Towards effective business process availability management
Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an...
Ausführliche Beschreibung
Autor*in: |
Akkiraju, Rama [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
Planned Business Process Outages |
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Anmerkung: |
© The Society of Service Science and Springer 2012 |
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Übergeordnetes Werk: |
Enthalten in: Journal of service science - Berlin : Springer, 2009, 4(2012), 2 vom: Dez., Seite 319-351 |
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Übergeordnetes Werk: |
volume:4 ; year:2012 ; number:2 ; month:12 ; pages:319-351 |
Links: |
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DOI / URN: |
10.1007/s12927-012-0013-2 |
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Katalog-ID: |
SPR028478304 |
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10.1007/s12927-012-0013-2 doi (DE-627)SPR028478304 (SPR)s12927-012-0013-2-e DE-627 ger DE-627 rakwb eng Akkiraju, Rama verfasserin aut Towards effective business process availability management 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2012 Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. Planned Business Process Outages (dpeaa)DE-He213 Business Process Maintenance (dpeaa)DE-He213 Business Process Availability Management (dpeaa)DE-He213 Business Continuit (dpeaa)DE-He213 Bhattacharjya, Debarun aut Gupta, Sammukh aut Enthalten in Journal of service science Berlin : Springer, 2009 4(2012), 2 vom: Dez., Seite 319-351 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:4 year:2012 number:2 month:12 pages:319-351 https://dx.doi.org/10.1007/s12927-012-0013-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 4 2012 2 12 319-351 |
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10.1007/s12927-012-0013-2 doi (DE-627)SPR028478304 (SPR)s12927-012-0013-2-e DE-627 ger DE-627 rakwb eng Akkiraju, Rama verfasserin aut Towards effective business process availability management 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2012 Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. Planned Business Process Outages (dpeaa)DE-He213 Business Process Maintenance (dpeaa)DE-He213 Business Process Availability Management (dpeaa)DE-He213 Business Continuit (dpeaa)DE-He213 Bhattacharjya, Debarun aut Gupta, Sammukh aut Enthalten in Journal of service science Berlin : Springer, 2009 4(2012), 2 vom: Dez., Seite 319-351 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:4 year:2012 number:2 month:12 pages:319-351 https://dx.doi.org/10.1007/s12927-012-0013-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 4 2012 2 12 319-351 |
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10.1007/s12927-012-0013-2 doi (DE-627)SPR028478304 (SPR)s12927-012-0013-2-e DE-627 ger DE-627 rakwb eng Akkiraju, Rama verfasserin aut Towards effective business process availability management 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2012 Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. Planned Business Process Outages (dpeaa)DE-He213 Business Process Maintenance (dpeaa)DE-He213 Business Process Availability Management (dpeaa)DE-He213 Business Continuit (dpeaa)DE-He213 Bhattacharjya, Debarun aut Gupta, Sammukh aut Enthalten in Journal of service science Berlin : Springer, 2009 4(2012), 2 vom: Dez., Seite 319-351 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:4 year:2012 number:2 month:12 pages:319-351 https://dx.doi.org/10.1007/s12927-012-0013-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 4 2012 2 12 319-351 |
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10.1007/s12927-012-0013-2 doi (DE-627)SPR028478304 (SPR)s12927-012-0013-2-e DE-627 ger DE-627 rakwb eng Akkiraju, Rama verfasserin aut Towards effective business process availability management 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2012 Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. Planned Business Process Outages (dpeaa)DE-He213 Business Process Maintenance (dpeaa)DE-He213 Business Process Availability Management (dpeaa)DE-He213 Business Continuit (dpeaa)DE-He213 Bhattacharjya, Debarun aut Gupta, Sammukh aut Enthalten in Journal of service science Berlin : Springer, 2009 4(2012), 2 vom: Dez., Seite 319-351 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:4 year:2012 number:2 month:12 pages:319-351 https://dx.doi.org/10.1007/s12927-012-0013-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 4 2012 2 12 319-351 |
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10.1007/s12927-012-0013-2 doi (DE-627)SPR028478304 (SPR)s12927-012-0013-2-e DE-627 ger DE-627 rakwb eng Akkiraju, Rama verfasserin aut Towards effective business process availability management 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society of Service Science and Springer 2012 Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. Planned Business Process Outages (dpeaa)DE-He213 Business Process Maintenance (dpeaa)DE-He213 Business Process Availability Management (dpeaa)DE-He213 Business Continuit (dpeaa)DE-He213 Bhattacharjya, Debarun aut Gupta, Sammukh aut Enthalten in Journal of service science Berlin : Springer, 2009 4(2012), 2 vom: Dez., Seite 319-351 (DE-627)641391676 (DE-600)2583905-6 2092-5204 nnns volume:4 year:2012 number:2 month:12 pages:319-351 https://dx.doi.org/10.1007/s12927-012-0013-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2009 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4126 AR 4 2012 2 12 319-351 |
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Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. © The Society of Service Science and Springer 2012 |
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Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. © The Society of Service Science and Springer 2012 |
abstract_unstemmed |
Abstract We present a decision-support framework for managing business process unavailability caused by the planned maintenance activities of the underlying infrastructure components such as software and hardware upgrades and patch application. The framework has two parts: the first part provides an approach for estimating the business impact of business process outages. Four business impact factors are defined, involving both quantitative and qualitative metrics. Total business impact involves combining the individual impacts on business for various countries affected by the outages within a company. We apply multi-attribute utility theory to combine the values of impact factors. In the second part, optimal schedules for process maintenance activities are computed to minimize the overall estimated business impact using a sliding-window based scheduling algorithm. Finally, the schedules and their business impact are presented to the decision maker in a visual environment that is conducive for effective decision making. A prototype of the system has been developed and is currently being evaluated for use in a large Dow Jones (Top 10) company. © The Society of Service Science and Springer 2012 |
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