Optimal replacement policy for obsolete components with general failure rates

Identical components are considered, which become obsolete once new‐type ones are available, more reliable and less energy consuming. We envision different possible replacement strategies for the old‐type components by the new‐type ones: either purely preventive, where all old‐type components are re...

Full description

Saved in:
Bibliographic Details
Published inApplied stochastic models in business and industry Vol. 24; no. 3; pp. 221 - 235
Main Author Mercier, Sophie
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 01.05.2008
Wiley
Subjects
cost-based optimization
order statistics
preventive maintenance
renewal function
technological obsolescence
Online AccessGet full text
ISSN1524-1904
1526-4025
DOI10.1002/asmb.706

Cover

Abstract Identical components are considered, which become obsolete once new‐type ones are available, more reliable and less energy consuming. We envision different possible replacement strategies for the old‐type components by the new‐type ones: either purely preventive, where all old‐type components are replaced as soon as the new‐type ones are available; either purely corrective, where the old‐type ones are replaced by new‐type ones only at failure; or a mixture of both strategies, where the old‐type ones are first replaced at failure by new‐type ones and next simultaneously preventively replaced after a fixed number of failed old‐type components. To evaluate the respective value of each possible strategy, a cost function is considered, which represents the mean total cost on some finite time interval [0, t]. This function takes into account replacement costs, with economical dependence between simultaneous replacements, and also some energy consumption (and/or production) cost, with a constant rate per unit time. A full analytical expression is provided for the cost function induced by each possible replacement strategy. The optimal strategy is derived in long‐time run. Numerical experiments conclude the paper. Copyright © 2008 John Wiley & Sons, Ltd.
AbstractList Identical components are considered, which become obsolete once new‐type ones are available, more reliable and less energy consuming. We envision different possible replacement strategies for the old‐type components by the new‐type ones: either purely preventive, where all old‐type components are replaced as soon as the new‐type ones are available; either purely corrective, where the old‐type ones are replaced by new‐type ones only at failure; or a mixture of both strategies, where the old‐type ones are first replaced at failure by new‐type ones and next simultaneously preventively replaced after a fixed number of failed old‐type components. To evaluate the respective value of each possible strategy, a cost function is considered, which represents the mean total cost on some finite time interval [0, t ]. This function takes into account replacement costs, with economical dependence between simultaneous replacements, and also some energy consumption (and/or production) cost, with a constant rate per unit time. A full analytical expression is provided for the cost function induced by each possible replacement strategy. The optimal strategy is derived in long‐time run. Numerical experiments conclude the paper. Copyright © 2008 John Wiley & Sons, Ltd.
Identical components are considered, which become obsolete once new-type ones are available, more reliable and less energy consuming. We envision different possible replacement strategies for the old-type components by the new-type ones: either purely preventive, where all old-type components are replaced as soon as the new-type ones are available; either purely corrective, where the old-type ones are replaced by new-type ones only at failure; or a mixture of both strategies, where the old-type ones are first replaced at failure by new-type ones and next simultaneously preventively replaced after a fixed number of failed old-type components. To evaluate the respective value of each possible strategy, a cost function is considered, which represents the mean total cost on some finite time interval [0, t]. This function takes into account replacement costs, with economical dependence between simultaneous replacements, and also some energy consumption (and/or production) cost, with a constant rate per unit time. A full analytical expression is provided for the cost function induced by each possible replacement strategy. The optimal strategy is derived in long-time run. Numerical experiments conclude the paper. Copyright (C) 2008 John Wiley & Sons, Ltd.
Identical components are considered, which become obsolete once new-type ones are available, more reliable and less energy consuming. We envision different possible replacement strategies for the old-type components by the new-type ones: either purely preventive, where all old-type components are replaced as soon as the new-type ones are available; either purely corrective, where the old-type ones are replaced by new-type ones only at failure; or a mixture of both strategies, where the old-type ones are first replaced at failure by new-type ones and next simultaneously preventively replaced after a fixed number of failed old-type components. To evaluate the respective value of each possible strategy, a cost function is considered, which represents the mean total cost on some finite time interval [0, t]. This function takes into account replacement costs, with economical dependence between simultaneous replacements, and also some energy consumption (and/or production) cost, with a constant rate per unit time. A full analytical expression is provided for the cost function induced by each possible replacement strategy. The optimal strategy is derived in long-time run. Numerical experiments conclude the paper.
