### Abstract

This paper focuses upon the optimal repairing rules of public systems under demand uncertainty. An optimal impulse control model is formulated to determine the optimal sequence of impulse timing and the recovery policy to minimize the present values of expected life cycle costs. The optimal repairing rules can be formulated as a set of adaptive state-dependent rules. The repairing rules can be applied based upon updated observations about service levels of systems. A numerical example illustrates how adaptive rules can be calculated in a given demand environment.

Original language | English |
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Pages (from-to) | 560-565 |

Number of pages | 6 |

Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |

Volume | 1 |

Publication status | Published - 2000 Dec 1 |

Externally published | Yes |

Event | 2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA Duration: 2000 Oct 8 → 2000 Oct 11 |

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### ASJC Scopus subject areas

- Hardware and Architecture
- Control and Systems Engineering

### Cite this

*Proceedings of the IEEE International Conference on Systems, Man and Cybernetics*,

*1*, 560-565.

**Optimal repairing rules under demand risk.** / Kobayashi, Kiyoshi; Kurino, Morimitsu.

Research output: Contribution to journal › Conference article

*Proceedings of the IEEE International Conference on Systems, Man and Cybernetics*, vol. 1, pp. 560-565.

}

TY - JOUR

T1 - Optimal repairing rules under demand risk

AU - Kobayashi, Kiyoshi

AU - Kurino, Morimitsu

PY - 2000/12/1

Y1 - 2000/12/1

N2 - This paper focuses upon the optimal repairing rules of public systems under demand uncertainty. An optimal impulse control model is formulated to determine the optimal sequence of impulse timing and the recovery policy to minimize the present values of expected life cycle costs. The optimal repairing rules can be formulated as a set of adaptive state-dependent rules. The repairing rules can be applied based upon updated observations about service levels of systems. A numerical example illustrates how adaptive rules can be calculated in a given demand environment.

AB - This paper focuses upon the optimal repairing rules of public systems under demand uncertainty. An optimal impulse control model is formulated to determine the optimal sequence of impulse timing and the recovery policy to minimize the present values of expected life cycle costs. The optimal repairing rules can be formulated as a set of adaptive state-dependent rules. The repairing rules can be applied based upon updated observations about service levels of systems. A numerical example illustrates how adaptive rules can be calculated in a given demand environment.

UR - http://www.scopus.com/inward/record.url?scp=0034498318&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034498318&partnerID=8YFLogxK

M3 - Conference article

VL - 1

SP - 560

EP - 565

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SN - 0884-3627

ER -