Dynamic flexible job shop scheduling under stochasticdemand
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Abstract (EN)
The main goal of this thesis study is to devise an easy-to-use but effective shop floor control system to prevent capacity losses due to line stoppages, job queues and overproduction of parts. The thesis offers to use a dynamic scheduling approach responsive to stochastic demands as working under a pull type system using instant update of inventory levels. An event-based algorithmic approach is proposed for dynamic scheduling. Consisting of a three step sorting and sequencing procedure that considers orders, inventories, Earliest Due Date (EDD) and Shortest Process Time (SPT).
Author
Ümit Eraydın Genç
How to Cite
Ümit Eraydın Genç (Master Thesis). Dynamic flexible job shop scheduling under stochasticdemand, 2019, Bursa Uludağ Üni̇versi̇ty.
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