Entropy Based Measures Used in Operation Complexity Analysis of Supplier-Customer Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F17%3A43932545" target="_blank" >RIV/49777513:23510/17:43932545 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Entropy Based Measures Used in Operation Complexity Analysis of Supplier-Customer Systems
Original language description
The paper deals with operational complexity of supplier-customer systems. Measurement of operational complexity of company supplier-customer relations belongs to important managerial tasks. In the present work, we deal with quantitative measuring of these relations on the base of unified entropy-oriented approach. From analytic point of view, it reflects temporal changes in supplier-customer system. Operational complexity measure should express behavioral uncertainties of the systém during the time with respect to specified control levels. It has to record all possible types of flow variations within and across company in detail, e.g. replenishment time disturbances, deviations of materiál in/out flows, etc. Further, we discuss in detail various entropy measures which are applicable to operational complexity analysis. The basic one is classical Shannon entropy. We also discuss relations between the Shannon entropy and various generalized entropy based measures, e.g. (c,d)-entropy. We present numerical results of investigation of equivalent classes between various entropy measures. All computations are performed in sw Mathematica, and algorithmic details are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
35th International Conference Mathematical Methods In Economics, Conference Proceedings
ISBN
978-80-7435-678-0
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
638-643
Publisher name
Gaudeamus, University of Hradec Králové
Place of publication
Hradec Králové
Event location
Hradec Králové
Event date
Sep 13, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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