Identical components are considered, which become obsolete once new‐type ones are available, more reliable and less energy consuming. We envision different possible replacement strategies for the old‐type components by the new‐type ones: either purely preventive, where all old‐type components are replaced as soon as the new‐type ones are available; either purely corrective, where the old‐type ones are replaced by new‐type ones only at failure; or a mixture of both strategies, where the old‐type ones are first replaced at failure by new‐type ones and next simultaneously preventively replaced after a fixed number of failed old‐type components. To evaluate the respective value of each possible strategy, a cost function is considered, which represents the mean total cost on some finite time interval [0, t]. This function takes into account replacement costs, with economical dependence between simultaneous replacements, and also some energy consumption (and/or production) cost, with a constant rate per unit time. A full analytical expression is provided for the cost function induced by each possible replacement strategy. The optimal strategy is derived in long‐time run. Numerical experiments conclude the paper. Copyright © 2008 John Wiley & Sons, Ltd.
Author Mercier, Sophie
Author_xml – sequence: 1
  givenname: Sophie
  surname: Mercier
  fullname: Mercier, Sophie
  email: sophie.mercier@univ-mlv.fr
  organization: Laboratoire d'Analyse et de Mathématiques Appliquées, Université Paris-Est, CNRS UMR 8050, 5 boulevard Descartes, Champs sur Marne, F-77454 Marne-la-Vallée, France
BackLink https://hal.science/hal-00693070$$DView record in HAL
BookMark eNp1kEFPGzEQha0KpAJF6k_YU0UPm47X6_XuMUQtIIVySFGOlmPG4OJdb22nNP8epylIIHqa0eh7M2_eIdkb_ICEfKQwoQDVFxX71URA844cUF41ZQ0V3_vb1yXtoH5PDmP8CUBpLegBubwak-2VKwKOTmnscUjF6J3Vm8L4UPhV9A4TFtr3Y740pFg82HRX3OKAIeuMsm4dsAgqYfxA9o1yEY__1SNy_e3rj9l5Ob86u5hN56VmTZs98ZsKK9MI1mmqOK1EzW5qo4SoFGXcdJq1NaKuWt1Ay9AA1LoxVIgVB6MVOyKfd3vvlJNjyA-EjfTKyvPpXG5nAE3HQMBvmtlPO3YM_tcaY5K9jRqdUwP6dZSM8Za2rcjgZAfq4GMMaKS2SSXrhxTyk5KC3CYstwnLnHAWnLwSPFl5Ay136IN1uPkvJ6eLy9MXvI0J_zzzKtzLnJrgcvn9TC6Xi1m34Llhj-uCm-o
CitedBy_id crossref_primary_10_1287_serv_2023_0318
crossref_primary_10_1016_j_ejor_2015_02_007
crossref_primary_10_1016_j_cirpj_2019_09_001
crossref_primary_10_1016_j_ijpe_2014_08_020
crossref_primary_10_1016_j_ijpe_2017_08_013
crossref_primary_10_1016_j_techsoc_2020_101347
crossref_primary_10_1016_j_ress_2014_04_004
crossref_primary_10_1007_s41872_022_00188_1
crossref_primary_10_1016_j_ijpe_2012_12_003
crossref_primary_10_1002_nav_21904
crossref_primary_10_1177_0959651819853483
crossref_primary_10_1007_s11771_013_1605_9
crossref_primary_10_1108_MD_12_2019_1704
crossref_primary_10_3390_en13102507
Cites_doi 10.1287/mnsc.44.1.12
10.1023/A:1019236203575
10.1016/0377-2217(92)90026-6
10.1080/07408179408966640
10.1007/978-0-85729-410-4_496
10.1016/j.orl.2006.03.001
10.1287/mnsc.1070.0709
10.1007/s11227-006-7763-x
10.1016/0898-1221(94)00225-A
10.1002/asmb.516
10.1016/j.ejor.2005.09.043
10.1016/S0167-6377(02)00153-0
10.1016/S0167-7152(97)00068-0
10.1214/aoms/1177699149
10.1525/9780520319875-011
10.1016/0925-5273(96)80001-U
10.1016/S0377-2217(02)00651-3
10.1016/0377-2217(94)90075-2
10.1287/opre.44.1.215
10.1016/0925-5273(96)00062-X
10.1007/BF01194788
10.1002/1520-6750(198804)35:2<209::AID-NAV3220350206>3.0.CO;2-3
ContentType Journal Article
Copyright Copyright © 2008 John Wiley & Sons, Ltd.
