Review Lean Manufacturing: Faktor Produksi 4M dan Aspek QCD
Abstract
Lean Manufacturing (LM) terbukti bisa meningkatkan daya saing perusahaan. Perkembangan penelitian LM bisa dilihat dari tren penelitian tiap tahun pada ScienceDirect. Tujuan dari penelitian adalah menemukan celah penelitian dari 39 artikel. Metode yang digunakan adalah studi literatur yaitu dengan mereview artikel berdasarkan nama jurnal, nama negara, sektor industri, faktor produksi 4M, aspek QCD dan Lean Tools (LT). Penerapan LM pada industri manufaktur (95%) sedangkan UKM (5%), mayoritas diterapkan pada faktor Method dan minoritas pada faktor Material, semua membahas aspek Cost dan paling sedikit membahas aspek Delivery. LT yang paling sering digunakan adalah Kaizen, VSM, TPM, Cause and effect analysis, Tack Time. LT yang hanya digunakan sekali adalah DOE, QS, MCD, ERP. Ditemukan celah penelitian yaitu penelitian pada sektor industri UKM, faktor produksi Material serta aspek Quality.
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Adlin, N., Nylund, H., Lanz, M., Lehtonen, T., & Juuti, T. (2020). Lean Indicators for Small Batch Size Manufacturers in High Cost Countries. Procedia Manufacturing, 51, 1371–1378. https://doi.org/https://doi.org/10.1016/j.promfg.2020.10.191
Afy-Shararah, M., & Salonitis, K. (2022). Integrated modeling of “soft” and “hard” variables in manufacturing. International Journal of Advanced Manufacturing Technology, 122(11–12), 4259–4265. https://doi.org/10.1007/s00170-022-09872-z
Agostinho, V., & Baldo, C. R. (2020). Assessment of the impact of Industry 4.0 on the skills of Lean professionals. Procedia CIRP, 96, 225–229. https://doi.org/10.1016/j.procir.2021.01.079
Ahmad, N., Hossen, J., & Ali, S. M. (2018). Improvement of overall equipment efficiency of ring frame through total productive maintenance: a textile case. International Journal of Advanced Manufacturing Technology, 94(1–4), 239–256. https://doi.org/10.1007/s00170-017-0783-2
Ahmad, R., & Soberi, M. S. F. (2018). Changeover process improvement based on modified SMED method and other process improvement tools application: an improvement project of 5-axis CNC machine operation in advanced composite manufacturing industry. International Journal of Advanced Manufacturing Technology, 94(1–4), 433–450. https://doi.org/10.1007/s00170-017-0827-7
Al Janahi, R., Wan, H. Da, Lee, Y., & Zarreh, A. (2020). Effectiveness and fitness of production line to meet customers’ demand. Procedia Manufacturing, 51(2019), 1348–1354. https://doi.org/10.1016/j.promfg.2020.10.188
Amrina, E., Kamil, I., & Rahmad, D. (2019). Waste assessment using a lean approach in receiving process of container terminal: A case of Teluk Bayur Port. IOP Conference Series: Materials Science and Engineering, 602(1). https://doi.org/10.1088/1757-899X/602/1/012050
Amrina, E., & Lubis, A. A. A. (2017). Minimizing waste using lean manufacturing: A case in cement production. 2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017, April 2017, 71–75. https://doi.org/10.1109/IEA.2017.7939181
Arey, D., Le, C. H., & Gao, J. (2020). Lean industry 4.0: A digital value stream approach to process improvement. Procedia Manufacturing, 54, 19–24. https://doi.org/10.1016/j.promfg.2021.07.004
Azarchehr-Sehat. (2010). The relationship between principals’ creativity and personnel’s productivity in technical - Vocational colleges. Procedia - Social and Behavioral Sciences, 5, 2277–2281. https://doi.org/10.1016/j.sbspro.2010.07.449
Azevedo, J., Sá, J. C., Ferreira, L. P., Santos, G., Cruz, F. M., Jimenez, G., & Silva, F. J. G. (2019). Improvement of Production Line in the Automotive Industry Through Lean Philosophy. Procedia Manufacturing, 41, 1023–1030. https://doi.org/https://doi.org/10.1016/j.promfg.2019.10.029
Batubara, S., & Halimuddin, R. A. (2016). Penerapan Lean Manufacturing Untuk Meningkatkan Kapasitas Produksi Dengan Cara Mengurangi Manufacturing Lead Time Studi Kasus: Pt Oriental Manufacturing Indonesia. Jurnal Penelitian Dan Karya Ilmiah Lembaga Penelitian Universitas Trisakti, 1(1), 49–56. https://doi.org/10.25105/pdk.v1i1.431
Bayou, M. E., & de Korvin, A. (2008). Measuring the leanness of manufacturing systems-A case study of Ford Motor Company and General Motors. Journal of Engineering and Technology Management - JET-M, 25(4), 287–304. https://doi.org/10.1016/j.jengtecman.2008.10.003
Braglia, M., Gallo, M., & Marrazzini, L. (2021). A lean approach to address material losses: materials cost deployment (MaCD). International Journal of Advanced Manufacturing Technology, 113(1–2), 565–584. https://doi.org/10.1007/s00170-021-06632-3
