877 resultados para project management


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Although the various tools and techniques of quality management are routinely deployed in order to improve healthcare quality, an integrated approach is lacking, which combines the customer focus to identify quality issues, analytical techniques for prioritising improvement measures and a project management approach to plan, implement and evaluate the improvement projects. This study develops an innovative framework using Quality Function Deployment (QFD) and a logical framework in order to address this issue, and demonstrates its effectiveness using a case study on the intensive care unit of a hospital.

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As levels of investment in advanced manufacturing systems increase, effective project management becomes ever more critical. This paper demonstrates how the model proposed by Mintzberg, Raisinghani and Theoret in 1976, which structures complicated strategic decision processes, can be applied to the design of new production systems for both descriptive and analytical research purposes. This paper sets a detailed case study concerning the design and development of an advanced manufacturing system within the Mintzberg decision model and so breaks down the decision sequence into constituent parts. It thus shows how a structured model can provide a framework for the researcher who wishes to study decision episodes in the design of manufacturing facilities in greater depth.

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Purpose – The purpose of this paper is to help managers to successfully plan, implement, and operate enterprise resource planning (ERP) projects using a risk management framework. Design/methodology/approach – This paper adopted a combined literature review and case study method. Using literature review, the paper first identified major issues of managing ERP projects and develops a risk management framework for managing those issues. The proposed risk management framework was then applied to a ERP implementation project of a UK-based energy services group and its effectiveness for managing ERP projects implementation had been demonstrated. Additionally, the risk factors as identified from the case application are compared with the risk factors from the previous researches so as to suggest mitigating measures. Findings – All the risk factors are categorized into planning, implementation and operations phases along with project processes, organizational transformation and information technology (IT) perspectives. Project implementation phase is the most vulnerable to failure. The case study results reveal that the effect of other projects on on-going ERP project, management of overall IT architecture and non-availability of resources for organizational transformation are most critical from likelihood and impact perspectives. Managing risk across various phases of project and equal emphasize to effective project management, organizational transformation and IT adoption are the key to success in ERP implementation. Practical implications – The risk factors, which were identified using literature review and the case study, have great significance as mitigating measures of those risks may result successful implementation of ERP projects in the industry. Additionally, proposed risk management framework could be customized to implement ERP projects elsewhere. Originality/value – ERP projects are risky as they are capital intensive, technically complex, and call for organizational transformation. There are both success and failure stories. However, both researchers and practitioners agree, that if it can be implemented and operated successfully and benefits should be achievable. Although there are many studies on ERP implementation, little has been discussed on managing risks of ERP projects. Therefore, this paper bridges the gap.

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The control needed in the management of a project was analysed with particular reference to the unique needs of the construction industry within the context of site management. This was explored further by analysing the various problems facing managers within the overall system and determining to what extent the organisation would benefit from an integrated mangement information system. Integration and management of information within the organisational units and the cycles of events that make up the main sub-system was suggested as the means of achieving this objective. A conceptual model of the flow of information was constructed within the whole process of project management by examining the type of information and documents which are generated for the production cycle of a project. This model was analysed with respect to the site managers' needs and the minimum requirements for an overall integrated system. The most tedious and time-consuming task facing the site manager is the determination of weekly production costs, calculation and preparation of interim certificates and valuation of variations occurring during the production stage and finally the settlement and preparation of supplier and sub-contractors' accounts. These areas where microcomputers could be of most help were identified and a number of packages were designed and implemented for various contractors. The gradual integration of stand-alone packages within the whole of the construction industry is a logical sequence to achieve integration of management system. The methods of doing this were analysed together with the resulting advantages and disadvantages.

