The Experts below are selected from a list of 6465 Experts worldwide ranked by ideXlab platform
Paul B. Baltes - One of the best experts on this subject based on the ideXlab platform.
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The Adaptiveness of Selection, Optimization, and Compensation as Strategies of Life Management Evidence From a Preference Study on Proverbs
Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2002Co-Authors: Alexandra M. Freund, Paul B. BaltesAbstract:Proverbs were used to examine whether laypeople’s conceptions of or preferences for Life-Management strategies are consistent with the model of selection, optimization, and compensation (SOC model). The SOC model posits that there are three fundamental processes of Life Management: selection, optimization, and compensation. In two studies ( N � 64; N � 131), young (19–32 years) and older adults (59–85 years) were asked to match proverbs to sentence stems indicative of Life-Management situations. Of the proverbs, half reflected one component of SOC and half alternative, non-SOC Life-Management strategies. SOC-related and alternative proverbs were matched on familiarity, understandability, and meaningfulness. Two main results were obtained: Young and older adults chose proverbs reflecting SOC (a) more frequently and (b) faster than alternative proverbs. Study 3 ( N � 60, 19– 32 year-old participants) ruled out that these results were due to an artifact resulting from a stronger, purely semantic relationship of the specific sentence stems with the SOC-related proverbs. Studies 4 ( N � 48 younger and older adults) and 5 ( N � 20 younger adults) were conducted to test discriminant validity. In contrast with tasks involving long-term goal orientation and success, there were no preferences for SOC-related proverbs for Life contexts involving relaxation or leisure. Taken together, results of these studies indicate that individuals, when asked to choose between alternative proverbs characterizing ways of managing Life, prefer SOC-related proverbs.
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Life Management strategies of selection optimization and compensation measurement by self report and construct validity
Journal of Personality and Social Psychology, 2002Co-Authors: Alexandra M. Freund, Paul B. BaltesAbstract:The authors examined the usefulness of a self-report measure for elective selection, loss-based selection. optimization, and compensation (SOC) as strategies of Life Management. The expected 4-factor solution was obtained in 2 independent samples (N = 218, 14-87 years; N = 181, 18-89 years) exhibiting high retest stability across 4 weeks (r(tt) = .74-82). As expected, middle-aged adults showed higher endorsement of SOC than younger and older adults. Moreover, SOC showed meaningful convergent and divergent associations to other psychological constructs (e.g., thinking styles, NEO) and evinced positive correlations with measures of well-being which were maintained after other personality and motivational constructs were controlled for. Initial evidence on behavioral associations involving SOC obtained in other studies is summarized.
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selection optimization and compensation as strategies of Life Management correlations with subjective indicators of successful aging
Psychology and Aging, 1998Co-Authors: Alexandra M. Freund, Paul B. BaltesAbstract:The usefulness of self-reported processes of selection, optimization, and compensation (SOC) for predicting on a correlational level the subjective indicators of successful aging was examined. The sample of Berlin residents was a subset of the participants of the Berlin Aging Study. Three domains (marked by 6 variables) served as outcome measures of successful aging: subjective well-being, positive emotions, and absence of feelings of loneliness. Results confirm the central hypothesis of the SOC model: People who reported using SOC-related Life-Management behaviors (which were unrelated in content to the outcome measures) had higher scores on the 3 indicators of successful aging. The relationships obtained were robust even after controlling for other measures of successful mastery such as personal Life investment, neuroticism, extraversion, openness, control beliefs, intelligence, subjective health, or age.
Alexandra M. Freund - One of the best experts on this subject based on the ideXlab platform.
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Life Management, Developmental Psychology of
International Encyclopedia of the Social & Behavioral Sciences, 2020Co-Authors: Alexandra M. FreundAbstract:How do people manage their lives? Is it possible to identify general processes of Life Management across the entire Lifespan? After a brief historical introduction to the relatively new concept of Life Management, these questions are addressed by discussing three central approaches to investigating Life Management in developmental psychology. These three complementary approaches are (a) self-regulation models of Life Management, (b) models focusing on age-related expectations as guidelines for managing one's Life across the Lifespan, and (c) models stressing the role of personal goals as building blocks for Life Management. These three approaches are not mutually exclusive but complementary and converge in stressing the importance of motivational processes and goals for Life Management across the Lifespan.
