Although unavailability and failure frequency are important reliability measures for designing telecommunications networks, having two different reliability measures causes difficulties when their evaluation results contradict each other. To overcome this difficulty, for determining a single reliability measure is proposed. Market share, which is an important management index, was used and the effect of each reliability measure on this index was studied. If we the effect of one of the reliability measures is small enough to be ignored, then the other one is chosen as the single reliability measure. The procedure of the proposed statistical analysis method and test results suggesting that failure frequency is promising as a single reliability measure are discussed.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Masahiro HAYASHI, "Effects of Reliability Measures on Market Share" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 10, pp. 2043-2047, October 2011, doi: 10.1587/transfun.E94.A.2043.
Abstract: Although unavailability and failure frequency are important reliability measures for designing telecommunications networks, having two different reliability measures causes difficulties when their evaluation results contradict each other. To overcome this difficulty, for determining a single reliability measure is proposed. Market share, which is an important management index, was used and the effect of each reliability measure on this index was studied. If we the effect of one of the reliability measures is small enough to be ignored, then the other one is chosen as the single reliability measure. The procedure of the proposed statistical analysis method and test results suggesting that failure frequency is promising as a single reliability measure are discussed.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.2043/_p
Copy
@ARTICLE{e94-a_10_2043,
author={Masahiro HAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Effects of Reliability Measures on Market Share},
year={2011},
volume={E94-A},
number={10},
pages={2043-2047},
abstract={Although unavailability and failure frequency are important reliability measures for designing telecommunications networks, having two different reliability measures causes difficulties when their evaluation results contradict each other. To overcome this difficulty, for determining a single reliability measure is proposed. Market share, which is an important management index, was used and the effect of each reliability measure on this index was studied. If we the effect of one of the reliability measures is small enough to be ignored, then the other one is chosen as the single reliability measure. The procedure of the proposed statistical analysis method and test results suggesting that failure frequency is promising as a single reliability measure are discussed.},
keywords={},
doi={10.1587/transfun.E94.A.2043},
ISSN={1745-1337},
month={October},}
Copy
TY - JOUR
TI - Effects of Reliability Measures on Market Share
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2043
EP - 2047
AU - Masahiro HAYASHI
PY - 2011
DO - 10.1587/transfun.E94.A.2043
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2011
AB - Although unavailability and failure frequency are important reliability measures for designing telecommunications networks, having two different reliability measures causes difficulties when their evaluation results contradict each other. To overcome this difficulty, for determining a single reliability measure is proposed. Market share, which is an important management index, was used and the effect of each reliability measure on this index was studied. If we the effect of one of the reliability measures is small enough to be ignored, then the other one is chosen as the single reliability measure. The procedure of the proposed statistical analysis method and test results suggesting that failure frequency is promising as a single reliability measure are discussed.
ER -