Usability of Performance Indicators of Logistics Infrastructure Availability in Supply Chain Designing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00536076" target="_blank" >RIV/60162694:G42__/18:00536076 - isvavai.cz</a>

Výsledek na webu

<a href="http://blmm-conference.com/wp-content/uploads/BLMM-book_2018_online.pdf" target="_blank" >http://blmm-conference.com/wp-content/uploads/BLMM-book_2018_online.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Usability of Performance Indicators of Logistics Infrastructure Availability in Supply Chain Designing

Popis výsledku v původním jazyce

Level of supply chain performance is highly influenced by capability of logistics infrastructure as well as created network of activities and services operating at global, national, and regional scales. Dynamic environment can significantly influence expected availability and real capability of logistics infrastructure. The article represents possible analytical approach to supply chain design and identification of factors influencing logistics performance. In addition, the paper deals with application of key indicators and indexes to the classification of individual national levels of available logistics infrastructure. Clustering algorithms (k-means and hierarchical) and classification methods (decision trees, kNN and logistic regression) have been used for classification model construction and results evaluation. Furthermore, possible application for forecasting logistics infrastructure availability has been discussed.

Název v anglickém jazyce

Usability of Performance Indicators of Logistics Infrastructure Availability in Supply Chain Designing

Popis výsledku anglicky

Level of supply chain performance is highly influenced by capability of logistics infrastructure as well as created network of activities and services operating at global, national, and regional scales. Dynamic environment can significantly influence expected availability and real capability of logistics infrastructure. The article represents possible analytical approach to supply chain design and identification of factors influencing logistics performance. In addition, the paper deals with application of key indicators and indexes to the classification of individual national levels of available logistics infrastructure. Clustering algorithms (k-means and hierarchical) and classification methods (decision trees, kNN and logistic regression) have been used for classification model construction and results evaluation. Furthermore, possible application for forecasting logistics infrastructure availability has been discussed.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Business Logistics in Modern Management

ISBN

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ISSN

1849-5931

e-ISSN

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Počet stran výsledku

14

Strana od-do

157-170

Název nakladatele

Faculty of Economics in Osijek

Místo vydání

Osijek

Místo konání akce

Osijek

Datum konání akce

11. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000450423400010