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Articles 181 - 210 of 220
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Effectiveness Of An On-Line Graduate Engineering Management Course: A Preliminary Study, Rosemarie Maffei Evans, Madison Daily, Susan L. Murray
Effectiveness Of An On-Line Graduate Engineering Management Course: A Preliminary Study, Rosemarie Maffei Evans, Madison Daily, Susan L. Murray
Engineering Management and Systems Engineering Faculty Research & Creative Works
In the summer of 1997, the University of Missouri-Rolla's (UMR) Engineering Management Department began offering its first completely Web-based course. This graduate level course, Advanced Production Management, was designed to utilize a combination of Web-based tools to create a conducive, yet non-traditional, learning environment for its students. The students in the course did not physically have to attend any lectures and only met for an initial and final class period. The remainder of the course was conducted exclusively via Web-based tools. Accordingly, the Engineering Management Department commenced a research effort to determine the effectiveness of this new learning environment. This …
On-Line Team Project Communication Tool Set, Halvard E. Nystrom, D. R. Risco
On-Line Team Project Communication Tool Set, Halvard E. Nystrom, D. R. Risco
Engineering Management and Systems Engineering Faculty Research & Creative Works
Team projects offer a valuable mechanism for effective learning. However, communication within the team, with the instructor and between different teams is a challenging task that can greatly limit the effectiveness of the learning experience. Some of the tools and concepts that are being developed for distance learning applications can be used to enhance team project communication within teams that are geographically separated as well as for in-campus teams. This article documents a set of on-line tools that allow for asynchronous team participation and timely monitoring and feedback by the instructor.
A Hybrid System For Well Test Analysis, Edward A. May, Cihan H. Dagli
A Hybrid System For Well Test Analysis, Edward A. May, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Petroleum well test analysis is a tool for estimating the average properties of the reservoir rock. It is a classic example of an inverse problem. Visual examination of the pressure response of the reservoir to an induced flow rate change at a well allows the experienced analyst to determine the most appropriate model from a library of generalized analytical solutions. Rock properties are determined by finding the model parameters that best fit the observed data. This paper describes a framework for hybrid network to assist the analyst in selecting the appropriate model and determining the solution. The hybrid network design …
A Transmission-Constrained Unit Commitment Method, Chung-Li Tseng, Chao-An Li, S. S. Oren, C. S. Cheng, A. J. Svoboda, R. B. Johnson
A Transmission-Constrained Unit Commitment Method, Chung-Li Tseng, Chao-An Li, S. S. Oren, C. S. Cheng, A. J. Svoboda, R. B. Johnson
Engineering Management and Systems Engineering Faculty Research & Creative Works
The paper presents a transmission-constrained unit commitment method using a Lagrangian relaxation approach. The transmission constraints are modeled as linear constraints based on a DC power flow model. The transmission constraints, as well as the demand and spinning reserve constraints, are relaxed by attaching Lagrange multipliers. The authors take a new approach in the algorithmic scheme. A three-phase algorithm is devised including dual optimization, a feasibility phase and unit decommitment. A test problem involving more than 2500 transmission lines and 2200 buses is tested along with other test problems
An Object-Based Evolutionary Algorithm: The Nesting Solution, Kanchitpol Ratanapan, Cihan H. Dagli
An Object-Based Evolutionary Algorithm: The Nesting Solution, Kanchitpol Ratanapan, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The nesting problems have received considerable attention and have been addressed by a variety of algorithms. Recently, evolutionary algorithms have been adopted for solutions. Most of these algorithms, however, require a search in one-dimensional space; thus a transformation of the problem to a single dimension, as in the sequencing problems, is needed. Unfortunately, this restricts the search space. In this study an object-based evolutionary algorithm for the nesting problems is proposed. The methodology is created in a true two-dimensional space, allowing object-based mechanisms and object-based evolutionary operators to perform effectively on the space without restricting search alternatives. Implementation of the …
A Robust Unit Commitment Algorithm For Hydro-Thermal Optimization, Chao-An Li, R. B. Johnson, A. J. Svoboda, Chung-Li Tseng, E. Hsu
A Robust Unit Commitment Algorithm For Hydro-Thermal Optimization, Chao-An Li, R. B. Johnson, A. J. Svoboda, Chung-Li Tseng, E. Hsu
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents a unit commitment algorithm which combines the Lagrangian relaxation (LR), sequential unit commitment (SUC), and optimal unit decommitment (UD) methods to solve a general hydro-thermal optimization (HTO) problem. We argue that this approach retains the advantages of the LR method while addressing the method''s observed weaknesses to improve overall algorithm performance and quality of solution. The proposed approach has been implemented in a version of PG&E''s HTO program, and test results are presented.
