206 research outputs found

    Multiple case-study analysis of quality management practices within UK Six Sigma and non-Six Sigma manufacturing small- and medium-sized enterprises

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    This paper examines multiple case-study analysis of quality management practices within UK Six Sigma and non-Six Sigma manufacturing small- and medium-sized enterprises

    Integrating quality costs and real time data to define quality control

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    This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) The control of critical to quality (CTQ) parameters can be done in a given process or in a downstream process. Companies must decide which CTQ parameters will be controlled, in which process, and define the control method: statistical process control (SPC) or 100% inspection. However, operational constraints can influence its definition. Overall, the control for a given process can be excessive or insufficient, resulting in a non-optimal quality cost. This paper discusses the relevance of different factors that can influence the selection of a quality control method. Then, it assesses the likelihood of companies having reliable data on such factors and it is proposed a model to minimize the total quality costs of a given process. The model uses information like SPC efficiency in detecting potential process variations, false alarms, measurement system error, inspection cost, repair cost and the cost of passing defective units to the next process. The quality control method can be updated whenever recent data on the 18 parameters are available. Through an application example, quality control mechanisms are selected to minimize quality costs.FCT - Fundação para a Ciência e a Tecnologia(UID/CEC/00319/2019

    A Lean Six Sigma framework for the reduction of ship loading commercial time in the iron ore pelletising industry

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    © 2016 Informa UK Limited, trading as Taylor & Francis Group. Abstract: Evidence suggests that specifically designed frameworks to implement Lean Six Sigma (LSS) projects to tackle particular problems are more effective than ‘generic’ versions. This paper proposes an implementation framework to effectively deploy LSS to improve a key operation and performance indicator, i.e. ship loading commercial time, of one of the largest world producer of iron ore. This article therefore contributes with a refined framework to effectively implement LSS, and documents its successful application and effectiveness within the context of the case organisation. The LSS framework and project contributed in helping the studied organisation to improve both the capability of its ship loading process and commercial time by more than 30%, resulting in operational savings in the range of $300,000 USD per year. The systematic nature of the framework proposed also helped the organisation to establish a standardised routine to improve its operations. Managerial implications exposing the challenges faced during the implementation of LSS are also discussed to serve as lessons learnt to be considered in other LSS projects. Managers and engineers incharge of improving operations and processes can benefit from this paper as it can be used as a guide to direct the conduction of LSS projects and the empirical application of its principles and tools

    Imperative ethical behaviours in making systems development and deployment compliant with health & safety and well-being

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    Literature on systems development has been progressively identifying the importance of social aspects in systems development, to the extent that this process has been considered a socio-technical system. More often than not there is a failure of participants in the recognition, and fulfilment, of ethical duties concerning the concepts of health and safety and wellbeing. The purpose of normative ethics is to scrutinise moral standards for the rightness and wrongness of actions, the ultimate goal being the identification of the true human good. A rational appeal can be made to normative defensible ethical rules in order to arrive at a judicious, morally justifiable judgement. In this paper our first step is to report on the findings of a literature review, which presents the current health and safety issues concerning usage of computers in organisations and the workplace. Secondly, we identify and list some basic generic Deontological and Teleological moral principles and theories that can serve as normative guidelines for addressing the issues pinpointed in the initial step. Thirdly, we prescribe a set of moral rights and duties that must be exercised and fulfilled by protagonists in systems development and software engineering in order for them to exhibit moral behaviour. Each of these suggested actions are substantiated via an appeal to one, or a number of the normative guidelines, identified in the second step. By identifying, and recommending a set of defensible moral obligations that must be fulfilled in the development and deployment of systems, protagonists such as: project managers, software engineering teams, systems analysts, clients, etc. can fulfil their ethical duties, thus increasing the likelihood a deployed system that is compliant with principles of health and safety and wellbeing of its users. Ultimately systems development and deployment must be underpinned with ethical consideration

    Lean and green in the transport and logistics sector – a case study of simultaneous deployment

