81,168 research outputs found

    Using Axiomatic Design for the Development of Product Configuration Systems

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    In order to meet a wide range of customer requirements in product development, a high degree of individualization is necessary today, which can be achieved with product configuration systems. Knowledge-based CAD models are a useful tool for implementing such configurators, but they are significantly more complex to develop than conventional parametric CAD models. To master this complexity, this article examines the use of the axiomatic design approach for the development of a configurator for a skip loader. In combination with the parameter space matrix, an application-oriented methodology is derived which is suitable for the development of similar configuration systems

    Design Change Model for Effective Scheduling Change Propagation Paths

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    Changes in requirements may result in the increasing of product development project cost and lead time, therefore, it is important to understand how requirement changes propagate in the design of complex product systems and be able to select best options to guide design. Currently, a most approach for design change is lack of take the multi-disciplinary coupling relationships and the number of parameters into account integrally. A new design change model is presented to systematically analyze and search change propagation paths. Firstly, a PDS-Behavior-Structure-based design change model is established to describe requirement changes causing the design change propagation in behavior and structure domains. Secondly, a multi-disciplinary oriented behavior matrix is utilized to support change propagation analysis of complex product systems, and the interaction relationships of the matrix elements are used to obtain an initial set of change paths. Finally, a rough set-based propagation space reducing tool is developed to assist in narrowing change propagation paths by computing the importance of the design change parameters. The proposed new design change model and its associated tools have been demonstrated by the scheduling change propagation paths of high speed train’s bogie to show its feasibility and effectiveness. This model is not only supportive to response quickly to diversified market requirements, but also helpful to satisfy customer requirements and reduce product development lead time. The proposed new design change model can be applied in a wide range of engineering systems design with improved efficiency

    A review of information flow diagrammatic models for product-service systems

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    A product-service system (PSS) is a combination of products and services to create value for both customers and manufacturers. Modelling a PSS based on function orientation offers a useful way to distinguish system inputs and outputs with regards to how data are consumed and information is used, i.e. information flow. This article presents a review of diagrammatic information flow tools, which are designed to describe a system through its functions. The origin, concept and applications of these tools are investigated, followed by an analysis of information flow modelling with regards to key PSS properties. A case study of selection laser melting technology implemented as PSS will then be used to show the application of information flow modelling for PSS design. A discussion based on the usefulness of the tools in modelling the key elements of PSS and possible future research directions are also presented

    NOSQL design for analytical workloads: Variability matters

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    Big Data has recently gained popularity and has strongly questioned relational databases as universal storage systems, especially in the presence of analytical workloads. As result, co-relational alternatives, commonly known as NOSQL (Not Only SQL) databases, are extensively used for Big Data. As the primary focus of NOSQL is on performance, NOSQL databases are directly designed at the physical level, and consequently the resulting schema is tailored to the dataset and access patterns of the problem in hand. However, we believe that NOSQL design can also benefit from traditional design approaches. In this paper we present a method to design databases for analytical workloads. Starting from the conceptual model and adopting the classical 3-phase design used for relational databases, we propose a novel design method considering the new features brought by NOSQL and encompassing relational and co-relational design altogether.Peer ReviewedPostprint (author's final draft

    The development of an analytical tool for integrating 'the voice of the consumer' in new product development

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    The development of new products and how the process is organised and managed within the firm is a key area in management research due to the high failure rate of new products and the consequent waste of limited resources. Developing new products and being innovative requires companies to have deep understanding of the consumer, the market and the environment but most importantly to effectively apply this knowledge in the development of new products that meet consumer's expectations. This paper aims at developing an innovative framework to incorporate the 'voice of consumer' at early stages of the new product development (NPD) process. To that end, the paper will consider the practical implementation of the Quality Function Deployment (QFD) in the development of new food products. QFD is considered as the most complete and comprehensive methodology for planning the goals of a stream of processes in order to align them with customer's requirements. QFD forces the design team to place customer needs in first place and ensures that this customer focus is kept through the NPD process. In doing so, QFD reduces two types of risks: first, the non- correspondence between product specifications and the wants of a predetermined target consumer group; and second, the risk that final products do not comply with product specifications. To date, QFD has been partially applied in the food area with only a handful of studies venturing in this research area.quality function deployment, new product development, voice of consumer., Consumer/Household Economics, Demand and Price Analysis,

    A QFD framework for quality, innovation and high-tech product development dynamics

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    The customer mostly chooses a product on the base of its quality, which therefore arises as the main cause of its commercial success. In a nearly axiomatic drawing, it follows that the effect of innovation is the improvement of quality, which itself becomes the aim of innovation. Even though the previous statement relates quality and innovation, it still does not explain their dynamics. To stress them, the ‘quality' concept must be analyzed in more detail. In fact, in addition to the ‘perceived quality', the quality ensured through `design, manufacturing and marketing' combined domains should be dealt with. This paper enhances this issue taking advantage of principles and models made available by control theory schemes coupled with quality function development (QFD) and best practice software modeling based on unified modeling language (UML

    An assembly oriented design framework for product structure engineering and assembly sequence planning

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    The paper describes a novel framework for an assembly-oriented design (AOD) approach as a new functional product lifecycle management (PLM) strategy, by considering product design and assembly sequence planning phases concurrently. Integration issues of product life cycle into the product development process have received much attention over the last two decades, especially at the detailed design stage. The main objective of the research is to define assembly sequence into preliminary design stages by introducing and applying assembly process knowledge in order to provide an assembly context knowledge to support life-oriented product development process, particularly for product structuring. The proposed framework highlights a novel algorithm based on a mathematical model integrating boundary conditions related to DFA rules, engineering decisions for assembly sequence and the product structure definition. This framework has been implemented in a new system called PEGASUS considered as an AOD module for a PLM system. A case study of applying the framework to a catalytic-converter and diesel particulate filter sub-system, belonging to an exhaust system from an industrial automotive supplier, is introduced to illustrate the efficiency of the proposed AOD methodology
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