Brito, M., Vale, M., Leão, J., Ferreira, L. P., Silva, F. J. G., & Gonçalves, M. A. (2020). Lean and Ergonomics decision support tool assessment in a plastic packaging company. Procedia Manufacturing, 51, 613–619. https://doi.org/https://doi.org/10.1016/j.promfg.2020.10.086
Correia, D., Silva, F. J. G., Gouveia, R. M., Pereira, T., & Ferreira, L. P. (2018). Improving manual assembly lines devoted to complex electronic devices by applying Lean tools. Procedia Manufacturing, 17, 663–671. https://doi.org/10.1016/j.promfg.2018.10.115
Díaz-Reza, J. R., García-Alcaraz, J. L., Figueroa, L. J. M., Vidal, R. P. i., & Muro, J. C. S. D. (2022). Relationship between lean manufacturing tools and their sustainable economic benefits. International Journal of Advanced Manufacturing Technology, 123(3–4), 1269–1284. https://doi.org/10.1007/s00170-022-10208-0
Duque, D., & Cadavid, L. (2007). Lean manufacturing measurement: the relationship between lean activities and lean metrics. Estudios Gerenciales, 23(105), 69–83. https://doi.org/10.1016/s0123-5923(07)70026-8
Ellis, G. (2020). A brilliant insight. Improve, 17–40. https://doi.org/10.1016/b978-0-12-809519-5.00002-8
Greinacher, S., Overbeck, L., Kuhnle, A., Krahe, C., & Lanza, G. (2020). Multi-objective optimization of lean and resource efficient manufacturing systems. Production Engineering, 14(2), 165–176. https://doi.org/10.1007/s11740-019-00945-9
Hartmann, L., & Metternich, J. (2020). Waste in value streams caused by information flow: An analysis of information flow barriers and possible solutions. Procedia Manufacturing, 52, 121–126. https://doi.org/10.1016/j.promfg.2020.11.022
Huang, Z., Jowers, C., Kent, D., & Manshadi, A Dargusch, M. (2022). The implementation of Industry 4.0 in manufacturing: from lean manufacturing to product design. In International Journal of Advanced Manufacturing Technology. Springer. https://link.springer.com/article/10.1007/s00170-022-09511-7
Janeiro, R., Pereira, M. T., Ferreira, L. P., Sá, J. C., & Silva, F. J. G. (2020). New conceptual model of reverse logistics of a worldwide fashion company. Procedia Manufacturing, 51(2020), 1665–1672. https://doi.org/10.1016/j.promfg.2020.10.232
Jituri, S., Fleck, B., & Ahmad, R. (2018). Lean OR ERP–A decision support system to satisfy business objectives. Procedia CIRP, 422–427. https://www.sciencedirect.com/science/article/pii/S2212827118304608
Kafuku, J. M. (2019). Factors for effective implementation of lean manufacturing practice in selected industries in Tanzania. Procedia Manufacturing, 33, 351–358. https://doi.org/10.1016/j.promfg.2019.04.043
Karasu, M. K., & Salum, L. (2018). FIS-SMED: a fuzzy inference system application for plastic injection mold changeover. International Journal of Advanced Manufacturing Technology, 94(1–4), 545–559. https://doi.org/10.1007/s00170-017-0799-7
Kumar, S., Dhingra, A. K., & Singh, B. (2018). Process improvement through Lean-Kaizen using value stream map: a case study in India. International Journal of Advanced Manufacturing Technology, 96(5–8), 2687–2698. https://doi.org/10.1007/s00170-018-1684-8
Lee, D. Y., & Park, M. K. (2021). High Efficient Composite Stringer Forming Machine for Energy Saving. International Journal of Precision Engineering and Manufacturing - Green Technology, 8(5), 1371–1380. https://doi.org/10.1007/s40684-020-00251-1
Leong, W. D., Lam, H. L., Ng, W. P. Q., Lim, C. H., Tan, C. P., & Ponnambalam, S. G. (2019). Lean and Green Manufacturing—a Review on its Applications and Impacts. Process Integration and Optimization for Sustainability, 3(1), 5–23. https://doi.org/10.1007/s41660-019-00082-x
Logesh, B., & Balaji, M. (2021). Experimental Investigations to Deploy Green Manufacturing through Reduction of Waste Using Lean Tools in Electrical Components Manufacturing Company. International Journal of Precision Engineering and Manufacturing - Green Technology, 8(2), 365–374. https://doi.org/10.1007/s40684-020-00216-4
Malik, A. A., & Bilberg, A. (2018). Digital twins of human robot collaboration in a production setting. Procedia Manufacturing, 17, 278–285. https://doi.org/10.1016/j.promfg.2018.10.047
Martins, R., Pereira, M. T., Ferreira, L. P., Sá, J. C., & Silva, F. J. G. (2020). Warehouse operations logistics improvement in a cork stopper factory. Procedia Manufacturing, 51(2020), 1723–1729. https://doi.org/10.1016/j.promfg.2020.10.240
