Research on the application of 3D visualization and virtual reality (VR) in discrete-event simulation (DES) has received increased attention past two decades. The increasing popularity display DES is mainly due to superior capabilities associated benefits that it offers. However, 2D also continues enjoy active use date, thus provoking some fierce debates questioning need for VR if interface suffices. Several studies comparing effectiveness different methods produce conclusions. This paper...

The use of the internet and web-based platforms to obtain public health information manage health-related issues has become widespread in this digital age. practice is so pervasive that first reaction obtaining "Google it." As SARS-CoV-2 broke out Wuhan, China, December 2019 quickly spread worldwide, people flocked learn about novel coronavirus disease, COVID-19. Lagging responses by governments agencies prioritize dissemination outbreak through World Wide Web build trust gave room for...

Classification is an important decision making tool, especially in the medical sciences. Unfortunately, while several classification procedures exist, many of current methods fail to provide adequate results. In recent years, artificial neural networks have been suggested as alternative tool for classification. Here, we use predict onset diabetes mellitus Pima Indian women. The modeling capabilities are compared traditional like logistic regression and a specific method called ADAP, which...

Abstract During the Annual Operational Research Society Simulation Workshop in Worchester, UK, 2010, a panel discussion entitled “discrete‐event simulation (DES) is dead, long live agent‐based (ABS)!” was held. Subsequent debates on topic have captured interest of many professionals and researchers. This study lends credence to discourse with evidence. In January 2020, global health crisis named coronavirus disease (COVID‐19) occurred, infecting killing millions people globally, leading...

ERP systems have been identified as platform technologies that permit the adoption of subsequent leverage information integration created by an system. Although significant research attention has directed at system adoption, very little paid to understanding ERP-enabled is, adoptions occur and are facilitated after initial This paper seeks fill this void. Synthesizing existing works, authors construct a model examines link between adoption. The results indicate factors (Extent Implementation...

ABSTRACT We consider the activity‐based costing situation, in which for each of several comparable operational units, multiple cost drivers generate a single pool. Our study focuses on published data from set property tax collection offices, called rates departments, London metropolitan area. define what may be benchmark or most efficient costs per unit driver. A principle maximum performance efficiency is proposed, and an approach to estimating derived this principle. validation estimation...

Abstract Field service managers are often faced with the problem of balancing number technicians, territory size, and field quality. This paper presents an approximate state-dependent queuing model that can help make these tradeoffs. Simulation experiments over a variety environments demonstrate this is quite accurate for predicting mean travel time response time. The has been imbedded in decision support system implemented by Fortune 100 company. Management found very useful making...

Despite the tremendous stress on sexual harassment (SH) policy, advances in policy construction, and a substantial body of research, SH remains persistent presence workplace. This study examines from complex adaptive system viewpoint. is modeled using agent-based simulation, where influence individual, situational, organizational characteristics can be studied. Our model accommodates adjustment each these to reflect alternate organization environments. As such, proposed used as an effective...

Classification problems are often encountered in medical diagnosis. This paper presents an introduction to classification theory and shows how artificial neural networks can be used for classification. We also map out a bootstrapped procedure interval estimation of posterior probabilities. The entire is illustrated using the diabetes mellitus data Pima Indians.

Cost–volume–profit (CVP) analysis is a widely used decision tool across many business disciplines. The current literature on stochastic applications of the CVP model limited in that studied under restrictive forms Gaussian and Lognormal distributions. In this paper we introduce Mellin Transform as methodology to generalize modeling problem. We demonstrate versatility using transform problem, present generalization when contribution margin sales volume are both defined by continuous random