Integrasi Value Stream Mapping dengan Simulasi Kejadian Diskrit: Studi Kasus Lean Distribution

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Keywords: Lean Distribution, Pemetaan Rantai Nilai, Simulasi Kejadian Diskrit.

Abstract

Lonjakan permintaan produk pasca pandemi menyebabkan tidak tercapainya pemenuhan order sesuai dengan yang ditargetkan perusahaan. Berbagai upaya dilakukan PT X Indonesia untuk meningkatkan produktivitas dan kinerja perusahaan, diantaranya adalah dengan melakukan perampingan proses untuk meningkatkan efisiensi. Hasil observasi dengan menggunakan metode VSM memperlihatkan masih terdapatnya pemborosan dalam proses distribusi baik dalam hal waktu tunggu staf yang memakan waktu hingga proses, gerakan, dan atau transportasi yang tidak tepat/diperlukan. Perbaikan yang dilakukan sebagai luaran hasil analisis dapat memangkas pemborosan pada aktivitas pengiriman yaitu waiting, inappropriate processing, unnecessary motion dan transport­tation, hingga mengurangi waktu siklus sebesar 30%, namun hal tersebut belum dapat menjawab permasalahan target pemenuhan Purchase Order (PO).  Simulasi kejadian diskrit dilakukan dengan beberapa skenario yang mengintegrasikan data proses distribusi perusahaan sehingga dapat terlihat waktu siklus keseluruhan produk yang sesuai dengan target pemenuhan PO. Hasil simulasi memperlihatkan bahwa skenario 3 yaitu melalui pengintegrasian proses 1 dan 2 (membuat invoice packing list dan dokumen pengiriman), sistem pembayaran pajak secara online, dan penambahan mesin produksi sebesar 25% dapat memberikan kinerja yang lebih baik, ditunjukkan dengan waktu tunggu PO, waktu tunggu karyawan dan waktu produksi yang paling pendek yaitu sebesar 9.47 jam. Kombinasi metode Value Stream Mapping (VSM) dengan Discrete Event Simulation (DES) mampu memperlihatkan hasil perbaikan secara terintegrasi, sehingga permasalah­an pemenuhan PO dapat diselesaikan secara efisien dan efektif.

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References

Alfiansyah, R., & Kurniati, N. (2018). Identifikasi Waste dengan Metode Waste Assessment Model dalam Penerapan Lean Manufacturing untuk Perbaikan Proses Produksi (Studi Kasus pada Proses Produksi Sarung Tangan). Jurnal Teknik ITS, 7(1), 165–170. https://doi.org/10.12962/j23373539.v7i1.28858

Ali, N. Bin, Petersen, K., & de França, B. B. N. (2015). Evaluation of simulation-assisted value stream mapping for software product development: Two industrial cases. Information and Software Technology, 68, 45–61. https://doi.org/10.1016/j.infsof.2015.08.005

Antonelli, D., & Stadnicka, D. (2018). Combining factory simulation with value stream mapping: a critical discussion. Procedia CIRP, 67, 30–35. https://doi.org/10.1016/j.procir.2017.12.171

Atieh, A. M., Kaylani, H., Almuhtady, A., & Al-Tamimi, O. (2016). A value stream mapping and simulation hybrid approach: application to glass industry. The International Journal of Advanced Manufacturing Technology, 84(5), 1573–1586. https://doi.org/10.1007/s00170-015-7805-8

Bal, A., Ceylan, C., & Taçoğlu, C. (2017). Using value stream mapping and discrete event simulation to improve efficiency of emergency departments. International Journal of Healthcare Management, 10(3), 196–206. https://doi.org/10.1080/20479700.2017.1304323

Bhamu, J., & Singh Sangwan, K. (2014). Lean manufacturing: literature review and research issues. International Journal of Operations & Production Management, 34(7), 876–940. https://doi.org/10.1108/IJOPM-08-2012-0315

Detty, R. B., & Yingling, J. C. (2000). Quantifying benefits of conversion to lean manufacturing with discrete event simulation: A case study. International Journal of Production Research, 38(2), 429–445. https://doi.org/10.1080/002075400189509