Engineering Management And Industrial Engineering: Six One Way, A Half Dozen The Other, Susan L. Murray, Stephen A. Raper
Engineering Management And Industrial Engineering: Six One Way, A Half Dozen The Other, Susan L. Murray, Stephen A. Raper
Engineering Management and Systems Engineering Faculty Research & Creative Works
To some people engineering management (EM) is a specialty within Industrial Engineering (IE), to others EM is broader than IE. Comparing the histories of the two disciplines shows a clear distinction. Both disciplines have their roots in the work of engineering pioneers at the turn of the century. Work in motion and time study, along with other efficiency driven techniques, was the beginning of IE. Both IE and EM can trace their roots to the era of scientific management and the work of the early pioneers. A noted change for IE occurred after World War II when many programs shifted …
Integrating Core Industrial Engineering Courses Through A Manufacturing Case Study, Susan L. Murray
Integrating Core Industrial Engineering Courses Through A Manufacturing Case Study, Susan L. Murray
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents a summary of research conducted by a team of students from the University of Missouri-Rolla. The manufacturing processes at a local firm were evaluated. The case study illustrates the benefits of applying ergonomic, safety, work measurement, and quality assessment tools together. Additionally this team approach illustrates the importance of educating engineering students to think across course and discipline lines. The paper concludes with generalized recommendations for other educational applications.
A Robust Unit Commitment Algorithm For Hydro-Thermal Optimization, Chao-An Li, Chung-Li Tseng, E. Hsu, R. B. Johnson, A. J. Svoboda
A Robust Unit Commitment Algorithm For Hydro-Thermal Optimization, Chao-An Li, Chung-Li Tseng, E. Hsu, R. B. Johnson, A. J. Svoboda
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents a unit commitment algorithm which combines the Lagrangian relaxation (LR), sequential unit commitment (SUC), and optimal unit decommitment (UD) methods to solve a general hydro-thermal optimization (HTO) problem. The authors argue that this approach retains the advantages of the LR method while addressing the method''s observed weaknesses to improve overall algorithm performance and quality of solution. The proposed approach has been implemented in a version of PG&E''s HTO program, and test results are presented.
Hydro Unit Commitment In Hydro-Thermal Optimization, Chao-An Li, E. Hsu, Chung-Li Tseng, A. J. Svoboda, R. B. Johnson
Hydro Unit Commitment In Hydro-Thermal Optimization, Chao-An Li, E. Hsu, Chung-Li Tseng, A. J. Svoboda, R. B. Johnson
Engineering Management and Systems Engineering Faculty Research & Creative Works
In this paper, the authors develop a model and technique for solving the combined hydro and thermal unit commitment problem, taking into full account the hydro unit dynamic constraints in achieving overall economy of power system operation. The combined hydrothermal unit commitment problem is solved by a decomposition and coordination approach. Thermal unit commitment is solved using a conventional Lagrangian relaxation technique. The hydro system is divided into watersheds, which are further broken down into reservoirs. The watersheds are optimized by network flow programming (NFP). Priority-list-based dynamic programming is used to solve the hydro unit commitment (HUC) problem at the …
A Biologically Inspired Connectionist Architecture For Directing Attention To Salient Visual Field Objects, David Lee Enke
A Biologically Inspired Connectionist Architecture For Directing Attention To Salient Visual Field Objects, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
In an attempt to incorporate basic visual attention abilities into existing artificial vision systems, a neural model of the bidirectional interactions within and between the brain regions believed to be involved in human visual attention has been developed. This model currently gives an artificial vision system the ability to attend to salient, or pop-out features and objects within the vision system''s field of view. After a review of the physiology of human visual attention, a network model of the aforementioned neural interactions is presented, followed by a demonstration of its performance.