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The Adaptiveness of Selection, Optimization, and Compensation as Strategies of Life Management Evidence From a Preference Study on Proverbs
Journals of Gerontology Series B-psychological Sciences and Social Sciences, 2002Co-Authors: Alexandra M. Freund, Paul B. BaltesAbstract:Proverbs were used to examine whether laypeople’s conceptions of or preferences for Life-Management strategies are consistent with the model of selection, optimization, and compensation (SOC model). The SOC model posits that there are three fundamental processes of Life Management: selection, optimization, and compensation. In two studies ( N � 64; N � 131), young (19–32 years) and older adults (59–85 years) were asked to match proverbs to sentence stems indicative of Life-Management situations. Of the proverbs, half reflected one component of SOC and half alternative, non-SOC Life-Management strategies. SOC-related and alternative proverbs were matched on familiarity, understandability, and meaningfulness. Two main results were obtained: Young and older adults chose proverbs reflecting SOC (a) more frequently and (b) faster than alternative proverbs. Study 3 ( N � 60, 19– 32 year-old participants) ruled out that these results were due to an artifact resulting from a stronger, purely semantic relationship of the specific sentence stems with the SOC-related proverbs. Studies 4 ( N � 48 younger and older adults) and 5 ( N � 20 younger adults) were conducted to test discriminant validity. In contrast with tasks involving long-term goal orientation and success, there were no preferences for SOC-related proverbs for Life contexts involving relaxation or leisure. Taken together, results of these studies indicate that individuals, when asked to choose between alternative proverbs characterizing ways of managing Life, prefer SOC-related proverbs.
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Life Management strategies of selection optimization and compensation measurement by self report and construct validity
Journal of Personality and Social Psychology, 2002Co-Authors: Alexandra M. Freund, Paul B. BaltesAbstract:The authors examined the usefulness of a self-report measure for elective selection, loss-based selection. optimization, and compensation (SOC) as strategies of Life Management. The expected 4-factor solution was obtained in 2 independent samples (N = 218, 14-87 years; N = 181, 18-89 years) exhibiting high retest stability across 4 weeks (r(tt) = .74-82). As expected, middle-aged adults showed higher endorsement of SOC than younger and older adults. Moreover, SOC showed meaningful convergent and divergent associations to other psychological constructs (e.g., thinking styles, NEO) and evinced positive correlations with measures of well-being which were maintained after other personality and motivational constructs were controlled for. Initial evidence on behavioral associations involving SOC obtained in other studies is summarized.
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selection optimization and compensation as strategies of Life Management correlations with subjective indicators of successful aging
Psychology and Aging, 1998Co-Authors: Alexandra M. Freund, Paul B. BaltesAbstract:The usefulness of self-reported processes of selection, optimization, and compensation (SOC) for predicting on a correlational level the subjective indicators of successful aging was examined. The sample of Berlin residents was a subset of the participants of the Berlin Aging Study. Three domains (marked by 6 variables) served as outcome measures of successful aging: subjective well-being, positive emotions, and absence of feelings of loneliness. Results confirm the central hypothesis of the SOC model: People who reported using SOC-related Life-Management behaviors (which were unrelated in content to the outcome measures) had higher scores on the 3 indicators of successful aging. The relationships obtained were robust even after controlling for other measures of successful mastery such as personal Life investment, neuroticism, extraversion, openness, control beliefs, intelligence, subjective health, or age.
John C. Aldrin - One of the best experts on this subject based on the ideXlab platform.
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Encyclopedia of Structural Health Monitoring - Value Assessment Approaches for Structural Life Management
Encyclopedia of Structural Health Monitoring, 2008Co-Authors: Enrique A. Medina, John C. AldrinAbstract:This article presents an overview of the basic principles of value assessment for structural health monitoring (SHM) technology as part of Life-cycle Management of aerospace structures. By evaluating and optimizing trade-offs among reliability, availability, and Life-cycle costs, value assessment methods can help decide whether and how SHM technologies should be implemented as part of structural Life Management in conjunction with nondestructive evaluation (NDE) techniques. We review various methods of value assessment, including cost-benefit analysis and multicriteria optimization. We describe several deterministic and probabilistic modeling tools available in the market and present several application examples. These analyses use a method for estimating total Life-cycle cost of various maintenance options including SHM and compare these options based on costs and system reliability benefits. We also present several examples that use a value assessment method based on multicriteria optimization and show how these tools enable optimization of trade-offs among various reliability and cost objectives of the hybrid NDE-SHM (nondestructive evaluation/structural health monitoring) Life Management design problem. Finally, we discuss the need for improved data to enable better Life Management strategies. Keywords: value assessment of structures; structural health monitoring; structures Life-cycle Management; Life-cycle Management strategies; SHM value assessment; Life-cycle optimization
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TRADEOFF ANALYSIS TOOLS FOR HYBRID NDE-SHM Life Management STRATEGIES (PREPRINT)
2007Co-Authors: John C. Aldrin, Enrique A. Medina, Daniel A. Allwine, Jeremy S. KnoppAbstract:Abstract : Hybrid Life Management strategies for new and aging aircraft have been proposed that combine traditional non-destructive evaluation (NDE) methods and recently developed structural health monitoring (SHM) technologies. In recent times, a usual aim for managing the Life of aircraft components that are critical or that are subject to fatigue or corrosion damage is to attempt development of in situ damage detection systems that can indicate when more detailed inspection is necessary. This creates a need for decisions about the type and settings of sensors and signal processing algorithms for the health monitoring system, and system type, settings, and scheduling for NDE. How well these systems are matched will have great influence on overall maintenance cost, aircraft availability and system reliability. In this presentation, a software package is presented for integrating NDE and SHM design with product Life Management models.
