A mission execution decision making methodology based on mission-health interrelationship analysis
In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections...
Ausführliche Beschreibung
Autor*in: |
Geng, Jie [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2016 |
---|
Rechteinformationen: |
Nutzungsrecht: © Elsevier Ltd |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Computers & industrial engineering - Amsterdam [u.a.] : Elsevier, 1976, 95(2016), Seite 97-110 |
---|---|
Übergeordnetes Werk: |
volume:95 ; year:2016 ; pages:97-110 |
Links: |
---|
DOI / URN: |
10.1016/j.cie.2016.02.022 |
---|
Katalog-ID: |
OLC1974588475 |
---|
LEADER | 01000caa a2200265 4500 | ||
---|---|---|---|
001 | OLC1974588475 | ||
003 | DE-627 | ||
005 | 20220217082849.0 | ||
007 | tu | ||
008 | 160609s2016 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1016/j.cie.2016.02.022 |2 doi | |
028 | 5 | 2 | |a PQ20160719 |
035 | |a (DE-627)OLC1974588475 | ||
035 | |a (DE-599)GBVOLC1974588475 | ||
035 | |a (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 | ||
035 | |a (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 004 |q DNB |
084 | |a 85.35 |2 bkl | ||
084 | |a 54.80 |2 bkl | ||
084 | |a 83.00 |2 bkl | ||
100 | 1 | |a Geng, Jie |e verfasserin |4 aut | |
245 | 1 | 2 | |a A mission execution decision making methodology based on mission-health interrelationship analysis |
264 | 1 | |c 2016 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
520 | |a In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. | ||
540 | |a Nutzungsrecht: © Elsevier Ltd | ||
650 | 4 | |a Decision making models | |
650 | 4 | |a Studies | |
650 | 4 | |a Correlation analysis | |
650 | 4 | |a Performance evaluation | |
700 | 1 | |a Lv, Chuan |4 oth | |
700 | 1 | |a Zhou, Dong |4 oth | |
700 | 1 | |a Wang, Zili |4 oth | |
773 | 0 | 8 | |i Enthalten in |t Computers & industrial engineering |d Amsterdam [u.a.] : Elsevier, 1976 |g 95(2016), Seite 97-110 |w (DE-627)129448982 |w (DE-600)196993-6 |w (DE-576)014814994 |x 0360-8352 |7 nnns |
773 | 1 | 8 | |g volume:95 |g year:2016 |g pages:97-110 |
856 | 4 | 1 | |u http://dx.doi.org/10.1016/j.cie.2016.02.022 |3 Volltext |
856 | 4 | 2 | |u http://www.sciencedirect.com/science/article/pii/S0360835216300493 |
856 | 4 | 2 | |u http://search.proquest.com/docview/1786778673 |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-MAT | ||
912 | |a SSG-OLC-WIW | ||
912 | |a GBV_ILN_70 | ||
936 | b | k | |a 85.35 |q AVZ |
936 | b | k | |a 54.80 |q AVZ |
936 | b | k | |a 83.00 |q AVZ |
951 | |a AR | ||
952 | |d 95 |j 2016 |h 97-110 |
author_variant |
j g jg |
---|---|
matchkey_str |
article:03608352:2016----::msinxctodcsomknmtoooyaeomsinelh |
hierarchy_sort_str |
2016 |
bklnumber |
85.35 54.80 83.00 |
publishDate |
2016 |
allfields |
10.1016/j.cie.2016.02.022 doi PQ20160719 (DE-627)OLC1974588475 (DE-599)GBVOLC1974588475 (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi DE-627 ger DE-627 rakwb eng 004 DNB 85.35 bkl 54.80 bkl 83.00 bkl Geng, Jie verfasserin aut A mission execution decision making methodology based on mission-health interrelationship analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. Nutzungsrecht: © Elsevier Ltd Decision making models Studies Correlation analysis Performance evaluation Lv, Chuan oth Zhou, Dong oth Wang, Zili oth Enthalten in Computers & industrial engineering Amsterdam [u.a.] : Elsevier, 1976 95(2016), Seite 97-110 (DE-627)129448982 (DE-600)196993-6 (DE-576)014814994 0360-8352 nnns volume:95 year:2016 pages:97-110 http://dx.doi.org/10.1016/j.cie.2016.02.022 Volltext http://www.sciencedirect.com/science/article/pii/S0360835216300493 http://search.proquest.com/docview/1786778673 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 85.35 AVZ 54.80 AVZ 83.00 AVZ AR 95 2016 97-110 |
spelling |
10.1016/j.cie.2016.02.022 doi PQ20160719 (DE-627)OLC1974588475 (DE-599)GBVOLC1974588475 (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi DE-627 ger DE-627 rakwb eng 004 DNB 85.35 bkl 54.80 bkl 83.00 bkl Geng, Jie verfasserin aut A mission execution decision making methodology based on mission-health interrelationship analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. Nutzungsrecht: © Elsevier Ltd Decision making models Studies Correlation analysis Performance evaluation Lv, Chuan oth Zhou, Dong oth Wang, Zili oth Enthalten in Computers & industrial engineering Amsterdam [u.a.] : Elsevier, 1976 95(2016), Seite 97-110 (DE-627)129448982 (DE-600)196993-6 (DE-576)014814994 0360-8352 nnns volume:95 year:2016 pages:97-110 http://dx.doi.org/10.1016/j.cie.2016.02.022 Volltext http://www.sciencedirect.com/science/article/pii/S0360835216300493 http://search.proquest.com/docview/1786778673 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 85.35 AVZ 54.80 AVZ 83.00 AVZ AR 95 2016 97-110 |
