Digital twin integrated reinforced learning in supply chain and logistics

AZ Abideen, VPK Sundram, J Pyeman, AK Othman… - Logistics, 2021 - mdpi.com
Background: As the Internet of Things (IoT) has become more prevalent in recent years,
digital twins have attracted a lot of attention. A digital twin is a virtual representation that …

Human-centric artificial intelligence architecture for industry 5.0 applications

JM Rožanec, I Novalija, P Zajec, K Kenda… - … journal of production …, 2023 - Taylor & Francis
Human-centricity is the core value behind the evolution of manufacturing towards Industry
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …

[HTML][HTML] Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions

H Ahaggach, L Abrouk, E Lebon - Forecasting, 2024 - mdpi.com
In a dynamic business environment, the accuracy of sales forecasts plays a pivotal role in
strategic decision making and resource allocation. This article offers a systematic review of …

Extraction of time-domain characteristics and selection of effective features using correlation analysis to increase the accuracy of petroleum fluid monitoring systems

AM Mayet, SM Alizadeh, KS Nurgalieva, R Hanus… - Energies, 2022 - mdpi.com
In the current paper, a novel technique is represented to control the liquid petrochemical and
petroleum products passing through a transmitting pipe. A simulation setup, including an X …

[HTML][HTML] Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI)

JM Rožanec, B Fortuna, D Mladenić - Information fusion, 2022 - Elsevier
The paper proposes a novel architecture for explainable artificial intelligence based on
semantic technologies and artificial intelligence. We tailor the architecture for the domain of …

Seasonal methods of demand forecasting in the supply chain as support for the company's sustainable growth

A Borucka - Sustainability, 2023 - mdpi.com
Demand forecasting plays a key role in supply chain planning, management and its
sustainable development, but it is a challenging process as demand depends on numerous …

Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand

JM Rožanec, B Fortuna, D Mladenić - Sustainability, 2022 - mdpi.com
Demand forecasting is a crucial component of demand management. While shortening the
forecasting horizon allows for more recent data and less uncertainty, this frequently means …

Industry 4.0: Meeting the challenges of demand sensing in the automotive industry

S Singh, B Yadav, R Batheri - IEEE Engineering Management …, 2023 - ieeexplore.ieee.org
The automotive industry is a crucial contributor to the economy of countries worldwide.
Demand forecasting is integral to demand management since it directly impacts automotive …

Enriching artificial intelligence explanations with knowledge fragments

J Rožanec, E Trajkova, I Novalija, P Zajec, K Kenda… - Future internet, 2022 - mdpi.com
Artificial intelligence models are increasingly used in manufacturing to inform decision
making. Responsible decision making requires accurate forecasts and an understanding of …

A Transcendental LASSO Function for Combining Machine Learning and Statistical Model Forecasts

U Şener, SJ Terregrossa - Sage Open, 2024 - journals.sagepub.com
The aim of the study is the development of methodology for accurate estimation of electric
vehicle demand; which is paramount regarding various aspects of the firms decision-making …