Reliable and flexible for a broad range of models
Research Grade
SCIP
Ideal for highly complex, constraint-heavy problems
GPU Accelerated
cuOPT
Real-time optimization powered by NVIDIA GPU acceleration
INTEGRATION
Connect to any system.
Our integration module connects Daice APS to any on-premises or cloud platform.
OBDC
REST API
SAP RFC
OData
Flat Files
Database Drivers
Web Services
Excel Files
HTTP
OTHER DIFFERENTIALS
More reasons to choose Daice APS.
Novel technology
New, modern, and secure. Designed from the ground up to be configurable, customisable, and scalable.
Feature rich
Complete and rich in unique features that automate production planning and scheduling tasks.
Performance
Unmatched processing performance in the market, built for demanding, data-intensive environments.
Faster deployment
Reduced implementation time, eliminating or minimising the need for code-based customisations.
Competitive cost
Competitive upfront investment and total cost of ownership across the full solution lifecycle. The best for less.
User friendly
Simple and intuitive interface with standard and customisable themes to suit any team or workflow.
PLANNING & SCHEDULING
Seamlessly combined.
From high-level S&OP demand plans to minute-by-minute shop floor schedules — one unified system, always in sync.
Ready to see it in action? Contact us today for a live demo of Daice APS.