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Value Assessment Tools For Hybrid NDE-SHM Life Management Strategies (Preprint)
2006Co-Authors: Enrique A. Medina, John C. Aldrin, Jeremy S. Knopp, Daniel A. AllwineAbstract:Abstract : A variety of structural health monitoring (SHM) technologies has been proposed in the last few years for enhancing the ability to manage the Life of aircraft structures. This work builds upon prior efforts comprising the development and demonstration of a software platform for integrating NDE design and product Life Management models. Based on probabilistic models of fatigue crack growth, detection, and repair, the demonstration cases show the ability of the method and software to assess the effects that changes in inspection parameters and scheduling can have on time-dependent reliability and maintenance cost objectives. Furthermore, the software facilitates design tradeoff assessment and optimization for goals such as cost, reliability, and system availability. This paper describes the development of probabilistic model components representing SHM systems, to be integrated into a hybrid Life Management approach where SHM and NDE are complementarily utilized. Example design cases include 1) analysis of near- and long-term costs and benefits of SHM applications, considering time-dependent sensor reliability, to provide insight into the potential opportunities and challenges of SHM applications and 2) assessment of maintenance programs that combine NDE and SHM systems. Two case study examples are presented to illustrate the value of these decision support tools and models.
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Strategy and Software Framework for Integration of QNDE and Product Life Management Design
AIP Conference Proceedings, 2005Co-Authors: John C. Aldrin, Enrique A. Medina, Marina Altynova, Jeremy S. Knopp, Claudia V. Kropas‐hughesAbstract:A strategy and software framework is presented for integrating various NDI design and product Life Management tools into a design platform enabling analysis and optimization of tradeoffs among NDI decisions and product Life cycle outcomes such as reliability and cost. The approach addresses flexible model design through object‐oriented building blocks, the capability to study complex maintenance processes, the potential integration of independent modeling tools, and NDE system design and optimization based on component Life Management (CLM) metrics.
Enrique A. Medina - One of the best experts on this subject based on the ideXlab platform.
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Encyclopedia of Structural Health Monitoring - Value Assessment Approaches for Structural Life Management
Encyclopedia of Structural Health Monitoring, 2008Co-Authors: Enrique A. Medina, John C. AldrinAbstract:This article presents an overview of the basic principles of value assessment for structural health monitoring (SHM) technology as part of Life-cycle Management of aerospace structures. By evaluating and optimizing trade-offs among reliability, availability, and Life-cycle costs, value assessment methods can help decide whether and how SHM technologies should be implemented as part of structural Life Management in conjunction with nondestructive evaluation (NDE) techniques. We review various methods of value assessment, including cost-benefit analysis and multicriteria optimization. We describe several deterministic and probabilistic modeling tools available in the market and present several application examples. These analyses use a method for estimating total Life-cycle cost of various maintenance options including SHM and compare these options based on costs and system reliability benefits. We also present several examples that use a value assessment method based on multicriteria optimization and show how these tools enable optimization of trade-offs among various reliability and cost objectives of the hybrid NDE-SHM (nondestructive evaluation/structural health monitoring) Life Management design problem. Finally, we discuss the need for improved data to enable better Life Management strategies. Keywords: value assessment of structures; structural health monitoring; structures Life-cycle Management; Life-cycle Management strategies; SHM value assessment; Life-cycle optimization
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TRADEOFF ANALYSIS TOOLS FOR HYBRID NDE-SHM Life Management STRATEGIES (PREPRINT)
2007Co-Authors: John C. Aldrin, Enrique A. Medina, Daniel A. Allwine, Jeremy S. KnoppAbstract:Abstract : Hybrid Life Management strategies for new and aging aircraft have been proposed that combine traditional non-destructive evaluation (NDE) methods and recently developed structural health monitoring (SHM) technologies. In recent times, a usual aim for managing the Life of aircraft components that are critical or that are subject to fatigue or corrosion damage is to attempt development of in situ damage detection systems that can indicate when more detailed inspection is necessary. This creates a need for decisions about the type and settings of sensors and signal processing algorithms for the health monitoring system, and system type, settings, and scheduling for NDE. How well these systems are matched will have great influence on overall maintenance cost, aircraft availability and system reliability. In this presentation, a software package is presented for integrating NDE and SHM design with product Life Management models.