Distributed under a Creative Commons Attribution 4.0 International License
Copyright_xml – notice: Copyright © 2008 John Wiley & Sons, Ltd.
– notice: Distributed under a Creative Commons Attribution 4.0 International License
DBID BSCLL
AAYXX
CITATION
7SC
7TA
8FD
JG9
JQ2
L7M
L~C
L~D
1XC
DOI 10.1002/asmb.706
DatabaseName Istex
CrossRef
Computer and Information Systems Abstracts
Materials Business File
Technology Research Database
Materials Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Hyper Article en Ligne (HAL)
DatabaseTitle CrossRef
Materials Research Database
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Advanced Technologies Database with Aerospace
Materials Business File
Computer and Information Systems Abstracts Professional
DatabaseTitleList CrossRef

Materials Research Database
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
EISSN 1526-4025
EndPage 235
ExternalDocumentID oai_HAL_hal_00693070v1
10_1002_asmb_706
ASMB706
ark_67375_WNG_WWSC9S5G_W
Genre article
GroupedDBID .3N
.GA
.Y3
05W
0R~
10A
1L6
1OC
23M
31~
33P
3SF
3WU
4.4
50Y
50Z
51W
51X
52M
52N
52O
52P
52S
52T
52U
52W
52X
5GY
5VS
66C
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
8VB
930
A03
AAESR
AAEVG
AAHHS
AANLZ
AAONW
AASGY
AAXRX
AAZKR
ABCQN
ABCUV
ABEML
ABIJN
ABJNI
ABPVW
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFS
ACIWK
ACPOU
ACSCC
ACXBN
ACXQS
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADOZA
ADXAS
ADZMN
ADZOD
AEEZP
AEIGN
AEIMD
AEMOZ
AENEX
AEQDE
AEUQT
AEUYR
AFBPY
AFFPM
AFGKR
AFPWT
AFZJQ
AHBTC
AITYG
AIURR
AIWBW
AJBDE
AJXKR
AKVCP
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AMBMR
AMYDB
ATUGU
AUFTA
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BSCLL
BY8
CS3
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRSTM
EBA
EBO
EBR
EBS
EBU
EJD
EMK
EPL
F00
F01
F04
FEDTE
G-S
G.N
GNP
GODZA
H.T
H.X
HF~
HGLYW
HHZ
HVGLF
HZ~
IX1
J0M
JPC
K1G
KQQ
LATKE
LAW
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
MEWTI
MK4
MRFUL
MRSTM
MSFUL
MSSTM
MXFUL
MXSTM
N04
N05
N9A
NF~
O66
O9-
OIG
P2P
P2W
P2X
P4D
Q.N
Q11
QB0
QRW
QWB
R.K
ROL
RWI
RX1
RYL
SUPJJ
TH9
UB1
W8V
W99
WBKPD
WIH
WIK
WJL
WOHZO
WQJ
WRC
WXSBR
WYISQ
XBAML
XG1
XPP
XV2
YHZ
ZL0
~IA
~WT
AAHQN
AAMNL
AANHP
AAYCA
ACRPL
ACYXJ
ADNMO
AFWVQ
AHQJS
ALVPJ
AAYXX
AEYWJ
AGHNM
AGQPQ
AGYGG
AMVHM
CITATION
1OB
7SC
7TA
8FD
AAMMB
AEFGJ
AGXDD
AIDQK
AIDYY
JG9
JQ2
L7M
L~C
L~D
1XC
ID FETCH-LOGICAL-c3686-45d2e2f6739c1a512743d4fa772a135f9c384eec28c6083ef004c6f177b50fca3
IEDL.DBID DR2
ISSN 1524-1904
IngestDate Fri May 09 12:22:18 EDT 2025
Fri Sep 05 06:45:13 EDT 2025
Tue Jul 01 04:27:33 EDT 2025
Thu Apr 24 23:10:48 EDT 2025
Wed Jan 22 16:51:07 EST 2025
Wed Oct 30 09:52:11 EDT 2024
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c3686-45d2e2f6739c1a512743d4fa772a135f9c384eec28c6083ef004c6f177b50fca3
Notes ark:/67375/WNG-WWSC9S5G-W
ArticleID:ASMB706
istex:AA3805F17938199F0C674719F0CA63C7AB67741A
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ORCID 0000-0003-3916-024X
PQID 33581887
PQPubID 23500
PageCount 15
ParticipantIDs hal_primary_oai_HAL_hal_00693070v1
proquest_miscellaneous_33581887
crossref_citationtrail_10_1002_asmb_706
crossref_primary_10_1002_asmb_706
wiley_primary_10_1002_asmb_706_ASMB706
istex_primary_ark_67375_WNG_WWSC9S5G_W
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate May/June 2008
PublicationDateYYYYMMDD 2008-05-01
PublicationDate_xml – month: 05
  year: 2008
  text: May/June 2008
PublicationDecade 2000
PublicationPlace Chichester, UK
PublicationPlace_xml – name: Chichester, UK
PublicationTitle Applied stochastic models in business and industry
PublicationTitleAlternate Appl. Stochastic Models Bus. Ind
PublicationYear 2008
Publisher John Wiley & Sons, Ltd
Wiley
Publisher_xml – name: John Wiley & Sons, Ltd
– name: Wiley
References Cheevaprawatdomrong T, Smith RL. A paradox in equipment replacement under technological improvement. Operations Research Letters 2003; 31(1):77-82.
