8 resultados para PPML


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The advantages of a COG (Component Object Graphic) approach to the composition of PDF pages have been set out in a previous paper [1]. However, if pages are to be composed in this way then the individual graphic objects must have known bounding boxes and must be correctly placed on the page in a process that resembles the link editing of a multi-module computer program. Ideally the linker should be able to utilize all declared resource information attached to each COG. We have investigated the use of an XML application called Personalized Print Markup Language (PPML) to control the link editing process for PDF COGs. Our experiments, though successful, have shown up the shortcomings of PPML's resource handling capabilities which are currently active at the document and page levels but which cannot be elegantly applied to individual graphic objects at a sub-page level. Proposals are put forward for modifications to PPML that would make easier any COG-based approach to page composition.

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Australia is a leading user of collaborative procurement methods, which are used to deliver large and complex infrastructure projects. Project alliances, Early Contractor Involvement (ECI), and partnering are typical examples of collaborative procurement models. In order to increase procurement effectiveness and value for money (VfM), clients have adopted various learning strategies for new contract development. However client learning strategies and behaviours have not been systematically analysed before. Therefore, the current paper undertakes a literature review addressing the research question “How can client learning capabilities be effectively understood?”. From the resource-based and dynamic capability perspectives, this paper proposes that the collaborative learning capability (CLC) of clients drives procurement model evolution. Learning routines underpinning CLC carry out exploratory, transformative and exploitative learning phases associated with collaborative project delivery. This learning improves operating routines, and ultimately performance. The conceptualization of CLC and the three sequential learning phases is used to analyse the evidence in the construction management literature. The main contribution of this study is the presentation of a theoretical foundation for future empirical studies to unveil effective learning strategies, which help clients to improve the performance of collaborative projects in the dynamic infrastructure market.

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With the current emerging development pattern in Malaysia, Malaysian government has enthusiastically promoted green procurement approach that will help the construction project being green. Previous studies highlighted that the concept of green procurement is still very new to the Malaysian construction industry, and this increases the needs for further research in this area. This paper addresses the needs of guidelines for stakeholders to procure environmentally-friendly construction. Currently, there is a limited practical guideline for stakeholders to procure green projects. This paper discusses the progress to date of a research project aimed at developing a green procurement framework for construction projects in the Malaysian construction industry. This framework will guide the stakeholders to plan the green procurement implementation to procure a construction projects. Through literature and expert opinion, this paper explores the list of green practices within procurement practices which becomes the basis to develop a survey instrument that will be used in the later part of this study. The paper will shed useful information for construction researchers and practitioners in exploring the green procurement concept for construction industry in Malaysia.

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Cost estimating has been acknowledged as a crucial component of construction projects. Depending on available information and project requirements, cost estimates evolve in tandem with project lifecycle stages; conceptualisation, design development, execution and facility management. The premium placed on the accuracy of cost estimates is crucial to producing project tenders and eventually in budget management. Notwithstanding the initial slow pace of its adoption, Building Information Modelling (BIM) has successfully addressed a number of challenges previously characteristic of traditional approaches in the AEC, including poor communication, the prevalence of islands of information and frequent reworks. Therefore, it is conceivable that BIM can be leveraged to address specific shortcomings of cost estimation. The impetus for leveraging BIM models for accurate cost estimation is to align budgeted and actual cost. This paper hypothesises that the accuracy of BIM-based estimation, as more efficient, process-mirrors of traditional cost estimation methods, can be enhanced by simulating traditional cost estimation factors variables. Through literature reviews and preliminary expert interviews, this paper explores the factors that could potentially lead to more accurate cost estimates for construction projects. The findings show numerous factors that affect the cost estimates ranging from project information and its characteristic, project team, clients, contractual matters, and other external influences. This paper will make a particular contribution to the early phase of BIM-based project estimation.

