Operations Research, Systems Engineering and Industrial Engineering Commons^™

Simulation-Based Optimisation Model For The Lean Assessment In Sme: A Case Study, Amr Arisha, Amr Mahfouz, John Shea

Conference papers

Due to their space limitation and small production scale, small and medium enterprises (SME) are vulner-able to rapid changes. Lean principles are considered as effective improvement approach to eliminate sys-tem’s waste and inefficiencies. Although much of the academic materials have addressed the lean practic-es into large, global companies, they can still be adjusted to SMEs. Risks are usually associated with lean implementation process due to the drastic required changes in business policies and operations. Simulation can be successfully used to predict the impact of the proposed changes ahead of the implementation which helps to mitigate risks. Integrating simulation with optimization …

Anticipating U.S. Population-Level Health And Economic Impacts Using Discrete-Event Simulation To Guide Health Policy Decisions, Odette Reifsnider

All Dissertations

This dissertation presents two applications of discrete-event simulation (DES) to represent clinical processes: (1) a model to quantify the risk of the maternal obese and diabetic intrauterine environment influence on progression to adult obesity and diabetes, and (2) a model to evaluate health and economic outcomes of different smoking cessation strategies. The first application considers the public health impact of the diabetic and obese intrauterine environment's effect on the prevalence of diabetes and obesity across subsequent generations. We first develop a preliminary DES model to investigate and characterize the epidemiology of diabetes during pregnancy and birth outcomes related to maternal …

Development Of An Optimal Replenishment Policy For Human Capital Inventory, Bruce A Holt

Doctoral Dissertations

A unique approach is developed for evaluating Human Capital (workforce) requirements. With this approach, new ways of measuring personnel availability are proposed and available to ensure that an organization remains ready to provide timely, relevant, and accurate products and services in support of its strategic objectives over its planning horizon. The development of this analysis and methodology was established as an alternative approach to existing studies for determining appropriate hiring and attrition rates and to maintain appropriate personnel levels of effectiveness to support existing and future missions.

The contribution of this research is a prescribed method for the strategic analyst …

Evaluation System Design And Academic Performance Analysis Using Clustering And Simulation, Volkan Cakir

Engineering Management & Systems Engineering Theses & Dissertations

The starting point of this study was to understand the possible causes of evaluation system change in a military academic environment. With that motivation the objectives of this study were defined as examining student profiles in a military academy, establishing the nature of academic performance, comparing student groups that were identified by course scores, analyzing student performance changes over time and developing a manageable evaluation system and curriculum by comparing different scenarios.

An analysis was performed on the literature on academic performance prediction, cluster analysis methodologies and their development, and specifically summarized cluster analytic academic performance studies where these two …

Discrete Event Simulation Manual: Manufacturing Applications, Brian T. Hughes

Industrial and Manufacturing Engineering

Simulation, specifically discrete event simulation, is a useful tool for industrial and manufacturing engineers when dealing with system analysis. Currently, manufacturing engineers are only exposed to simulation for only a few weeks of their curriculum at Cal Poly. A series of labs are directed by a teacher’s assistant on how to complete a successful simulation experiment. However, there is no text available for student use during this demanding learning period. The simulation learning process involves learning a software program called ProModel, which students with little experience are expected to code, run, and interpret data from complex systems. By creating a …