Grid computing, emerging as a new paradigm for next-generation computing, enables the sharing, selection, and aggregation of geographically distributed heterogeneous resources for solving large-scale problems in science, engineering, and commerce. The resources in the Grid are heterogeneous and geographically distributed. Availability, usage and cost policies vary depending on the particular us...

The Research and De®elopment Pipeline management problem has far-reaching economic implications for new-product-de®elopment-dri®en industries, such as pharmaceutical, biotechnology and agrochemical industries. Effecti®e decision-making is required with respect to portfolio selection and project task scheduling in the face of significant uncertainty and an e®er-constrained resource pool. The her...

A mismatch between patient demand and emergency departments (EDs)’ capacity to deliver care often leads poor flow overcrowding, therefore an increase in waiting. This paper presents a mid-term decision support system dealing with scheduling allocation of resources the ED Hospital Center Troyes, France. An efficient performance evaluation tool based on discrete event simulation (DES) is develope...

Focusing on resource cycles, the authors developed a semiconductor wafer factory (fab) simulation that executed more than an order of magnitude faster than a job-tracing simulation previously in use. The authors summarize the methodologies used and conclude that the differences in execution speeds are due to the fundamental differences in using an event graph paradigm to model the discrete even...

Resource allocation optimization is a typical cloud project scheduling problem: a problem that limits a cloud system’s ability to execute and deliver a project as originally planned. The entropy, as a measure of the degree of disorder in a system, is an indicator of a system’s tendency to progress out of order and into a chaotic condition, and it can thus serve to measure a cloud system’s relia...

Simulation models and business application software as they are used for decision support in enterprise management are both representations of an enterprise’s actual operations. This paper describes a unified simulation and application framework where it is possible to represent the entire performance process along a supply chain in a unified business model, improve its performance with discret...

This paper presents a decision support system for improving the management of intermodal container terminals. It is implemented as a modular architecture which integrates a forecasting model, a planner and a simulation module. While the forecasting module estimates container traffic, the planning module uses this information to generate efficient policies for storage, resource allocation and sc...

project scheduling   net present value   we consider a project scheduling problem with permitted tardiness and discrete time/resource trade-offs under maximum net present value objective. in this problem, a project consists of a set of sequential phases such that each phase contains one or more sub-projects including activities interrelated by finish-start-type precedence relations with a time ...

Discrete event simulation has been successfully employed as an analysis tool for predicting the effect changes have on existing and hypothetical systems. This insight allows for more informed appraisals of alternatives, greatly enhancing the planning function. Simulation modelling allows microscopic analysis of complex system dynamics giving the intimate understanding required to maximise the e...