This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain
management (SCM) through a systematic review of the existing literature. To address the …

To realize project management improvement, many different objectives have to be
considered simultaneously due to the nature of complexity and uncertainty in construction …

The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …

The design of supply chain networks (SCNs) aims at determining the number, location, and
capacity of production facilities, as well as the allocation of markets (customers) and …

One of the most important functions of supply chain management is to enhance competitive
pressure. Competition conditions and customer perception have changed in favor of …

The concept of supply chain resilience continues to attract both industry and research
experts in the field of energy. These stakeholders continue to tackle disruptions to supply …

A mixed-integer, non-linear model is developed for designing robust global supply chain
networks under uncertainty. Six resilience strategies are proposed to mitigate the risk of …

Facility location decisions play a critical role in the strategic design of supply chain networks.
In this paper, a literature review of facility location models in the context of supply chain …

Global urbanization is exerting severe stress and having far-reaching impacts on the eco-
environment, and yet there exists a complex non-linear coupling relationship between the …

The closed-loop supply chain (CLSC) management as one of the most significant
management issues has been increasingly spotlighted by the government, companies and …