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    © 2016 Informa UK Limited, trading as Taylor & Francis Group. The transport and logistics sector is of vital importance for the stimulation of trade and hence the economic development of nations. However, over the last few years, this sector has taken central stage in the green agenda due to the negative environmental effects derived from its operations. Several disciplines including operations research and sub-areas of supply chain management such as green supply chains, green logistics and reverse logistics have tried to address this problem. However, despite the work undertaken through these disciplines, theoretical or empirical research into the sequential or simultaneous deployment of the lean and green paradigms, particularly, in the road transport and logistics sector is limited. This paper presents a case study where both paradigms have been combined to improve the transport operations of a world leader logistics organisation in the metropolitan area of Monterrey, Mexico. To do this, a systematic methodology and a novel tool called Sustainable Transportation Value Stream Map (STVSM) were proposed. The results obtained from the case study indicate that the concurrent deployment of the green and lean paradigms through such methodology and the STVSM tool is an effective approach to improve both operational efficiency and environmental performance of road transport operations. The paper can be used as a guiding reference for transport and logistics organisations to undertake improvement projects similar to the one presented in this paper. Additionally, this research also intends to stimulate scholarly research into the application of lean and green paradigms in the transport and logistics sector to expand the limited research pursued in this area

    Proposal of a framework for evaluating military surveillance systems for early detection of outbreaks on duty areas

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    <p>Abstract</p> <p>Background</p> <p>In recent years a wide variety of epidemiological surveillance systems have been developed to provide early identification of outbreaks of infectious disease. Each system has had its own strengths and weaknesses. In 2002 a Working Group of the Centers for Disease Control and Prevention (CDC) produced a framework for evaluation, which proved suitable for many public health surveillance systems. However this did not easily adapt to the military setting, where by necessity a variety of different parameters are assessed, different constraints placed on the systems, and different objectives required. This paper describes a proposed framework for evaluation of military syndromic surveillance systems designed to detect outbreaks of disease on operational deployments.</p> <p>Methods</p> <p>The new framework described in this paper was developed from the cumulative experience of British and French military syndromic surveillance systems. The methods included a general assessment framework (CDC), followed by more specific methods of conducting evaluation. These included Knowledge/Attitude/Practice surveys (KAP surveys), technical audits, ergonomic studies, simulations and multi-national exercises. A variety of military constraints required integration into the evaluation. Examples of these include the variability of geographical conditions in the field, deployment to areas without prior knowledge of naturally-occurring disease patterns, the differences in field sanitation between locations and over the length of deployment, the mobility of military forces, turnover of personnel, continuity of surveillance across different locations, integration with surveillance systems from other nations working alongside each other, compatibility with non-medical information systems, and security.</p> <p>Results</p> <p>A framework for evaluation has been developed that can be used for military surveillance systems in a staged manner consisting of initial, intermediate and final evaluations. For each stage of the process parameters for assessment have been defined and methods identified.</p> <p>Conclusion</p> <p>The combined experiences of French and British syndromic surveillance systems developed for use in deployed military forces has allowed the development of a specific evaluation framework. The tool is suitable for use by all nations who wish to evaluate syndromic surveillance in their own military forces. It could also be useful for civilian mobile systems or for national security surveillance systems.</p

    A framework for the integration of green and lean six sigma for superior sustainability performance

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    Evidence suggests that Lean, Six Sigma and Green approaches make a positive contribution to the economic, social and environmental (i.e. sustainability) performance of organizations. However, evidence also suggests that organizations have found their integration and implementation challenging. The purpose of this research is therefore to present a framework that methodically guides companies through a five stages and sixteen steps process to effectively integrate and implement the Green, Lean and Six Sigma approaches to improve their sustainability performance. To achieve this, a critical review of the existing literature in the subject area was conducted to build a research gap, and subsequently develop the methodological framework proposed. The paper presents the results from the application of the proposed framework in four organizations with different sizes and operating in a diverse range of industries. The results showed that the integration of Lean Six Sigma and Green helped the organizations to averagely reduce their resources consumption from 20% to 40% and minimize the cost of energy and mass streams by 7-12%. The application of the framework should be gradual, the companies should assess their weaknesses and strengths, set priorities, and identify goals for successful implementation. This paper is one of the very first researches that presents a framework to integrate Green and Lean Six Sigma at a factory level, and hence offers the potential to be expanded to multiple factories or even supply chains
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