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 …

Combinatorial optimization problems are often considered NP-hard problems in the field of
decision science and the industrial revolution. As a successful transformation to tackle …

Immense concern for sustainability and increasing stakeholders' involvement has sparked
tremendous interest towards designing optimal supply chain networks with significant …

This study investigates the optimal design of low-carbon hydrogen supply chains on a
national scale. We consider hydrogen production based on several feedstocks and energy …

This study aims to model two-dimensional (lateral and longitudinal) motion of an Ego
Vehicle (EV). Intelligent Driver Model (IDM) is enhanced for this purpose. All the surrounding …

Closed loop supply chain network design (CL-SCND) is a critical economic and
environmental activity. The closing of the loop to handle return, uncertainty in business …

The dynamic and ever-evolving landscape of modern technologies, consumer preferences,
and competitive forces pose a perpetual challenge to the adaptive capabilities and …

Circular economy has the potential to counter sustainability challenges by moving towards a
circular flow that enhances the efficiency of resource use. Government directives and …

Supply chain risk management embroils quite a lot of situations of managerial decision-
making under uncertainties. As contemporary supply chains are intricate networks exposed …

In the post epidemic era, food industry associations need to build a green and resilient (G-
resilient) supply chains network through supplier selection and order allocation (SS/OA) …