Managing Cultural Differences For Engineers, Halvard E. Nystrom
Managing Cultural Differences For Engineers, Halvard E. Nystrom
Engineering Management and Systems Engineering Faculty Research & Creative Works
Understanding cultural issues, developing cross-cultural communication skills and recognizing the need to effectively apply these skills in the global arena are becoming critical success factors for an increasing number of engineers. To address these needs, an engineering management class has been developed at the University of Missouri-Rolla, USA, that uses a team project approach as the major method to achieve the learning objectives. The student teams develop training manuals for dealing with engineers from specific international cultures, based on the material learned in class as well as personal interactions with individuals of the specific ethnic background. An application of this …
Short-Term Resource Scheduling With Ramp Constraints [Power Generation Scheduling], Chung-Li Tseng, Chao-An Li, A. J. Svoboda, R. B. Johnson
Short-Term Resource Scheduling With Ramp Constraints [Power Generation Scheduling], Chung-Li Tseng, Chao-An Li, A. J. Svoboda, R. B. Johnson
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper describes a Lagrangian relaxation-based method to solve the short-term resource scheduling (STRS) problem with ramp constraints. Instead of discretizing the generation levels, the ramp rate constraints are relaxed with the system demand constraints using Lagrange multipliers. Three kinds of ramp constraints, startup, operating and shutdown ramp constraints are considered. The proposed method has been applied to solve the hydro-thermal generation scheduling problem at PG&E. An example alone with numerical results is also presented
An Object-Based Evolutionary Algorithm For Solving Rectangular Piece Nesting Problems, Kanchitpol Ratanapan, Cihan H. Dagli
An Object-Based Evolutionary Algorithm For Solving Rectangular Piece Nesting Problems, Kanchitpol Ratanapan, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Nesting problems have been tackled by researchers using a vast number of algorithms in the past. Most of the algorithms, however, need to perform on a one-dimensional space. Therefore, the problem must be transformed into a one-dimensional space problem similar to the travelling salesman problem. Consequently, loss of solutions due to the dimensional reduction may occur. In this study, an object-based evolutionary algorithm for rectangular piece nesting problems is proposed. This methodology is created on truly two-dimensional space, allowing new mechanisms (i.e., individual representation, initialization, etc.) and new object-based genetic operators (i.e., hill-climbing, mutation, and recombination operators) to perform effectively …
Derivation Of Fuzzy Membership Functions Using One-Dimensional Self-Organizing Maps, Thomas E. Sandidge, Cihan H. Dagli
Derivation Of Fuzzy Membership Functions Using One-Dimensional Self-Organizing Maps, Thomas E. Sandidge, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper discusses a system of self-organizing maps that approximate the fuzzy membership function for an arbitrary number of fuzzy classes. This is done through the ordering and clustering properties of one-dimensional self-organizing maps and iterative approximation of conditional probabilities of nodes in one map being the winner given that a node in the other map is the winner. Application of this system reduces fuzzy membership design time to that required to train the system of self-organizing maps.
Applying Informal Cooperative Learning Groups Techniques In The Classroom, Susan L. Murray
Applying Informal Cooperative Learning Groups Techniques In The Classroom, Susan L. Murray
Engineering Management and Systems Engineering Faculty Research & Creative Works
The application of informal cooperative learning (CL) groups techniques in the courses including operation research, and computer simulation, is discussed. The informal CL activities can be accomplished in small groups consisting of two or three students. It increases student participation and revitalizing passive lecturers. Students work example problems or homework problems in groups.
Stock Market Prediction Using Different Neural Network Classification Architectures, Karsten Schierholt, Cihan H. Dagli
Stock Market Prediction Using Different Neural Network Classification Architectures, Karsten Schierholt, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
In recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks, or stock markets. The Standard and Poors 500 Index is modeled using different neural network classification architectures. Most previous experiments used multilayer perceptrons for stock market forecasting. A multilayer perceptron architecture and a probabilistic neural network are used to predict the incline, decline, or steadiness of the index. The results of trading with the advice given by the network is then compared with the maximum possible performance and the performance of the index. Results show that both networks can be trained to perform better …
Work Measurement Decision Diagram Development And Application At Nasa's Kennedy Space Center, Susan L. Murray, Amanda M. Mitskevich, Joseph J. Pignatiello Jr., Timothy S. Barth, William W. Swart
Work Measurement Decision Diagram Development And Application At Nasa's Kennedy Space Center, Susan L. Murray, Amanda M. Mitskevich, Joseph J. Pignatiello Jr., Timothy S. Barth, William W. Swart
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents a decision flow diagram developed at NASA's Kennedy Space Center for the selection of the appropriate work measurement methodologies for Space Shuttle processing.
