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Improving Forecasting.pdf

Nicklin_BA_BMS.pdf
Preview of Improving Forecasting
🔗 Source: essay.utwente.nl
📊 Size: 2.04 MB
👤 Author: Jonathan Nicklin
⬇️ Downloads: 90

Summary

Improving forecasting using imperfect advanced demand information is crucial for companies with long lead times. A systematic combination of advanced demand information and time series forecasting methods can improve forecast efficiency and maintain a high service level. Empirical studies show that using advanced demand information performs better when the penalty for unmet demand is high, while time series forecasting methods outperform when surplus stock costs are high. The most accurate method combines suitable time series forecasts and advanced demand information. Companies focusing on service level should use advanced demand information to forecast demand, and combining multiple inputs can create more effective forecasting methods.

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Description

Improving forecasting using imperfect advanced demand information is crucial for companies with long lead times.

Technical Information

  • File Format: PDF
  • File Size: 2.04 MB
  • Pages: 58
  • Language: EN
  • Author: Jonathan Nicklin
  • Total Downloads: 90
  • Last Updated: 4 weeks ago

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This PDF document about Improving Forecasting provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Improving Forecasting.

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