Datasets
Standard Dataset
Demand, Forecast series and OUT, Tukey Results
- Citation Author(s):
-
AlperSarıcıoğlu
- Submitted by:
- Alper Saricioglu
- Last updated:
- Sun, 09/29/2024 - 06:41
- DOI:
- 10.21227/gfn4-f231
- Data Format:
- License:
100 Views- Categories:
- Keywords:
Abstract
This dataset includes generated demand series, forecasts, forecast errors, and simulation results for the manuscript "Assessing the Effect of One-Step and Multi-Step Forecasting on Bullwhip Effect and Supply Chain Performance." Autoregressive demand series were generated using varying parameters, specifically based on an AR(1) demand process. Additionally, the M5 series, derived from Walmart, one of the world’s largest retailers, captures actual sales data from Walmart stores across the United States and is included as real-world data. A state-level subset of the M5 competition series without intermittency was added. Various forecasting methods were selected to evaluate their effectiveness in predicting demand and mitigating supply chain variability comprehensively.
Demand
- AR(1)_Seasonality.xlsx
- AR(1).xlsx
- M5_Subset.xlsx
Forecasts and Errors
- Forecasts_with_errors_ar1_seasonality.xlsx
- Forecasts_with_errors_ar1.xlsx
- Forecasts_with_errors_m5_series.xlsx
OUT Results
- OUT Results_AR(1).xlsx
- OUT Results_M5.xlsx
Tukey Results
- Tukey Results_AR(1).xlsx
- Tukey Results_M5.xlsx
