Selected References
MasterScheduler
used day by day.
MasterScheduler is in daily operative use in many scenarios due to its flexible modeling and adaptability. Find out which use cases are already in use and get an idea of whether your planning situation could also benefit significantly from improved planning through the use of technology.
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Transportplanning
Intershuttle high-frequency
transport planning
Baseline
- Time slots and high frequency hourly transports
- Production-based outbound planning for source plant
- Truck utilization upgrade potential
- Blurred data resolution for weekly orders
- Heuristic reach-based planning
Approach
- Custom planning constraints based on current stock and orders
- Coarse and fine-granular planning for weekly and daily detailed scheduling
- Predictive material flows for expected material in stock behavior
- Time-slot based reach lists based on data-driven full picture
Benefit
- 1 digit savings for a huge number of trucks
- Optimized reach coverage at destination source
- Realtime reach and transport view instead of blurred, daily snapshots
Optimized Delivery Schedules OEM
Baseline
- Well organized transport network
- Fluctuation in demands
- No manual optimization of FTLs
Approach
- MasterScheduler with custom constraints for various different setups of supplier groups
- Shifted demands for full coverage
- Mixed milkrun vs FTL tactical planning
- High lead-time full container load optimization
- Dashboard warehouse user roles for incoming transport and ressource assignment
- Interface to ERP: QAD
- PDF pickup sheets send by EDI
Benefit
- 2 digit savings
- Standardized planning process
- Structured transport overview dashboards
- Control of supplier reliability
Optimized Delivery Schedules
Tier-1 Germany
Baseline
- Well organized transport network
- Fluctuation in demands
- No manual optimization of FTLs
Approach
- MasterScheduler with custom constraints for various different setups of supplier groups
- Shifted demands for full coverage
- Mixed milkrun vs FTL tactical planning
- High lead-time full container load optimization
- Dashboard warehouse user roles for incoming transport and ressource assignment
- Interface to ERP: QAD
- PDF pickup sheets send by EDI
Benefit
- 2 digit savings
- Standardized planning process
- Structured transport overview dashboards
- Control of supplier reliability
FTL / Millkrun planner for Tier-1 in Germany
Baseline
- Specific packaging rules and constraints are a pain point in manual Excel planning
- Huge unused potential due to only average milkrun planning methods.
Approach
- Tactical and operational transport planning with MasterScheduler for whole supplier network
- Tailor-made packaging constraints
- Simple milkrun control vs FTL rules for optimized allocation and decision making
- SAP integration and scheduling automation
Benefit
- 2 digit savings
- Standardized planning tool
- Optimal milkrun supplier utilization in synergy
Duvenbeck: FTL/LTL Planner
Baseline
- Manual non-efficient transportation planning and ordering leads to high transportation costs and half-empty trucks
- Weight and volume constraints in combination with FTL and LTL tariffs are hard to optimize for human planners
- Storage and capital constraints make the problem even more challenging
- Contracts allow the OEM limited changes in demands even for the tactical planning horizon
Approach
- Mathematical modelling of the inventory and transportation problem
- Focus on full truck load first
- ERP system as single source of truth
- Optimization tool as an external addon
- Results are fed back into the ERP system
- Development of a customized optimization algorithm tailored to customer-specific constraints
- Stochastic demand model in combination with robust optimization
- Expansion to further sites and transportation modes
Benefit
- Truck utilization increased from 70-90% to >98.5%
- Expected yearly savings: 5-figure EUR sum per site
- Additional consolidation effects when integrating multiple sites
_02
Supply Chain
Optimization of Textile Warehouse
Baseline
- Deployment of a fully automated warehouse in Spain
- Throughput not high enough to fulfil promises contained in contracts with client
- Danger of high contractual penalty
Approach
- Analysis of the picking process
- Mathematical model containing the key influencing factors on throughput
- Development of PoC for single order picking station
- Improvement of basic picking algorithm (from PoC) through analytics-based order partitioning
- Development of C++ code integrated in warehouse automation system
Benefit
- Contractual penalty could be avoided
- Fully advanced picking algorithm gives 20% improvement over base version through analytics-based task partitioning
- Fully automated warehouse with efficient picking order computed on the fly by the warehouse automation system