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Witthaut M, Deeken H, Sprenger P, Gadzhanov P, David M (2017). Smart Objects and Smart Finance for Supply Chain Management. Logistics Journal : referierte Veröffentlichungen, Vol. 2017. (urn:nbn:de:0009-14-46101)

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%0 Journal Article
%T Smart Objects and Smart Finance for Supply Chain Management
%A Witthaut, Markus
%A Deeken, Henning
%A Sprenger, Philipp
%A Gadzhanov, Petyo
%A David, Marcel
%J Logistics Journal : referierte Veröffentlichungen
%D 2017
%V 2017
%N 10
%@ 1860-5923
%F witthaut2017
%X Logistic transport processes are highly distributed and often subject to disturbances, as they are embedded in dynamic environments that prohibit tight control, as many third-party actors and influences exist. Classical approaches for planning and controlling supply chains based on centralized architectures often encounter their limits managing processes at runtime, due to inherent latencies. Decentralized approaches promise a more robust and timely control. The project SOFiA strives to elevate the machines and objects themselves to smart objects, equipped with an understanding of processes and capable of independent decision-making, rather than a centralized server-based system. This paper discusses the project’s decentralized control architecture and the integration of semantic process models with event-discrete simulations as well as smart payment technology to provide an integrated solution for planning, controlling, monitoring and accounting of logistic processes.
%L 620
%K Supply Chain Management
%K digitalization
%K smart finance
%K smart objects
%K supply chain
%R 10.2195/lj_NotRev_witthaut_en_201710_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-46101
%U http://dx.doi.org/10.2195/lj_NotRev_witthaut_en_201710_01

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Bibtex

@Article{witthaut2017,
  author = 	"Witthaut, Markus
		and Deeken, Henning
		and Sprenger, Philipp
		and Gadzhanov, Petyo
		and David, Marcel",
  title = 	"Smart Objects and Smart Finance for Supply Chain Management",
  journal = 	"Logistics Journal : referierte Ver{\"o}ffentlichungen",
  year = 	"2017",
  volume = 	"2017",
  number = 	"10",
  keywords = 	"Supply Chain Management; digitalization; smart finance; smart objects; supply chain",
  abstract = 	"Logistic transport processes are highly distributed and often subject to disturbances, as they are embedded in dynamic environments that prohibit tight control, as many third-party actors and influences exist. Classical approaches for planning and controlling supply chains based on centralized architectures often encounter their limits managing processes at runtime, due to inherent latencies. Decentralized approaches promise a more robust and timely control. The project SOFiA strives to elevate the machines and objects themselves to smart objects, equipped with an understanding of processes and capable of independent decision-making, rather than a centralized server-based system. This paper discusses the project's decentralized control architecture and the integration of semantic process models with event-discrete simulations as well as smart payment technology to provide an integrated solution for planning, controlling, monitoring and accounting of logistic processes.",
  issn = 	"1860-5923",
  doi = 	"10.2195/lj_NotRev_witthaut_en_201710_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-46101"
}

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RIS

TY  - JOUR
AU  - Witthaut, Markus
AU  - Deeken, Henning
AU  - Sprenger, Philipp
AU  - Gadzhanov, Petyo
AU  - David, Marcel
PY  - 2017
DA  - 2017//
TI  - Smart Objects and Smart Finance for Supply Chain Management
JO  - Logistics Journal : referierte Veröffentlichungen
VL  - 2017
IS  - 10
KW  - Supply Chain Management
KW  - digitalization
KW  - smart finance
KW  - smart objects
KW  - supply chain
AB  - Logistic transport processes are highly distributed and often subject to disturbances, as they are embedded in dynamic environments that prohibit tight control, as many third-party actors and influences exist. Classical approaches for planning and controlling supply chains based on centralized architectures often encounter their limits managing processes at runtime, due to inherent latencies. Decentralized approaches promise a more robust and timely control. The project SOFiA strives to elevate the machines and objects themselves to smart objects, equipped with an understanding of processes and capable of independent decision-making, rather than a centralized server-based system. This paper discusses the project’s decentralized control architecture and the integration of semantic process models with event-discrete simulations as well as smart payment technology to provide an integrated solution for planning, controlling, monitoring and accounting of logistic processes.
SN  - 1860-5923
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-46101
DO  - 10.2195/lj_NotRev_witthaut_en_201710_01
ID  - witthaut2017
ER  - 
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Wordbib

