Using of fuzzy entropy as a supportive method for managing the real supply chain: a case study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F10%3A00012385" target="_blank" >RIV/60076658:12510/10:00012385 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using of fuzzy entropy as a supportive method for managing the real supply chain: a case study

Popis výsledku v původním jazyce

Performance measurement of supply chain involves quantifying the efficiency and effectiveness expressed in crisp numbers and measures with large levels of uncertainty. Thus was identified a new direction in measuring the uncertainty and ambiguity surrounding supply chain performance measurement using fuzzy logic operation. Paper deals with enlarged concept of fuzzy entropy, firstly used by Soyer, Kabak, Asan [13] for measuring subjective judgments to the identification of organizational values and culture. In presented case study is fuzzy entropy used as a supportive method for managing the real supply chain. Supply chain management according to Harvani, Helms, Sarki [4] includes the coordination and management of complex network of activities involvedin the development of finished product to the end consumer. Fuzzy entropy applicated in case study is used as foundation for quantifying of logistic controlling and benchmarking metrics. Paper is one of the solutions of grant research GA

Název v anglickém jazyce

Using of fuzzy entropy as a supportive method for managing the real supply chain: a case study

Popis výsledku anglicky

Performance measurement of supply chain involves quantifying the efficiency and effectiveness expressed in crisp numbers and measures with large levels of uncertainty. Thus was identified a new direction in measuring the uncertainty and ambiguity surrounding supply chain performance measurement using fuzzy logic operation. Paper deals with enlarged concept of fuzzy entropy, firstly used by Soyer, Kabak, Asan [13] for measuring subjective judgments to the identification of organizational values and culture. In presented case study is fuzzy entropy used as a supportive method for managing the real supply chain. Supply chain management according to Harvani, Helms, Sarki [4] includes the coordination and management of complex network of activities involvedin the development of finished product to the end consumer. Fuzzy entropy applicated in case study is used as foundation for quantifying of logistic controlling and benchmarking metrics. Paper is one of the solutions of grant research GA

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

28th International Conference on Mathematical Methods in Economics 2010

ISBN

978-80-7394-218-2

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000287979900086