allfields_unstemmed |
10.1016/j.cie.2016.02.022 doi PQ20160719 (DE-627)OLC1974588475 (DE-599)GBVOLC1974588475 (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi DE-627 ger DE-627 rakwb eng 004 DNB 85.35 bkl 54.80 bkl 83.00 bkl Geng, Jie verfasserin aut A mission execution decision making methodology based on mission-health interrelationship analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. Nutzungsrecht: © Elsevier Ltd Decision making models Studies Correlation analysis Performance evaluation Lv, Chuan oth Zhou, Dong oth Wang, Zili oth Enthalten in Computers & industrial engineering Amsterdam [u.a.] : Elsevier, 1976 95(2016), Seite 97-110 (DE-627)129448982 (DE-600)196993-6 (DE-576)014814994 0360-8352 nnns volume:95 year:2016 pages:97-110 http://dx.doi.org/10.1016/j.cie.2016.02.022 Volltext http://www.sciencedirect.com/science/article/pii/S0360835216300493 http://search.proquest.com/docview/1786778673 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 85.35 AVZ 54.80 AVZ 83.00 AVZ AR 95 2016 97-110 |
allfieldsGer |
10.1016/j.cie.2016.02.022 doi PQ20160719 (DE-627)OLC1974588475 (DE-599)GBVOLC1974588475 (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi DE-627 ger DE-627 rakwb eng 004 DNB 85.35 bkl 54.80 bkl 83.00 bkl Geng, Jie verfasserin aut A mission execution decision making methodology based on mission-health interrelationship analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. Nutzungsrecht: © Elsevier Ltd Decision making models Studies Correlation analysis Performance evaluation Lv, Chuan oth Zhou, Dong oth Wang, Zili oth Enthalten in Computers & industrial engineering Amsterdam [u.a.] : Elsevier, 1976 95(2016), Seite 97-110 (DE-627)129448982 (DE-600)196993-6 (DE-576)014814994 0360-8352 nnns volume:95 year:2016 pages:97-110 http://dx.doi.org/10.1016/j.cie.2016.02.022 Volltext http://www.sciencedirect.com/science/article/pii/S0360835216300493 http://search.proquest.com/docview/1786778673 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 85.35 AVZ 54.80 AVZ 83.00 AVZ AR 95 2016 97-110 |
allfieldsSound |
10.1016/j.cie.2016.02.022 doi PQ20160719 (DE-627)OLC1974588475 (DE-599)GBVOLC1974588475 (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi DE-627 ger DE-627 rakwb eng 004 DNB 85.35 bkl 54.80 bkl 83.00 bkl Geng, Jie verfasserin aut A mission execution decision making methodology based on mission-health interrelationship analysis 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. Nutzungsrecht: © Elsevier Ltd Decision making models Studies Correlation analysis Performance evaluation Lv, Chuan oth Zhou, Dong oth Wang, Zili oth Enthalten in Computers & industrial engineering Amsterdam [u.a.] : Elsevier, 1976 95(2016), Seite 97-110 (DE-627)129448982 (DE-600)196993-6 (DE-576)014814994 0360-8352 nnns volume:95 year:2016 pages:97-110 http://dx.doi.org/10.1016/j.cie.2016.02.022 Volltext http://www.sciencedirect.com/science/article/pii/S0360835216300493 http://search.proquest.com/docview/1786778673 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 85.35 AVZ 54.80 AVZ 83.00 AVZ AR 95 2016 97-110 |
language |
English |
source |
Enthalten in Computers & industrial engineering 95(2016), Seite 97-110 volume:95 year:2016 pages:97-110 |
sourceStr |
Enthalten in Computers & industrial engineering 95(2016), Seite 97-110 volume:95 year:2016 pages:97-110 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Decision making models Studies Correlation analysis Performance evaluation |
dewey-raw |
004 |
isfreeaccess_bool |
false |
container_title |
Computers & industrial engineering |
authorswithroles_txt_mv |
Geng, Jie @@aut@@ Lv, Chuan @@oth@@ Zhou, Dong @@oth@@ Wang, Zili @@oth@@ |
publishDateDaySort_date |
2016-01-01T00:00:00Z |
hierarchy_top_id |
129448982 |
dewey-sort |
14 |
id |
