Operations Research, Systems Engineering and Industrial Engineering Commons^™

Military Personnel Flight Customer Wait Time Reduction Model Using Simulation, Nicholas C. Anderson

Theses and Dissertations

Customers at Military Personnel Flights (MPFs) have been experiencing long wait times. These customers are typically employees of the United States Air Force and every moment spent waiting for service is a moment they are away from their actual jobs. By reducing the mean wait time of MPF customers, manhours can be saved and customer complaints may be alleviated. This research uses data collected from an MPF to build a discrete-event simulation model of an MPF. A full factorial experimental design was conducted in the model using five factors. The factors included the total number of employees, the total number …

Pre/Post Assessment Of Abilities, Paul Savory

Industrial and Management Systems Engineering: Instructional Materials

One approach to assess if students are learning in a course is to conduct a pre-test, post-test assessment of the course material. By comparing the two results, one can make an assessment of the knowledge learned in the course. For certain types of courses, it can be a challenge in defining an assessment instrument that measure student knowledge. This example is one I have developed for my IMSE 440/840 (Discrete Event Computer Simulation) course. Students are asked rate their ability for key course objectives defined on the course syllabus. I administer it on the first day of the course and …

A Template-Based Data Specification Framework For Modeling Physical Security Systems, Ashu Guru, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

Simulation studies often fail to provide any useful results due to its success being highly dependent on the skills of the analyst to understand a system and then correctly identify all the required data parameters and dependent variables. This paper describes a template-based framework to help identify and specify the components and data parameters for developing models of physical security systems. The layered framework consists of fifteen templates built on top of fourteen data primitives representing 119 data parameters. The modeling framework has been programmed as an internet-based web application and is simulation language independent. The usefulness of the framework …

Class Exercise For Assessing Abilities And Providing A Structure For A Course, Paul Savory

Industrial and Management Systems Engineering: Instructional Materials

I developed this class exercise to assess students abilities and to highlight the range of questions/issues that they will learn in my IMSE 440/840 (Discrete Event Computer Simulation) course. I draw a picture of the case scenario for students and explain the system’s operation to them. I then ask that they complete the questions regarding the system and/or how they would analyze it. Following class, I develop a summary of the range of student answers. At the next class session, I share the range of answers and share what my answers would be and how these questions/topics relate to what …

Discrete-Event Simulation: Simulation Practices And Trends, Paul Savory

Industrial and Management Systems Engineering: Presentations

Discrete-event computer simulation is one of industry’s most used operations research techniques. Its uses range from answering questions about work-in-process and production feasibility to comparing alternative plans for system routing and scheduling. This presentation offers a brief overview of practices and trends.

A Simulation Based Experiment For Comparing Amhs Performance In A Semiconductor Fabrication Facility, Gerald Mackulak, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

As the cost and complexity of constructing a semiconductor fabrication facility increases, responsive tools are needed for designing and planning its operations. Discrete-event simulation paired with design of experiments is an effective combination. This article demonstrates how simulation in combination with design of experiments is used to compare the intrabay layout of two automated material handling systems. The difference in stocker robot utilization, number of vehicle moves per hour, and average delivery time for the two intrabay layouts will be compared using a fractional factorial experimental design. The study demonstrates that the distributed storage option is preferable for maximizing manufacturing …

Simulating Queue Scheduling Policies For A Spacecraft Simulator, Paul Savory, Gene Saghi

Department of Industrial and Management Systems Engineering: Faculty Publications

The mission of the Cassini spacecraft is a unique opportunity to gain insights into major scientific questions about Saturn, the creation of the solar system, and the conditions that led to life on Earth. In preparation for the launch, NASA's Jet Propulsion Laboratory developed a software simulator to emulate the hardware data-control system of the spacecraft. Its primary use is to validate and verify commands that will be transmitted to the spacecraft. To improve the performance of the simulator, we used the SIMAN simulation language to model numerous queue-scheduling policies. Implementation of the simulation results combined with a software-code redesign …

An Aggregation Procedure For Simulating Manufacturing Flow Line Models, Paul Savory, Gerald Mackulak

Department of Industrial and Management Systems Engineering: Faculty Publications

We develop a formal method for specifying an aggregate discrete-event simulation model of a production flow line manufacturing system. The methodology operates by aggregating production stations or resources of a flow line. Determining the specifications for representing the aggregated resources in a simulation model is the focus of our presentation. We test the methodology for a set of flow lines with exponentially distributed arrival and service times. Comparisons between analytical and simulation results indicate the aggregation approach is quite accurate for estimating average part cycle time.

