Supply Chain Analysis and Design
Meeting customer demands and improving internal manufacturing operations
requires that your supply chain be both lean and robust. This means that your
company must rapidly improve supply chain operations. Supply chain analysis and
design provides big paybacks
Technical Assist uses a four step methodology for supply chain
optimization. This provides an optimal design wile considering real-world
demand and timing variations. Using state-of-the-art technology allows us
to develop an analysis accurately predicts performance. And these tools
allow the analysis data to be refreshed periodically for 'tune-ups' to
your supply chain.
Benefits:
- Predict Customer Service, Cost and Inventory Levels.
- Determine the effects of Time and Randomness on your supply chain.
- Reduce inventory and transportation costs while improving customer service
levels.
- Determine the effects of changing your supply chain structure or policy.
- Calculate inventory levels and availability to optimize inventory
policies.
- Predict inventory investment, transportation costs, and manufacturing
utilization for corporate budgeting functions.
Four Step Process:
Step 1: Network Optimization
Linear/Mixed Integer Programming or Spreadsheet analysis used for Modeling
and Solving
Step 2: Network Simulation
Discrete Event Simulation used for highly accurate prediction
Step 3: Policy Optimization
Simulation-Optimization, genetic algorithms applied to automatically search
for improvements to the model
Step 4: Design for Robustness
The objective of Design for Robustness is to ensure the supply chain design
and policy plans support what MIGHT happen, not just what we think WILL happen.
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