In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …

Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …

This study develops a novel mathematical model to design a sustainable mask Closed-Loop
Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi …

Nowadays, population growth and urban development lead to having an efficient waste
management system (WMS) based on recent advances and trends. Alongside all functions …

Wind and solar energy are paid more attention as clean and renewable resources.
However, due to the intermittence and fluctuation of renewable energy, the problem of …

This study provides a three-objective mixed-integer linear mathematical model to design a
sustainable closed-loop supply chain network in the aluminum industry. In this regard, the …

Designing resilient supply chain networks for vaccine development and distribution requires
reliable and robust infrastructure. This stud develops a novel two-stage decision support …

Due to the complexity and the magnitude of optimisation models that appeared in
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …

In order to promote green and sustainable development of the transportation industry, an
increasing number of logistics companies are deploying Electric Vehicles (EVs) to provide …

The task of benchmarking smart e-tourism applications based on multiple smart key concept
attributes is considered a multi-attribute decision-making (MADM) problem. Although the …