916 resultados para micro-process-engineering


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This paper discusses an ongoing project that aims at improving the potential for resilience of a system responsible for the planning of rail engineering work delivery. It focuses on the use of a human factors based approach as a way to achieve this end. In particular, the paper discusses the initial data collected by means of interviews and how this process gave way to a two fold goal: Understanding how the planning process works in reality and identifying any critical aspects of the system from a Resilience Engineering perspective. Given the nature of the process under study, information flows and communication issues have been given particular attention throughout the data collection and analysis stages. Initial data confirms that the planning process is greatly reliant on the capability of people using their knowledge and skills to communicate in a dynamic informational environment. Finally, the added value of the interviews is discussed from a human factors perspective and as a mean towards the aim of better understanding resilience in rail engineering planning.

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This paper discusses an ongoing project that aims at improving the potential for resilience of a system responsible for the planning of rail engineering work delivery. This is being addressed by means of a methodology based on the observation and analysis of “real” planning activities, using resilience engineering concepts as a background. Interviews with planners have been carried out to provide an overview of the planning process and steer more in-depth investigation. Analysis of historic information and observation of planners’ main activities is underway. Given the nature of the process under study, information flows and communication issues have been given particular attention throughout the data collection and analysis stages. Initial data confirms that the planning process is greatly reliant on the capability of people using their knowledge and skills to communicate in a dynamic informational environment. Evidence was found of communication breakdowns at the boundaries of different planning levels and teams. The fact that the process is divided amongst several different areas of the organisation, often with different goals and needs, creates potential sources of conflict and tension.

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A análise histopatológica de tecido ósseo exige uma etapa de descalcificação. O método usual consiste na imersão das amostras em ácidos, mas para além de provocarem danos tecidulares, o processo é prolongado. A utilização de micro-ondas acelera a descalcificação, mas não deve comprometer a imagem microscópica. Objetivo: Diminuir a duração da descalcificação, mantendo a qualidade da imagem microscópica. Metodologia: Foram testadas amostras de osso compacto e esponjoso. Realizou-se a descalcificação pelo método convencional e pelo método em micro-ondas, através da adaptação de um protocolo conhecido. Utilizou-se ácido nítrico a 5% e 10%. Resultados: Nos fragmentos de maiores dimensões, após 4 horas com ácido nítrico a 10% em micro-ondas, não se conseguiu uma descalcificação completa, apesar da imagem histológica ser razoável. Nos fragmentos de osso esponjoso, verificou-se uma redução de cerca de 25 horas relativamente ao método convencional. Nas biópsias, houve uma redução de aproximadamente 10 horas, utilizando ácido nítrico a 5%. Com ácido nítrico a 10% houve destruição tecidular. Nos casos em que se obteve uma descalcificação completa, a imagem microscópica apresenta fraca qualidade. Conclusão: A utilização de micro-ondas com ácido nítrico a 5%/10%, aplicando o protocolo deste estudo, reduz a duração da descalcificação, mas compromete a imagem microscópica.

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We examine the efficacy two volume spatial registration of pre and postoperative clinical computed tomography (CT) imaging to verify post-operative electrode array placement in cochlear implant (CI) patients. To measure the degree of accuracy with which the composite image predicts in-vivo placement of the array, we replicate the CI surgical process in cadaver heads. Pre-operative, post-operative, micro CT imaging and histology are utilized for verification.

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Formal and analytical risk models prescribe how risk should be incorporated in construction bids. However, the actual process of how contractors and their clients negotiate and agree on price is complex, and not clearly articulated in the literature. Using participant observation, the entire tender process was shadowed in two leading UK construction firms. This was compared to propositions in analytical models and significant differences were found. 670 hours of work observed in both firms revealed three stages of the bidding process. Bidding activities were categorized and their extent estimated as deskwork (32%), calculations (19%), meetings (14%), documents (13%), off-days (11%), conversations (7%), correspondence (3%) and travel (1%). Risk allowances of 1-2% were priced in some bids and three tiers of risk apportionment in bids were identified. However, priced risks may sometimes be excluded from the final bidding price to enhance competitiveness. Thus, although risk apportionment affects a contractor’s pricing strategy, other complex, microeconomic factors also affect price. Instead of pricing in contingencies, risk was priced mostly through contractual rather than price mechanisms, to reflect commercial imperatives. The findings explain why some assumptions underpinning analytical models may not be sustainable in practice and why what actually happens in practice is important for those who seek to model the pricing of construction bids.

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Although the construction pollution index has been put forward and proved to be an efficient approach to reducing or mitigating pollution level during the construction planning stage, the problem of how to select the best construction plan based on distinguishing the degree of its potential adverse environmental impacts is still a research task. This paper first reviews environmental issues and their characteristics in construction, which are critical factors in evaluating potential adverse impacts of a construction plan. These environmental characteristics are then used to structure two decision models for environmental-conscious construction planning by using an analytic network process (ANP), including a complicated model and a simplified model. The two ANP models are combined and called the EnvironalPlanning system, which is applied to evaluate potential adverse environmental impacts of alternative construction plans.