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The research described here concerns the development of metrics and models to support the development of hybrid (conventional/knowledge based) integrated systems. The thesis argues from the point that, although it is well known that estimating the cost, duration and quality of information systems is a difficult task, it is far from clear what sorts of tools and techniques would adequately support a project manager in the estimation of these properties. A literature review shows that metrics (measurements) and estimating tools have been developed for conventional systems since the 1960s while there has been very little research on metrics for knowledge based systems (KBSs). Furthermore, although there are a number of theoretical problems with many of the `classic' metrics developed for conventional systems, it also appears that the tools which such metrics can be used to develop are not widely used by project managers. A survey was carried out of large UK companies which confirmed this continuing state of affairs. Before any useful tools could be developed, therefore, it was important to find out why project managers were not using these tools already. By characterising those companies that use software cost estimating (SCE) tools against those which could but do not, it was possible to recognise the involvement of the client/customer in the process of estimation. Pursuing this point, a model of the early estimating and planning stages (the EEPS model) was developed to test exactly where estimating takes place. The EEPS model suggests that estimating could take place either before a fully-developed plan has been produced, or while this plan is being produced. If it were the former, then SCE tools would be particularly useful since there is very little other data available from which to produce an estimate. A second survey, however, indicated that project managers see estimating as being essentially the latter at which point project management tools are available to support the process. It would seem, therefore, that SCE tools are not being used because project management tools are being used instead. The issue here is not with the method of developing an estimating model or tool, but; in the way in which "an estimate" is intimately tied to an understanding of what tasks are being planned. Current SCE tools are perceived by project managers as targetting the wrong point of estimation, A model (called TABATHA) is then presented which describes how an estimating tool based on an analysis of tasks would thus fit into the planning stage. The issue of whether metrics can be usefully developed for hybrid systems (which also contain KBS components) is tested by extending a number of "classic" program size and structure metrics to a KBS language, Prolog. Measurements of lines of code, Halstead's operators/operands, McCabe's cyclomatic complexity, Henry & Kafura's data flow fan-in/out and post-release reported errors were taken for a set of 80 commercially-developed LPA Prolog programs: By re~defining the metric counts for Prolog it was found that estimates of program size and error-proneness comparable to the best conventional studies are possible. This suggests that metrics can be usefully applied to KBS languages, such as Prolog and thus, the development of metncs and models to support the development of hybrid information systems is both feasible and useful.

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The process framework comprises three phases, as follows: scope the supply chain/network; identify the options for supply system architecture and select supply system architecture. It facilitates a structured approach that analyses the supply chain/network contextual characteristics, in order to ensure alignment with the appropriate supply system architecture. The process framework was derived from comprehensive literature review and archival case study analysis. The review led to the classification of supply system architectures according to their orientation, whether integrated; partially integrated; co-ordinated or independent. The classification was combined with the characteristics that influence the selection of supply system architecture to encapsulate the conceptual framework. It builds upon existing frameworks and methodologies by focusing on structured procedure; supporting project management; facilitating participation and clarifying point of entry. The process framework was initially tested in three case study applications from the food, automobile and hand tool industries. A variety of industrial settings was chosen to illustrate transferability. The case study applications indicate that the process framework is a valid approach to the problem; however, further testing is required. In particular, the use of group support system technologies to support the process and the steps involving the participation of software vendors need further testing. However, the process framework can be followed due to the clarity of its presentation. It considers the issue of timing by including alternative decision-making techniques, dependent on the constraints. It is useful for ensuring a sound business case is developed, with supporting documentation and analysis that identifies the strategic and functional requirements of supply system architecture.

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The purpose of this research has been to investigate the extent to which Lean techniques have been applied to indirect or White Collar activities within manufacturing operations. The work has been based on a systematic review of the literature and six UK based case studies. Both are described in the paper. The findings from this work include, for example, that there are few reports off the application of Lean in this context. The more substantive papers focus on NPI and Project Management, where as, Support and ‘Front Office’ activities are covered only briefly in ‘trade journal’ articles. These do demonstrate that Lean techniques can be applied successfully to non-production related activities, and there are significant opportunities for work in this area. However, the definition of Lean is evolving and practitioners do not share a common understanding of terminology. This may undermine their accuracy when reporting the application of Lean techniques.

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Purpose – This paper reports the study of key success factors (KSFs) in the project management of the implementation of strategic manufacturing initiatives (SMIs). Design/methodology/approach – In order to gather the experience and knowledge of many industries, from different geographic locations, in a broad range of types and sizes of SMIs, a questionnaire-based survey of practitioners worldwide was selected as the most appropriate research method among those available. Findings – The identification of those tasks and activities that must be done well in order to succeed in the implementation of a SMI in practice. Practical implications – Practitioners focusing their attention on the KSFs identified are more likely to succeed. Once these factors have been identified, the value of benchmarking project management methodologies then comes from drawing attention to those tasks that are key to the success of the implementation of SMIs. Originality/value – The paper presents new thinking by bringing project management into the operations strategy implementation literature as an important mediating factor for success. In this context the factors that are required for successful implementation are identified.

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World-wide efforts have been made to adopt BIM (Building Information Modelling) to improve the efficiency of construction project management processes lively. BIM means a shared digitized expression which provides a reliable source to make an informed decision over a physical or a functional character across all construction sectors including design, civil engineering and plant construction. The Korean Public Procurement Service mandates to use BIM for over 50 billion won public construction projects from 2012, and this will be extended to every project initiated by the Korean Public Procurement Service from 2016. This paper aims not only to investigate potential barriers which can be faced at the initial stage of BIM adoption, but also to explore possible solutions against them. For doing this, the BIM utilization strategies and action plans by US and UK public sectors which adopt BIM earlier than Korea were analysed. Based on the results of comparative analysis between US and UK, the proper guideline for BIM adoption in Korea will be suggested.

