Browsing Theses and Dissertations - Department of Information Systems, Statistics & Management Science by Title

Browsing Theses and Dissertations - Department of Information Systems, Statistics & Management Science by Title

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  • Zhi, Jianing (University of Alabama Libraries, 2016)
    This dissertation reports on three integrated supply chain problems that incorporate several key components of modern supply chains, including location, transportation, inventory, and customer selection. The first part of ...
  • Thompson, Samuel Charles (University of Alabama Libraries, 2013)
    Researchers studying the role of privacy perceptions in Location-Based Services (LBS) have primarily focused on information disclosure decisions at the individual transaction level, weighing the benefits of LBS against the ...
  • Mirghorbani, Seyedeh Saeideh (University of Alabama Libraries, 2018)
    Inefficient resource allocation and planning, expensive treatment costs, and low patient adherence to medication plans lead to undesired health outcomes in patients with chronic diseases. Operation research and stochastic ...
  • Sasamoto, Mark Makoto (University of Alabama Libraries, 2010)
    Tree structured modeling is a data mining technique used to recursively partition a data set into relatively homogeneous subgroups in order to make more accurate predictions on future observations. One of the earliest ...
  • Dogru, Ali Kemal (University of Alabama Libraries, 2018)
    Naive clinical capacity planning, myopic appointment scheduling techniques, and unavoidable appointment interruptions lead to excessive patient waiting time, physician idle time and overtime, which result in inefficient ...
  • Choi, Hwanseok (University of Alabama Libraries, 2010)
    Clustering multivariate time series data has been a challenging task for researchers since data has multiple dimensions to consider such as auto-correlations and cross-correlations whereas multivariate time series data has ...
  • Ishfaq, Rafay (University of Alabama Libraries, 2010)
    This research is motivated by the extraordinary increase in the use of intermodal shipments in recent years for both domestic and global movement of freight. Three mathematical models, which explore the dynamics of intermodal ...
  • Fontem, Belleh (University of Alabama Libraries, 2014)
    The standard approach to mathematical optimization is to construct models which assume 1) perfect knowledge of the algebraic form of the optimizable function, and 2) that the problem parameters are not subject to external ...
  • Freeman, Nickolas Kirk (University of Alabama Libraries, 2014)
    The presence of uncertainty complicates planning decisions in all industries and sectors. In an operations context, failure to acknowledge and incorporate the unknowns in the decision-making process may lead to undesirable ...
  • Melnykov, Yana (University of Alabama Libraries, 2017)
    There are numerous areas of human activities where various processes are observed over time. If the conditions of the process change, it can be reflected through the shift in observed response values. The detection and ...
  • Mercado Velasco, Gary Ricardo (University of Alabama Libraries, 2012)
    Parametric control charts are very attractive and have been used in the industry for a very long time. However, in many applications the underlying process distribution is not known sufficiently to assume a specific ...
  • Michaelson, Gregory Vincent (University of Alabama Libraries, 2010)
    Determining the structure of large and complex networks is a problem that has stirred great interest in many fields including mathematics, computer science, sociology, biomedical research, and epidemiology. Despite this ...
  • Sarkar, Shuchismita (University of Alabama Libraries, 2019)
    The objective of cluster analysis is to find distinct groups of similar observations. There are many algorithms in literature that can perform this task and among them model based clustering is one of the most flexible ...
  • Capar, Ibrahim (University of Alabama Libraries, 2016)
    Traditional optimization models, whether classified as deterministic or stochastic, require problem related parameters to be known with certainty or according to a probability distribution. However, in many real life ...
  • Walker, Michael (University of Alabama Libraries, 2015)
    Initially motivated by electron microscopy experiments, we develop an approximate prediction interval on the univariate response variable Y, where it is assumed that a normal-theory linear model is fit using a transformed ...
  • Zheng, Rong (University of Alabama Libraries, 2017)
    In general, statistical methods have two categories: parametric and nonparametric. Parametric analysis is usually made based on information regarding the probability distribution of the random variable. While, nonparametric ...
  • Woolridge, Richard William (University of Alabama Libraries, 2010)
    Application and project domain specifications are an important aspect of Information Systems (IS) development. Observations of over thirty IS projects suggest dimly perceived structural patterns in specifications that are ...
  • Cook, Robert A. (University of Alabama Libraries, 2018)
    After localized disasters, donations are sometimes collected at the same facility as they are distributed, and the damaged infrastructure is overwhelmed by the congestion. However, separating the donation facilities from ...
  • Firouz, Mohammad Firouz (University of Alabama Libraries, 2016)
    This dissertation focuses on two contributions in supply chain management when there is a risk of disruptions. The first contribution investigates the supply chain network design of a consumable product with risks imposed ...
  • Zhu, Xuwen (University of Alabama Libraries, 2016)
    Cluster analysis performs unsupervised partition of heterogeneous data. It has applications in almost all fields of study. Model-based clustering is one of the most popular clustering methods these days due to its flexibility ...

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