Bounded growth of the bullwhip effect under a class of nonlinear ordering policies

Zhaodong Wang, Xin Wang, Yanfeng Ouyang

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Pages (from-to)72-82
Number of pages11
JournalEuropean Journal of Operational Research
Volume247
Issue number1
DOIs
StatePublished - Nov 16 2015

Keywords

  • Bullwhip effect
  • Describing function
  • Frequency domain analysis
  • Nonlinear
  • Order-up-to

ASJC Scopus subject areas

  • Computer Science(all)
  • Modeling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management

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