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Thus far, achieving net biodiversity gains through major urban developments has been neither common nor straightforward - despite the presence of incentives, regulatory contexts, and ubiquitous practical guidance tools. A diverse set of obstructions, occurring within different spatial, temporal and actor hierarchies, are experienced by practitioners and render the realisation of maximised biodiversity, a rarity. This research aims to illuminate why this is so, and what needs to be changed to rectify the situation. To determine meaningful findings and conclusions, capable of assisting applied contexts and accommodating a diverse range of influences, a ‘systems approach’ was adopted. This approach led to the use of a multi-strategy research methodology, to identify the key obstructions and solutions to protecting and enhancing biodiversity - incorporating the following methods: action research, a questionnaire to local government ecologists, interviews and personal communications with leading players, and literature reviews. Nevertheless, ‘case studies’ are the predominant research method, the focus being a ‘nested’ case study looking at strategic issues of the largest regeneration area in Europe ‘the Thames Gateway’, and the largest individual mixeduse mega-development in the UK (at the time of planning consent) ‘Eastern Quarry 2’ - set within the Gateway. A further key case study, focussing on the Central Riverside development in Sheffield, identifies the merits of competition and partnership. The nested cases, theories and findings show that the strategic scale - generally relating to governance and prioritisation - impacts heavily upon individual development sites. It also enables the identification of various processes, mechanisms and issues at play on the individual development sites, which primarily relate to project management, planning processes, skills and transdisciplinary working, innovative urban biodiversity design capabilities, incentives, organisational cultures, and socio-ecological resilience. From these findings a way forward is mapped, spanning aspects from strategic governance to detailed project management.

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Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making. The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing. While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.

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Enterprise Resource Planning (ERP) projects are strategic and capital intensive, so failure may be costly and even cause bankruptcy of companies. Previous studies have proposed ways for improving implementation, but they are mostly generic and follow standardized project management practices as specified in various standards (e.g. the “project management body of knowledge” of the Project Management Institute). Because ERP is interdisciplinary (involving change management, project management and information technology management), it warrants a customized approach to managing risks throughout the life cycle of implementation and operation. Through a practical case study, this paper demonstrates a qualitative, user friendly approach to ERP project risk management. Firstly, through a literature review it identifies various risk factors in ERP implementation. Secondly, the risk management practices of a UK-based multinational consulting company in one of its clients are evaluated. The risk factors from the case study organization and literature are then compared and discussed.

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Completing projects faster than the normal duration is always a challenge to the management of any project, as it often demands many paradigm shifts. Opportunities of globalization, competition from private sectors and multinationals force the management of public sector organizations in the Indian petroleum sector to take various aggressive strategies to maintain their profitability. Constructing infrastructure for handling petroleum products is one of them. Moreover, these projects are required to be completed in faster duration compared to normal schedules to remain competitive, to get faster return on investment, and to give longer project life. However, using conventional tools and techniques of project management, it is impossible to handle the problem of reducing the project duration from a normal period. This study proposes the use of concurrent engineering in managing projects for radically reducing project duration. The phases of the project are accomplished concurrently/simultaneously instead of in a series. The complexities that arise in managing projects are tackled through restructuring project organization, improving management commitment, strengthening project-planning activities, ensuring project quality, managing project risk objectively and integrating project activities through management information systems. These would not only ensure completion of projects in fast track, but also improve project effectiveness in terms of quality, cost effectiveness, team building, etc. and in turn overall productivity of the project organization would improve.

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Time, cost and quality are the prime objectives of any project. Unfortunately, today’s project management does not always ensure the realisation of these objectives. The main reasons of project non-achievement are changes in scope and design, changes in Government policies and regulations, unforeseen inflation, under-estimation and mis-estimation. An overall organisational approach with the application of appropriate management philosophies, tools and techniques can only solve the problem. The present study establishes a methodology for achieving success in implementing projects using a business process re-engineering (BPR) framework. Internal performance characteristics are introspected through condition diagnosis that identifies and prioritises areas of concern requiring attention. Process re-engineering emerges as a most critical area for immediate attention. Project process re-engineering is carried out by eliminating non-value added activities, taking up activities concurrently by applying information systems rigorously and applying risk management techniques throughout the project life cycle. The overall methodology is demonstrated through applications to cross country petroleum pipeline project organisation in an Indian scenario.