Value Chain & Operations

Layout and Flow Optimization

Reconfigure facility layout and material flow to improve throughput, safety and productivity

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How

SHAiPE: the LTPlabs framework

Set the Decision
- Define the flow objective
  throughput, service, waiting time, productivity
- Clarify the decision level
  site, area, queue, service point, route, shift
- Set the redesign scope
  layout, routing, staffing, capacity, service-point configuration
Highlight what matters
- Align on strategic metrics
  throughput, wait time, congestion, utilization, labor productivity
- Map the current operation and flow
  people, materials, queues, bottlenecks, decoupling points
- Define business and operational constraints
  space, labor, equipment, safety, service rules, workload patterns
Augment with AI
- Combine flow, demand, and operational data to build a digital twin and simulate and optimize the best layout, routing, and resource configuration
- Prescribe the setup that delivers the best trade-off across throughput, service, productivity, and operational feasibility
- Data
  Demand patterns
  Flow and queue data
  Resource availability
  Operational constraints
  AI Model
  Simulation
  Digital Twin
  Optimization
  Results
  Best configurations
  Capacity / staffing levels
  Expected impact
Prototype your solution
- Deliver a digital twin and optimization engine to compare scenarios and test alternatives
- Run a practical pilot to evaluate recommendations in a real operating setting
Expand to scale
- Plan the implementation of the proposed solution, that can vary from short-term micro-layout adjustments to a strategic transformational operational roadmap
- Establish governance and monitoring metrics to follow up on the success of the recommendations, triggering eventual needs for an adjustment of the initial proposal (due to conditions update)

Nutshell

What this means for your business

25%

in warehouse operation costs 

faster to generate and evaluate layout and flow scenarios

Higher throughput through flow decisions adapted to physical constrains
Lower congestion, waiting times, and movement waste across operations
Better productivity and resource utilization by layout and staffing optimization
Scalable decisions that adapt to sites, markets, and operating contexts

Insights