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The purpose of this article is to determine if there is a linkage between the army material systems analysis activity (AMSAA) reliability growth models at the system and subsystem levels and at the subsystem and functional levels of indenture. If such a linkage exists, how this information can be used when tracking reliability of fielded systems to provide early warning signals to detect unwanted reliability problems at lower levels, where improvements are typically made.

Actual performance data from large equipments were analyzed for several groupings of such equipment, where equipment age and generation of design determined the groupings. For each dataset, the system‐level trend was measured using the AMSAA model for three different cases. For each of the three cases, all subsystem trends were measured, in addition to the system‐level trend. This was done to see if any relationship exists, as hypothesized, between system and subsystem trends. Data were analyzed using three different combinations of time periods to facilitate a later investigation of the predictive capabilities of the AMSAA model.

Results indicate that, for large complex systems or equipment, there appears to be a linkage at the subsystem and functional levels. However, no such hazard rate trending relationship exists between the system and subsystem levels. Based on these results, it can be cautiously concluded that, in terms of reliability, in subsystems that exhibit an increasing trend in unwanted issues, there is a higher likelihood of a function that is driving such a trend.

A useful approach in reliability studies to see if the hazard rate trending relationships between levels of hardware indenture exists as one progresses toward the system‐level. For large complex systems or equipments, such as the one represented here, the initial results indicate that the answer is no, at least between the system and subsystem levels of indenture. However, there is strong evidence that such relationships are valid between subsystems and their functions.

This paper advances existing knowledge in the area of reliability analysis by exploring the use of army material systems analysis activity (AMSAA) reliability growth models to determine linkages between the system and subsystem levels and at the subsystem and functional levels of indenture. If such a linkage exists, it is possible to determine how this information can be used to provide early warning signals when tracking reliability of fielded systems.

Proposes that the role of traceability in manufacturing systems is to enable the history of events to be followed and compared with scheduled plans and predefined goals. Tracing techniques can be used to detect system status (status tracing), analyse system performance (performance tracing) and support decision making (goal tracing). Manufacturing systems are conceptualized as having the levels of strategy, planning and design, and operations. There is a need for all three forms of traceability at each manufacturing system level. The traceabilities approach provides a structured, holistic way of thinking about and designing manufacturing information systems which is not constrained by the physical system or by the narrower requirements of a computer management system.

The purpose of this paper is to analyze Toyota's production levelling process in an attempt to understand the various social and technical factors required to produce to a changing market. Unfortunately, most outsiders who explore production levelling do not realize that it involves various departments outside of manufacturing. Consequently, due to the dynamic nature of production levelling many unintended social and management factors between departments makes cooperation difficult.

This paper conducts a case study at one of Toyota's automobile plants to examine the level of departmental and social integration that is applied when implementing production levelling. Based on observations, the problems of production levelling are analyzed and, accordingly, possible solutions are explored.

The findings of this work show that Toyota achieves production levelling because it is viewed as a company‐wide activity that cuts across many departments in promoting manufacturing consistency. Production levelling criteria include both the design and manufacturing aspects which brings evidence that manufacturing is limited in its ability to eliminate and reduce market fluctuation. The work also illustrates that Toyota reinforces departmental cooperation through its human resources policies, and many other unique management mechanisms.

The paper provides new insight on how Toyota achieves production levelling by considering a more holistic and social‐technical approach. In particular, interdepartmental activities are emphasized in achieving company‐wide goals that impact how departments agree to operate.

Recent marketing research provides conceptual models to investigate the well-being of collectives, but service system well-being (SSW) remains untested empirically. This research conceptualises and develops a measure for SSW at the micro, meso and macro levels.

Using a series of studies, a multidimensional SSW scale is developed and validated to ensure its generalisability. After the development of preliminary items, Study 1 (N = 435 of service employees) was used to purify items using factor analyses. Study 2 (N = 592 of service employees) used structural equation modelling (SEM) with AMOS and SmartPLS to test the scale's dimensionality, reliability and validity.

The results confirm the validity and reliability of the nine dimensions of SSW. The measure was validated as a third-order micro-, meso- and macro-level construct. The dimensions of existential and transformative well-being contribute to micro-level well-being. The dimensions of social, community and collaborative well-being contribute to meso-level well-being. Government, leadership, strategic and resource well-being drive macro-level well-being. In addition, a nomological network was specified to assess the impact of SSW on service actor life satisfaction and customer orientation.

The study contributes to services literature by theorising SSW as a hierarchical structure and empirically validating the dimensions and micro-meso-macro levels that contribute to SSW.

The SSW scale is a useful diagnostic tool for assessing levels of well-being across different systems and providing insights that can help develop interventions to improve the well-being of collectives.

The research is the first study to theorise the micro, meso and macro levels of service system well-being and operationally validate the SSW construct.

This paper aims to propose a methodology for a safety and reliability assessment for the conceptual and preliminary design of very complex and disrupting innovative systems like trans-atmospheric vehicles. The proposed methodology differs from existing ones because it does not rely on statistical data at aircraft-level but exploits the statistical population at components-level only. For the sake of clarity, the paper provides some preliminary results of the application of the methodology at system level. The example deals with the safety and reliability assessment of a very complex propulsion system aimed at guaranteeing vertical take-off and landing capabilities of a suborbital vehicle.

