This paper presents a framework for knowledge reuse in a Product-Service Systems design scenario. The project aim is to develop a methodology to capture, represent and reuse knowledge to support product development in a collaborative enterprise context. The three core elements are: design knowledge, manufacturing capability knowledge, and service knowledge. There are three principal components of the proposed methodology. The first is a process based design model: defining design according to specific tasks, and associating previous knowledge with those tasks. The second is manufacturing capability knowledge: supporting feature based design and manufacture through representing machining features, best practices in machining and inspection, and machining capability. The third component is service knowledge: ensuring that design takes account of the service requirement. The developing paradigm of Product-Service Systems and the requirement for co-design of products and services has influenced the structure of the knowledge base, as well as outlining specific service related requirements. This paper presents the proposed knowledge base structure along with a detailed case study in which the proposal was developed and validated.
The Balanced Scorecard (BSC) can be considered as a strategic measurement tool. Many companies have applied it to measure four key aspects of their organisations' performance: financial, customer, internal business process and learning and growth. Although it is widely used in the business arena, this original BSC was not developed to assess the impact of collaborative research projects under an open innovation strategy, where the outputs of research and development developed by collaborative projects undertaken by industry and universities should be measured in a different way. Therefore, this article will propose a scorecard to measure the outcomes of collaborative research and present two case studies of how companies are using this tool to measure the outcomes. It is important to recall that this scorecard has been developed during a collaborative research project by CEMEX Research Group AG (Switzerland) and Cranfield University (UK). During such project, a survey was developed to carry out interviews in a sample of 10 companies in UK, where it was confirmed that a collaborative BSC is a very useful tool to measure, track and improve the impact of conducting collaborative projects with universities. This article is an extended version of the one presented at the PRO-VE'09 conference (Flores et al. 2009. A balanced scorecard for measuring the impact of industry-university collaboration.
This paper presents a newly defined set-based concurrent engineering process, which the authors believe addresses some of the key challenges faced by engineering enterprises in the 21 st century. The main principles of Set-Based Concurrent Engineering (SBCE) have been identified via an extensive literature review. Based on these principles the SBCE baseline model was developed. The baseline model defines the stages and activities which represent the product development process to be employed in the LeanPPD (lean product and process development) project. The LeanPPD project is addressing the needs of European manufacturing companies for a new model that extends beyond lean manufacturing, and incorporates lean thinking in the product design development process.
The manufacturing industry is shifting its emphasis from a traditional supplier of products to a supplier of increasingly integrated products and services, or product-service systems (PSSs). The new paradigm of PSS requires new design methodologies and supporting tools for the effective design and delivery of these enhanced services and integrated PSSs. A case study has been carried out to identify and classify service knowledge applied in practice, both in the service operation and in product design. This paper describes the service issues and service knowledge that has an impact on product design. An initial attempt is made to describe the role of service knowledge in design and also to describe in detail how to apply service knowledge in the conceptual design stage based on an existing requirements management framework modified for this context. This research makes an important contribution to the developing knowledge and information requirements of PSS design.
A Knowledge Based Environment Knowledge-Based Environment to Support Product Design Validation of Refresh Projects (projects with minor changes in respect to previous ones) has been developed on Teamcenter Platform (PLM software). Refresh Projects are around 60% of the total number of projects in the sponsoring company. This implementation will avoid repeating unnecessary and costly physical product tests saving time and costs by at least 10% for these Refresh Projects. The KBEnv has been developed by capturing the relation between design change of refresh projects with their required physical tests and the historical data of previous projects. The KBEnv framework has been implemented on Teamcenter Platform after standardising the documents and maintaining the traceability of decision making process. The KBEnv Framework Implementation is estimated to reduce the overall communication time by 52%, reduce the deviation in output by 45% and enhance confidence in decision making by 20 %.
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