Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …

Fatigue properties of materials by Additive Manufacturing (AM) depend on many factors
such as AM processing parameter, microstructure, residual stress, surface roughness …

This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to
dynamically react to volatile environments, and alleviate potentially costly decision-makings …

Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

In this study, we present a novel fuzzy control strategy that considers the influence of lead
times on nonlinear supply chain management (SCM) systems. The authors have constructed …

This paper evaluates the inclination of Asian youth regarding the achievement of
Sustainable Development Goals (SDGs). As the young population of a country holds the key …

Supply chain operations reference (SCOR) is a combined benchmarking, business process
reengineering, and best practices, and it also references a model that is intended to be an …

Purpose It is important to understand the factors that are significant in supply chain (SC)
collaboration decision making and whether supply chain collaborative factors that are …

Abstract Service supply chain management is a complex process because of its intangibility,
high diversity of services, trustless settings, and uncertain conditions. However, the …

Globally, countries are struggling to fulfil customer demands due to the effects of the COVID-
19 pandemic on perishable food supply chains (PFSCs). This study aims to analyse the …