Research output per year
Research output per year
C. I. Papanagnou, G. D. Halikias
Research output: Contribution to journal › Article › peer-review
A novel state-space model of a multi-node supply chain is presented, controlled via local proportional inventory-replenishment policies. The model is driven by a stochastic sequence representing customer demand. The model is analysed under stationarity conditions and a simple recursive scheme is developed for updating its covariance matrix. This allows us to characterise the 'bullwhip effect' (demand amplification) in the chain and to solve an optimisation problem for a three-node model involving the minimisation of inventory subject to a probabilistic constraint on downstream demand. Finally, issues related to estimation schemes based on local historical data are briefly discussed.
Original language | English |
---|---|
Pages (from-to) | 699-711 |
Number of pages | 13 |
Journal | International Journal of Systems Science |
Volume | 39 |
Issue number | 7 |
Early online date | 19 May 2008 |
DOIs | |
Publication status | Published - Jul 2008 |
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review