Applications of deep learning into supply chain management: a systematic literature review and a framework for future research
F Hosseinnia Shavaki… - Artificial Intelligence …, 2023 - Springer
In today's complex and ever-changing world, Supply Chain Management (SCM) is
increasingly becoming a cornerstone to any company to reckon with in this global era for all …
increasingly becoming a cornerstone to any company to reckon with in this global era for all …
Systematic literature review of machine learning for manufacturing supply chain
SA Ganjare, SM Satao, V Narwane - The TQM Journal, 2024 - emerald.com
Purpose In today's fast developing era, the volume of data is increasing day by day. The
traditional methods are lagging for efficiently managing the huge amount of data. The …
traditional methods are lagging for efficiently managing the huge amount of data. The …
Retail demand forecasting: a comparative study for multivariate time series
Accurate demand forecasting in the retail industry is a critical determinant of financial
performance and supply chain efficiency. As global markets become increasingly …
performance and supply chain efficiency. As global markets become increasingly …
[PDF][PDF] An intelligent demand forecasting model using a hybrid of metaheuristic optimization and deep learning algorithm for predicting concrete block production
Demand forecasting aims to optimize the production planning of industrial companies by
ensuring that the production planning meets the future demand. Demand forecasting utilizes …
ensuring that the production planning meets the future demand. Demand forecasting utilizes …
[PDF][PDF] Forecasting green financial innovation and its implications for financial performance in Ethiopian Financial Institutions: Evidence from ARIMA and ARDL model …
G Desalegn, A Tangl - Account. Rev, 2022 - researchgate.net
Green innovation is the creation of new and competitive products, services, processes,
procedures and systems designed to use natural resources at a minimum level and to …
procedures and systems designed to use natural resources at a minimum level and to …
The impact of AI-enabled CRM systems on organizational competitive advantage: A mixed-method approach using BERTopic and PLS-SEM
JW Yoo, J Park, H Park - Heliyon, 2024 - cell.com
The recent advances in machine learning and deep learning algorithms, along with the
advent of generative AI, have led AI to become the" new normal" in organizations. This trend …
advent of generative AI, have led AI to become the" new normal" in organizations. This trend …
Development of Trading Strategies Using Time Series Based on Robust Interval Forecasts
E Nikulchev, A Chervyakov - Computation, 2023 - mdpi.com
The task of time series forecasting is to estimate future values based on available
observational data. Prediction Intervals methods are aimed at finding not the next point, but …
observational data. Prediction Intervals methods are aimed at finding not the next point, but …
Providing a Mathematical Routing‐Inventory Model for the Drug Supply Chain Considering the Travel Time Dependence and Perishability on Multiple Graphs
High turnover in the pharmaceutical industry, the location of placebos in urban spaces, and
the high rate of corruption of products in this industry are the distinguishing features of the …
the high rate of corruption of products in this industry are the distinguishing features of the …
[PDF][PDF] Food sales prediction model using machine learning techniques.
Food sales prediction means how to obtain future results of sales of companies. The
purpose of this step is to increase the profits of these companies by avoiding spoilage of …
purpose of this step is to increase the profits of these companies by avoiding spoilage of …
Evaluation and prediction of low-carbon economic efficiency in China, Japan and South Korea: based on DEA and machine learning
H Niu, Z Zhang, M Luo - … Journal of Environmental Research and Public …, 2022 - mdpi.com
Addressing global climate change has become a broad consensus in the international
community. Low-carbon economic development, as an effective means to address global …
community. Low-carbon economic development, as an effective means to address global …