Effective management of complex software projects depends on the ability to solve complex, subtle optimization problems. Most studies on software project management do not pay enough attention to difficult problems such as employee-to-task assignments, which require optimal schedules and careful use of resources. Commercial tools, such as Microsoft Project, assume that managers as users are cap...

This paper describes an approach to using simulation and visualization of discrete event oriented simulation models for multi-criteria scheduling optimization with genetic algorithms. A simulation model was used for fitness function computation of genetic algorithm results, as well as for visual representation of process behavior of a chosen schedule following genetic algorithm optimization. In...

The purpose of this study was to reduce patient waiting times, improve system throughput and improve resources utilization in radiology department. A discrete event simulation model was developed using Arena simulation software to investigate different alternatives to improve the overall system delivery based on adding resource scenarios due to the linkage between patient waiting times and reso...

A resource investment problem is a project-scheduling problem in which the availability levels of the resources are considered as decision variables and the goal is to find a schedule, and resource requirement levels, such that some objective function optimizes. In this paper, we consider a resource investment problem in which the goal is to maximize the net present value of the project cash fl...

A resource investment problem is a project-scheduling problem in which the availability levels of the resources are considered decision variables and the goal is to find a schedule and resource requirement levels such that some objective function optimizes. In this paper, we consider a resource investment problem in which the goal is to maximize the net present value of the project cash flows. ...

This paper deals with the service performance analysis and improvement using discrete event simulation has been used. The simulation of the health care has been done by arena master development 14-version software. The performance measurement for this study are patients output, service rate, service efficiency and it is directly related to waiting time of patients in each service station, work ...

Resource-constrained project scheduling problems are one of the most studied scheduling problem, and constraint programming with nogood learning provides the state-of-the-art solving technology for them, at least when the aim is minimizing makespan. In this paper we examine the closely related problem of scheduling producers and consumers of discrete resources and reservoirs. Producer/consumer ...

The purpose of this study is to examine different scenarios for implementing operations in the pre-construction phase of a project, based on several competing criteria with different importance levels in order to achieve a more efficient execution plan. This paper presents a new framework that integrates discrete event simulation (DES) and data envelopment analysis (DEA) to rank different scena...

Many embedded systems, especially real-time systems, are used in safety-critical applications such as cars and aircraft. The consequences of different scheduling algorithms for such systems have to be properly understood. Software which simulates scheduling processes supports the research and development of new scheduling policies. It may be used for educational purposes, as simulation and visu...

A number of problems, concerned with resource sharing, have to be solved when considering a cooperative resource sharing environment. One problem is the question, how many resources of a participating site should be contributed to the environment. This problem can be addressed by a simulation-aided decision support system. The idea of such a system is to create different what-if scenarios and s...