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Search Results: 1 - 10 of 232694 matches for " Patrick R. McMullen "
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Limited Re-Sequencing for Mixed-Models with Multiple Objectives, Part II: A Permutation Approach  [PDF]
Patrick R. McMullen
American Journal of Operations Research (AJOR) , 2012, DOI: 10.4236/ajor.2012.21002
Abstract: This research presents an approach to solving the limited re-sequencing problem for a JIT system when two objectives are considered for multiple processes. One objective is to minimize the number of setups; the other is to minimize the material usage rate [1]. For this research effort, each unique permutation of the problem’s demand structure is noted, and used as a mechanism for finding subsequent sequences. Two variants of this permutation approach are used: one employs a Monte-Carlo simulation, while the other employs a modification of Ant-Colony Optimization to find sequences satisfying the objectives of interest. Problem sets from the literature are used for assessment, and experimentation shows that the methodology presented here outperforms methodology from an earlier research effort [3].
Limited Resequencing for Mixed Models with Multiple Objectives  [PDF]
Patrick R. McMullen
American Journal of Operations Research (AJOR) , 2011, DOI: 10.4236/ajor.2011.14025
Abstract: This research presents a problem relevant to production scheduling for mixed models – production schedules that contain several unique items, but each unique item may have multiple units that require processing. The presented research details a variant of this problem where, over multiple processes, resequencing is permitted to a small degree so as to exploit efficiencies with the intent of optimizing the objectives of required set-ups and parts usage rate via an efficient frontier. The problem is combinatorial in nature. Enumeration is used on a variety of test problems from the literature, and a search heuristic is used to compare optimal solutions with heuristic based solutions. Experimentation shows that the heuristic solutions approach optimality, but with opportunities for improvement.
A Genetic Algorithm for Multiple Inspections with Multiple Objectives  [PDF]
Patrick R. McMullen
American Journal of Operations Research (AJOR) , 2013, DOI: 10.4236/ajor.2013.36045
Abstract:  This research presents a genetic algorithm to address the problem where multiple inspections are done to test conformity of multiple product characteristics. The genetic algorithm is employed to find an inspection plan where the multiple inspections are carried out, motivated to optimize two objectives: minimization of the total cost associated with the inspection; and maximization of probability of accepting conforming units. The genetic algorithm includes a constraint to induce variety into the characteristics being tested, so that the inspections are not dominated by “specialized” product characteristics. The resulting solutions are compared to optimal solutions, and it is determined that formidable solutions are found via the Genetic Algorithm approach.
JIT Mixed-Model Sequencing Rules: Is There a Best One?  [PDF]
Patrick R. McMullen
American Journal of Operations Research (AJOR) , 2015, DOI: 10.4236/ajor.2015.51002
Abstract: This research effort compares four sequencing rules intended to smooth production scheduling for mixed-model production systems in a Just-in-Time/Lean manufacturing environment (“JIT” hereafter). Each rule intends to schedule mixed-model production in such a way that manufacturing flexibility is optimized in terms of system utilization, units completed, average in-process inventory, average queue length, and average waiting time. A simulation experiment, where the various sequencing rules are tested against each other in terms of the above production measures, shows that three of the sequencing rules essentially offer the same performance, whereas one of them shows more variation.
Using Baseball Data as a Gentle Introduction to Teaching Linear Regression  [PDF]
Patrick R. McMullen
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.614148
Abstract: This effort describes a successful classroom exercise to introduce simple and multiple linear regression to working professional MBA students. The exercise starts by exploring the relationship between a baseball team’s payroll with its winning percentage. The exercise then continues with the introduction of additional predictor variables so that the students are able to build a strong predictive model for winning percentage. Student feedback consistently praises the exercise as an effective way to learn about linear regression.
Ant-Colony Optimization for the System Reliability Problem with Quantity Discounts  [PDF]
Patrick R. McMullen
American Journal of Operations Research (AJOR) , 2017, DOI: 10.4236/ajor.2017.72007
Abstract: This research presents an approach based upon ant-colony optimization to address the system reliability problem. For each component of a system, the number of units in parallel needs to be chosen to maximize the reliability for the entire system. As more parallel units are selected, costs increase in a proportional fashion. For this effort, quantity discounts for additional parallel units are considered, and the budget for purchase of parallel units is limited. Ant colony optimization methodology is employed to find an optimal system reliability that satisfies the budget constraint. The methodology is employed for several test problems, and near-optimal solutions are found.
Group Foraging in Dynamic Environments
Michael E. Roberts,Sam Cheesman,Patrick McMullen
Computer Science , 2012,
Abstract: Previous human foraging experiments have shown that human groups routinely undermatch environmental resources much like other animal species. In this experiment, we test whether humans also selectively rely on others as information sources when the environmental state is uncertain, and we also test whether overt signals of other foragers' success influences group matching behavior and group adaptation to a changing environment. The results show evidence of reliance on social information in specific conditions, but participants were primarily influenced by their individual assessments of food location rather than the success of other foragers.
Distinct Genetic Architectures for Male and Female Inflorescence Traits of Maize
Patrick J. Brown ,Narasimham Upadyayula,Gregory S. Mahone,Feng Tian,Peter J. Bradbury,Sean Myles,James B. Holland,Sherry Flint-Garcia,Michael D. McMullen,Edward S. Buckler,Torbert R. Rocheford
PLOS Genetics , 2011, DOI: 10.1371/journal.pgen.1002383
Abstract: We compared the genetic architecture of thirteen maize morphological traits in a large population of recombinant inbred lines. Four traits from the male inflorescence (tassel) and three traits from the female inflorescence (ear) were measured and studied using linkage and genome-wide association analyses and compared to three flowering and three leaf traits previously studied in the same population. Inflorescence loci have larger effects than flowering and leaf loci, and ear effects are larger than tassel effects. Ear trait models also have lower predictive ability than tassel, flowering, or leaf trait models. Pleiotropic loci were identified that control elongation of ear and tassel, consistent with their common developmental origin. For these pleiotropic loci, the ear effects are larger than tassel effects even though the same causal polymorphisms are likely involved. This implies that the observed differences in genetic architecture are not due to distinct features of the underlying polymorphisms. Our results support the hypothesis that genetic architecture is a function of trait stability over evolutionary time, since the traits that changed most during the relatively recent domestication of maize have the largest effects.
Lipopolysaccharide-mediated signal transduction: Stabilization of TNF-alpha mRNA contributes to increased lipopolysaccharide-stimulated TNF-alpha production by Kupffer cells after chronic ethanol feeding
Kishore Raj,McMullen Megan R,Cocuzzi Enzo,Nagy Laura E
Comparative Hepatology , 2004, DOI: 10.1186/1476-5926-2-s1-s31
Abstract:
Religion and Violence: An Encyclopedia of Faith and Conflict from Antiquity to the Present
Kenneth McMullen
Theological Librarianship , 2012,
Abstract:
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