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Abstract:Abstract.A study focusing on the three factors of product lifecycle management (PLM) is being presented. The selected factors are maturity of adoption, systems' architectures and product lifecycle (PLC) related businesses. The research material comes from six globally operating companies. The applied data collection method is the synthesis of interviews, benchmarking, and peerreviewing the case companies. The material is analyzed with the application of comparative case study method. Modern PLM systems manage … Show more
“…The increasing sophistication of CAD tools has made it easier and faster to design products made up of more and more complicated and intricate parts. Without sufficient experience or guidance, today's designer runs the risk of developing product designs that are unnecessarily difficult to produce [6,8,9]. Fischer [2] stated "Designs are created for a purpose."…”
Section: Challenges: Data Models and Design Intentmentioning
Knowledge builds on data and/or information that is organized and processed to convey understanding, experience, accumulated learning and expertise. At the moment, the volumes of data and information are quickly growing uncontrollably. The sheer amount of data, that lacks the structure, connectivity and intent, cannot be utilized efficiently later on. There is ever the greater need to transfer this unstructured mass of bits and bytes to meaningful information and to human understandable knowledge, as it is understood in the industry. However, there are major challenges in understanding the essence of information flow that should connect the different design departments and activities to be part of the life-time information of a product, including its processes and services. The paper introduces a vision where the semantically rich product-process information flows through the life-cycle phases – design, manufacturing, services – of a product or a system, and thus increases the content knowledge.
“…The increasing sophistication of CAD tools has made it easier and faster to design products made up of more and more complicated and intricate parts. Without sufficient experience or guidance, today's designer runs the risk of developing product designs that are unnecessarily difficult to produce [6,8,9]. Fischer [2] stated "Designs are created for a purpose."…”
Section: Challenges: Data Models and Design Intentmentioning
Knowledge builds on data and/or information that is organized and processed to convey understanding, experience, accumulated learning and expertise. At the moment, the volumes of data and information are quickly growing uncontrollably. The sheer amount of data, that lacks the structure, connectivity and intent, cannot be utilized efficiently later on. There is ever the greater need to transfer this unstructured mass of bits and bytes to meaningful information and to human understandable knowledge, as it is understood in the industry. However, there are major challenges in understanding the essence of information flow that should connect the different design departments and activities to be part of the life-time information of a product, including its processes and services. The paper introduces a vision where the semantically rich product-process information flows through the life-cycle phases – design, manufacturing, services – of a product or a system, and thus increases the content knowledge.
“…Product lifecycle management (PLM) in global manufacturing companies has been studied through the analysis of nine industrial cases. Six of them were analyzed in 2011 by Pulkkinen et al [1] and three new companies are analyzed in this follow-up study in 2014 and 2015. The focused factors of PLM were the maturity of PLM, business types and PLM systems' architectures.…”
Part 15: PLM Processes and ApplicationsInternational audienceThis paper presents findings of two research projects, which study current PLM practices and future PLM challenges of global manufacturing companies.This study focuses on maturity of PLM adoption, PLM system architectures and integrations between the tools and seeks a better understanding of a real business phenomenon by comparing case companies to models presented in literature. Data was collected by interviews and benchmarking sessions in six plus three companies in two projects. The companies are categorized by using a four level PLM maturity model.This research indicates that the PLM adoption maturity and architecture models are related to the effectiveness of PLM usage. Service and project businesses seem to be challenging aspects. This is because PLM systems are mainly used in beginning of life activities of the product. In the future also the end of life and middle of life activities should receive more support from the tools and software
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