Research on reliability evaluation of reconfigurable manufacturing system

It is a crucial task to evaluate the reliability of manufacturing process in product development process. Process reliability is a measurement of production ability of reconfigurable manufacturing system (RMS), which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. An integration framework of manufacturing process reliability evaluation is presented together with product development process. A mathematical model and algorithm based on universal generating function (UGF) is developed for calculating the reliability of manufacturing process with respect to task intensity and process capacity, which are both independent random variables. The rework strategies of RMS are analyzed under different task intensity based on process reliability is presented, and the optimization of rework strategies based on process reliability is discussed afterwards.

Performance evaluation of adaptive context aware rate selection algorithm (ACARS) for road safety applications in vehicular network

One of the major drawbacks for mobile nodes in wireless networks is power management. Our goal is to evaluate the performance power control scheme to be used to reduce network congestion, improve quality of service and collision avoidance in vehicular network and road safety application. Some of the importance of power control (PC) are improving spatial reuse, and increasing network capacity in mobile wireless communications. In this simulation we have evaluated the performance of existing rate algorithms compared with context Aware Rate selection algorithm (ACARS) and also seen the performance of ACARS and how it can be applied to road safety, improve network control and power management. Result shows that ACARS is able to minimize the total transmit power in the presence of propagation processes and mobility of vehicles, by adapting to the fast varying channels conditions with the Path loss exponent values that was used for that environment which is shown in the network simulation parameter. Our results have shown that ACARS is a very robust algorithm which performs very well with the effect of propagation processes that is prone to every transmitted signal in mobile networks. © 2013 IEEE.

GPs' perspectives on managing the NHS Health Check in primary care:a qualitative evaluation of implementation in one area of England

OBJECTIVES: To evaluate the implementation of the National Health Service (NHS) Health Check programme in one area of England from the perspective of general practitioners (GPs). DESIGN: A qualitative exploratory study was conducted with GPs and other healthcare professionals involved in delivering the NHS Health Check and with patients. This paper reports the experience of GPs and focuses on the management of the Heath Check programme in primary care. SETTING: Primary care surgeries in the Heart of Birmingham region (now under the auspices of the Birmingham Cross City Clinical Commissioning Group) were invited to take part in the larger scale evaluation. This study focuses on a subset of those surgeries whose GPs were willing to participate. PARTICIPANTS: 9 GPs from different practices volunteered. GPs served an ethnically diverse region with areas of socioeconomic deprivation. Ethnicities of participant GPs included South Asian, South Asian British, white, black British and Chinese. METHODS: Individual semistructured interviews were conducted with GPs face to face or via telephone. Thematic analysis was used to analyse verbatim transcripts. RESULTS: Themes were generated which represent GPs' experiences of managing the NHS Health Check: primary care as a commercial enterprise; 'buy in' to concordance in preventive healthcare; following protocol and support provision. These themes represent the key issues raised by GPs. They reveal variability in the implementation of NHS Health Checks. GPs also need support in allocating resources to the Health Check including training on how to conduct checks in a concordant (or collaborative) way. CONCLUSIONS: The variability observed in this small-scale evaluation corroborates existing findings suggesting a need for more standardisation. Further large-scale research is needed to determine how that could be achieved. Work needs to be done to further develop a concordant approach to lifestyle advice which involves tailored individual goal setting rather than a paternalistic advice-giving model.

The MG Rover closure and policy response: an evaluation of the Task Force model in the UK

In recent years there have been a number of high-profile plant closures in the UK. In several cases, the policy response has included setting up a task force to deal with the impacts of the closure. It can be hypothesised that task force involving multi-level working across territorial boundaries and tiers of government is crucial to devising a policy response tailored to people's needs and to ensuring success in dealing with the immediate impacts of a closure. This suggests that leadership, and vision, partnership working and community engagement, and delivery of high quality services are important. This paper looks at the case of the MG Rover closure in 2005, to examine the extent to which the policy response to the closure at the national, regional and local levels dealt effectively with the immediate impacts of the closure, and the lessons that can be learned from the experience. Such lessons are of particular relevance given the closure of the LDV van plant in Birmingham in 2009 and more broadly – such as in the case of the downsizing of the Opel operation in Europe following its takeover by Magna.

Improved inference in the evaluation of mutual fund performance using bootstrap methods

Two new methodologies are introduced to improve inference in the evaluation of mutual fund performance against benchmarks. First, the benchmark models are estimated using panel methods with both fund and time effects. Second, the non-normality of individual mutual fund returns is accounted for by using panel bootstrap methods. We also augment the standard benchmark factors with fund-specific characteristics, such as fund size. Using a dataset of UK equity mutual fund returns, we find that fund size has a negative effect on the average fund manager’s benchmark-adjusted performance. Further, when we allow for time effects and the non-normality of fund returns, we find that there is no evidence that even the best performing fund managers can significantly out-perform the augmented benchmarks after fund management charges are taken into account.