Scheduling a continuous manufacturing flow shop environment with several
machines, stochastic arrival of demands, different product requirements and limited
resources is a complex task. This research develops a methodology for scheduling
products in glass fiber industry. The system consists of two components. An optimizing
linear program determines the optimal solution for a sub-problem that accounts for
safety stocks, demands, machine capacities, and due dates. The job queues from the LP
model are then sequenced based on 'earliest job due date' for machines that have two
or more jobs to be performed on the same time. This sequenced solution is then input
to a simulation model. The simulation model prioritizes the queue of jobs on each
machine so that minimum rate of change of throughput is achieved, while satisfying the
due dates. The model was validated for a major fiber galss manufacturer. The results
show that the use of an integrated optimizing and heuristic solution system provides
better results than current scheduling practice in terms of machine utilization,
deviations from target inventories, and on-time jobs. / Graduation date: 1994
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/36291 |
| Date | 12 October 1993 |
| Creators | Rai, Nivruti |
| Contributors | Randhawa, Sabah |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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