The proposed methodology is strongly based on a systems engineering approach. It exploits safety and reliability assessment analyses which have already been developed in both aeronautical and space engineering domains, but it combines them in an innovative way to overcome the lack of statistics at aircraft level. The methodology consists of two different steps: a qualitative top-down process, allowing a functional and physical decomposition of the transportation system and a following quantitative bottom-up approach, which provides the estimation of system-level reliability and safety characteristics starting from the statistical estimation of the components’ characteristics.

The paper presents a new methodology for the preliminary reliability and safety assessment of innovative transportation systems, such as hypersonic transportation systems. The envisaged methodology will overcome the poorness of statistical data that is usually affecting the conceptual design of breakthrough systems.

The paper shows the application of the articulated methodology to a limited case study. A complete example of application of the methodology to estimate safety and reliability characteristics at vehicle level will be provided in feature works.

The methodology has been proposed to be exploited in international research activities in the field of hypersonic transportation systems. Furthermore, a massive application of this approach would allow to create a database for the generation and the update of semi-empirical models focused on high-level estimations of reliability, availability, maintainability and safety (RAMS) characteristics. Moreover, the proposed safety assessment has been conceived to be fully integrated within a typical conceptual design process.

The existing literature about safety and reliability assessment at the early design stages proposes pure statistical approaches which are usually not applicable to highly innovative products, where the statistical population is not existing, for example, in the case of trans-atmospheric vehicles. This paper describes how to overcome this problem, through the exploitation of statistical data at components-level only through the combination of these data to estimate RAMS characteristics at aircraft-level thanks to functional analysis, concept of operations and typical safety assessment tools, like functional hazard analysis, failure mode and effect analysis, reliability block diagram and fault tree analysis.

The purpose of this paper is to identify the critical components of a complex system by using survival signature. First, a complex system is abstracted with varying scales and generates a multi-levels model. Then reliability evaluations can be conducted by survival signature from rough to fine for tracing and identifying them. Finally, the feasibility of the proposed approach is demonstrated by an actual production system.

The paper mainly applies a multi-level evaluating strategy for the reliability analysis of complex systems with components of multiple types. In addition, a multi-levels model of a complex system is constructed and survival signature also used for evaluation.

The proposed approach was demonstrated to be the feasibility by an actual production system that is used in the case study.

The case study was performed on a system with simple network structure, but the proposed approach could be applied to systems with complex ones. However, the approach to generate the digraphs of abstraction levels for complex system has to be developed.

So far the approach has been used for the reliability analysis of a machining system. The approach that is proposed for the identification of critical components also can be applied to make maintenance decision.

The multi-level evaluating strategy that was proposed for reliability analysis and the identification of critical components of complex systems was a novel method, and it also can be applied as index to make maintenance planning.

The purpose of this paper is to present a hierarchical circuit synthesis system with a hybrid deterministic local optimization – multi‐objective genetic algorithm (DLO‐MOGA) optimization scheme for system‐level synthesis.

The use of a local optimization with a deterministic algorithm based on linear equations which is computationally efficient and improves the feasibility of designs, allows reduction in the number of MOGA generations required to achieve convergence.

This approach reduces the total number of simulation iterations required for optimization. Reduction in run time enables use of full transistor‐level models for simulation of critical system‐level sub‐blocks. Consequently, for system‐level synthesis, simulation accuracy is maintained. The approach is demonstrated for the design of pipeline analog‐to‐digital converters on a 0.35 μm process.

The use of a hybrid DLO‐MOGA optimization approach is a new approach to improve hierarchical circuit synthesis time while preserving accuracy.

Systems of care and evidence-based practice possess distinct histories. Though each developed out of attempts to improve services to youth with emotional and behavioral disorders, they did so from perspectives so different as to appear diametrically opposed. Service systems exist at multiple levels, including the practice, program, and system levels (Rosenblatt, 1988, 2005; Rosenblatt & Woodbridge, 2003). Research on health and mental health service systems similarly varies, often by level of the service system, with the research methods, independent and dependent variables, populations of interest, and ultimately the consumers of the research product interacting differentially in the creation and understanding of what constitutes a knowledge base for service delivery. Systems of care and, with limited exceptions, evidence-based practices exist at different levels of the service delivery structure, require and derive from different research approaches, and speak to overlapping but historically different audiences.

To examine the impact of organizational learning factors (training available, technical expertise, and knowledge level) and knowledge management processes (knowledge acquisition, knowledge application, and knowledge sharing) on e‐business systems adoption level.

The data from a survey of 202 IS executives in Taiwan were used empirically to test the proposed research model. Moreover, confirmatory factor analysis was conducted to examine the reliability and validity of the measurement model, and the structural equation modelling technique was used to evaluate the research model.

The analytical results showed that organizational learning factors and knowledge management processes are closely related to the level of e‐business systems adoption. However, knowledge sharing did not significantly affect e‐business systems adoption level.

Future studies could seek an enhanced understanding of the impacts on the level of e‐business adoption of the organizational learning and knowledge management factors investigated in this paper through structured interviews and case studies of IS executives dealing with ongoing or recently completed e‐business systems projects.

Owner/managers considering e‐business systems adoption would be best to focus on both social and technical factors, and their interaction within and beyond the organization, rather than focusing exclusively on technological considerations.

This paper has implications for e‐business managers or policy‐makers in formulating policies and targeting appropriate organizational capabilities to ensure effective adoption of e‐business systems.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.