Manuel D. Rossetti

Bio: Manuel D. Rossetti is an academic researcher from University of Arkansas. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 20, co-authored 97 publications receiving 1774 citations. Previous affiliations of Manuel D. Rossetti include University of Virginia & Ohio State University.

Proceedings of the 2004 winter simulation conference

Abstract: “Spreadsheet simulation” refers to the use of a spreadsheet as a platform for representing simulation models and performing simulation experiments. This tutorial explains the reasons for using this platform for simulation, discusses why this is frequently an efficient way to build simulation models and execute them, describes how to setup a spreadsheet simulation, and finally examines some limitations on the use of spreadsheets for simulation.

Emergency department simulation and determination of optimal attending physician staffing schedules

Abstract: Efficient allocation and utilization of staff resources is an important issue facing emergency department (ED) administrators. Increased pressure from competition, health care reform, reimbursement difficulties, and rising health care costs are primarily responsible for the high level of interest in this, and other ED operating efficiency issues. The paper discusses the use of computer simulation to test alternative ED attending physician staffing schedules and to analyze the corresponding impacts on patient throughput and resource utilization. The simulation model can also be used to help identify process inefficiencies and to evaluate the effects of staffing, layout, resource, and patient flow changes on system performance without disturbing the actual system. The development of this model was based on the Emergency Department at the University of Virginia Medical Center in Charlottesville, Virginia.

Simulation Modeling and Arena

Abstract: Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena(R), Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: * Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation * Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation * A guide to the Arena Run Controller, which features a debugging scenario * New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science * A related website with an Instructor's Solutions Manual, PowerPoint(R) slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.

Multiple‐buyer procurement auctions framework for humanitarian supply chain management

Abstract: Purpose – The purpose of this paper is to address the inefficiency in resource allocation for disaster relief procurement operations. It presents a holistic and reconfigurable procurement auctions‐based framework which includes the announcement construction, bid construction and bid evaluation phases.Design/methodology/approach – The holistic framework is developed in a way that auctioneers and bidders compete amongst each other in multiple rounds of the procurement auction. Humanitarian organization in disaster locations are considered as auctioneers (buyers) and suppliers are considered as bidders.Findings – Unique system parameters (e.g. announcement options, priority of items, bidder strategies, etc.) are introduced to represent the disaster relief environment in a practical way. The framework is verified by simulation and optimization techniques using the system characteristics of the disaster relief environment as an input. Based on the parameters and their values, behavioural changes of auctioneers...

Fundamentals of Queueing Theory

Abstract: Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.