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Articles 1 - 12 of 12

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Economic Simulation Modeling Of Reprocessing Alternatives For Corn Masa Byproducts, Kurt A. Rosentrater, Thomas L. Richard, Carl J. Bern, Rolando A. Flores Nov 2003

Economic Simulation Modeling Of Reprocessing Alternatives For Corn Masa Byproducts, Kurt A. Rosentrater, Thomas L. Richard, Carl J. Bern, Rolando A. Flores

Agricultural and Biosystems Engineering Publications

Increasing production of corn masa for tortillas, chips, and related snack foods is resulting in large quantities of organic residuals requiring environmentally sound management. These byproduct streams appear suitable for use as livestock feed material, thus eliminating landfilling costs. Possibilities for developing livestock feed include direct shipping to livestock feeding facilities, blending prior to shipping, extrusion processing, pellet mill processing, and dehydration. To assess the viability of these options for reprocessing masa byproducts as livestock feed materials, an economic model was developed and applied to each of these alternatives. Through a series of simulation runs with this model, it was ...


An Active Learning Environment In An Integrated Industrial Engineering Curriculum, Frank Peters, John K. Jackman, Sarah M. Ryan, Sigurdur Olafsson Oct 2003

An Active Learning Environment In An Integrated Industrial Engineering Curriculum, Frank Peters, John K. Jackman, Sarah M. Ryan, Sigurdur Olafsson

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

We are developing a new learning environment that supports a suite of interrelated modules based on real-world scenarios. The primary goals of the project are to integrate industrial engineering courses, improve students’ information technology skills, and enhance students’ problem solving skills. In particular, metacognitive abilities will be strengthened as students apply domain knowledge, data, methods and software tools while monitoring their own solution processes. This paper presents the design of two modules that have been developed.


Discrete Event Simulation Implemented In A Virtual Environment, Jason Kelsick, Lori Buhr, Cheryl Moller, Judy M. Vance Sep 2003

Discrete Event Simulation Implemented In A Virtual Environment, Jason Kelsick, Lori Buhr, Cheryl Moller, Judy M. Vance

Mechanical Engineering Publications

Virtual reality (VR) technology provides a human-computer interface that allows participants to interact naturally with digital objects which are represented as three-dimensional images that occupy positions in a three-dimensional world. Related to problems of engineering design and manufacturing, this new technology offers engineers the ability to work with computer models in a three-dimensional, immersive environment. This paper describes a virtual reality application where the results of a discrete event simulation of a manufacturing cell are integrated with a virtual model of the cell to produce a virtual environment. The program described in this paper, the VRFactory, combines results from a ...


Data Mining For Production Scheduling, Sigurdur Olafsson Jan 2003

Data Mining For Production Scheduling, Sigurdur Olafsson

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Data mining is a fast growing field and many industrial engineering applications generate large amounts of data to which data mining techniques can be applied. In this paper we develop a data mining framework for production scheduling. This involves preprocessing of historic schedules into an appropriate data file, discovery of key scheduling concepts, and representation of the data mining results in a way that enables its use for job scheduling.


Analysis Of Delayed Product Differentiation Under A Conwip Policy, Heedong Kim, Sarah M. Ryan Jan 2003

Analysis Of Delayed Product Differentiation Under A Conwip Policy, Heedong Kim, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Delayed product differentiation (DPD) increases manufacturers’ competitiveness by enabling faster responses to demand changes and has been shown to require less work in process (WIP) in base-stock systems. We model a system of two products using three CONWIP loops to represent the common processes and the differentiated processes for each product. DPD converts some differentiated processes to common ones. A nonlinear programming (NLP) model can determine kanban counts for each loop to achieve specified throughput bounds. Because these bounds are not tight, a heuristic algorithm starts from the NLP solution and adjusts the kanbans according to simulation. The results indicate ...


The Electronic Learning Portal: An Active Learning Environment For Information Technology Across The Curriculum, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan Jan 2003

The Electronic Learning Portal: An Active Learning Environment For Information Technology Across The Curriculum, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

We are developing a new system that supports a suite of interrelated computer modules based on real-world scenarios. The primary goals of the project are to integrate industrial engineering courses, improve students’ information technology skills, and enhance students’ problem solving skills. In particular, metacognitive abilities will be strengthened as students apply domain knowledge, data, methods and software tools while monitoring their own solution processes. This paper presents some of our results from a pilot study in a large engineering economic analysis course.


