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A novel tension-member follower train for a generic cam-driven mechanismLaPierre, Jeffrey A. January 2008 (has links)
Thesis (M.S.)--Worcester Polytechnic Institute. / Keywords: Cam; Tension-Member; Cam Follower; Metal Tape; Metal Belt. Includes bibliographical references (leaves 79-80).
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A computerized methodology for balancing and sequencing mixed model stochastic assembly lines /Pantouvanos, John P., January 1992 (has links)
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 63-66). Also available via the Internet.
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A graph-theoretic framework for integrated assembly planning /Naphade, Kedar S. January 1997 (has links)
Thesis (Ph. D.)--Lehigh University, 1997. / Includes vita. Bibliography: leaves 109-114.
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Design and implementation of an automated flexible assembly cell for research purposesMueller, Nei Edison 23 December 2009 (has links)
Master of Science
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A computerized search methodology for the design of mixed model assembly systemsSmith, Pieter R. 16 February 2010 (has links)
Master of Engineering
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An information approach to parts matingSimunoviÄ SimunoviÄ , Sergio Natalio January 1979 (has links)
Thesis. 1979. Sc.D.--Massachusetts Institute of Technology. Dept. of Mechanical Engineering. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by Sergio N. SimunoviÄ S. / Sc.D.
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Defect size, angular velocity, static and dynamic display and inspection performanceOu, Peggy J January 2011 (has links)
Digitized by Kansas Correctional Industries
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Integrated methodology for board assignment and component allocation in printed circuit board assemblyNeammanee, Patcharaporn 20 September 2001 (has links)
The purpose of this research is to develop an approach to minimize
makespan for assigning boards to production lines. Because of sequence-dependent
setup issue, board assignment and component allocation have to be performed
concurrently. An integrated methodology is proposed to obtain a solution of the
two problems. The methodology consists of seven phases: PCB grouping, family
decomposition, subfamily sequencing, Keep Tool Needed Soonest (KTNS),
component setup determination, component allocation, and board assignment.
PCB grouping based on component similarity between boards is used to
reduce the problem size. Family decomposition is used when total number of feeder
slots required by a family exceeds feeder capacity. Subfamily sequencing and Keep
Tool Needed Soonest are applied to minimize the number of component setups.
Classification of setup components into standard, semi-standard, and custom setup
components is performed to reduce the complexity of the component allocation
problem. A component allocation algorithm is developed to balance workload
across machines. Assigning board families to production lines is performed using a
modification of Longest Processing Time (LPT) rule. Assigning entire PCB
families to production lines to minimize makespan is difficult to accomplish since
the amount of production time for each family is very large compared to that of
individual PCB lot. Splitting some subfamilies is allowed as long as this does not
increase makespan. The PCB grouping, family decomposition, subfamily
sequencing, Keep Tool Needed Soonest (KTNS), and component setup
determination procedures are derived from published research results. The
component allocation and board assignment are developed in this research, as well
as an overall methodology to integrate the entire problem.
Data provided by published literature are employed to evaluate performance
of the component allocation algorithm and the integrated methodology. To examine
the applicability of the methodology, an industrial data is used with the total
imbalance due to setup time and placement time of individual PCB and global
makespan as the performance measures. Experimentation is conducted with
simulated data based on an industry data to investigate impact of threshold value,
feeder capacity, and characteristics of data sets on system performance. / Graduation date: 2002
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Monitoring and diagnosis of a multi-stage manufacturing process using Bayesian networksWolbrecht, Eric T. 25 June 1998 (has links)
This thesis describes the application of Bayesian networks for monitoring and
diagnosis of a multi-stage manufacturing process, specifically a high speed production
part at Hewlett Packard. Bayesian network "part models" were designed to represent
individual parts in-process. These were combined to form a "process model", which is a
Bayesian network model of the entire manufacturing process. An efficient procedure is
designed for managing the "process network". Simulated data is used to test the validity
of diagnosis made from this method. In addition, a critical analysis of this method is
given, including computation speed concerns, accuracy of results, and ease of
implementation. Finally, a discussion on future research in the area is given. / Graduation date: 1999
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Analytic methods for calculating performance measures of production lines with buffer storagesJanuary 1978 (has links)
S.B. Gershwin, I.C. Schick. / "October, 1978." Caption title. / Bibliography: leaf 6. / Supported by the National Science Foundation under Grant no. NSF/RANN APR76-12036
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