Review Lean Manufacturing: Faktor Produksi 4M dan Aspek QCD

Qomarotun Nurlaila, Nilda Tri Putri, Elita Amrina


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.


Lean Manufacturing (LM); QCD Aspect; Production Factor 4M; Lean Tools (LT); Research Gap

Full Text:



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.

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.

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.

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.

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.

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.

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).

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.

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.

Azarchehr-Sehat. (2010). The relationship between principals’ creativity and personnel’s productivity in technical - Vocational colleges. Procedia - Social and Behavioral Sciences, 5, 2277–2281.

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.

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.

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.

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.

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.

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.

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.

Duque, D., & Cadavid, L. (2007). Lean manufacturing measurement: the relationship between lean activities and lean metrics. Estudios Gerenciales, 23(105), 69–83.

Ellis, G. (2020). A brilliant insight. Improve, 17–40.

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.

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.

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.

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.

Jituri, S., Fleck, B., & Ahmad, R. (2018). Lean OR ERP–A decision support system to satisfy business objectives. Procedia CIRP, 422–427.

Kafuku, J. M. (2019). Factors for effective implementation of lean manufacturing practice in selected industries in Tanzania. Procedia Manufacturing, 33, 351–358.

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.

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.

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.

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.

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.

Malik, A. A., & Bilberg, A. (2018). Digital twins of human robot collaboration in a production setting. Procedia Manufacturing, 17, 278–285.

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.

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.

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.

Mudgal, D., Pagone, E., & Salonitis, K. (2020). Approach to Value Stream Mapping for Make-To-Order Manufacturing. Procedia CIRP, 93, 826–831.

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.

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.

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.

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.

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.

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.

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.

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.

Schutzbach, M., Kiemel, S., & Miehe, R. (2022). Eco Lean Management – Recent Progress, Experiences and Perspectives. Procedia CIRP, 107, 350–356.

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.

Susilawati, A. (2021). Productivity enhancement: lean manufacturing performance measurement based multiple indicators of decision making. Production Engineering, 15(3–4), 343–359.

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.

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.

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.



  • There are currently no refbacks.

Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri)
Teknik Industri, Fakultas Teknik, Universitas Mercu Buana
Jl. Meruya Selatan, Kembangan, Jakarta Barat 11650
Tlp./Fax: +62215871335
p-ISSN: 2085-5869 / e-ISSN: 2598-4853


This journal is accredited:

This journal is indexed by:


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Analytics Made Easy - StatCounter
View My Stats