Abstract
This paper analyzes the bullwhip effect in multi-echelon supply chains under a general class of nonlinear ordering policies. A describing-function approach from control theory is used to derive closed-form formulas to predict amplification of order fluctuations along the supply chain. It is proven that with consideration of nonlinearity in the ordering policy, the magnitude of the bullwhip effect will eventually become bounded after growing through the first few stages of the supply chain. It is also proven that the average customer demand as well as the demand fluctuation frequency would directly affect the bounded magnitude, while the suppliers' demand forecasting method has no effect at all. For illustration, analytical results for a class of order-up-to policies are derived and verified by numerical simulations. The proposed modeling framework holds the promise to not only explain empirical observations, but also serve as the basis for developing counteracting strategies against the bullwhip effect.
Original language | English (US) |
---|---|
Pages (from-to) | 72-82 |
Number of pages | 11 |
Journal | European Journal of Operational Research |
Volume | 247 |
Issue number | 1 |
DOIs | |
State | Published - Nov 16 2015 |
Keywords
- Bullwhip effect
- Describing function
- Frequency domain analysis
- Nonlinear
- Order-up-to
ASJC Scopus subject areas
- General Computer Science
- Modeling and Simulation
- Management Science and Operations Research
- Information Systems and Management