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<b:Comments>Logistic transport processes are highly distributed and often subject to disturbances, as they are embedded in dynamic environments that prohibit tight control, as many third-party actors and influences exist. Classical approaches for planning and controlling supply chains based on centralized architectures often encounter their limits managing processes at runtime, due to inherent latencies. Decentralized approaches promise a more robust and timely control. The project SOFiA strives to elevate the machines and objects themselves to smart objects, equipped with an understanding of processes and capable of independent decision-making, rather than a centralized server-based system. This paper discusses the project’s decentralized control architecture and the integration of semantic process models with event-discrete simulations as well as smart payment technology to provide an integrated solution for planning, controlling, monitoring and accounting of logistic processes.</b:Comments>
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ISI

PT Journal
AU Witthaut, M
   Deeken, H
   Sprenger, P
   Gadzhanov, P
   David, M
TI Smart Objects and Smart Finance for Supply Chain Management
SO Logistics Journal : referierte Veröffentlichungen
PY 2017
VL 2017
IS 10
DI 10.2195/lj_NotRev_witthaut_en_201710_01
DE Supply Chain Management; digitalization; smart finance; smart objects; supply chain
AB Logistic transport processes are highly distributed and often subject to disturbances, as they are embedded in dynamic environments that prohibit tight control, as many third-party actors and influences exist. Classical approaches for planning and controlling supply chains based on centralized architectures often encounter their limits managing processes at runtime, due to inherent latencies. Decentralized approaches promise a more robust and timely control. The project SOFiA strives to elevate the machines and objects themselves to smart objects, equipped with an understanding of processes and capable of independent decision-making, rather than a centralized server-based system. This paper discusses the project’s decentralized control architecture and the integration of semantic process models with event-discrete simulations as well as smart payment technology to provide an integrated solution for planning, controlling, monitoring and accounting of logistic processes.
ER

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Mods

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  <titleInfo>
    <title>Smart Objects and Smart Finance for Supply Chain Management</title>
  </titleInfo>
  <name type="personal">
    <namePart type="family">Witthaut</namePart>
    <namePart type="given">Markus</namePart>
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  <name type="personal">
    <namePart type="family">Deeken</namePart>
    <namePart type="given">Henning</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Sprenger</namePart>
    <namePart type="given">Philipp</namePart>
  </name>
  <name type="personal">
    <namePart type="family">Gadzhanov</namePart>
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  <name type="personal">
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    <namePart type="given">Marcel</namePart>
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  <abstract>Logistic transport processes are highly distributed and often subject to disturbances, as they are embedded in dynamic environments that prohibit tight control, as many third-party actors and influences exist. Classical approaches for planning and controlling supply chains based on centralized architectures often encounter their limits managing processes at runtime, due to inherent latencies. Decentralized approaches promise a more robust and timely control. The project SOFiA strives to elevate the machines and objects themselves to smart objects, equipped with an understanding of processes and capable of independent decision-making, rather than a centralized server-based system. This paper discusses the project’s decentralized control architecture and the integration of semantic process models with event-discrete simulations as well as smart payment technology to provide an integrated solution for planning, controlling, monitoring and accounting of logistic processes.</abstract>
  <subject>
    <topic>Supply Chain Management</topic>
    <topic>digitalization</topic>
    <topic>smart finance</topic>
    <topic>smart objects</topic>
    <topic>supply chain</topic>
  </subject>
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