The Vehicle Routing Problem (VRP) is among the most studied optimization problems in the field of supply chain management. Typically, VRP requires dispatching a fleet of vehicles from a central depot to deliver demand to pre-determined spatially dispersed customers, with the objective of minimizing the total routing cost, and the constraint of not exceeding vehicles' capacities. Agent Based

The use of modeling and simulation as a decision aid tool has been widely recognized in the field of production engineering. In this work, modeling and simulation is used to examine, analyze, and recommend improvements for the performance of an existing assembly line within a manufacturing facility. Several key performance indicators (KPIs) are determined to evaluate the performance of the

This work assesses the economic sustainability of industrial factories in Egypt based on the Analytical Hierarchical Process (AHP). The authors designed an economic sustainability index calculator (ESIC) using Unified Modelling Language (UML) and implemented the software using Visual basic of Applications (VBA) tool to the code the program. UML was used for the system analysis and design only

At the time of writing, the COVID-19 pandemic is one of the lead causes of death worldwide and has caused significant changes to everyone's lives. While a vaccine is still unavailable, early screenings and detection of the disease can significantly help in managing the healthcare system's capacity as well as allow radiologists and clinicians better assign their priorities. With deep learning's

This study evaluates the performance of a secure ground-to-satellite free-space optical (FSO) system using a bipolar pulse amplitude modulation over modulated gamma fading channel. A closed-form expression is derived for the joint probability of a satellite-based continuous-variable quantum key distribution (CV-QKD) protocol that uses dual-threshold detection. Furthermore, to study the system

Meta heuristic algorithms are very important methods, they used mainly in solving combinatorial optimization problems. They are stochastic in manner and simulate the behavior of any population of particles. Meta heuristics algorithms try to find optimal or near to optimal solution when solving complex optimization problem. In this paper two modified emperor penguins colony optimization algorithms

In this paper, we report an effective cryptosystem aimed at securing the transmission of medical images in an Internet of Healthcare Things (IoHT) environment. This contribution investigates the dynamics of a 2-D trigonometric map designed using some well-known maps: Logistic-sine-cosine maps. Stability analysis reveals that the map has an infinite number of solutions. Lyapunov exponent

Recently, research studies were directed to the construction of a universal defect prediction model. Such models are trained using different projects to have enough training data and be generic. One of the main challenges in the construction of a universal model is the different distributions of metrics in various projects. In this study, we aim to build a universal defect prediction model to

Green buildings are becoming an essential part of sustainable development. There have been several research trends for green buildings since 1995. The present study presents a roadmap for green/sustainable research trends and proposes a new green building rating system for existing buildings. A questionnaire was established and answered by experts, where answers were analyzed using the decision

Reducing energy consumption is a global concern for all industries. Modern communications systems facilitate human interactions compared to previous ages. Telecommunications and IT are among the fast-growing industries with rapid demand for more energy. Moreover, the wide adoption of wireless mobile communications applications has resulted in installing massive numbers of Base Station (BS) sites