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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • 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

  • 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