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  <doc>
    <id>2020</id>
    <completedYear>2025</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>223</pageFirst>
    <pageLast>230</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Hochschule für Technik, Wirtschaft und Kultur</publisherName>
    <publisherPlace>Leipzig</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Unveiling automation potential through a better understanding&#13;
of ideal cycle time</title>
    <abstract language="eng">This publication demonstrates that determining the maximum speed or Ideal Cycle Time (ICT) of machinery or cyber-physical systems is crucial for uncovering the limits of automation in a given system. Possibly increasing Overall Equipment Effectiveness (OEE) and identify opportunities for further digitization, automation, and AI integration. Based on literature review and expert interviews, methods for establishing ICT, mentioned in literature were identified and crosscheck with what practitioners in operation actually use and how they apply them. The identified methods were: Empirical Measurement and Data Analysis, Time Studies, Statistical Process Control (SPC), Benchmarking, Simulation and Modeling, Expert Judgment, and Continuous Improvement Practices we. We contrast these with insights obtained from interviews conducted with experts from companies in the German federal State of Brandenburg, representing diverse industries and sectors. Findings suggest that while companies recognize somewhat their ICT or maximum operational speeds, they often lack a structured method for determining them. They frequently use combinations of established methods inconsistently. We deduce that a formalized approach to defining ICT can better reveal system limitations and potential for expanding them through advanced automation and. We argue that a well-defined ICT is essential for pushing the boundaries of automated systems, contributing to more effective and Humanity–Centered Automation (HCA) solutions.</abstract>
    <parentTitle language="eng">Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter</parentTitle>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-20205</identifier>
    <enrichment key="opus.import.date">2025-03-03T07:56:24+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.33968/2025.24</enrichment>
    <enrichment key="SourceTitle">Wilbers, S., Kupper, S., Günther, N., van de Sand, R., Prell, B., Speck, S., &amp; Reiff-Stephan, J. (2025). Unveiling automation potential through a better understanding of ideal cycle time. In J. Reiff-Stephan, J. Jäkel, &amp; D. Reichelt, Tagungsband AALE 2025 : menschenzentrierte Automation im digitalen Zeitalter (pp. 223–230). Leipzig: Hochschule für Technik, Wirtschaft und Kultur. doi:10.33968/2025.24</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Simon Wilbers</author>
    <author>Stefan Kupper</author>
    <author>Norman Günther</author>
    <author>Ron van de Sand</author>
    <author>Bastian Prell</author>
    <author>Sandy Speck</author>
    <author>Jörg Reiff-Stephan</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automation limit</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automation potential</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>humanity-centered automation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ideal Cycle Time</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>manufacturing system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>overall equipment effectiveness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cyber-physical system</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="670">Industrielle Fertigung</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/2020/2020.pdf</file>
  </doc>
</export-example>
