Multicriteria methods have gained traction in academia and industry practices for effective
decision-making. This systematic review investigates and presents an overview of multi …

In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

This paper presents a comparative analysis of the outcomes achieved when two widely
applied methods for supplier selection—the 'technique for order of preference by similarity to …

The main objective of this study is to develop a reliable model for the identification of
locations for the installation of wind farms, which will provide significant support to planners …

Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

Highlights•Data-driven genetic algorithm is proposed and employed for machining process
parameters optimization.•Deep learning is employed to automatically develop the data …

Engineering design problems are often multi-objective in nature, which means trade-offs are
required between conflicting objectives. In this study, we examine the multi-objective …

This study proposes an intelligent green scheduling system for cold chain logistics (IGSS-
CCL) to support the integration and coordination of resources. Post-COVID-19, the …

Purpose The paper proposes a decision support system for selecting logistics providers
based on the quality function deployment (QFD) and the technique for order preference by …