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Articles 1 - 7 of 7
Full-Text Articles in Business
Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick
Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick
Systems Science Faculty Publications and Presentations
This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …
Reconstructability Analysis: Discrete Multivariate Modeling, Martin Zwick
Reconstructability Analysis: Discrete Multivariate Modeling, Martin Zwick
Systems Science Faculty Publications and Presentations
An introduction to Reconstructability Analysis for the Discrete Multivariate Modeling course and for other purposes.
Using Reconstructability Analysis For Input Variable Reduction: A Business Example, Stephen Shervais, Martin Zwick
Using Reconstructability Analysis For Input Variable Reduction: A Business Example, Stephen Shervais, Martin Zwick
Systems Science Faculty Publications and Presentations
We demonstrate the use of reconstructability analysis (RA) on the UCI Australian Credit dataset to reduce the number of input variables for two different analysis tools. Using 14 variables, an artificial neural net (NN) is able to predict whether or not credit was granted, with a 79.1% success rate. RA preprocessing allows us to reduce the number of independent variables from 14 to two different sets of three, which have success rates of 77.2% and 76.9% respectively. The difference between these rates and that of the 14-variable NN is not statistically significant. The three-variable rulesets given by RA achieve success …
Is Lean Necessarily Green?, Kumar Venkat, Wayne Wakeland
Is Lean Necessarily Green?, Kumar Venkat, Wayne Wakeland
Systems Science Faculty Publications and Presentations
This paper investigates the environmental performance of lean supply chains using carbon dioxide emissions as the key performance indicator. Lean is based on the premise that compressing time reveals hidden quality problems and that their resolution leads to more efficient, cost-effective business processes. If time compression always implies lower emissions, then a leaner system is always greener as measured by emissions. If time compression does not always lead to lower emissions, then further changes to the lean system may be required in order to make it greener. We use a simulation model of a generic supply chain as well as …
An Agent-Based Model Of Trade With Distance-Based Transaction Cost, Kumar Venkat, Wayne W. Wakeland
An Agent-Based Model Of Trade With Distance-Based Transaction Cost, Kumar Venkat, Wayne W. Wakeland
Systems Science Faculty Publications and Presentations
This paper describes an application of agent-based modeling to investigate the effect of a distance-based transaction cost on trade. Long-distance trade is rapidly increasing, but may ultimately be constrained by our ability to move material goods between sellers and buyers. Unlike information exchange, trade in material goods is dependent on the price of oil and vulnerable to future scarcities of oil. In addition, there are growing concerns about greenhouse gas emissions from long-distance transportation. Our purpose in this study is to take the first step in understanding the impact of a distance constraint on free global trade using a simple …
Simulation As A Tool For Evaluating Strategic Policies For Flexible Supply Chain Systems, Janice L. Forrester, Wayne W. Wakeland
Simulation As A Tool For Evaluating Strategic Policies For Flexible Supply Chain Systems, Janice L. Forrester, Wayne W. Wakeland
Systems Science Faculty Publications and Presentations
The emergence of flexible supply chain systems (FSC) has sparked increased interest in real-time planning, scheduling, and logistics--with particular consideration for strategic implications and overall cost control. Important aspects of an FSC include forecasting, production, materials handling, transportation, and distribution center inventory. There exists a variety of software applications for addressing tactical issues, such as adaptive scheduling, and short term forecasting. However, these programs typically do not permit the user to assess the strategic implications of different policies for flexing capacity and making alternative commitments to manufacturing plants. Recently there has been increased interest in the use of simulation models …
An Information Theoretic Framework For Exploratory Multivariate Market Segmentation Research, Jamshid C. Hosseini, Robert R. Harmon, Martin Zwick
An Information Theoretic Framework For Exploratory Multivariate Market Segmentation Research, Jamshid C. Hosseini, Robert R. Harmon, Martin Zwick
Systems Science Faculty Publications and Presentations
State-of-the-art market segmentation often involves simultaneous consideration of multiple and overlapping variables. These variables are studied to assess their relationships, select a subset of variables which best represent the subgroups (segments) within a market, and determine the likelihood of membership of a given individual in a particular segment. Such information, obtained in the exploratory phase of a multivariate market segmentation study, leads to the construction of more parsimonious models. These models have less stringent data requirements while facilitating substantive evaluation to aid marketing managers in formulating more effective targeting and positioning strategies within different market segments. This paper utilizes the …