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    <pageFirst>73</pageFirst>
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    <title language="eng">Efficient data acquisition for traceability and analytics</title>
    <abstract language="eng">Implementing processes for traceability is required in various industries to assure product quality during manufacturing, provide evidence on required processing conditions or facilitate product recalls. Commonly, radio-frequency identification (RFID) or code recognition techniques (e.g. Data Matrix) are applied to track the flow of workpieces through a manufacturing system and link processing data accordingly. Although the analysis of tracking data is well-examined, we still see a gap in the research on the trade-off between data acquisition, data analytics and data quality. Here, we present a framework to increase the value of existing data by enabling data analytics while addressing common pitfalls and reducing the costs of data management.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
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    <enrichment key="opus.import.data">@articleREINHARDT202473, title = Efficient data acquisition for traceability and analytics, journal = Procedia CIRP, volume = 122, pages = 73-78, year = 2024, note = 31st CIRP Conference on Life Cycle Engineering, issn = 2212-8271, doi = https://doi.org/10.1016/j.procir.2024.01.011, url = https://www.sciencedirect.com/science/article/pii/S2212827124000234, author = Heiner Reinhardt and Mahtab Mahdaviasl and Bastian Prell and Anton Mauersberger and Philipp Klimant and Jörg Reiff-Stephan and Steffen Ihlenfeldt, keywords = Identification, Knowledge management, Manufacturing system, Process control, Quality assurance, Sustainable development, Decision making, Complexity, Analysis, Design, abstract = Implementing processes for traceability is required in various industries to assure product quality during manufacturing, provide evidence on required processing conditions or facilitate product recalls. Commonly, radio-frequency identification (RFID) or code recognition techniques (e.g. Data Matrix) are applied to track the flow of workpieces through a manufacturing system and link processing data accordingly. Although the analysis of tracking data is well-examined, we still see a gap in the research on the trade-off between data acquisition, data analytics and data quality. Here, we present a framework to increase the value of existing data by enabling data analytics while addressing common pitfalls and reducing the costs of data management.</enrichment>
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    <enrichment key="SourceTitle">Reinhardt, H., Mahdaviasl, M., Prell, B., Mauersberger, A., Klimant, P., Reiff-Stephan, J., &amp; Ihlenfeldt, S. (2024). Efficient data acquisition for traceability and analytics. Procedia CIRP, 122, 73–78. doi:10.1016/j.procir.2024.01.011</enrichment>
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    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Heiner Reinhardt</author>
    <author>Mahtab Mahdaviasl</author>
    <author>Bastian Prell</author>
    <author>Anton Mauersberger</author>
    <author>Philipp Klimant</author>
    <author>Jörg Reiff-Stephan</author>
    <author>Steffen Ihlenfeldt</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>identification</value>
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    <subject>
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      <value>knowledge management</value>
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      <value>quality assurance</value>
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      <value>sustainable development</value>
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      <value>decision making</value>
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      <language>eng</language>
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      <value>complexity</value>
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      <value>analysis</value>
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      <value>design</value>
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    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
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    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
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  <doc>
    <id>1752</id>
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    <language>eng</language>
    <pageFirst>101</pageFirst>
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    <title language="eng">A survey on sustainability approaches in manufacturing</title>
    <abstract language="eng">Awareness about climate change has led to policies and regulations but also customer preferences favoring sustainable production. Thus, producing businesses are confronted by this, as they consume a large share of resources. Therefore, when producing, additional dimensions beyond commercial feasibility ought to be considered. Here, literature on sustainability from the field of engineering science is systematically searched and analyzed for approaches leading to actual recommendations for action. Hence, this bottom-up approach, incorporating the production engineers’ point of view, represents an inside view of how the topic of sustainability has arrived at production companies. The focus on commercial feasibility ensures high relevance to practice, as production needs to become both sustainable and competitive. Even though exemplary collections of different approaches addressing the topic of sustainability in production can be found in literature, novelty is provided by the structured manner literature was collected and the special focus on approaches leading to practice-relevant recommendations for action. Thus, a comprehensive overview of approaches applicable to the manufacturing domain is presented.</abstract>
    <parentTitle language="eng">Procedia CIRP</parentTitle>
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    <enrichment key="SourceTitle">Prell, B., Reinhardt, H., Mauersberger, A., Rauscher, A., Reiff-Stephan, J., &amp; Ihlenfeldt, S. (2023). A survey on sustainability approaches in manufacturing. Procedia CIRP, 116, 101–106. doi:10.1016/j.procir.2023.02.018</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Bastian Prell</author>
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    <author>Anton Mauersberger</author>
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    <author>Steffen Ihlenfeldt</author>
    <subject>
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      <value>production</value>
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      <value>sustainable development</value>
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    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
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    <collection role="green_open_access" number="3">Diamond Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
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