No description available.

No description available.

No description available.

Graduation date: 1970

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

Thesis (M.S.)--Ohio University, August, 1988. / Title from PDF t.p.

Thesis (M.S.)--Ohio University, November, 1988. / Title from PDF t.p.

Thesis (Ph. D.)--Ohio State University, 1987. / Includes vita. Includes bibliographical references (leaves 237-250). Available online via OhioLINK's ETD Center.

Thesis (M.S.)--Ohio University, August, 1989. / Title from PDF t.p.

Thesis (M.S.)--Ohio University, August, 1991. / Title from PDF t.p.