Integration of Overall Equipment Effectiveness and Six Sigma Approach to Minimize Product Defect and Machine Downtime

• Autorzy: Nurprihatin Filscha , Rembulan Glisina Dwinoor , Andry Johanes Fernandes , Lubis Maulidina , Widiwati Ivana Tita Bella , Vaezi Ali

Identyfikatory

DOI

10.24425/mper.2023.147205

• Języki publikacji: EN

Abstrakty

EN

This study was conducted in a company that produces palm oil-based products such as cooking oil and margarine. The study aimed to encounter defects in packaging pouches. This study integrated the overall equipment effectiveness (OEE) with the six sigma DMAIC method. The OEE was performed to measure the efficiency of the machine. Three factors were measured in OEE: availability, performance, and quality. These factors were calculated and compared to the OEE world-class value. Then, the Multiple Linear Regression was performed using SPSS to determine the correlation between measurement variables toward the OEE value. Lastly, the six sigma method was implemented through the DMAIC approach to find the solution and improve the packaging quality. Supposing the recommendations are implemented, the OEE is expected to increase from 82% to 85%, with availability ratio, performance ratio, and quality ratio at, 99%, 86%, and 99.8%, respectively.

Słowa kluczowe

EN

overall equipment effectiveness; six sigma; multiple linear regression; DMAIC; packaging quality

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2023
• Tom: Vol. 14, No. 4
• Strony: 71--91
• Opis fizyczny: Bibliogr. 40 poz., rys., tab., wykr.

