This study uses the wavelet leaders method to examine multifractal characteristics and multiscale entropy patterns in price returns of four energy markets, Brent, West Texas Intermediate (WTI), gasoline, and heating oil, before and during the COVID-19 pandemic. The results show that price...

This paper studies a mathematical analysis of scrap item-based single server stochastic queueing, which consists of storage space for the scrap items collected from the customers. The primary customers arrive in the finite waiting hall to sell scrap or recyclable products. The server collects...

Artificial Intelligence (AI) has opened up tremendous opportunities in the workplace through robotics innovation, which envelops both AI and the Internet of Things (IoT). Precision, Efficiency, and Flexibility are considered the potential benefits of Industry 4.0. The implementation of Industry...

The cumulative scheduling problem has been traditionally represented using a discrete time formulation, incorporating the variable resource consumption of each job as decision variables. In our research, we aim to provide a more accessible approach to formulating a specific configuration of this...

The Circular Economy (CE) concept has emerged as a promising alternative for addressing the serious challenges faced by industries with high involvement in environmental pollution and waste generation. CE can contribute to minimizing waste generation and ecological degradation and ensuring...

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns to enhance the search quality and population diversity. The HBF has five concepts: (1) Smaller steps toward position updating are more likely than larger ones, (2) Position...

The apparel manufacturing industry faces challenges due to fast-changing fashion trends, increased product variety, and personalized demands. Quick and optimized decision-making is crucial to overcome these barriers. This study aims to develop a methodology for applying Digital Twin (DT)...

Autonomous multi-robot systems are restricted by their coordination ability with one another. Coordination entails the simultaneous division of tasks, the assignment of tasks, the formation of teams, the scheduling of tasks, and the routing of tasks. These activities are called task planning....

In the present-day automobile, aviation, marine, defence and manufacturing industries, aluminium metal matrix composites (Al-MMCs) have found immense applications due to their higher strength-to-weight ratio, toughness, thermal stability, and excellent corrosion and wear resistance properties....

This study proposes an integrated Decision Support System (DSS) with Multi-Criteria Decision-Making (MCDM) to evaluate trainers in organizations and choose the most suitable one(s) for a training program. The clustering stage determines the most appropriate number of trainees to be assigned to a...