Dohi T, Osaki S. Optimal inventory policies under product obsolescent circumstance. Computers and Mathematics with Applications 1995; 29(3):23-30.
Goldstein T, Ladany SP, Mehrez A. A discounted machine replacement model with an expected future technological breakthrough. Naval Research Logistics Quarterly 1988; 35:209-220.
Mercier S, Labeau P-E. Optimal replacement policy for a series system with obsolescence. Applied Stochastic Models in Business and Industry 2004; 20(1):73-91, published online 10 February 2004.
Xu SH, Li Z. Managing a single-product assemble-to-order system with technology innovations. Management Science 2007; 53(9):467-1485, published online before print 25 July 2007.
Cobbaert K, Van Oudheusden D. Inventory models for fast moving spare parts subject to 'sudden death' obsolescence. International Journal of Production Economics 1996; 44(3):239-248.
van Delft Ch, Vial JP. Discounted costs, obsolescence and planned stockouts with EOQ formula. International Journal of Production Economics 1996; 44:255-265.
Barlow RE, Proschan F. Inequalities for linear combinations of order statistics from restricted families. Annals of Mathematical Statistics 1996; 37:1574-1592.
Arnold BC, Balakrishnan N, Nagaraja HN. A First Course in Order Statistics. Wiley: New York, 1993.
Hritonenkoa N, Yatsenko Y. Optimal equipment replacement without paradoxes: a continuous analysis. Operations Research Letters 2007; 35(2):245-250.
Hritonenko N, Yatsenko Y. Creative destruction of computing systems: analysis and modeling. The Journal of Supercomputing 2006; 38(2):143-154.
Nair SK, Hopp WJ. A model for equipment replacement due to technological obsolescence. European Journal of Operational Research 1992; 63(2):207-221.
Hopp WJ, Nair SK. Markovian deterioration and technological change. IIE Transactions 1994; 26(6):74-82.
Dekker R, Wildeman RE, Van Der Duyn Schouten FA. A review of multi-component maintenance models with economic dependence. Mathematical Methods of Operations Research 1997; 45(3):411-435.
Chambers C. Technological advancement, learning, and the adoption of new technology. European Journal of Operational Research 2004; 152(1):226-247.
Song J-S, Zipkin PH. Managing inventory with the prospect of obsolescence. Operations Research 1996; 44(1):215-222 (Special issue on New Directions in Operations Management).
Ebrahimi N, Spizichino F. Some results on normalized total time on test and spacings. Statistics and Probability Letters 1997; 36(3):231-243.
Mercier S. Discrete random bounds for general random variables and applications to reliability. European Journal of Operational Research 2007; 177(1):378-405, available online 15 February 2006.
Jain K, Silver EA. Lot sizing for a product subject to obsolescence or perishability. European Journal of Operational Research 1994; 75(2):287-295.
Rajagopalan S, Singh MR, Morton TE. Capacity expansion and replacement in growing market with uncertain technological breakthrough. Management Science 1998; 44:12-30.
Mehrez A, Rabinowitz G, Shemesh E. A discrete maintenance and replacement model under technological breakthrough expectations. Annals of Operations Research 2000; 99(1-4):351-372.
