Demand forecasting has been a major concern of operational strategy to manage the
inventory and optimize the customer satisfaction level. The researchers have proposed …

In today's rapidly changing and highly competitive industrial environment, a new and
emerging business model—fast fashion—has started a revolution in the apparel industry …

Artificial neural networks (ANNs) provide a way to make intelligent decisions while
leveraging on today's processing power. In this paper, an attempt has been made to use …

Purpose The purpose of this study is to select the appropriate forecasting model at the retail
stage for selected vegetables on the basis of performance analysis. Design/methodology …

Effective supply chain management is one of the key determinants of success of today's
businesses. However, communication patterns between participants that emerge in a supply …

This paper proposes a novel forecasting method that combines the deep learning method–
long short-term memory (LSTM) networks and random forest (RF). The proposed method …

Companies in the fashion industry are struggling with forecasting demand due to the short-
selling season, long lead times between the operations, huge product variety and ambiguity …

In today's competitive global economy, businesses must adjust themselves constantly to
ever-changing markets. Therefore, predicting future events in the market-place is crucial to …

Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …

Demand forecasting is affecting the success of Supply Chain Management (SCM), and the
organizations which support them and are in the early stage of a digital transformation. In a …