OLC1974588475 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1974588475</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220217082849.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160609s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.cie.2016.02.022</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160719</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1974588475</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1974588475</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">85.35</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">83.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Geng, Jie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A mission execution decision making methodology based on mission-health interrelationship analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © Elsevier Ltd</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decision making models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Studies</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Correlation analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Performance evaluation</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lv, Chuan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Dong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Zili</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computers & industrial engineering</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 1976</subfield><subfield code="g">95(2016), Seite 97-110</subfield><subfield code="w">(DE-627)129448982</subfield><subfield code="w">(DE-600)196993-6</subfield><subfield code="w">(DE-576)014814994</subfield><subfield code="x">0360-8352</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:95</subfield><subfield code="g">year:2016</subfield><subfield code="g">pages:97-110</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1016/j.cie.2016.02.022</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S0360835216300493</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1786778673</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">85.35</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.80</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">83.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">95</subfield><subfield code="j">2016</subfield><subfield code="h">97-110</subfield></datafield></record></collection>
|
author |
Geng, Jie |
spellingShingle |
Geng, Jie ddc 004 bkl 85.35 bkl 54.80 bkl 83.00 misc Decision making models misc Studies misc Correlation analysis misc Performance evaluation A mission execution decision making methodology based on mission-health interrelationship analysis |
authorStr |
Geng, Jie |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)129448982 |
format |
Article |
dewey-ones |
004 - Data processing & computer science |
delete_txt_mv |
keep |
author_role |
aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
0360-8352 |
topic_title |
004 DNB 85.35 bkl 54.80 bkl 83.00 bkl A mission execution decision making methodology based on mission-health interrelationship analysis Decision making models Studies Correlation analysis Performance evaluation |
topic |
ddc 004 bkl 85.35 bkl 54.80 bkl 83.00 misc Decision making models misc Studies misc Correlation analysis misc Performance evaluation |
topic_unstemmed |
ddc 004 bkl 85.35 bkl 54.80 bkl 83.00 misc Decision making models misc Studies misc Correlation analysis misc Performance evaluation |
topic_browse |
ddc 004 bkl 85.35 bkl 54.80 bkl 83.00 misc Decision making models misc Studies misc Correlation analysis misc Performance evaluation |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
author2_variant |
c l cl d z dz z w zw |
hierarchy_parent_title |
Computers & industrial engineering |
hierarchy_parent_id |
129448982 |
dewey-tens |
000 - Computer science, knowledge & systems |
hierarchy_top_title |
Computers & industrial engineering |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)129448982 (DE-600)196993-6 (DE-576)014814994 |
title |
A mission execution decision making methodology based on mission-health interrelationship analysis |
ctrlnum |
(DE-627)OLC1974588475 (DE-599)GBVOLC1974588475 (PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0 (KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi |
title_full |
A mission execution decision making methodology based on mission-health interrelationship analysis |
author_sort |
Geng, Jie |
journal |
Computers & industrial engineering |
journalStr |
Computers & industrial engineering |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
000 - Computer science, information & general works |
recordtype |
marc |
publishDateSort |
2016 |
contenttype_str_mv |
txt |
container_start_page |
97 |
author_browse |
Geng, Jie |
container_volume |
95 |
class |
004 DNB 85.35 bkl 54.80 bkl 83.00 bkl |
format_se |
Aufsätze |
author-letter |
Geng, Jie |
doi_str_mv |
10.1016/j.cie.2016.02.022 |