2004; 20
2004; 152
2006; 38
2000; 99
1997; 36
2007; 177
1997; 45
1963
1988; 35
1994; 26
1993
1995; 29
2007; 53
1996; 37
2003; 31
2007; 35
1998; 44
1996; 44
1994; 75
1992; 63
Arnold BC (e_1_2_1_26_2) 1993
e_1_2_1_22_2
Derman C (e_1_2_1_18_2) 1963
e_1_2_1_23_2
e_1_2_1_20_2
e_1_2_1_21_2
e_1_2_1_27_2
e_1_2_1_24_2
e_1_2_1_25_2
e_1_2_1_6_2
e_1_2_1_7_2
e_1_2_1_4_2
e_1_2_1_5_2
e_1_2_1_2_2
e_1_2_1_11_2
e_1_2_1_3_2
e_1_2_1_12_2
e_1_2_1_10_2
e_1_2_1_15_2
e_1_2_1_16_2
e_1_2_1_13_2
e_1_2_1_14_2
e_1_2_1_19_2
e_1_2_1_8_2
e_1_2_1_17_2
e_1_2_1_9_2
References_xml – reference: Arnold BC, Balakrishnan N, Nagaraja HN. A First Course in Order Statistics. Wiley: New York, 1993.
– reference: Dekker R, Wildeman RE, Van Der Duyn Schouten FA. A review of multi-component maintenance models with economic dependence. Mathematical Methods of Operations Research 1997; 45(3):411-435.
– reference: Dohi T, Osaki S. Optimal inventory policies under product obsolescent circumstance. Computers and Mathematics with Applications 1995; 29(3):23-30.
– reference: Mercier S. Discrete random bounds for general random variables and applications to reliability. European Journal of Operational Research 2007; 177(1):378-405, available online 15 February 2006.
– reference: Xu SH, Li Z. Managing a single-product assemble-to-order system with technology innovations. Management Science 2007; 53(9):467-1485, published online before print 25 July 2007.
– reference: Nair SK, Hopp WJ. A model for equipment replacement due to technological obsolescence. European Journal of Operational Research 1992; 63(2):207-221.
– reference: Cobbaert K, Van Oudheusden D. Inventory models for fast moving spare parts subject to 'sudden death' obsolescence. International Journal of Production Economics 1996; 44(3):239-248.
– reference: Chambers C. Technological advancement, learning, and the adoption of new technology. European Journal of Operational Research 2004; 152(1):226-247.
– reference: Hopp WJ, Nair SK. Markovian deterioration and technological change. IIE Transactions 1994; 26(6):74-82.
– reference: Hritonenko N, Yatsenko Y. Creative destruction of computing systems: analysis and modeling. The Journal of Supercomputing 2006; 38(2):143-154.
– reference: Mercier S, Labeau P-E. Optimal replacement policy for a series system with obsolescence. Applied Stochastic Models in Business and Industry 2004; 20(1):73-91, published online 10 February 2004.
– reference: van Delft Ch, Vial JP. Discounted costs, obsolescence and planned stockouts with EOQ formula. International Journal of Production Economics 1996; 44:255-265.
– reference: Barlow RE, Proschan F. Inequalities for linear combinations of order statistics from restricted families. Annals of Mathematical Statistics 1996; 37:1574-1592.
– reference: Hritonenkoa N, Yatsenko Y. Optimal equipment replacement without paradoxes: a continuous analysis. Operations Research Letters 2007; 35(2):245-250.
– reference: Rajagopalan S, Singh MR, Morton TE. Capacity expansion and replacement in growing market with uncertain technological breakthrough. Management Science 1998; 44:12-30.
– reference: Goldstein T, Ladany SP, Mehrez A. A discounted machine replacement model with an expected future technological breakthrough. Naval Research Logistics Quarterly 1988; 35:209-220.
– reference: Mehrez A, Rabinowitz G, Shemesh E. A discrete maintenance and replacement model under technological breakthrough expectations. Annals of Operations Research 2000; 99(1-4):351-372.
– reference: Song J-S, Zipkin PH. Managing inventory with the prospect of obsolescence. Operations Research 1996; 44(1):215-222 (Special issue on New Directions in Operations Management).
– reference: Cheevaprawatdomrong T, Smith RL. A paradox in equipment replacement under technological improvement. Operations Research Letters 2003; 31(1):77-82.