A Hierarchial Neural Network Implementation For Forecasting, B. Fulkerson, M. A. Ozbayoglu, Cihan H. Dagli
A Hierarchial Neural Network Implementation For Forecasting, B. Fulkerson, M. A. Ozbayoglu, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
In this paper, a hierarchical neural network architecture for forecasting time series is presented. The architecture is composed of two hierarchical levels using a maximum likelihood competitive learning algorithm. The first level of the system has three experts each using backpropagation and a gating network to partition the input space in order to map the input vectors to the output vectors. The second level of the hierarchical network has an expert using fuzzy ART for producing the correct trend coming from the first level. The experiments show that the resulting network is capable of forecasting the changes in the input …
A Comparison Of Fam And Cmac For Nonlinear Control, Arit Thammano, Cihan H. Dagli
A Comparison Of Fam And Cmac For Nonlinear Control, Arit Thammano, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
This article compares a neural network-based controller, both local and global networks, with fuzzy associative memories (FAM) on a nonlinear problem. CMAC and FAM are chosen as representatives of local generalization networks. CMAC controller is trained off-line, therefore, it can response to the incoming input immediately. CMAC can interpolate its memory and give a reasonable control signal even the input has not been trained on. Backpropagation is picked as a representative of global generalization networks. All three systems are studied on a simple simulated control problem. This preliminary research will be adapted later to control the laser cutting machine. A …
The Integration Of Simulation And Reality For Education Enhancement And Training, Clarence Rasquinha, Stephen A. Raper
The Integration Of Simulation And Reality For Education Enhancement And Training, Clarence Rasquinha, Stephen A. Raper
Engineering Management and Systems Engineering Faculty Research & Creative Works
Quite often, when engineers are exposed to a manufacturing environment on the job for the first time, they undergo a baptism by fire. The environment forces them to deal with situations that integrate many different bodies of knowledge. Reliance on concepts acquired in the academic environment is crucial to their success. Unfortunately, lacking in most academic environments, is any experience through which some or all of these concepts are integrated. In a continuing effort to enhance educational practices in Manufucturing/Systems Engineering programs and perhaps improve the preparedness of a young engineer, the CITE (Computer Integrated Technological Enterprise) tool offers educators …
Decision-Support Tools For Transferring Am/Fm/Gis To Small Communities, Steven W. Mccrary, Colin Othniel Benjamin, Peter J. Schmidt
Decision-Support Tools For Transferring Am/Fm/Gis To Small Communities, Steven W. Mccrary, Colin Othniel Benjamin, Peter J. Schmidt
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper examines several decision-support tools for transferring AM/FM/GIS technology to small communities. The term Computer-Assisted Spatial Information Systems (CASIS) provides a basis for a systematic categorization and definition of AM/FM/GIS systems that will serve to enhance small communities' understanding of these technologies for future decisions. The acronym CASIS includes such areas as database-management systems, automated mapping/facilities management/geographic information systems (AM/FM/GIS), and computer-aided drafting (CAD). Further, this paper reports the highlights of a survey that assesses the theory-practice gap in AM/FM/GIS usage among very small local government agencies. The survey uncovered an existing theory-practice gap: A, slow rate of system …
Computer Networking For Operation Management And Optimization In Power Utility Industry, Ali K. Kamrani, Kamran K. Kamrani
Computer Networking For Operation Management And Optimization In Power Utility Industry, Ali K. Kamrani, Kamran K. Kamrani
Engineering Management and Systems Engineering Faculty Research & Creative Works
The connectivity, flexibility, and real time control capability of computer systems have led electric utility companies to consider the use of computers and telecommunication networks. The application of such an environment includes data acquisition, supervisory control, operation optimization, and data management. This paper presents the layout of a computer system network for an electric power utility.
