A Supply Networḱs Optimal Information System and Material Flows
The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are poss...
Ausführliche Beschreibung
Autor*in: |
Waage, Frenck [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
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2013 |
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Umfang: |
1 Online-Ressource |
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Übergeordnetes Werk: |
Enthalten in: International journal of information systems and supply chain management - Hershey, PA : IGI Global, 2008, 6(2013), 3, Seite 86-104 |
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Übergeordnetes Werk: |
volume:6 ; year:2013 ; number:3 ; pages:86-104 |
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DOI / URN: |
10.4018/ijisscm.2013070104 |
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Katalog-ID: |
NLEJ25181369X |
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10.4018/ijisscm.2013070104 doi (DE-627)NLEJ25181369X (VZGNL)10.4018/ijisscm.2013070104 DE-627 ger DE-627 rakwb eng Waage, Frenck verfasserin aut A Supply Networḱs Optimal Information System and Material Flows 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network? Demand-Pull Information Systems Optimal Supply Chain Policy Supply Chain Supply Network Enthalten in International journal of information systems and supply chain management Hershey, PA : IGI Global, 2008 6(2013), 3, Seite 86-104 Online-Ressource (DE-627)NLEJ244419825 (DE-600)2400984-2 1935-5734 nnns volume:6 year:2013 number:3 pages:86-104 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 6 2013 3 86-104 |
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10.4018/ijisscm.2013070104 doi (DE-627)NLEJ25181369X (VZGNL)10.4018/ijisscm.2013070104 DE-627 ger DE-627 rakwb eng Waage, Frenck verfasserin aut A Supply Networḱs Optimal Information System and Material Flows 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network? Demand-Pull Information Systems Optimal Supply Chain Policy Supply Chain Supply Network Enthalten in International journal of information systems and supply chain management Hershey, PA : IGI Global, 2008 6(2013), 3, Seite 86-104 Online-Ressource (DE-627)NLEJ244419825 (DE-600)2400984-2 1935-5734 nnns volume:6 year:2013 number:3 pages:86-104 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 6 2013 3 86-104 |
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10.4018/ijisscm.2013070104 doi (DE-627)NLEJ25181369X (VZGNL)10.4018/ijisscm.2013070104 DE-627 ger DE-627 rakwb eng Waage, Frenck verfasserin aut A Supply Networḱs Optimal Information System and Material Flows 2013 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network? Demand-Pull Information Systems Optimal Supply Chain Policy Supply Chain Supply Network Enthalten in International journal of information systems and supply chain management Hershey, PA : IGI Global, 2008 6(2013), 3, Seite 86-104 Online-Ressource (DE-627)NLEJ244419825 (DE-600)2400984-2 1935-5734 nnns volume:6 year:2013 number:3 pages:86-104 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 6 2013 3 86-104 |
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The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network? |
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The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network? |
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The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network? |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ25181369X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143929.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijisscm.2013070104</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ25181369X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijisscm.2013070104</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Waage, Frenck</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A Supply Networḱs Optimal Information System and Material Flows</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The management of a supply network is repeatedly forced to react to changes that have occurred, and to pro-act to changes that may occur. Management would certainly find it useful to have available a model which could identify the optimal re-action, or pro-action, from among all those which are possible. This paper will: (1) describe how such a model can be constructed in practice, and (2) how the model can be solved for the optimal management pro-actions, and reactions. The model describes all supply network interactions at any moment in time, and it describes all time dependent supply network interactions dynamically. The model serves as management́s optimal real-time decision support/information system. It will dynamically calculate the optimal operations policy for the entire supply network. The model is also capable of identifying: the optimal design of a supply network, the optimal capacities of a network, and the optimal network facility locations. It also solves some well known problems such as what is the optimal pure ́ʺdemand ́ pulĺ policy in a network?</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Demand-Pull</subfield><subfield code="a">Information Systems</subfield><subfield code="a">Optimal Supply Chain Policy</subfield><subfield code="a">Supply Chain</subfield><subfield code="a">Supply Network</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of information systems and supply chain management</subfield><subfield code="d">Hershey, PA : IGI Global, 2008</subfield><subfield code="g">6(2013), 3, Seite 86-104</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244419825</subfield><subfield code="w">(DE-600)2400984-2</subfield><subfield code="x">1935-5734</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:3</subfield><subfield code="g">pages:86-104</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijisscm.2013070104&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2013</subfield><subfield code="e">3</subfield><subfield code="h">86-104</subfield></datafield></record></collection>
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