## Abstract

We consider production/clearing models where random demand for a product is generated by customers (e.g., retailers) who arrive according to a compound Poisson process. The product is produced uniformly and continuously and added to the buffer to meet future demands. Allowing to operate the system without a clearing policy may result in high inventory holding costs. Thus, in order to minimize the average cost for the system we introduce two different clearing policies (continuous and sporadic review) and consider two different issuing policies ("all-or-some" and "all-or-none") giving rise to four distinct production/clearing models. We use tools from level crossing theory and establish integral equations representing the stationary distribution of the buffer's content level. We solve the integral equations to obtain the stationary distributions and develop the average cost objective functions involving holding, shortage and clearing costs for each model. We then compute the optimal value of the decision variables that minimize the objective functions. We present numerical examples for each of the four models and compare the behaviour of different solutions.

Original language | English |
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Pages (from-to) | 203-224 |

Number of pages | 22 |

Journal | Methodology and Computing in Applied Probability |

Volume | 7 |

Issue number | 2 |

DOIs | |

State | Published - Jun 2005 |

### Bibliographical note

Funding Information:Research supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).

## Keywords

- Clearing policies
- Optimization
- Stationary distributions

## ASJC Scopus subject areas

- Statistics and Probability
- General Mathematics