dewey-full |
004 |
title_sort |
mission execution decision making methodology based on mission-health interrelationship analysis |
title_auth |
A mission execution decision making methodology based on mission-health interrelationship analysis |
abstract |
In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. |
abstractGer |
In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. |
abstract_unstemmed |
In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-WIW GBV_ILN_70 |
title_short |
A mission execution decision making methodology based on mission-health interrelationship analysis |
url |
http://dx.doi.org/10.1016/j.cie.2016.02.022 http://www.sciencedirect.com/science/article/pii/S0360835216300493 http://search.proquest.com/docview/1786778673 |
remote_bool |
false |
author2 |
Lv, Chuan Zhou, Dong Wang, Zili |
author2Str |
Lv, Chuan Zhou, Dong Wang, Zili |
ppnlink |
129448982 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth |
doi_str |
10.1016/j.cie.2016.02.022 |
up_date |
2024-07-04T04:38:30.788Z |
_version_ |
1803621929624535040 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1974588475</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220217082849.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160609s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.cie.2016.02.022</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160719</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1974588475</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1974588475</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2245-7dcceab08f497bdf04f3bbe51063a69f77bf6f50fed4ad595754ab67157062ba0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0011885020160000095000000097missionexecutiondecisionmakingmethodologybasedonmi</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">85.35</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">83.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Geng, Jie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A mission execution decision making methodology based on mission-health interrelationship analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper, a mission execution decision making methodology is proposed based on the interrelationship between mission requirements and system capability. A mission-system correlation model is established after analyzing mission-function and function-system separately to determine the connections between mission and system. A detailed contrastive analysis between mission requirements and system capability, including transforming intrinsic health into mission health and modules interrelationship analysis, is then conducted for the given mission, which provides quantitative suggestions for objective and timely mission-execution decision making. A case study on a cruise is used to illustrate the performance of the methodology.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © Elsevier Ltd</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decision making models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Studies</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Correlation analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Performance evaluation</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lv, Chuan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhou, Dong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Zili</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Computers & industrial engineering</subfield><subfield code="d">Amsterdam [u.a.] : Elsevier, 1976</subfield><subfield code="g">95(2016), Seite 97-110</subfield><subfield code="w">(DE-627)129448982</subfield><subfield code="w">(DE-600)196993-6</subfield><subfield code="w">(DE-576)014814994</subfield><subfield code="x">0360-8352</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:95</subfield><subfield code="g">year:2016</subfield><subfield code="g">pages:97-110</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1016/j.cie.2016.02.022</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S0360835216300493</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1786778673</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">85.35</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">54.80</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">83.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">95</subfield><subfield code="j">2016</subfield><subfield code="h">97-110</subfield></datafield></record></collection>
|
score |
7.400527 |