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Value Assessment Tools For Hybrid NDE-SHM Life Management Strategies (Preprint)
2006Co-Authors: Enrique A. Medina, John C. Aldrin, Jeremy S. Knopp, Daniel A. AllwineAbstract:Abstract : A variety of structural health monitoring (SHM) technologies has been proposed in the last few years for enhancing the ability to manage the Life of aircraft structures. This work builds upon prior efforts comprising the development and demonstration of a software platform for integrating NDE design and product Life Management models. Based on probabilistic models of fatigue crack growth, detection, and repair, the demonstration cases show the ability of the method and software to assess the effects that changes in inspection parameters and scheduling can have on time-dependent reliability and maintenance cost objectives. Furthermore, the software facilitates design tradeoff assessment and optimization for goals such as cost, reliability, and system availability. This paper describes the development of probabilistic model components representing SHM systems, to be integrated into a hybrid Life Management approach where SHM and NDE are complementarily utilized. Example design cases include 1) analysis of near- and long-term costs and benefits of SHM applications, considering time-dependent sensor reliability, to provide insight into the potential opportunities and challenges of SHM applications and 2) assessment of maintenance programs that combine NDE and SHM systems. Two case study examples are presented to illustrate the value of these decision support tools and models.
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Strategy and Software Framework for Integration of QNDE and Product Life Management Design
AIP Conference Proceedings, 2005Co-Authors: John C. Aldrin, Enrique A. Medina, Marina Altynova, Jeremy S. Knopp, Claudia V. Kropas‐hughesAbstract:A strategy and software framework is presented for integrating various NDI design and product Life Management tools into a design platform enabling analysis and optimization of tradeoffs among NDI decisions and product Life cycle outcomes such as reliability and cost. The approach addresses flexible model design through object‐oriented building blocks, the capability to study complex maintenance processes, the potential integration of independent modeling tools, and NDE system design and optimization based on component Life Management (CLM) metrics.
Jeremy S. Knopp - One of the best experts on this subject based on the ideXlab platform.
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TRADEOFF ANALYSIS TOOLS FOR HYBRID NDE-SHM Life Management STRATEGIES (PREPRINT)
2007Co-Authors: John C. Aldrin, Enrique A. Medina, Daniel A. Allwine, Jeremy S. KnoppAbstract:Abstract : Hybrid Life Management strategies for new and aging aircraft have been proposed that combine traditional non-destructive evaluation (NDE) methods and recently developed structural health monitoring (SHM) technologies. In recent times, a usual aim for managing the Life of aircraft components that are critical or that are subject to fatigue or corrosion damage is to attempt development of in situ damage detection systems that can indicate when more detailed inspection is necessary. This creates a need for decisions about the type and settings of sensors and signal processing algorithms for the health monitoring system, and system type, settings, and scheduling for NDE. How well these systems are matched will have great influence on overall maintenance cost, aircraft availability and system reliability. In this presentation, a software package is presented for integrating NDE and SHM design with product Life Management models.
-
Value Assessment Tools For Hybrid NDE-SHM Life Management Strategies (Preprint)
2006Co-Authors: Enrique A. Medina, John C. Aldrin, Jeremy S. Knopp, Daniel A. AllwineAbstract:Abstract : A variety of structural health monitoring (SHM) technologies has been proposed in the last few years for enhancing the ability to manage the Life of aircraft structures. This work builds upon prior efforts comprising the development and demonstration of a software platform for integrating NDE design and product Life Management models. Based on probabilistic models of fatigue crack growth, detection, and repair, the demonstration cases show the ability of the method and software to assess the effects that changes in inspection parameters and scheduling can have on time-dependent reliability and maintenance cost objectives. Furthermore, the software facilitates design tradeoff assessment and optimization for goals such as cost, reliability, and system availability. This paper describes the development of probabilistic model components representing SHM systems, to be integrated into a hybrid Life Management approach where SHM and NDE are complementarily utilized. Example design cases include 1) analysis of near- and long-term costs and benefits of SHM applications, considering time-dependent sensor reliability, to provide insight into the potential opportunities and challenges of SHM applications and 2) assessment of maintenance programs that combine NDE and SHM systems. Two case study examples are presented to illustrate the value of these decision support tools and models.
-
Strategy and Software Framework for Integration of QNDE and Product Life Management Design
AIP Conference Proceedings, 2005Co-Authors: John C. Aldrin, Enrique A. Medina, Marina Altynova, Jeremy S. Knopp, Claudia V. Kropas‐hughesAbstract:A strategy and software framework is presented for integrating various NDI design and product Life Management tools into a design platform enabling analysis and optimization of tradeoffs among NDI decisions and product Life cycle outcomes such as reliability and cost. The approach addresses flexible model design through object‐oriented building blocks, the capability to study complex maintenance processes, the potential integration of independent modeling tools, and NDE system design and optimization based on component Life Management (CLM) metrics.
