Abstract
Inventory replenishment practices play significant role in supply chain networks and they are strongly associated with overall supply chain performance. This paper presents a state-space model of a stochastic series multi-node supply chain, controlled via local proportional-integral inventory replenishment policies. The model is triggered by identically distributed and uncorrelated random variables which represent uncertain customer demand. The proposed model is analyzed under stationarity, provided that control parameters belong to a certain range which is clearly specified. Simple recursive techniques are developed to calculate explicitly the associated covariance matrix in closed parametric form. This allows to analyze the effect of control parameters in the inventory practices on the bullwhip effect. It is shown that proportional-integral replenishment practices can be applied to explain in qualitative terms the main performance and stability properties of supply chains.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management |
| Pages | 558-562 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 8 Jan 2010 |
| Event | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China Duration: 8 Dec 2009 → 11 Dec 2009 |
Publication series
| Name | IEEM Proceedings |
|---|---|
| Publisher | IEEE |
Conference
| Conference | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 8/12/09 → 11/12/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Bullwhip effect
- Control theory
- Covariance matrix
- Inventory control
- Supply chain management
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