Measurement of operational complexity of supplier-customer system using entropy ? a case study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F13%3A43919839" target="_blank" >RIV/49777513:23510/13:43919839 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2013.vspj.cz/about-conference/conference-proceedings" target="_blank" >https://mme2013.vspj.cz/about-conference/conference-proceedings</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Measurement of operational complexity of supplier-customer system using entropy ? a case study

Popis výsledku v původním jazyce

The paper concerns with analysis of operational complexity of company supplier-customer relations. Well-known approach for measuring that operational complexity is based upon entropy. However, there are several approaches thereon. In the first part, we discuss various general measures of uncertainty of states, the power entropies in particular. In the second part, we use Shannon entropy as a base framework for the case study ? supplier system of the most important commodity in brewery industry, the malted barley. We assume a problem-oriented database exists, which contains detailed records of all product orders, deliveries and forecasts both in quantity and time being scheduled and realized, within time period given. We concern ourselves with quantityperturbations since they play more crucial role as the time variations. The general procedure elaborated consists of three basic steps ? pre-processing of data with consistency checks in Java, calculation of histograms and empirical distr

Název v anglickém jazyce

Measurement of operational complexity of supplier-customer system using entropy ? a case study

Popis výsledku anglicky

The paper concerns with analysis of operational complexity of company supplier-customer relations. Well-known approach for measuring that operational complexity is based upon entropy. However, there are several approaches thereon. In the first part, we discuss various general measures of uncertainty of states, the power entropies in particular. In the second part, we use Shannon entropy as a base framework for the case study ? supplier system of the most important commodity in brewery industry, the malted barley. We assume a problem-oriented database exists, which contains detailed records of all product orders, deliveries and forecasts both in quantity and time being scheduled and realized, within time period given. We concern ourselves with quantityperturbations since they play more crucial role as the time variations. The general procedure elaborated consists of three basic steps ? pre-processing of data with consistency checks in Java, calculation of histograms and empirical distr

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Mathematical Methods in Economics 2013 : 31st international conference : proceedings

ISBN

978-80-87035-76-4

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

267-272

Název nakladatele

College of Polytechnics Jihlava

Místo vydání

Jihlava

Místo konání akce

Jihlava

Datum konání akce

11. 9. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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