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  • 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 entropy approach. 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. However, managerial practice shows that instead of crisp definition of order and delivery variations very often more flexible approach based upon control thresholds is utilized. Application of such thresholds provides sensitive instruments to evaluate conditional entropy of supplier-customer relations. General procedure consists of three basic steps - pre-processing of data with consistency checks in Java, calculation of histograms and empirical distribution functions conditioned by control thresholds applied, and finally, evaluation of conditional entropy, which are realized both by Mathematica modules. Illustrative results of supplier-customer system analysis with and without time and volume quantity variation thresholds from selected Czech SME are presented in detail.
  • 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 entropy approach. 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. However, managerial practice shows that instead of crisp definition of order and delivery variations very often more flexible approach based upon control thresholds is utilized. Application of such thresholds provides sensitive instruments to evaluate conditional entropy of supplier-customer relations. General procedure consists of three basic steps - pre-processing of data with consistency checks in Java, calculation of histograms and empirical distribution functions conditioned by control thresholds applied, and finally, evaluation of conditional entropy, which are realized both by Mathematica modules. Illustrative results of supplier-customer system analysis with and without time and volume quantity variation thresholds from selected Czech SME are presented in detail. (en)
Title
  • Quantitative measuring of operational complexity of suppliercustomer system with control thresholds
  • Quantitative measuring of operational complexity of suppliercustomer system with control thresholds (en)
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  • Quantitative measuring of operational complexity of suppliercustomer system with control thresholds
  • Quantitative measuring of operational complexity of suppliercustomer system with control thresholds (en)
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  • RIV/49777513:23510/12:43915657!RIV13-MSM-23510___
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  • 163808
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  • RIV/49777513:23510/12:43915657
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  • Business economics, supplier-customer systems, firm performance, complexity measures, information and entropy. (en)
http://linked.open.../riv/klicoveSlovo
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  • [207847F3B300]
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  • Karviná
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  • Karviná
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  • Proceedings of the 30th International Conference Mathematical Methods in Economics 2012
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  • Hofman, Jiří
  • Lukáš, Ladislav
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number of pages
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  • Siliesian University in Opava, Shcool od Business Administration in Karviná
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  • 978-80-7248-779-0
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  • 23510
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