Using entropy for quantitative measurement of operational complexity of supplier-customer system: case studies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F16%3A43925028" target="_blank" >RIV/49777513:23510/16:43925028 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10100-015-0386-7" target="_blank" >http://dx.doi.org/10.1007/s10100-015-0386-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10100-015-0386-7" target="_blank" >10.1007/s10100-015-0386-7</a>

Result language
angličtina
Original language name
Using entropy for quantitative measurement of operational complexity of supplier-customer system: case studies
Original language description
The paper concerns with analysis of operational complexity of company supplier-customer relations. Well-known approach for measuring of 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 our two case studies - the first, a supplier-customer system which implements managerial thresholds for processing product delivery term deviations, the second, a supplier system of the most important commodity in brewery industry, the malted barley. In both cases, we assume an existence of problem-oriented databases, which contain detailed records of all product orders, deliveries and forecasts in quantity and time having been scheduled and realized. Our general procedure elaborated consists of three basic steps - pre-processing of data with consistency checks in Java, calculation of histograms and empirical distribution functions, and finally, evaluation of conditional entropy. The last two steps are realized by Mathematica modules. Illustrative results of operational complexity measurement using entropy are provided for both case studies.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Project
<a href="/en/project/GA15-20405S" target="_blank" >GA15-20405S: Modelling of processes on financial markets and prediction of firm default by real options</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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