A Methodology For Customer Requirements Generation In Communication Systems Planning, Negaa Albegami, Yildirim Omurtag
A Methodology For Customer Requirements Generation In Communication Systems Planning, Negaa Albegami, Yildirim Omurtag
Engineering Management and Systems Engineering Faculty Research & Creative Works
In electronic communication systems it is nearly impossible to keep up with changing technology. This problem is further aggregated in the developing countries where the contractor (probably a western company) is expected to develop the system from the ground up. A basic problem which confronts this approach is either: 1) The customer will start adding or rejecting some of the capabilities, or 2) The local operation will never use some of the capabilities. Both of these outcomes are costly in terms of time and resources available to a developing country. This paper describes a new methodology for requirements generation to …
Application Of Total Quality Management To Research And Development: An Historical Perspective, Scott A. Dellana, Henry Allen Wiebe
Application Of Total Quality Management To Research And Development: An Historical Perspective, Scott A. Dellana, Henry Allen Wiebe
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper discusses the historical applications of Total Quality Management (TQM) to Research and Development (R&D). Research aimed at establishing an effective model for the application of TQM philosophies and tools to the R&D environment must start from this historical perspective. The emphasis of this paper is on the relationship of quality tools and techniques to the application of TQM in R&D, providing the foundation for further model development. The scope and definition of R&D is presented and is followed by an overview of the TQM philosophy and its associated tools and techniques. Special attention is given to defining performance …
Educating Engineers To Manage Technology: An International Comparison, Daniel L. Babcock, Brian E. Lloyd
Educating Engineers To Manage Technology: An International Comparison, Daniel L. Babcock, Brian E. Lloyd
Engineering Management and Systems Engineering Faculty Research & Creative Works
Two countries, the United States and Australia, are compared in terms of: (1) the historical growth of their engineering professions; (2) the structure of their engineering professional organizations; (3) the prevalence of engineers in management positions; and (4 the education of their engineers for management responsibilities.
The Management Of Change: A Case Study, Stephen A. Raper, Richard Neal Callahan
The Management Of Change: A Case Study, Stephen A. Raper, Richard Neal Callahan
Engineering Management and Systems Engineering Faculty Research & Creative Works
A literature review was conducted to identify some of the requirements for competitiveness and change that are being promoted by leaders in the manufacturing field. A survey was developed based on the literature review and was subsequently administered, via the case study method, at a midwestern US agricultural chemicals firm to determine the company's degree of compliance with the literature''s recommendations. To a large degree, the company complied with the requirements.
Integrated Neural Network And Machine Vision Approach For Intelligent State Identification, Cihan H. Dagli, Timothy Andrew Bauer
Integrated Neural Network And Machine Vision Approach For Intelligent State Identification, Cihan H. Dagli, Timothy Andrew Bauer
Engineering Management and Systems Engineering Faculty Research & Creative Works
An interfacing of neural networks (NNs) and machine vision to provide the next state of a system given an image of the present state of the system is presented. This interfacing is applied to a loading operation. First, a NN is trained for part recognition under conditions of rotation, location, object distortion, and background noise given an image of the part. Then, a second NN, given the output of the first NN and an image of a pallet being loaded, is trained for optimal part loading onto the pallet under conditions of noise in the image. The paradigm used is …
A Technological Development Model For Strategy Formation, Halvard E. Nystrom
A Technological Development Model For Strategy Formation, Halvard E. Nystrom
Engineering Management and Systems Engineering Faculty Research & Creative Works
Summary form only given, as follows. The author presents a technological development model for product and company development based on a distinction between explicit and implicit technologies. Implicit technologies are evolving technologies while explicit technologies are established technologies. Based on empirical data from Swedish companies, a number of strategic dimensions are discussed such as network interaction and combining knowledge from various sources. These concepts are then used to present an integrated model of strategy formation and product and company development. It is argued that this view of technological development facilitates the understanding and analysis of innovation and entrepreneurship in highly …
An Empirical Analysis Of Backpropagation Error Surface Initiation For Injection Molding Process Control, Alice E. Smith, Elaine R. Raterman, Cihan H. Dagli
An Empirical Analysis Of Backpropagation Error Surface Initiation For Injection Molding Process Control, Alice E. Smith, Elaine R. Raterman, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Backpropagation neural networks are trained by adjusting initially random interconnecting weights according to the steepest local error surface gradient. The authors examine the practical implications of the arbitrary starting point on the error landscape of the ensuing trained network. The effects on network convergence and performance are tested empirically, varying parameters such as network size, training rate, transfer function and data representation. The data used are live process control data from an injection molding plant