Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

Sales forecasting is crucial for many retail operations. It is especially critical for the fashion
retailing service industry in which product demand is very volatile and product's life cycle is …

Global warming is a hot topic of climate change, and its negative impact on oceans, ecology,
and human health has become an indisputable fact. As a major cause of global warming …

Purpose The purpose of this paper is to design a model that can accurately forecast the
supply chain sales. Design/methodology/approach This paper proposed a new model …

This study proposes a hybrid forecasting approach that consists of the EWT (Empirical
Wavelet Transform), CSA (Coupled Simulated Annealing) and LSSVM (Least Square …

Sales forecasting is crucial in fashion business because of all the uncertainty associated
with demand and supply. Many models for forecasting fashion products are proposed in the …

The non-storage characteristics of electricity and the increasing fuel costs worldwide call for
the need to operate the systems more economically. Economic dispatch (ED) is one of the …

Proactively forecasting disputes in the initiation phase of public-private partnership (PPP)
projects can considerably reduce the effort, time, and cost of managing potential claims. This …

Two robust kernel adaptive filter (KAF) algorithms, called the kernel least mean p-power
(KLMP) and kernel recursive least mean p-power (KRLP), are developed by combining …

The sparrow search algorithm (SSA) is a relatively new swarm intelligence heuristic
algorithm. It has fast convergence speed, strong optimization ability and more extensive …