As a type of internet and business intelligence technology, recommender systems have
been widely adopted by store brands to improve brand competition and to affect consumers' …

Recommendation systems have been tremendously important to assist users to find relevant
items. With the information-overloaded problem, it becomes crucial to understand users' …

We present a recommendation system to help rebuild sustainable production systems. Our
multi-objective system synergizes the public and private actors of a territory. From know-how …

Modern supply chains include multi-layered and geographically separated entities, which
leads to the globalization of supply chains and the need for separate regulatory policies …

Purpose: Despite the growth of literature on SC performance drivers, there is still limited
attention on how road transport infrastructure may drive SC performance. This study is …

Regionalization, also known as spatially constrained clustering, is an unsupervised machine
learning technique used to identify and define spatially contiguous regions. In this work, we …

This study investigates the impact of operations strategy on supply chain strategy and supply
chain performance, as well as the moderating effect of information system strategy on supply …

Supply and demand management is integrated into supply chain management and
throughout the many members and channels of the supply chain. There is an increasing …

With the shift toward online shopping, it has become necessary to customize customers'
needs and give them more choices. Before making a purchase, buyers research the …

Supply chain planning in global production networks is a very difficult task due to the high
diversity of products and machines and the immense number of possible configurations. An …