Simulation Project Characteristics In Industrial Settings, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

In a survey of practitioners of discrete-event simulation from industry and research institutes who "build models for money," we asked about project goals, user backgrounds and training, organizational types and activities, software and hardware choices, modeling team composition, and effort allocation within a modeling project. We found that (1) only about half of the practitioners have three or more years experience, (2) many academics feel strongly affiliated with their industry clients rather than with their university employers, (3) shop-floor supervisors rarely lead simulation projects, even though their knowledge of the system may be unparalleled, (4)simulation models are generally described as …

The Science Of Simulation Modeling, Paul Savory, Gerald Mackulak

Department of Industrial and Management Systems Engineering: Faculty Publications

Many people refer to simulation model building as an “intuitive art”. This implies that modeling can only be done by a select group of highly trained creative people and thus isolates many from considering simulation as a usable tool. Model building is a science that is learned through education, training and experience. In this paper, we discuss the role of science in performing a simulation study. We illustrate the teaching of the science of simulation by discussing the simulation curriculum at Arizona State University.

Extending Simulation’S Advantages To Novice Model Builders: Intellisim Tutorial, Paul Savory, Gerald Mackulak, Jeff Cochran

Department of Industrial and Management Systems Engineering: Faculty Publications

The potential benefits that discrete-event simulation offers are impeded by the high level of expertise necessary to successfully conduct a sound simulation study. As a solution, this paper introduces IntelliSIM, an intelligent simulation environment. Using this environment makes simulation more accessible to users by reducing the need for extensive experience or training. One of IntelliSIM’s key features for accomplishing this is a tutorial and training module that quickly acquaints a novice simulation user with IntelliSIM’s features and the process of performing a simulation study. This paper discusses this tutorial by explaining how IntelliSIM develops a simulation model, thus illustrating how …

Introduction To Intellisim 2.0, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

IntelliSIM is a prototype for a new generation of knowledge-based simulation tool that has been developed by the Systems Simulation Laboratory at Arizona State University. This tool is a computer environment that allows non-simulation trained modelers to predict the performance of a manufacturing system for which the necessary data is available. The system provides predictive data on such items as throughput time, queue levels, equipment utilization, reactions to machine failures, etc. With IntelliSIM, the benefits of discrete-event simulation can be exploited without requiring the high level of expertise necessary to successfully conduct a sound simulation study. The approach offered with …

Introduction To Intellisim 1.0, Paul Savory

Department of Industrial and Management Systems Engineering: Faculty Publications

IntelliSIM is a prototype for a new generation of knowledge-based simulation tool that has been developed by the Systems Simulation Laboratory at Arizona State University. This tool is a computer environment that allows non-simulation trained modelers to predict the performance of a manufacturing system for which the necessary data is available. The system provides predictive data on such items as throughput time, queue levels, equipment utilization, reactions to machine failures, etc. With IntelliSIM, the benefits of discrete-event simulation can be exploited without requiring the high level of expertise necessary to successfully conduct a sound simulation study. The approach offered with …

Material Handling In A Flexible Manufacturing Systems Processing Part Families, Paul Savory, Gerald Mackulak, Jeff Cochran

Department of Industrial and Management Systems Engineering: Faculty Publications

The objective of this simulation study is to analyze the system performance of a six machine flexible manufacturing system cell in which a material handling system is to be incorporated. The analysis focuses on determining the production potential of the cell by grouping common parts into "families". To accomplish this, computer simulation models are developed using the SIMAN simulation language.

Initially the manufacturing cell is modeled with no material handling system to get an upper bound estimate of production output. We next explore the impact that an automatic guided vehicle (AGV) has on system performance of the manufacturing system cell. …