Scalable Optimization-Based Feature Selection Using Random Sampling, Jaekyung Yang, Sigurdur Olafsson Jan 2003

Scalable Optimization-Based Feature Selection Using Random Sampling, Jaekyung Yang, Sigurdur Olafsson

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

We analyze an optimization-based approach called the NP-Filter for feature selection and show how the scalability of this method can be improved using random sampling of instances from the training data. The NP-Filter has attractive theoretical properties as the final solution quality can be quantified and it is flexible in terms of incorporating various feature evaluation methods. We show how the NP-Filter can automatically adjust to the randomness that occurs when a sample of training instances is used, and present numerical results that illustrate both this key result and the scalability improvement that are obtained.


Allocation And Inventory Policies For Reels In Printed Circuit Board Assemblies, Abhishek Bandyopadhyay, Sachin Sulakhe, Sasidhar Malladi, Viveck Rao, Krishna Lakshminarasimhan, K. Jo Min Jan 2003

Allocation And Inventory Policies For Reels In Printed Circuit Board Assemblies, Abhishek Bandyopadhyay, Sachin Sulakhe, Sasidhar Malladi, Viveck Rao, Krishna Lakshminarasimhan, K. Jo Min

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

In Printed Circuit Board (PCB) assemblies, various types of reels loaded with different components are extensively utilized. We examine the inventory and allocation policies across assembly lines when the number and size of the reels substantially affect the assembly efficiency (e.g., when the number of available slots in a chip shooter is relatively limited). Critical features of the policies are illustrated via numerical examples.


Information Technology Based Active Learning: A Pilot Study For Engineering Economy, Sigurdur Olafsson, Mary Huba, John K. Jackman, Frank E. Peters, Sarah M. Ryan Jan 2003

Information Technology Based Active Learning: A Pilot Study For Engineering Economy, Sigurdur Olafsson, Mary Huba, John K. Jackman, Frank E. Peters, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

We have recently designed a learning environment to add practical problem solving, increased information technology content, and active learning to industrial engineering courses. In particular, we have successfully implemented and tested a computer-based module for an undergraduate engineering economy course. In this module, students are required to formulate the problem, devise a plan of action, and derive a final solution using the domain knowledge acquired in class. In addition to improving understanding of the course material, the module is also designed to improve more general cognitive skills and specifically to enhance the metacognitive ability of the participating students. A prototype ...


Total Wip And Wip Mix For A Conwip Controlled Job Shop, Sarah M. Ryan, F. Fred Choobineh Jan 2003

Total Wip And Wip Mix For A Conwip Controlled Job Shop, Sarah M. Ryan, F. Fred Choobineh

Industrial and Manufacturing Systems Engineering Publications

A planning procedure to set the constant level of Work-In-Process (WIP) for each product type in a job shop operated under CONWIP control is developed. We model the job shop as a single chain multiple class closed queuing network. Given a specified product mix and a total WIP, a nonlinear program bounds the throughput of the network and optimizes the WIP mix. We identify the minimum total WIP that is guaranteed to yield throughput near the maximum possible for the specified product mix and set individual WIP levels by multiplying the optimal WIP mix proportions by the minimum total WIP ...


Capacity Expansion With Lead Times And Autocorrelated Random Demand, Sarah M. Ryan Jan 2003

Capacity Expansion With Lead Times And Autocorrelated Random Demand, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

The combination of uncertain demand and lead times for installing capacity creates the risk of shortage during the lead time, which may have serious consequences for a service provider. This paper analyzes a model of capacity expansion with autocorrelated random demand and a fixed lead time for adding capacity. To provide a specified level of service, a discrete time expansion timing policy uses a forecast error-adjusted minimum threshold level of excess capacity position to trigger an expansion. Under this timing policy, the expansion cost can be minimized by solving a deterministic dynamic program. We study the effects of demand characteristics ...


Capacity Expansion For A Loss System With Exponential Demand Growth, Alexander Simampo, Sarah M. Ryan Jan 2003

Capacity Expansion For A Loss System With Exponential Demand Growth, Alexander Simampo, Sarah M. Ryan

Industrial and Manufacturing Systems Engineering Publications

We study a loss system to forecast the demand for capacity based on the forecast demand for service and a specified service level. A little-used property of the Erlang loss formula allows the linear transformation of demand for service into demand for capacity. Next, given the forecast demand for capacity, we approximate a long-run optimal capacity expansion policy by optimizing over successively longer finite time horizons. Analytical formulas together with regression analysis show the significance of the number of potential customers, frequency and duration of their requests for service, and the specified service level on the demand for capacity. Numerical ...