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 to serve the rapid demand for wider mobile coverage and the growing need for more capacity and speed. These Base Stations are responsible for the major part of the energy needs of mobile wireless

In the era of digital transformation, a mass disruption in the global industries have been detected. Big data, the Internet of Things (IoT) and Artificial Intelligence (AI) are just examples of technologies that are holding such digital disruptive power. On the other hand, retailing is a high-intensity competition and disruptive industry driving the global economy and the second largest globally in employment after the agriculture. AI has large potential to contribute to global economic activity and the biggest sector gains would be in retail. AI is the engine that is poised to drive the

Purpose - The purpose of this paper is to present a dynamic model to measure the degree of system's leanness under dynamic demand conditions using a novel integrated metric. Design/methodology/approach - The multi-stage production system model is based on a system dynamics approach. The leanness level is measured using a new developed integrated metric that combines efficiency,WIP performance as well as service level. The analysis includes design of experiment technique at the initial analysis to examine the most significant parameters impacting the leanness score and then followed by

Cloud computing has become the most convenient environment for startups to run, build and deploy their products. Most startups work on availing platforms as a solution for problems related to education, health, traffic and others. Many of these platforms are mobile applications. With platforms as a service (PaaS), startups can provision their applications and gain access to a suite of IT infrastructure as their business needs. But, startups face many business and technical challenges to adapt rapidly to cloud computing. This paper helps startups to build a migration strategy. It discusses