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In the tender process, contractors often rely on subcontract and supply enquiries to calculate their bid prices. However, this integral part of the bidding process is not empirically articulated in the literature. Over 30 published materials on the tendering process of contractors that talk about enquiries were reviewed and found to be based mainly on experiential knowledge rather than systematic evidence. The empirical research here helps to describe the process of enquiries precisely, improve it in practice, and have some basis to support it in theory. Using a live participant observation case study approach, the whole tender process was shadowed in the offices of two of the top 20 UK civil engineering construction firms. This helped to investigate 15 research questions on how contractors enquire and obtain prices from subcontractors and suppliers. Forty-three subcontract enquiries and 18 supply enquiries were made across two different projects with average value of 7m. An average of 15 subcontract packages and seven supply packages was involved. Thus, two or three subcontractors or suppliers were invited to bid in each package. All enquiries were formulated by the estimator, with occasional involvement of three other personnel. Most subcontract prices were received in an average of 14 working days; and supply prices took five days. The findings show 10 main activities involved in processing enquiries and their durations, as well as wasteful practices associated with enquiries. Contractors should limit their enquiry invitations to a maximum of three per package, and optimize the waiting time for quotations in order to improve cost efficiency.

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Purpose – The purpose of this paper is to show the extent to which clients amend standard form contracts in practice, the locus of the amendments, and how contractors respond to the amendments when putting together a bid. Design/methodology/approach – Four live observational case studies were carried out in two of the top 20 UK construction firms. The whole process used to review the proposed terms and conditions of the contract was shadowed using participant observation, interview and documentary analysis. Findings – All four cases showed strong evidence of amendments relating mostly to payment and contractual aspects: 83 amendments in Case Study 1 (CS1), 80 in CS2, 15 in CS3 and 29 in CS4. This comprised clauses that were modified (37 per cent), substituted (23 per cent), deleted (7 per cent) and new additions (33 per cent). Risks inherent in the amendments were mostly addressed through contractual rather than price mechanisms, to reflect commercial imperatives. “Qualifications” and “clarifications” were included in the tender submissions for post-tender negotiations. Thus, the amendments did not necessarily influence price. There was no evidence of a “standard-form contract“ being used as such, although clients may draw on published “standard-form contracts” to derive the forms of contract actually used in practice. Practical implications – Contractors should pay attention to clauses relating to contractual and financial aspects when reviewing tender documents. Clients should draft equitable payment and contractual terms and conditions to reduce risk of dispute. Indeed, it is prudent for clients not to pass on inestimable risks. Originality/value – A better understanding of the extent and locus of amendments in standard form contracts, and how contractors respond, is provided.

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The management of information in engineering organisations is facing a particular challenge in the ever-increasing volume of information. It has been recognised that an effective methodology is required to evaluate information in order to avoid information overload and to retain the right information for reuse. By using, as a starting point, a number of the current tools and techniques which attempt to obtain ‘the value’ of information, it is proposed that an assessment or filter mechanism for information is needed to be developed. This paper addresses this issue firstly by briefly reviewing the information overload problem, the definition of value, and related research work on the value of information in various areas. Then a “characteristic” based framework of information evaluation is introduced using the key characteristics identified from related work as an example. A Bayesian Network diagram method is introduced to the framework to build the linkage between the characteristics and information value in order to quantitatively calculate the quality and value of information. The training and verification process for the model is then described using 60 real engineering documents as a sample. The model gives a reasonable accurate result and the differences between the model calculation and training judgements are summarised as the potential causes are discussed. Finally, several further issues including the challenge of the framework and the implementations of this evaluation assessment method are raised.

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This paper presents the on-going research performed in order to integrate process automation and process management support in the context of media production. This has been addressed on the basis of a holistic approach to software engineering applied to media production modelling to ensure design correctness, completeness and effectiveness. The focus of the research and development has been to enhance the metadata management throughout the process in a similar fashion to that achieved in Decision Support Systems (DSS) to facilitate well-grounded business decisions. The paper sets out the aims and objectives and the methodology deployed. The paper describes the solution in some detail and sets out some preliminary conclusions and the planned future work.

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Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the historical database considered contains data coming from projects of a heterogeneous nature. The segmentation of the input domain according to clusters obtained from the database of historical projects serves as a tool for more realistic models that use several local estimation relationships. Nonetheless, it may be hypothesized that using clustering algorithms without previous consideration of the influence of well-known project attributes misses the opportunity to obtain more realistic segments. In this paper, we describe the results of an empirical study using the ISBSG-8 database and the EM clustering algorithm that studies the influence of the consideration of two process-related attributes as drivers of the clustering process: the use of engineering methodologies and the use of CASE tools. The results provide evidence that such consideration conditions significantly the final model obtained, even though the resulting predictive quality is of a similar magnitude.

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The construction sector is under growing pressure to increase productivity and improve quality, most notably in reports by Latham (1994, Constructing the Team, HMSO, London) and Egan (1998, Rethinking Construction, HMSO, London). A major problem for construction companies is the lack of project predictability. One method of increasing predictability and delivering increased customer value is through the systematic management of construction processes. However, the industry has no methodological mechanism to assess process capability and prioritise process improvements. Standardized Process Improvement for Construction Enterprises (SPICE) is a research project that is attempting to develop a stepwise process improvement framework for the construction industry, utilizing experience from the software industry, and in particular the Capability Maturity Model (CMM), which has resulted in significant productivity improvements in the software industry. This paper introduces SPICE concepts and presents the results from two case studies conducted on design and build projects. These studies have provided further in-sight into the relevance and accuracy of the framework, as well as its value for the construction sector.