– reference: Jain K, Silver EA. Lot sizing for a product subject to obsolescence or perishability. European Journal of Operational Research 1994; 75(2):287-295.
– reference: Ebrahimi N, Spizichino F. Some results on normalized total time on test and spacings. Statistics and Probability Letters 1997; 36(3):231-243.
– volume: 53
  start-page: 467
  issue: 9
  year: 2007
  end-page: 1485
  article-title: Managing a single‐product assemble‐to‐order system with technology innovations
  publication-title: Management Science
– start-page: 201
  year: 1963
  end-page: 210
– start-page: 3098
  end-page: 3103
– volume: 75
  start-page: 287
  issue: 2
  year: 1994
  end-page: 295
  article-title: Lot sizing for a product subject to obsolescence or perishability
  publication-title: European Journal of Operational Research
– volume: 63
  start-page: 207
  issue: 2
  year: 1992
  end-page: 221
  article-title: A model for equipment replacement due to technological obsolescence
  publication-title: European Journal of Operational Research
– volume: 35
  start-page: 245
  issue: 2
  year: 2007
  end-page: 250
  article-title: Optimal equipment replacement without paradoxes: a continuous analysis
  publication-title: Operations Research Letters
– volume: 177
  start-page: 378
  issue: 1
  year: 2007
  end-page: 405
  article-title: Discrete random bounds for general random variables and applications to reliability
  publication-title: European Journal of Operational Research
– volume: 99
  start-page: 351
  issue: 1–4
  year: 2000
  end-page: 372
  article-title: A discrete maintenance and replacement model under technological breakthrough expectations
  publication-title: Annals of Operations Research
– volume: 152
  start-page: 226
  issue: 1
  year: 2004
  end-page: 247
  article-title: Technological advancement, learning, and the adoption of new technology
  publication-title: European Journal of Operational Research
– volume: 20
  start-page: 73
  issue: 1
  year: 2004
  end-page: 91
  article-title: Optimal replacement policy for a series system with obsolescence
  publication-title: Applied Stochastic Models in Business and Industry
– volume: 44
  start-page: 12
  year: 1998
  end-page: 30
  article-title: Capacity expansion and replacement in growing market with uncertain technological breakthrough
  publication-title: Management Science
– volume: 44
  start-page: 215
  issue: 1
  year: 1996
  end-page: 222
  article-title: Managing inventory with the prospect of obsolescence
  publication-title: Operations Research
– volume: 26
  start-page: 74
  issue: 6
  year: 1994
  end-page: 82
  article-title: Markovian deterioration and technological change
  publication-title: IIE Transactions
– volume: 29
  start-page: 23
  issue: 3
  year: 1995
  end-page: 30
  article-title: Optimal inventory policies under product obsolescent circumstance
  publication-title: Computers and Mathematics with Applications
– start-page: 499
  end-page: 506
– volume: 37
  start-page: 1574
  year: 1996
  end-page: 1592
  article-title: Inequalities for linear combinations of order statistics from restricted families
  publication-title: Annals of Mathematical Statistics
– volume: 44
  start-page: 239
  issue: 3
  year: 1996
  end-page: 248
