Abstract
The bullwhip effect has been studied extensively by researchers using analytical and empirical models based on a single product. We extend the current theory to provide insights for a firm that manufactures multiple products in a single product category with interdependent demand streams. We find that interdependency between demand streams plays a critical role in determining the existence and magnitude of the bullwhip effect. More importantly, we show that interdependency impacts whether the firm should manage ordering and inventory decisions at the category level or at the product level, and whether the bullwhip effect measure computed at the category level is informative or not.
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Notes
- 1.
See Wang and Disney (2016) for a comprehensive review of the bullwhip effect literature.
- 2.
There is extensive literature on aggregate and individual product-level forecasting, commonly known as top-down and bottom-up forecasting, in the operations management literature (e.g., Sbrana and Silvestrini 2013, Chen and Blue 2010 are some recent studies that compare the forecast accuracy of top-down and bottom-up approaches).
- 3.
- 4.
While we do not have firm-level data to test whether the VAR(1) model fits brand demand streams, an examination of the data contained in the Compustat database shows that the VAR(1) model provides a statistically significant fit for the cost of goods sold (a widely used proxy for demand in the bullwhip effect literature) of firms within an industry. Furthermore, Chen and Blue (2010) gave an example of a semiconductor manufacturer where the VAR(1) model is appropriate to model the demand data of two product variants.
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Raghunathan, S., Tang, C.S., Yue, X. (2019). Bullwhip Effect of Multiple Products with Interdependent Product Demands. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. https://doi.org/10.1007/978-3-030-14302-2_7
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