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 Modelling (ABM) assists industries in the use of technology to support their decision-making process. This paper proposes a model of an Agent Based Vehicle Routing Problem System. The system under study is

Crime records management is a system that helps police keep records of citizens’ complaints files, investigation evidence and processes. In addition, it helps police keep records of the criminals who have been arrested or who are to be arrested. This paper aims to model the Crime Record Management System (CRMS) using various Unified Modeling Language (UML) diagrams, to demonstrate an explicit visualization of the system. Also, showing the communication among different actors, and the sequence of activities and interactions. The perspective of modeling the CRMS is by covering four stages, which

The unsteady flow field variations between healthy and diseased three-dimensional rigid posterior cerebral artery are numerically investigated. The Computational hemodynamic simulations have been known to provide valuable clinical information to researchers and surgeons that proved to be crucial for the assessment of medical risks, pre-surgical conditioning and treatment planning. The wall shear stress (WSS) and wall pressure are the most important hemodynamic variables, and both are used to give accurate description about the health status of the artery. The results showed that at the

The aim of this empirical article is identifying and showing the key challenges and core problems faced by private universities with international affiliation, located in west Cairo, when applying online educational learning in the context of COVID-19. As well, it aims to assist in assembling the lessons learned to maximize the learning impact. a mixed-methods approach was used and it included: (1) observations complemented with five in-depth interviews with experienced faculty members and decision-makers (2) followed by a survey to comprehend the drivers of students’ satisfaction concerning

We present a numerical solution by finite differences to a linear, plane, initial-boundary-value problem of thermo-piezoelasticity in a quarter-space, within the dual-phase-lag model. Motion is excited by a one-period heat regime applied to one boundary of the medium. The relation between the two relaxation times is clarified in order to obtain wave-like solutions. An explicit, three-level numerical scheme is proposed to solve the problem under concrete initial and boundary conditions. The obtained results are discussed and three-dimensional plots of the unknown functions are presented. They

The system of equations of the generalized piezothermoelasticity in anisotropic medium with dual-phase-lag model is established. The exact expressions for displacement components, the temperature, stress components, electric potential and electric displacements are given in the physical domain and illustrated graphically. These expressions are calculated numerically for the problem. Comparisons are made with the results predicted by Lord–Shulman theory and dual-phase-lag model. It is shown that the results from both theories are close to each other for thin slabs, while they differ

Modularity concepts play an important role in the process of developing new complex products. Modularization involves dividing a product into a set of modules - each of which consisting of a set of components - that are interdependent in the same cluster and independent between clusters. During this process, a product can be represented using a Design Structure Matrix (DSM). A DSM acts as a tool for system analysis to provide clear visualization of product elements. In addition, DSM, shows the interactions between these product elements. This paper aims to propose an efficient optimization

The globalization and rapid industrialization of any country is a function of availability of electricity in desired quality and quantity. Nigeria and Egypt are the most populated countries in West and North Africa respectively with incredible energy resources both renewable and non-renewable. Yet, the former is highly energy deficient when compared to the later. In recent time, the appropriate authorities have tried earnestly to reform the sector with the intent to improve the unpalatable situation through the liberalization of the vertically integrated structure of the power industries. In

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 MEPC1 and MEPC2 were developed. Original Emperor Penguins Colony (EPC) algorithm simulates the behavior of emperor of penguins, two modifications are done to the original EPC, Archimedes and

This paper aims to conduct a feasibility study of producing fuel from plastic waste. It is a suggested approach to deal with the huge production of synthetic plastic around the world, so as to avoid its accumulation in landfills and the depletion of resources. Several types of research have addressed the conversion of plastic waste into energy, and in this study the authors focused on using pyrolysis to convert plastic to liquid oil. Accordingly, the volume of the waste was reduced significantly, and the produced liquid oil had a high calorific value in comparison to fossil fuel. The authors