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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Keyword
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- Adaptive systems (1)
- Algorithms (1)
- Assemblies (1)
- Assembly (1)
- Axiom set (1)
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- Data mining (1)
- Decision trees (1)
- Doubly truncated (1)
- Engineering management (1)
- Heuristic (1)
- Iterative methods (1)
- Manufacturing (1)
- Meta-RaPS (1)
- Metaheuristics (1)
- Standard normal distribution (1)
- Supervised learning (1)
- Systems propositions (1)
- Systems theory (1)
- Truncated (1)
- Vehicle routing problem (1)
Articles 1 - 3 of 3
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Systems Theory As The Foundation For Understanding Systems, Kevin Macg. Adams, Peggy T. Hester, Joseph M. Bradley, Thomas J. Meyers, Charles B. Keating
Systems Theory As The Foundation For Understanding Systems, Kevin Macg. Adams, Peggy T. Hester, Joseph M. Bradley, Thomas J. Meyers, Charles B. Keating
Engineering Management & Systems Engineering Faculty Publications
As currently used, systems theory is lacking a universally agreed upon definition. The purpose of this paper is to offer a resolution by articulating a formal definition of systems theory. This definition is presented as a unified group of specific propositions which are brought together by way of an axiom set to form a system construct: systems theory. This construct affords systems practitioners and theoreticians with a prescriptive set of axioms by which a system must operate; conversely, any set of entities identified as a system may be characterized by this set of axioms. Given its multidisciplinary theoretical foundation and …
Data Mining Based Hybridization Of Meta-Raps, Fatemah Al-Duoli, Ghaith Rabadi
Data Mining Based Hybridization Of Meta-Raps, Fatemah Al-Duoli, Ghaith Rabadi
Engineering Management & Systems Engineering Faculty Publications
Though metaheuristics have been frequently employed to improve the performance of data mining algorithms, the opposite is not true. This paper discusses the process of employing a data mining algorithm to improve the performance of a metaheuristic algorithm. The targeted algorithms to be hybridized are the Meta-heuristic for Randomized Priority Search (Meta-RaPS) and an algorithm used to create an Inductive Decision Tree. This hybridization focuses on using a decision tree to perform on-line tuning of the parameters in Meta-RaPS. The process makes use of the information collected during the iterative construction and improvement phases Meta-RaPS performs. The data mining algorithm …
A Heuristic For The Analysis Of Truncated Standard Normal Distribution Assemblies, John Walter Ralls, Cesar Ariel Pinto, Shannon R. Bowling, Resit Unal, Charles B. Daniels, S. Long (Ed.), E.H. Ng (Ed.), C. Downing (Ed.)
A Heuristic For The Analysis Of Truncated Standard Normal Distribution Assemblies, John Walter Ralls, Cesar Ariel Pinto, Shannon R. Bowling, Resit Unal, Charles B. Daniels, S. Long (Ed.), E.H. Ng (Ed.), C. Downing (Ed.)
Engineering Management & Systems Engineering Faculty Publications
The analysis of data sets and process conditions commonly assume the use of standard normal distributions and truncated standard normal distributions (TSND). The use of these distributions has application to various engineering disciplines along with numerous other industries (e.g., financial industries, medical fields, management, etc.). For engineering managers, the use of truncated standard normal distributions has particular relevance when evaluating process conditions commonly associated with assembly tolerances, manufacturing, and associated measures of quality. This article summarizes a heuristic approach for the analysis of assembly-level truncated standard normal distributions and associated research from a recent dissertation (Ralls, 2014). This article provides …