Value Chain & Operations

Operational scheduling

Generate fast production schedules that incorporate constrains, while adapting to shopfloor events

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How

SHAiPE: the LTPlabs framework

Set the Decision
- Define the scheduling objective
  service, throughput, utilization, cost
- Clarify the decision level
  shift, line, plant, team, route
- Set the scheduling scope
  jobs, tasks, orders, people, machines
Highlight what matters
- Align on operational targets
  service level, leadtime, utilization, productivity, adherence
- Map the current scheduling process
  rules, manual interventions, bottlenecks
- Define business rules and operational constraints
  resource capacity, setup times, due dates, production dependencies
Augment with AI
- Combine demand, capacity, and operational data to optimize schedules under real-world constraints
- Data
  Demand & workload
  Capacity and resources
  Operational constraints
  Execution history
  AI Model
  Results
  Optimized scheduling
  Order service level
  Resource allocation/OEE
  Resource allocation/OEE
- Prescribe the schedule that delivers the best trade-off across service, efficiency, utilization, and feasibility
Prototype your solution
- Deliver a scheduling engine to generate and compare scheduling decisions
- Run a practical pilot to validate schedules in a real operating setting
- Deploy faster way of rescheduling to incorporate intra-day operational deviations (supplier non-delivery, machine failure, etc.)
Expand to scale
- Integrate the solution into ERP and MES
- Train planning teams to maximize adoption and production teams to maximize plan adherence
- Establish governance and review routines as demand and constraints evolve

Nutshell

What this means for your business

15%

cost reduction in setups and optimized resource allocation

Higher service and on-time execution through schedules aligned with real demand and constraints
Better resource utilization across teams, assets, and capacity
Lower delays, idle time, and bottlenecks through smarter sequencing and allocation
Faster operational decisions that adapt to daily changes and disruptions

Insights