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IMPROVING SCHEDULING OF PLASTIC TRAY PRODUCTION USING CAMPBELL, DUDEK, AND SMITH (CDS) AND NAWAZ, ENSCORE AND HAM (NEH) ALGORITHM AT PLASTIC MANUFACTURING

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dc.contributor.author Maharani, Ciwambha Aura Utopia
dc.date.accessioned 2022-08-15T04:48:09Z
dc.date.available 2022-08-15T04:48:09Z
dc.date.issued 2021
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/9209
dc.description.abstract In production operations, scheduling is needed to optimize several jobs in sequence machines. The scheduling method used in plastic manufacturing is EDD (Earliest Due Date) that cause the company's target of daily production and scheduling was not achieved. This research objective is to improve in the production scheduling methods to minimize makespan in order to achieve production targets. Algorithm of NEH (Nawaz, Enscore, and Ham) and CDS (Campbell, Dudek, and Smith) for jobs with different arrival time is implemented to find optimal solutions in production scheduling. The comparison results with the EDD method, the NEH algorithm can reduce makespan from 34 days to 8 days, which reduces about 76.47%. Meanwhile, the CDS algorithm can reduce makespan by 11.76%, from 34 days to 30 days. The CDS algorithm considering the arrival time of each job so, this method is used to improve production scheduling at PT. FDN. In addition, changing the cutting process to using a trim machine can reduce cycle time by 61.11% from 28.8 seconds/unit to 11.12 seconds/unit. en_US
dc.language.iso en_US en_US
dc.publisher PRESIDENT UNIVERSITY en_US
dc.relation.ispartofseries Industrial Engineering;004201700019
dc.subject Flow Shop Scheduling en_US
dc.subject Earliest Due Date en_US
dc.subject NEH (Nawaz, Enscore, and Ham) Algorithm en_US
dc.subject CDS (Campbell, Dudek, and Smith) Algorithm en_US
dc.subject Makespan en_US
dc.subject Bottlenecks en_US
dc.title IMPROVING SCHEDULING OF PLASTIC TRAY PRODUCTION USING CAMPBELL, DUDEK, AND SMITH (CDS) AND NAWAZ, ENSCORE AND HAM (NEH) ALGORITHM AT PLASTIC MANUFACTURING en_US
dc.type Thesis en_US


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