[HTML][HTML] Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence

K Govindan, D Kannan, TB Jørgensen… - … Research Part E …, 2022 - Elsevier
Companies require a greater understanding of the Supply Chain (SC) benefits that can be
gained from industry 4.0 (I4. 0) and, more specifically, which technologies and concepts that …

Recent progress towards photovoltaics' circular economy

MKH Rabaia, C Semeraro, AG Olabi - Journal of Cleaner Production, 2022 - Elsevier
Massive expansions in the global population and the global digitalization throughout the
industrial revolution are causing energy security issues that are no longer environmentally …

Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model

C Rao, Y Zhang, J Wen, X Xiao, M Goh - Energy, 2023 - Elsevier
Analyzing the drivers of energy demand and predicting energy consumption can help to
shape national policies on energy transformation and energy security. This paper estimates …

Predictive analytics for demand forecasting–a comparison of SARIMA and LSTM in retail SCM

T Falatouri, F Darbanian, P Brandtner… - Procedia Computer …, 2022 - Elsevier
The application of predictive analytics (PA) in Supply Chain Management (SCM) has
received growing attention over the last years, especially in demand forecasting. The …

Sustainable innovations in the food industry through artificial intelligence and big data analytics

S Sharma, VK Gahlawat, K Rahul, RS Mor, M Malik - Logistics, 2021 - mdpi.com
The agri-food sector is an endless source of expansion for nourishing a vast population, but
there is a considerable need to develop high-standard procedures through intelligent and …

Machine learning and optimization models for supplier selection and order allocation planning

S Islam, SH Amin, LJ Wardley - International Journal of Production …, 2021 - Elsevier
Supplier selection and order allocation have significant roles in supply chain management.
These processes become major challenges when the demand is uncertain. This research …

Covid-19′ s fear-uncertainty effect on renewable energy supply chain management and ecological sustainability performance; the moderate effect of big-data …

MMNHK Kholaif, M Xiao, X Tang - Sustainable Energy Technologies and …, 2022 - Elsevier
This research's scientific and theoretical significance is derived from the novel relationships
studied. Our research studies the links between fear-uncertainty towards COVID-19 and the …

Impact of supply chain 4.0 and supply chain risk on organizational performance: An empirical evidence from the UAE food manufacturing industry

B Kurdi, H Alzoubi, M Alshurideh… - Uncertain Supply …, 2023 - m.growingscience.com
This research aims to empirically assess the impact of supply chain 4.0 and supply chain
risk on organizational performance in the food manufacturing industry in the United Arab …

Analysis of social barriers to sustainable innovation and digitisation in supply chain

PK Singh, R Maheswaran - Environment, Development and Sustainability, 2024 - Springer
Organisations are consistently becoming more and more conscious about sustainability
issues that are being raised on various platforms by regulatory bodies and other social …

On the application of ARIMA and LSTM to predict order demand based on short lead time and on-time delivery requirements

CC Wang, CH Chien, AJC Trappey - Processes, 2021 - mdpi.com
Suppliers are adjusting from the order-to-order manufacturing production mode toward
demand forecasting. In the meantime, customers have increased demand uncertainty due to …