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Cichocki M, Landschützer C (2023). Leveraging Advanced Technologies in Industrial Composting Plants: Exploring Technical and Logistical Opportunities to Achieve Industry 4.0 Standards. Logistics Journal : referierte Veröffentlichungen, Vol. 2023. (urn:nbn:de:0009-14-57989)

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%0 Journal Article
%T Leveraging Advanced Technologies in Industrial Composting Plants: Exploring Technical and Logistical Opportunities to Achieve Industry 4.0 Standards
%A Cichocki, Max
%A Landschützer, Christian
%J Logistics Journal : referierte Veröffentlichungen
%D 2023
%V 2023
%N 1
%@ 2192-9084
%F cichocki2023
%X This research explores technical and logistical opportunities to achieve Industry 4.0 standards at industrial composting plants through a model-based systems engineering (MBSE) approach. As traditional composting methods rely heavily on manual labor, increased automation and innovation are necessary to meet evolving industry demands. Thus, the present study shows the advancements in the development of an autonomous compost turners through the introduction of an Industrial Internet of Things (IIoT) module. The module was methodically designed using the MBSE approach, and is intended to manage the acquisition, processing, web-server transmission, and display of compost data. The study demonstrates the successful deployment of the IIoT module within an industrial environment, showing that the adoption of MBSE contributes to improving communication, reducing risk, and increasing efficiency during the engineering development phase. Thus, the implementation of these technologies significantly improves waste management processes, reduces manual labor reliance, and enhances operational efficiency.
%L 620
%K Automation
%K Automatisierung
%K Compost
%K IIoT
%K Industrie 4.0
%K Industry 4.0
%K Kompost
%K Logistics
%K Logistik
%R 10.2195/lj_proc_cichocki_en_202310_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-57989
%U http://dx.doi.org/10.2195/lj_proc_cichocki_en_202310_01

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Bibtex

@Article{cichocki2023,
  author = 	"Cichocki, Max
		and Landsch{\"u}tzer, Christian",
  title = 	"Leveraging Advanced Technologies in Industrial Composting Plants: Exploring Technical and Logistical Opportunities to Achieve Industry 4.0 Standards",
  journal = 	"Logistics Journal : referierte Ver{\"o}ffentlichungen",
  year = 	"2023",
  volume = 	"2023",
  number = 	"1",
  keywords = 	"Automation; Automatisierung; Compost; IIoT; Industrie 4.0; Industry 4.0; Kompost; Logistics; Logistik",
  abstract = 	"This research explores technical and logistical opportunities to achieve Industry 4.0 standards at industrial composting plants through a model-based systems engineering (MBSE) approach. As traditional composting methods rely heavily on manual labor, increased automation and innovation are necessary to meet evolving industry demands. Thus, the present study shows the advancements in the development of an autonomous compost turners through the introduction of an Industrial Internet of Things (IIoT) module. The module was methodically designed using the MBSE approach, and is intended to manage the acquisition, processing, web-server transmission, and display of compost data. The study demonstrates the successful deployment of the IIoT module within an industrial environment, showing that the adoption of MBSE contributes to improving communication, reducing risk, and increasing efficiency during the engineering development phase. Thus, the implementation of these technologies significantly improves waste management processes, reduces manual labor reliance, and enhances operational efficiency.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_proc_cichocki_en_202310_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-57989"
}

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RIS

TY  - JOUR
AU  - Cichocki, Max
AU  - Landschützer, Christian
PY  - 2023
DA  - 2023//
TI  - Leveraging Advanced Technologies in Industrial Composting Plants: Exploring Technical and Logistical Opportunities to Achieve Industry 4.0 Standards
JO  - Logistics Journal : referierte Veröffentlichungen
VL  - 2023
IS  - 1
KW  - Automation
KW  - Automatisierung
KW  - Compost
KW  - IIoT
KW  - Industrie 4.0
KW  - Industry 4.0
KW  - Kompost
KW  - Logistics
KW  - Logistik
AB  - This research explores technical and logistical opportunities to achieve Industry 4.0 standards at industrial composting plants through a model-based systems engineering (MBSE) approach. As traditional composting methods rely heavily on manual labor, increased automation and innovation are necessary to meet evolving industry demands. Thus, the present study shows the advancements in the development of an autonomous compost turners through the introduction of an Industrial Internet of Things (IIoT) module. The module was methodically designed using the MBSE approach, and is intended to manage the acquisition, processing, web-server transmission, and display of compost data. The study demonstrates the successful deployment of the IIoT module within an industrial environment, showing that the adoption of MBSE contributes to improving communication, reducing risk, and increasing efficiency during the engineering development phase. Thus, the implementation of these technologies significantly improves waste management processes, reduces manual labor reliance, and enhances operational efficiency.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-57989
DO  - 10.2195/lj_proc_cichocki_en_202310_01
ID  - cichocki2023
ER  - 
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Wordbib