  article-title: Inventory models for fast moving spare parts subject to ‘sudden death’ obsolescence
  publication-title: International Journal of Production Economics
– volume: 36
  start-page: 231
  issue: 3
  year: 1997
  end-page: 243
  article-title: Some results on normalized total time on test and spacings
  publication-title: Statistics and Probability Letters
– year: 1993
– volume: 45
  start-page: 411
  issue: 3
  year: 1997
  end-page: 435
  article-title: A review of multi‐component maintenance models with economic dependence
  publication-title: Mathematical Methods of Operations Research
– volume: 31
  start-page: 77
  issue: 1
  year: 2003
  end-page: 82
  article-title: A paradox in equipment replacement under technological improvement
  publication-title: Operations Research Letters
– volume: 35
  start-page: 209
  year: 1988
  end-page: 220
  article-title: A discounted machine replacement model with an expected future technological breakthrough
  publication-title: Naval Research Logistics Quarterly
– volume: 38
  start-page: 143
  issue: 2
  year: 2006
  end-page: 154
  article-title: Creative destruction of computing systems: analysis and modeling
  publication-title: The Journal of Supercomputing
– volume: 44
  start-page: 255
  year: 1996
  end-page: 265
  article-title: Discounted costs, obsolescence and planned stockouts with EOQ formula
  publication-title: International Journal of Production Economics
– ident: e_1_2_1_16_2
  doi: 10.1287/mnsc.44.1.12
– ident: e_1_2_1_14_2
  doi: 10.1023/A:1019236203575
– ident: e_1_2_1_15_2
  doi: 10.1016/0377-2217(92)90026-6
– ident: e_1_2_1_17_2
  doi: 10.1080/07408179408966640
– ident: e_1_2_1_21_2
  doi: 10.1007/978-0-85729-410-4_496
– ident: e_1_2_1_22_2
– ident: e_1_2_1_13_2
  doi: 10.1016/j.orl.2006.03.001
– ident: e_1_2_1_8_2
  doi: 10.1287/mnsc.1070.0709
– ident: e_1_2_1_12_2
  doi: 10.1007/s11227-006-7763-x
– ident: e_1_2_1_5_2
  doi: 10.1016/0898-1221(94)00225-A
– ident: e_1_2_1_20_2
  doi: 10.1002/asmb.516
– ident: e_1_2_1_27_2
  doi: 10.1016/j.ejor.2005.09.043
– ident: e_1_2_1_10_2
  doi: 10.1016/S0167-6377(02)00153-0
– ident: e_1_2_1_25_2
  doi: 10.1016/S0167-7152(97)00068-0
– ident: e_1_2_1_24_2
  doi: 10.1214/aoms/1177699149
– volume-title: A First Course in Order Statistics
  year: 1993
  ident: e_1_2_1_26_2
– start-page: 201
  volume-title: Mathematical Optimization Techniques
  year: 1963
  ident: e_1_2_1_18_2
  doi: 10.1525/9780520319875-011
– ident: e_1_2_1_19_2
– ident: e_1_2_1_23_2
– ident: e_1_2_1_4_2
  doi: 10.1016/0925-5273(96)80001-U
– ident: e_1_2_1_9_2
  doi: 10.1016/S0377-2217(02)00651-3
– ident: e_1_2_1_6_2
  doi: 10.1016/0377-2217(94)90075-2
– ident: e_1_2_1_7_2
  doi: 10.1287/opre.44.1.215
– ident: e_1_2_1_3_2
  doi: 10.1016/0925-5273(96)00062-X
– ident: e_1_2_1_2_2
  doi: 10.1007/BF01194788
– ident: e_1_2_1_11_2
  doi: 10.1002/1520-6750(198804)35:2<209::AID-NAV3220350206>3.0.CO;2-3
SSID ssj0011471
Score 1.8767209
Snippet Identical components are considered, which become obsolete once new‐type ones are available, more reliable and less energy consuming. We envision different...
Identical components are considered, which become obsolete once new-type ones are available, more reliable and less energy consuming. We envision different...
SourceID hal
proquest
crossref
wiley
istex
