Research Article
Analysis of the Impact of Different Forecasting Techniques on the Inventory Bullwhip Effect in Two Parallel Supply Chains with a Competition Effect
Table 1
Relevant parameters and explanations.
| Parameters | Explanations |
| | Retailer-one (R1) potential market demand | | Retailer-two (R2) potential market demand | | R1 self-price sensitivity coefficient | | R1 cross-price sensitivity coefficient | | R2 self-price sensitivity coefficient | | R2 cross-price sensitivity coefficient | | The probabilities that customers will choose R1’s product | | The probabilities for customers choosing R2’s product | | R1 price autoregressive coefficient | | R2 price autoregressive coefficient | | The expectation of | | The expectation of | | The variance of | | The variance of | | The expectation of | | The expectation of | | The variance of | | The variance of | | R1 order quantity | | R2 order quantity | | R1 lead time | | R2 lead time | | The estimate of the standard deviation of the period forecast error of R1 | | The estimate of the standard deviation of the period forecast error of R2 | | R1 mean lead-time demand | | R2 mean lead-time demand | | R1 inventory level | | R2 inventory level | | Smoothing constant | k | The moving average period |
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