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<b:Comments>This research explores technical and logistical opportunities to achieve Industry 4.0 standards at industrial composting plants through a model-based systems engineering (MBSE) approach. As traditional composting methods rely heavily on manual labor, increased automation and innovation are necessary to meet evolving industry demands. Thus, the present study shows the advancements in the development of an autonomous compost turners through the introduction of an Industrial Internet of Things (IIoT) module. The module was methodically designed using the MBSE approach, and is intended to manage the acquisition, processing, web-server transmission, and display of compost data. The study demonstrates the successful deployment of the IIoT module within an industrial environment, showing that the adoption of MBSE contributes to improving communication, reducing risk, and increasing efficiency during the engineering development phase. Thus, the implementation of these technologies significantly improves waste management processes, reduces manual labor reliance, and enhances operational efficiency.</b:Comments>
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ISI

PT Journal
AU Cichocki, M
   Landschützer, C
TI Leveraging Advanced Technologies in Industrial Composting Plants: Exploring Technical and Logistical Opportunities to Achieve Industry 4.0 Standards
SO Logistics Journal : referierte Veröffentlichungen
PY 2023
VL 2023
IS 1
DI 10.2195/lj_proc_cichocki_en_202310_01
DE Automation; Automatisierung; Compost; IIoT; Industrie 4.0; Industry 4.0; Kompost; Logistics; Logistik
AB This research explores technical and logistical opportunities to achieve Industry 4.0 standards at industrial composting plants through a model-based systems engineering (MBSE) approach. As traditional composting methods rely heavily on manual labor, increased automation and innovation are necessary to meet evolving industry demands. Thus, the present study shows the advancements in the development of an autonomous compost turners through the introduction of an Industrial Internet of Things (IIoT) module. The module was methodically designed using the MBSE approach, and is intended to manage the acquisition, processing, web-server transmission, and display of compost data. The study demonstrates the successful deployment of the IIoT module within an industrial environment, showing that the adoption of MBSE contributes to improving communication, reducing risk, and increasing efficiency during the engineering development phase. Thus, the implementation of these technologies significantly improves waste management processes, reduces manual labor reliance, and enhances operational efficiency.
ER

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Mods

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  <titleInfo>
    <title>Leveraging Advanced Technologies in Industrial Composting Plants: Exploring Technical and Logistical Opportunities to Achieve Industry 4.0 Standards</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Cichocki</namePart>
    <namePart type="given">Max</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Landschützer</namePart>
    <namePart type="given">Christian</namePart>
  </name>
  <abstract>This research explores technical and logistical opportunities to achieve Industry 4.0 standards at industrial composting plants through a model-based systems engineering (MBSE) approach. As traditional composting methods rely heavily on manual labor, increased automation and innovation are necessary to meet evolving industry demands. Thus, the present study shows the advancements in the development of an autonomous compost turners through the introduction of an Industrial Internet of Things (IIoT) module. The module was methodically designed using the MBSE approach, and is intended to manage the acquisition, processing, web-server transmission, and display of compost data. The study demonstrates the successful deployment of the IIoT module within an industrial environment, showing that the adoption of MBSE contributes to improving communication, reducing risk, and increasing efficiency during the engineering development phase. Thus, the implementation of these technologies significantly improves waste management processes, reduces manual labor reliance, and enhances operational efficiency.</abstract>
  <subject>
    <topic>Automation</topic>
    <topic>Automatisierung</topic>
    <topic>Compost</topic>
    <topic>IIoT</topic>
    <topic>Industrie 4.0</topic>
    <topic>Industry 4.0</topic>
    <topic>Kompost</topic>
    <topic>Logistics</topic>
    <topic>Logistik</topic>
  </subject>
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    <part>
      <detail type="volume">
        <number>2023</number>
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      <detail type="issue">
        <number>1</number>
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      <date>2023</date>
    </part>
  </relatedItem>
  <identifier type="issn">2192-9084</identifier>
  <identifier type="urn">urn:nbn:de:0009-14-57989</identifier>
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  <identifier type="uri">http://nbn-resolving.de/urn:nbn:de:0009-14-57989</identifier>
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