Review and analysis of artificial intelligence methods for demand forecasting in supply chain management

• DOI: 10.1016/j.procir.2022.05.119
• Publication Date: 2022-05-26T18:28:54Z
• Authors: Mario Angos Media...; Fabian Dietrich; Daniel Palm
• Keywords: Technology forecasting

The proper selection of a demand forecasting method is directly linked to the success supply chain management (SCM). However, today's manufacturing companies are confronted with uncertain and dynamic markets. Consequently, classical statistical methods not always appropriate for accurate reliable forecasting. Algorithms Artificial intelligence (AI) currently used improve methods. Existing literature only gives very general overview AI in combination This paper provides an analysis published last five years (2017-2021). Furthermore, classification presented by clustering order define trend applied. Finally, different according dimensionality data, volume time horizon forecast presented. goal support optimize