Proceedings of the the 3rd Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2019, 16 November 2019, Universitas Negeri Medan, North Sumatra, Indonesia

Research Article

Production Flow Optimization By Using Theory of Constraints

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  • @INPROCEEDINGS{10.4108/eai.16-11-2019.2293240,
        author={Hasianna Nopina Situmorang and Nazaruddin  Matondang},
        title={Production Flow Optimization By Using Theory of Constraints},
        proceedings={Proceedings of the the 3rd Annual Conference of Engineering and Implementation on Vocational Education,  ACEIVE 2019,  16 November 2019, Universitas Negeri Medan, North Sumatra, Indonesia},
        publisher={EAI},
        proceedings_a={ACEIVE},
        year={2020},
        month={3},
        keywords={bottleneck; theory of constraints; master production schedule;},
        doi={10.4108/eai.16-11-2019.2293240}
    }
    
  • Hasianna Nopina Situmorang
    Nazaruddin Matondang
    Year: 2020
    Production Flow Optimization By Using Theory of Constraints
    ACEIVE
    EAI
    DOI: 10.4108/eai.16-11-2019.2293240
Hasianna Nopina Situmorang1,*, Nazaruddin Matondang2
  • 1: Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Medan
  • 2: Department of Industrial Engineering, Faculty of Engineering, Universitas Sumatera Utara
*Contact email: hasiannanopina@unimed.ac.id

Abstract

The use of Theory of Constraints (ToC) is very necessary in overcoming problems in the production automation system in the industry. This research aims to overcome the rate of instant noodle production automatically in the factory. The study was conducted in a national company that produces instant noodles at Tanjung Morawa, North Sumatera, Indonesia. The experience of constraints of bottlenecks were observed at mixing station and cooking station caused by the different capacities between the work stations. This research uses the principle of continuous improvement. A linear programming method is used to optimize master production schedule (MPS) and determine the maximum throughput. The results showed that applying the theory of constraint in the flow rate can solve the problems in the production of instant noodle in the factory. The ToC eliminate the constraints on the bottleneck work stations so that the overall production flow can run effectively and efficiently. After optimal MPS results has been known, rough-cut capacity planning (RCCP) revisions are calculated and the results showed that the bottleneck work stations have become non-bottleneck work stations, and the maximum throughput has been achieved.