Jadida, Salsa Shauma (2020) Simulasi Penjadwalan Produksi Multi-Product, Multi-Stage, dan Multi-Machine dengan Pendekatan Pemodelan Discrete-Event. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penjadwalan produksi merupakan salah satu permasalahan utama pada industri manufaktur. Penjadwalan produksi penting untuk diperhatikan karena memiliki dampak pada banyak aspek dan dapat mempengaruhi kinerja sistem produksi. Objek amatan penelitian ini adalah produsen kemasan kosmetik berbahan plastik yang memiliki multi-product, multi-stage, dan multi-machine. Permasalahan yang ditemukan pada sistem produksi objek amatan yaitu terdapat banyak keterlambatan penyelesaian job dan flow time job melebihi 14 hari. Permasalahan muncul karena dispatching rules yang dipakai saat ini yaitu Earliest Due Date belum bisa meminimalkan job waiting time. Job waiting time berpengaruh terhadap ketepatan waktu penyelesaian job dan job flow time. Pada penelitian ini, penyelesaian permasalahan memakai pendekatan discrete-event simulation. Penggunaan discrete-event simulation karena ingin memodelkan sistem antrean pada lantai produksi objek amatan. Tahapan yang dilakukan adalah membuat model konseptual, membuat model simulasi, verifikasi dan validasi model, pembuatan desain skenario, eksperimen model simulasi, dan analisis hasil eksperimen. Skenario simulasi yang dipilih adalah dispatching rules Shortest Processing Time (SPT), Job with Similar Setup and Shortest Processing Time (JSPT), dan Job with Similar Setup and Earliest Due Date (JEDD). Dari hasil perbandingan skenario didapatkan bahwa skenario terbaik adalah dispatching rules SPT dengan penurunan jumlah tardy job dari 13,85% menjadi 13,70% atau penurunan sebesar 1,08% dan penurunan mean flow time dari 150,62 jam menjadi 138,96 jam atau penurunan sebesar 7,74%. Maka dari itu dapat disimpulkan bahwa penelitian ini mampu mencapai tujuan yaitu membuat model simulasi untuk penjadwalan produksi yang mempertimbangkan variability dan interdependency dalam sistem, serta dapat meminimalkan jumlah tardy job dan mean flow time.
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Production scheduling is one of the main problems in the manufacturing industry. It is important to pay attention to the impact on many aspects and its effects on production system performance. The object of this research is a plastic cosmetic packaging manufacturer that has multi-product, multi-stage, and multi-machine. The main problem found in the observed object production system is that there are a lot of delays in completing jobs and the job flow time exceeds 14 days. The problem arises because the dispatching rules currently in use, namely Earliest Due Date, have not been able to minimize job waiting time. Job waiting time affects the timeliness of job completion and job flow time. This research focuses on utilizing discrete-event simulation approach for solving the problems. This approach is used to model the queue system on the production floor of the observed object. The steps taken are making conceptual models, making simulation models, verifying and validating models, making scenario designs, simulating experimental models, and analyzing experimental results. The simulation scenarios chosen are dispatching rules Shortest Processing Time (SPT), Job with Similar Setup and Shortest Processing Time (JSPT), and Job with Similar Setup and Earliest Due Date (JEDD). From the experiment, it is found that the best scenario is SPT dispatching rules, resulting in tardy jobs reduction from 13.85% to 13.70% (1.08% decrement) and mean flow time reduction from 150.62 hours to 138.96 hours (7.74% decrement). Therefore, it can be concluded that this study was able to achieve the goal of creating a simulation model for production scheduling that considers variability and interdependency in the system, and minimizing the number of tardy jobs and mean flow time.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | discrete-event simulation, penjadwalan produksi, dispatching rules, tardy job, mean flow time, discrete-event simulation, production scheduling, dispatching rules, tardy job, mean flow time |
| Subjects: | T Technology > T Technology (General) > T57.62 Simulation T Technology > TS Manufactures > TS157.5 Production scheduling |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Salsa Shauma Jadida |
| Date Deposited: | 26 Aug 2020 02:12 |
| Last Modified: | 19 Jul 2023 13:38 |
| URI: | http://repository.its.ac.id/id/eprint/81270 |
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