Dinis-Carvalho, J., Guimaraes, L., Sousa, R. M., & Leao, C. P. (2019). Waste identification diagram and value stream mapping. International Journal of Lean Six Sigma, 10(3), 767–783. https://doi.org/10.1108/IJLSS-04-2017-0030

Hammad, A., Pang, H., & Zhang, C. (2018). Construction Simulation Using Cell-DEVS Modeling. In Discrete-Event Modeling and Simulation (pp. 309–329). CRC Press. https://doi.org/10.1201/9781315218731-12

Hernadewita, H., Setiawan, I., Hendra, H. (2022). Enhance quality improvement through lean six sigma in division Side Board Clavinova Piano's. International Journal of Production Management and Engineering. 10(2):173-181. https://doi.org/10.4995/ijpme.2022.16140

Jovanoski, B., Minovski, R., Todorov, M., Velkovski, T., & Jovanovski, B. (2022). Integration of Value Stream Mapping and Discrete Event Simulation: A Case Study from Lean BT - Proceedings on 18th International Conference on Industrial Systems – IS’20 (B. Lalic, D. Gracanin, N. Tasic, & N. Simeunović (eds.); pp. 201–207). Springer International Publishing. https://doi.org/10.1007/978-3-030-97947-8_27

Kamble, S. S., Gunasekaran, A., Ghadge, A., & Raut, R. (2020). A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation. International Journal of Production Economics, 229, 107853. https://doi.org/10.1016/j.ijpe.2020.107853

Liagkou, V., Salmas, D., & Stylios, C. (2019). Realizing Virtual Reality Learning Environment for Industry 4.0. Procedia CIRP, 79, 712–717. https://doi.org/10.1016/j.procir.2019.02.025

Melović, B., Mitrović, S., Zhuravlev, A., & Braila, N. (2016). The role of the concept of LEAN management in modern business. MATEC Web of Conferences, 86, 05029. https://doi.org/10.1051/matecconf/20168605029

Momenitabar, M., Ebrahimi, Z. D., Hosseini, S. H., & Arani, M. (2020). A Proposed Lean Distribution System for Solar Power Plants Using Mathematical Modeling and Simulation Technique. 2020 International Conference on Decision Aid Sciences and Application (DASA), 839–844. https://doi.org/10.1109/DASA51403.2020.9317257

Paillin, D. B., Camerling, B. J., & Nasarany, C. (2021). Lean distribution to minimize waste of time in the stripping process at PT. Pelabuhan Indonesia IV Ambon Branch. Journal of Engineering and Applied Technology, 1(2), 74–84. https://doi.org/10.21831/jeatech.v1i2.35091

Rohani, J. M., & Zahraee, S. M. (2015). Production Line Analysis via Value Stream Mapping: A Lean Manufacturing Process of Color Industry. Procedia Manufacturing, 2, 6–10. https://doi.org/10.1016/j.promfg.2015.07.002

Schmidtke, D., Heiser, U., & Hinrichsen, O. (2014). A simulation-enhanced value stream mapping approach for optimisation of complex production environments. International Journal of Production Research, 52(20), 6146–6160. https://doi.org/10.1080/00207543.2014.917770

Solaimani, S., Veen, J. van der, Sobek II, D. K., Gulyaz, E., & Venugopal, V. (2019). On the application of Lean principles and practices to innovation management. The TQM Journal, 31(6), 1064–1092. https://doi.org/10.1108/TQM-12-2018-0208

Sundar, R., Balaji, A. N., & Kumar, R. M. S. (2014). A Review on Lean Manufacturing Implementation Techniques. Procedia Engineering, 97, 1875–1885. https://doi.org/10.1016/j.proeng.2014.12.341

Turner, C. J., Hutabarat, W., Oyekan, J., & Tiwari, A. (2016). Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends. IEEE Transactions on Human-Machine Systems, 46(6), 882–894. https://doi.org/10.1109/THMS.2016.2596099

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Published
2023-07-05
How to Cite
Rakhmasari, A. A., & Dharmayanti, I. (2023). Integrasi Value Stream Mapping dengan Simulasi Kejadian Diskrit: Studi Kasus Lean Distribution. Jurnal INTECH Teknik Industri Universitas Serang Raya, 9(2), 117-126. https://doi.org/10.30656/intech.v9i2.6063
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Articles