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Operations Research, Systems Engineering and Industrial Engineering Commons™
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Articles 1 - 9 of 9
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
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.