Mayr, A., Weigelt, M., Kühl, A., Grimm, S., Erll, A., Potzel, M., & Franke, J. (2018). Lean 4.0-A conceptual conjunction of lean management and Industry 4.0. Procedia CIRP, 72, 622–628. https://doi.org/10.1016/j.procir.2018.03.292
Mohammad, I. S., & Oduoza, C. F. (2019). Interactions of lean enablers in manufacturing SMEs using interpretive structural modelling approach - A case study of KRI. Procedia Manufacturing, 38(2019), 900–907. https://doi.org/10.1016/j.promfg.2020.01.172
Mudgal, D., Pagone, E., & Salonitis, K. (2020). Approach to Value Stream Mapping for Make-To-Order Manufacturing. Procedia CIRP, 93, 826–831. https://doi.org/https://doi.org/10.1016/j.procir.2020.04.084
Narkhede, B. E., Raut, R. D., Roy, M., Yadav, V. S., & Gardas, B. (2020). Implementation barriers to lean-agile manufacturing systems for original equipment manufacturers: an integrated decision-making approach. International Journal of Advanced Manufacturing Technology, 108(9–10), 3193–3206. https://doi.org/10.1007/s00170-020-05486-5
Pattanaik, L. N., Baug, T. K., & Koteswarapavan, C. (2019). A hybrid ELECTRE based prioritization of conjoint tools for lean and sustainable manufacturing. Production Engineering, 13(6), 665–673. https://doi.org/10.1007/s11740-019-00920-4
Pattiapon, M. L., Maitimu, N. E., & Magdalena, I. (2020). PENERAPAN LEAN MANUFACTURING GUNA MEMINIMASI WASTE PADA LANTAI PRODUKSI (Studi Kasus: UD. FILKIN). Arika, 14(1), 23–36. https://doi.org/10.30598/arika.2020.14.1.23
Putri, N. T., Gunawan, A., & Sutanto, A. (2018). The consequences of lean six sigma on banking improvement: A study at a front-line unit of a bank company in Indonesia. Advances in Intelligent Systems and Computing, 601(July), 227–237. https://doi.org/10.1007/978-3-319-60486-2_21
Rodrigues, H., Silva, F. J. G., Morgado, L. G., Sá, J. C., Ferreira, L. P., & Campilho, R. D. S. G. (2020). A novel computer application for scrap reporting and data management in the manufacturing of components for the automotive industry. Procedia Manufacturing, 51(2020), 1319–1326. https://doi.org/10.1016/j.promfg.2020.10.184
Rossini, M., Audino, F., Costa, F., Cifone, F., Kundu, K., & Portioli-Staudacher, A. (2019). Extending lean frontiers: a kaizen case study in an Italian MTO manufacturing company. International Journal of Advanced Manufacturing Technology, 104(5–8), 1869–1888. https://doi.org/10.1007/s00170-019-03990-x
Rossini, M., Costa, F., Tortorella, G., & Portioli-Staudacher, A. (2019). The interrelation between Industry 4.0 and lean production: an empirical study on European manufacturers. International Journal of Advanced Manufacturing Technology, 102(9–12), 3963–3976. https://doi.org/10.1007/s00170-019-03441-7
Schmidt, D., Gevers, R., Schwiep, J., Ordieres-Meré, J., & Villalba-Diez, J. (2020). Deep learning enabling quality improvement in rotogravure manufacturing. Procedia Manufacturing, 51, 330–336. https://doi.org/10.1016/j.promfg.2020.10.047
Schutzbach, M., Kiemel, S., & Miehe, R. (2022). Eco Lean Management – Recent Progress, Experiences and Perspectives. Procedia CIRP, 107, 350–356. https://doi.org/https://doi.org/10.1016/j.procir.2022.04.057
Sonmez, V., Testik, M. C., & Testik, O. M. (2018). Overall equipment effectiveness when production speeds and stoppage durations are uncertain. International Journal of Advanced Manufacturing Technology, 95(1–4), 121–130. https://doi.org/10.1007/s00170-017-1170-8
Susilawati, A. (2021). Productivity enhancement: lean manufacturing performance measurement based multiple indicators of decision making. Production Engineering, 15(3–4), 343–359. https://doi.org/10.1007/s11740-021-01025-7
Utiyama, M. H. R., Godinho Filho, M., & Oprime, P. C. (2021). An alternative for improving setup times and time between failures aiming at manufacturing lead time reduction. Production Engineering, 15(5), 651–665. https://doi.org/10.1007/s11740-021-01048-0
Wang, J., Du, Y., Wang, Z., Yu, F., & Zheng, C. (2022). Survey of manufacturing systems in SMEs: A focus on cell management. Procedia CIRP, 107, 1491–1496. https://doi.org/10.1016/j.procir.2022.05.180
Zahraee, S. M., Tolooie, A., Abrishami, S. J., Shiwakoti, N., & Stasinopoulos, P. (2020). Lean manufacturing analysis of a Heater industry based on value stream mapping and computer simulation. Procedia Manufacturing, 51, 1379–1386. https://doi.org/https://doi.org/10.1016/j.promfg.2020.10.192
DOI: http://dx.doi.org/10.22441/pasti.2023.v17i3.001
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