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Decomposition-based scheduling in flexible flow shops under uncertaintiesWang, Kai, 王恺 January 2010 (has links)
published_or_final_version / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy
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Critical arc strategies for the reentrant job shop scheduling problem with setupsZoghby, Jeriad Marcus 28 August 2008 (has links)
Not available / text
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Examination Scheduling with Days-off ConstraintsSetayesh, Azin 07 August 2012 (has links)
With an increase in the number of students and the number of courses offered by universities, examination scheduling based on the available facilities becomes much more complicated. At present, examinations must be appropriately scheduled not only based on the offered courses, but also with respect to the rooms’ capacities, available time-slots, days-off rules and other soft and hard constraints. From the Mathematical Programming point of view, timetabling and scheduling problems are somewhat related to Assignment problems, but have additional constraints that make them computationally challenging. Timetabling problems are NP-hard problems for which there is unlikely to be an economically viable method for finding the optimal solution. In our studies, we use Python interfaced with CPLEX as optimization software to find approximately optimal results for large problems in reasonable time.
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Examination Scheduling with Days-off ConstraintsSetayesh, Azin 07 August 2012 (has links)
With an increase in the number of students and the number of courses offered by universities, examination scheduling based on the available facilities becomes much more complicated. At present, examinations must be appropriately scheduled not only based on the offered courses, but also with respect to the rooms capacities, available time-slots, days-off rules and other soft and hard constraints. From the Mathematical Programming point of view, timetabling and scheduling problems are somewhat related to Assignment problems, but have additional constraints that make them computationally challenging. Timetabling problems are NP-hard problems for which there is unlikely to be an economically viable method for finding the optimal solution. In our studies, we use Python interfaced with CPLEX as optimization software to find approximately optimal results for large problems in reasonable time.
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User testing of an interactive project scheduling systemVillarreal-Ogushi, Jose Gerardo 08 1900 (has links)
No description available.
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Cyclic project schedulingHickman, David Russell 08 1900 (has links)
No description available.
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The routing and scheduling of a class of postal vehiclesHolmes, Robert Alan 05 1900 (has links)
No description available.
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One-machine generalized precedence constrained schedulingWikum, Erick 12 1900 (has links)
No description available.
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Cyclic scheduling with spacing constraintsBorsi, John Joseph 05 1900 (has links)
No description available.
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The man-machine task allocation problem with sequencing considerationsBulfin, Robert Lee 08 1900 (has links)
No description available.
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