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Moment-based approach for some age-based replacement problems

Hiroyuki Okamura, Tadashi Dohi (Taylor and Francis, 2017)

 Abstrak

In this paper we develop statistical inference approaches for three age replacement policies; classical age replacement, opportunity-based age replacement first and opportunity-based age replacement last, when the failure time distribution of an item is unknown. More specifically, we utilize the sample moments of the failure time distribution and estimate the optimal age replacement times for three problems above. Further, we derive the upper and lower bounds of the expected cost functions per unit time for respective age-based replacement problems, under the assumption that the failure time has an arbitrary IFR (increasing failure rate) distribution function with finite moments. Finally, we investigate the inference performance of our moment-based approaches in numerical examples, and the applicability of them under the partial information on the failure time distribution.

 Metadata

No. Panggil : 658 JIPE 34:1 (2017)
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : London: Taylor and Francis, 2017
Sumber Pengatalogan : LibUI eng rda
ISSN : 21681015
Majalah/Jurnal : JIPE
Volume : Vol. 34, No. 8 Desember 2017: Hal. 558-567
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
  • Ketersediaan
  • Ulasan
No. Panggil No. Barkod Ketersediaan
658 JIPE 34:1 (2017) 03-18-208966598 TERSEDIA
Ulasan:
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