SourceType Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 221
SubjectTerms cost-based optimization
order statistics
preventive maintenance
renewal function
technological obsolescence
Title Optimal replacement policy for obsolete components with general failure rates
URI https://api.istex.fr/ark:/67375/WNG-WWSC9S5G-W/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fasmb.706
https://www.proquest.com/docview/33581887
https://hal.science/hal-00693070
Volume 24
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ1db9MwFIYtKDfjAgYDUdiGQdO4SpcP20kuu25dhWiR1k2txIXlODag0g81LZr263dO3GQbAgntqlV72qY-x8dv3LdPCDkwGookVsxLeJJ7LPV9T5lEeDHTPMxFYB14vj8QvUv2eczHG1cl_hfG8SHqDTecGWW_xgmusuLoFhqqimnWikvadhAJxOafnNfkKFD57lyLh8yDNY9V3Fk_PKpeeG8levwDfZBPcGiv7onNu5K1XHO6z8m36mid1WTSWq-ylr7-A-T4sK-zTZ5tpChtu9p5QR6Z2UvytF9zXIsd0v8KHWUKQUtTmrdwK5EuSpQwBbVL5xmULshuis70-QxNGRR3dul3R7OmVv1E3ztFIEXxilx2Ty86PW9zAQZPRwISxngemtCKOEp1oEAagNzImVWgyFUQcZvqKGEG0p1oAVLOWJhxWtggjjPuW62i16Qxgw9_Qyic5ijfcpVk2rI8EirLdWJSnibQAYI0bZJPVTKk3tDJ8SIZv6TjKocSB0jCADXJhzpy4Ygcf4n5CPmsn0aEdq_9ReJjiGbGPvc7aJLDMt11mFpO0OYWczkanMnRaNhJhxzuNMn7qh4kTD78RUXNzHxdyAjpcdCm4a3K3P7zgGR72D-G27f_G_iObDlnClord0ljtVybPZA_q2y_LPQbfc8CCQ
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB6V9gA9FMpDbFuoixCcss3DzkOclkK7lM0isa22h0qW49ht1Xa32keF-PXMxJtAEUiIU6Jkkjie8fiz8-UzwGujMUgSxb1UpKXHM9_3lEljL-FahGUcWCc8n_fj7jE_PBEnS_Cu_hfG6UM0E27UMqp8TQ2cJqR3f6qGqul10U5IbnuFI86gkdeHr412FOJ8N9oSIfew1-O18qwf7tZX3umL7p0TE3KFKvfbHbj5K2itep39h3Bal9eRTS7b81nR1t9_k3L8zxd6BGsLNMo6LnzWYcmMHsNq3ki5Tp9A_gWTyjUaTUzF36LZRHZTqQkzBLxsXGD0IvJmRE4fj4iXwWhyl505QWtm1QVR3xlpUkyfwvH-x6O9rrdYg8HTUYw-46IMTWjjJMp0oBAdIOIouVUIylUQCZvpKOUGPZ7qGNGcsdjodGyDJCmEb7WKnsHyCB_-HBiOdJRvhUoLbXkZxaoodWoykaWYBIIsa8Hb2htSLwTKaZ2MK-mklUNJFSSxglqw01jeOFGOP9i8Qoc2p0lFu9vpSTpG6syU6m6DFryp_N2YqcklMd0SIYf9AzkcDvaygcCdFmzXASGx_dFHFTUy4_lURiQgh5kab1U5968Fkp1B_h63G_9quA33u0d5T_Y-9T9vwgNHVCGm5RYszyZz8wLR0Kx4WUX9D5cYBig
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ3bTxNBFMZPFBIjD3gBY0VkMEaftuxlZi-PBakVaTUWUhIeJrOzM0CQtunFGP96z9npLkIgMT61aU_b7ZwzZ76dfv0twDujsUgSxb1UpIXHM9_3lEljL-FahEUcWAee7_bizjE_OBEnC1cl_RfG8SHqDTeaGWW_pgk-LuzONTRUTa_yZkK07WUeo5AgQfS9RkehzHcnWyLkHi56vALP-uFO9cobS9HDczJCLtPY_rqhNv_WrOWi034Cp9XhOq_JZXM-y5v69y2S4_99n6ewutCirOWK5xk8MMPnsNKtQa7TNeh-xZZyhUETU7q3aC-RjUuWMEO5y0Y51i7qbkbW9NGQXBmMtnbZmcNZM6suyPjOiEgxXYfj9v7RXsdbXIHB01GMGeOiCE1o4yTKdKBQG6DeKLhVKMlVEAmb6SjlBvOdakqBsTjldGyDJMmFb7WKXsDSED_8JTA8z1G-FSrNteVFFKu80KnJRJZiCwiyrAEfqmRIvcCT01UyfkgHVg4lDZDEAWrAdh05dkiOO2LeYj7rp4mh3WkdSnqM2MzU6H4GDXhfprsOU5NL8rklQg56n-Rg0N_L-gLvNGCrqgeJs49-UlFDM5pPZUT4OOzT-FZlbu89INnqd3fx9tW_Bm7Bo28f2_Lwc-_LBjx2LhWyWb6GpdlkbjZRCs3yN2XN_wGKyATX
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimal+replacement+policy+for+obsolete+components+with+general+failure+rates&rft.jtitle=Applied+stochastic+models+in+business+and+industry&rft.au=Mercier%2C+Sophie&rft.date=2008-05-01&rft.pub=John+Wiley+%26+Sons%2C+Ltd&rft.issn=1524-1904&rft.eissn=1526-4025&rft.volume=24&rft.issue=3&rft.spage=221&rft.epage=235&rft_id=info:doi/10.1002%2Fasmb.706&rft.externalDBID=10.1002%252Fasmb.706&rft.externalDocID=ASMB706
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1524-1904&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1524-1904&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1524-1904&client=summon