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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Fuzzy modeling supply chain business processes

Authors: KLYMCHUK, MARYNA; SWISTUN, WILLIAM; SHOVKIVSKA, VICTORIIA;

Fuzzy modeling supply chain business processes

Abstract

The subject of the study is a set of theoretical, scientific and practical provisions regarding theassessment of the effectiveness of business process management in supply chains.The purpose of the study is to develop a model for evaluating the management of businessprocesses in supply chains using the method of fuzzy logic.Research methods. In order to comply with the conceptual integrity of scientific development, thedialectical method of scientific cognition, as well as empirical–theoretical and formal–logical principleswere used.Results of work. Economic and mathematical modeling of business process management insupply chains was performed on the basis of fuzzy logic. The developed model allows you to determinethe level of effectiveness of the business process management system, reveals its shortcomings, andallows you to monitor the dynamics of general indicators.Field of application of results. The presented developments can be used in evaluating theeffectiveness of business process management in supply chains.Conclusions. The use of the developed model based on the fuzzy logic approach will contributeto obtaining substantiated data on the state of performance of business processes and relevantrecommendations on the formation of their management strategies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green