Production Scheduling
Course Project
The course project can be done either individually, or in a group of
two people.
Here are some suggestions for the course project.
- Report on the real scheduling issues faced by a particular
company, organization, or industry.
- Identify a particular scheduling problem faced by a company or
organization, and report on the methods used to solve that problem.
- Identify a particular scheduling problem faced by a company or
organization, and propose your own solution to that scheduling
problem. Compare your solution to the current solution.
- Pick a scheduling problem studied in class, and perform
computational experiments. For example, you could compare two
solution methods for the same problem, or see how different types of
data lead to different types of solutions.
- Pick an NP-hard scheduling problem studied in class and evaluate
different solution methods, comparing time vs. quality of solution.
- Pick a scheduling problem not studied in class, propose a
solution, and perform either a computational or analytical evaluation
of your solutions.
- Read research paper(s) on scheduling and report on what you
learned.
- Attempt to solve an open problem in scheduling and report on the
progress that you make.
Important Dates
- Proposal due March 6.
- Presentation on April 29 or May 1.
- Written report due on May 6.
Presentation
Your presentation should be projected using the computer, or on overhead
transparencies. In the interests of time, writing on the blackboard should
be mininized. Presentations should take no more than 10 minutes.
Schedule
Tuesday, 4/29
- 9:15 - Kuo and Pascu
- 9:25 - Menendez
- 9:35 - Bao
- 9:45 - Vira
- 9:55 - Marina and Yamada
- 10:05 - Chung
- 10:15 - Schrader
- 10:25 - James
- 10:35 - Gupta
Thursday, 5/1
- 9:00 - Li and Ooi
- 9:10 - Guzman
- 9:20 - Finkelstein
- 9:30 - Murray
- 9:40 - Enriquez
- 9:50 - Buckman
- 10:00 - Su
- 10:10 - Francis
- 10:20 - Frencrich
- 10:30 - Wong
- 10:40 - Ebenstein
Written Report
The written report should be a 5-10 page paper describing your project. When
appropriate, data and/or computer code should be included. Remember to
include the question you intend to answer, the data you gathered, and your
conclusions. Reports will be graded on content, effort, and quality of
writing.
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