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This paper presents an approach, based on Lean production philosophy, for rationalising the processes involved in the production of specification documents for construction projects. Current construction literature erroneously depicts the process for the creation of construction specifications as a linear one. This traditional understanding of the specification process often culminates in process-wastes. On the contrary, the evidence suggests that though generalised, the activities involved in producing specification documents are nonlinear. Drawing on the outcome of participant observation, this paper presents an optimised approach for representing construction specifications. Consequently, the actors typically involved in producing specification documents are identified, the processes suitable for automation are highlighted and the central role of tacit knowledge is integrated into a conceptual template of construction specifications. By applying the transformation, flow, value (TFV) theory of Lean production the paper argues that value creation can be realised by eliminating the wastes associated with the traditional preparation of specification documents with a view to integrating specifications in digital models such as Building Information Models (BIM). Therefore, the paper presents an approach for rationalising the TFV theory as a method for optimising current approaches for generating construction specifications based on a revised specification writing model.

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The Lugnetgymnasium in Falun has a graphic education that supplies a color printer, which is availablefor the students in their hall. The printer is a Ricoh AFC 6513 and it is a model that can handlevariable data. It was bought in the autumn of 2002. The teachers of the graphic education want to makeuse of the variable data function and procure a variable data software. The purpose of this project is toevaluate variable data software’s, so that the most suitable choice of software can be made for the graphiceducation. To be able to make this choice, criterions has been made what the variable data softwarewill fulfil. Different software’s of variable data has been examined and a summary was made whichtells what software that fulfils all the criterions. The software’s that seemed appropriate for the graphiceducation were PrintShop Mail and Personalizer-X. Adecision which one of these software’s thatwill be purchase was made by the teachers on the graphic education. Tests and a more detailed studyon the software’s have been done. The information has later been presented for the teachers. They madea decision, which were Personalizer-X. After this decision, an easier manual for Personalizer-X wasmade. The purpose with the manual is that the students on the graphic education, quickly and easy canget started with the use of variable data.

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Variable Data Printing (VDP) has brought new flexibility and dynamism to the printed page. Each printed instance of a specific class of document can now have different degrees of customized content within the document template. This flexibility comes at a cost. If every printed page is potentially different from all others it must be rasterized separately, which is a time-consuming process. Technologies such as PPML (Personalized Print Markup Language) attempt to address this problem by dividing the bitmapped page into components that can be cached at the raster level, thereby speeding up the generation of page instances. A large number of documents are stored in Page Description Languages at a higher level of abstraction than the bitmapped page. Much of this content could be reused within a VDP environment provided that separable document components can be identified and extracted. These components then need to be individually rasterisable so that each high-level component can be related to its low-level (bitmap) equivalent. Unfortunately, the unstructured nature of most Page Description Languages makes it difficult to extract content easily. This paper outlines the problems encountered in extracting component-based content from existing page description formats, such as PostScript, PDF and SVG, and how the differences between the formats affects the ease with which content can be extracted. The techniques are illustrated with reference to a tool called COG Extractor, which extracts content from PDF and SVG and prepares it for reuse.

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BIM has received considerable attention from academics and innovative construction companies in recent years within the Iranian context. However, there is a conspicuous lack of studies, which give a picture of the current state of BIM in Iran. To address this gap in the body of the knowledge, this study intends to present an account on the current state of BIM with a focus on barriers and drivers associated with its adoption in Iran based on the perceptions of Iranian construction practitioners. Drawing upon a questionnaire survey completed by 44 construction practitioners and through deploying data visualization alongside statistical analyses, it came to light that industry practitioners in Iran are inexperienced as to BIM’s use and the level of BIM implementation in the country is at the lowest level of BIM maturity. That is, 29.5% of construction companies are involved in some level of BIM adoption whereas 56.8% have had no exposure to BIM and 36.4% do not even have any plans to adopt BIM in the near future. The findings also showed that the highest ranked barriers to adoption of BIM in Iran are almost entirely associated with the structure of the Iranian market, the nature of the construction industry and the predominant business environment in the country as well as lack of attention by policy makers and the government. On the other hand, major drivers were found to be associated with monetary gains and enhancing competitiveness in the market. The clear message is that widespread adoption of BIM in Iran will not occur in the absence of a supportive regulatory environment and financial assistance by policy makers. The paper contributes to the field by sharing the preliminary findings of the first study conducted on BIM adoption in Iran, which provides a sound basis for further inquiries on the topic.