Exploring, Categorisation and Usage of Artificial Intelligence Algorithms for Supply Chain Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F23%3A43924526" target="_blank" >RIV/62156489:43110/23:43924526 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.doi.org/10.17512/CUT/9788371939563/18" target="_blank" >https://www.doi.org/10.17512/CUT/9788371939563/18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17512/CUT/9788371939563/18" target="_blank" >10.17512/CUT/9788371939563/18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring, Categorisation and Usage of Artificial Intelligence Algorithms for Supply Chain Management

Popis výsledku v původním jazyce

This paper explores the categorisation and usage of Artificial intelligence Algorithms (AIA) in Supply Chain Management (SCM) and discusses the potential benefits and challenges of implementing AI in SCM. The study reviews the literature on the application of AI in SCM. It provides a comprehensive list of commonly used algorithms in different SCM applications, such as vendor selection, production planning, resource allocation, quality control, predictive maintenance, visibility, demand forecasting, inventory optimisation, transportation optimisation, and customer segmentation. The paper highlights the versatility and potential for the cross-functional use of many AI algorithms. It identifies challenges and limitations, including data quality and availability, privacy and security concerns, and a lack of understanding and trust in AI systems. The study concludes that AI has the potential to significantly impact SCM by increasing efficiency, accuracy, and flexibility while reducing costs. However, further research is needed to develop best practices for adopting and implementing AI in SCM and to address ethical implications related to AI in SCM.

Název v anglickém jazyce

Exploring, Categorisation and Usage of Artificial Intelligence Algorithms for Supply Chain Management

Popis výsledku anglicky

This paper explores the categorisation and usage of Artificial intelligence Algorithms (AIA) in Supply Chain Management (SCM) and discusses the potential benefits and challenges of implementing AI in SCM. The study reviews the literature on the application of AI in SCM. It provides a comprehensive list of commonly used algorithms in different SCM applications, such as vendor selection, production planning, resource allocation, quality control, predictive maintenance, visibility, demand forecasting, inventory optimisation, transportation optimisation, and customer segmentation. The paper highlights the versatility and potential for the cross-functional use of many AI algorithms. It identifies challenges and limitations, including data quality and availability, privacy and security concerns, and a lack of understanding and trust in AI systems. The study concludes that AI has the potential to significantly impact SCM by increasing efficiency, accuracy, and flexibility while reducing costs. However, further research is needed to develop best practices for adopting and implementing AI in SCM and to address ethical implications related to AI in SCM.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Conference on Management „Sustainability – Security – Quality“: Book of Proceedings

ISBN

978-83-7193-956-3

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

118-126

Název nakladatele

Czestochowa University of Technology

Místo vydání

Częstochowa

Místo konání akce

Czestochowa

Datum konání akce

15. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—