### Abstract

Original language | English |
---|---|

Place of Publication | Tilburg |

Publisher | Operations research |

Number of pages | 19 |

Volume | 2006-90 |

Publication status | Published - 2006 |

### Publication series

Name | CentER Discussion Paper |
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Volume | 2006-90 |

### Fingerprint

### Keywords

- Unknown Demand Parameters
- Inventory Control
- Normal Distribution
- Service Level Criterion

### Cite this

*Assessing the Effects of using Demand Parameters Estimates in Inventory Control*. (CentER Discussion Paper; Vol. 2006-90). Tilburg: Operations research.

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**Assessing the Effects of using Demand Parameters Estimates in Inventory Control.** / Janssen, E.; Strijbosch, L.W.G.; Brekelmans, R.C.M.

Research output: Working paper › Discussion paper › Other research output

TY - UNPB

T1 - Assessing the Effects of using Demand Parameters Estimates in Inventory Control

AU - Janssen, E.

AU - Strijbosch, L.W.G.

AU - Brekelmans, R.C.M.

N1 - Subsequently published in International Journal of Production Economics, 2009 Pagination: 19

PY - 2006

Y1 - 2006

N2 - Inventory models need some specification of the distribution of demand in order to find the optimal order-up-to level or reorder point.This distribution is unknown in real life and there are several solutions to overcome this problem.One approach is to assume a distribution, estimate its parameters and replace the unknown demand parameters by these estimates in the theoretically correct model.Earlier research suggests that this approach will lead to underperformance, even if the true demand distribution is indeed the assumed one.This paper directs the cause of the underperformance and quantifies it in case of normally distributed demand.Furthermore the formulae for the order-up-to levels are corrected analytically where possible and otherwise by use of simulation and linear regression.Simulation shows that these corrections improve the attained performance.

AB - Inventory models need some specification of the distribution of demand in order to find the optimal order-up-to level or reorder point.This distribution is unknown in real life and there are several solutions to overcome this problem.One approach is to assume a distribution, estimate its parameters and replace the unknown demand parameters by these estimates in the theoretically correct model.Earlier research suggests that this approach will lead to underperformance, even if the true demand distribution is indeed the assumed one.This paper directs the cause of the underperformance and quantifies it in case of normally distributed demand.Furthermore the formulae for the order-up-to levels are corrected analytically where possible and otherwise by use of simulation and linear regression.Simulation shows that these corrections improve the attained performance.

KW - Unknown Demand Parameters

KW - Inventory Control

KW - Normal Distribution

KW - Service Level Criterion

M3 - Discussion paper

VL - 2006-90

T3 - CentER Discussion Paper

BT - Assessing the Effects of using Demand Parameters Estimates in Inventory Control

PB - Operations research

CY - Tilburg

ER -