Twórcy

autor

Nurprihatin Filscha

• Department of Industrial Engineering, Sampoerna University, Indonesia

autor

Rembulan Glisina Dwinoor

• Department of Management, Universitas Bunda Mulia, Indonesia

autor

Andry Johanes Fernandes

• Department of Information Systems, Universitas Bunda Mulia, Indonesia

autor

Lubis Maulidina

• Department of Industrial Engineering, Sampoerna University, Indonesia

autor

Widiwati Ivana Tita Bella

• Department of Industrial Engineering, Sampoerna University, Indonesia

autor

Vaezi Ali

• Goodman School of Business, Brock University, Canada

Bibliografia

• Ahmad, S., Wasim, S., Irfan, S., Gogoi, S., Srivastava, A., & Farheen, Z. (2019). Qualitative v/s. quantitative research- a summarized review. Journal of Evidence Based Medicine and Healthcare, 6(43), 2828-2832. DOI: 10.18410/jebmh/2019/587.
• Allen, T.T., & Shanmugam, R. (2019). Introduction to engineering statistics and lean six sigma: statistical quality control and design of experiments and systems. Journal of Statistical Computation and Simulation, 89(15), 2980-2980. DOI: 10.1080/00949655.2019.1589122.
• Andry, J.F., Nurprihatin, F., & Liliana, L. (2022a). Supply chain mapping to prepare golden generation 2045 for future technology infrastructure. E3S Web of Conferences (Vol. 359). DOI: 10.1051/e3sconf/202235905004.
• Andry, J.F., Nurprihatin, F., & Liliana, L. (2022b). Supply chain disruptions mitigation plan using six sigma method for sustainable technology infrastructure. Management and Production Engineering Review, 13(4), 88-97. DOI: 0.24425/mper.2022.142397.
• Andry, J.F., Nurprihatin, F., & Liliana, L. (2023). Developing a decision support system for supply chain component. Management and Production Engineering Review, 14(2), 124-133. DOI: 0.24425/mper.2023.146029.
• Cheah, C.K., Prakash, J., & Ong, K.S. (2020). Overall equipment effectiveness (OEE): a review and development of an integrated improvement framework. International Journal of Productivity and Quality Management, 1(1), 1-26. DOI: 10.1504/IJPQM.2019.10020889.
• Chiarini, A. (2015). Improvement of OEE performance using a lean six sigma approach: an Italian manufacturing case study. International Journal of Productivity and Quality Management, 16(4), 416-433. DOI: 10.1504/IJPQM.2015.072414.
• Chikwendu, O.C., Chima, A.S., & Edith, M.C. (2020). The optimization of overall equipment effectiveness factors in a pharmaceutical company. Heliyon, 6(4). DOI: 10.1016/j.heliyon.2020.e03796.
• Corrales, L. del C.N., Lambán, M.P., Korner, M.E.H., & Royo, J. (2020). Overall equipment effectiveness: systematic literature review and overview of different approaches. Applied Sciences, 10(18), 6469-6489. DOI: 10.3390/app10186469.
• Febriana, T.H., & Hasbullah, H. (2021). Analysis and defect improvement using FTA, FMEA, and MLR through DMAIC phase: case study in mixing process tire manufacturing industry. Journal Européen Des Systèmes Automatisés, 54(5), 721-731. DOI: 10.18280/jesa.540507.
• Gabungan Pengusaha Kelapa Sawit Indonesia (GAPKI), (2018, November). Perkembangan Mutakhir Industri Minyak Sawit Indonesia. Gabungan Pengusaha Kelapa Sawit Indonesia (GAPKI). https://gapki.id/news/3971/perkembangan-mutakhir-industriminyak-sawit-indonesia.
• Gabungan Pengusaha Kelapa Sawit Indonesia (GAPKI), (2021). Refleksi Industri Sawit 2020 dan Prospek 2021. Gabungan Pengusaha Kelapa Sawit Indonesia (GAPKI). https://gapki.id/news/18768/refleksiindustri-sawit-2020-prospek-2021.
• Gallesi-Torres, A., Velarde-Cabrera, A., León-Chavarri, C., Raymundo-Ibañez, C., & Dominguez, F. (2020). Maintenance management model under the TPM approach to reduce machine breakdowns in Peruvian giant squid processing smes. IOP Conference Series: Materials Science and Engineering, 796(1). DOI: 10.1088/1757-899x/796/1/012006.
• Gaspersz, V., & Fontana, A. F. (2018). Lean six sigma for manufacturing and service industries waste elimination and continuous cost reduction. Bogor: Vinchristo Publication.
• Ginste, L. Van De, Aghezzaf, E.-H., & Cottyn, J. (2022). The role of equipment flexibility in Overall Equipment Effectiveness (OEE)-driven process improvement. Procedia CIRP, 107, 289-294. DOI: 10.1016/j.procir.2022.04.047.
• Girmanová, L., Šolc, M., Kliment, J., Divoková, A., & Mikloš, V. (2017). Application of six sigma using DMAIC methodology in the process of product quality control in metallurgical operation. Acta Technologica Agriculturae, 20(4), 104-109. DOI: 10.1515/ata-2017-0020.
• Karamazova, E., Jusufi Zenku, T., & Trifunov, Z. (2017). Analysing and comparing the final grade in mathematics by Linear Regression using excel and SPSS. International Journal of Mathematics Trends and Technology, 52(5), 334-344. DOI: 10.14445/22315373/IJMTT-V52P549.
• Khademi, F., Akbari, M., Jamal, S.M., & Nikoo, M. (2017). Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. Frontiers of Structural and Civil Engineering, 11(1), 90-99. DOI: 10.1007/s11709-016-0363-9.
• Klemelä, J. (2018). Multivariate Data Analysis. In Nonparametric Finance (pp. 95-120). DOI: 10.1002/9781119409137.ch4.
• Klimecka-Tatar, D., & Ingaldi, M. (2022). Digitization of processes in manufacturing SMEs –-value stream mapping and OEE analysis. Procedia Computer Science, 200, 660668. DOI: 10.1016/j.procs.2022.01.264.
• Liu, L., Geng, Q., Zhang, Y., & Wang, Y. (2022). Investors’ perspective on forecasting crude oil return volatility: where do we stand today? Journal of Management Science and Engineering, 7(3), 423-438. DOI: 10.1016/j.jmse.2021.11.001.
• Lutfianto, M.A., & Prabowo, R. (2022). Implementation of six sigma methods with failure mode and effect analysis (FMEA) as a tool for quality improvement of newspaper products (case study: PT. ABC Manufacturing - Sidoarjo, East Java - Indonesia). Journal of Integrated System, 5(1), 87-98. DOI: 10.28932/jis.v5i1.4615.
• Mendonça, P.A., Francisco, R. da P., & Rabelo, D. de S. (2022). OEE approach applied to additive manufacturing systems in distributed manufacturing networks. Computers & Industrial Engineering, 171. DOI: 10.1016/j.cie.2022.108359.
• Mohammadi, M., Rai, P., & Gupta, S. (2017). Performance evaluation of bucket Based Excavating, Loading and Transport (BELT) equipment - An OEE approach. Archives of Mining Sciences, 62(1), 105-120. DOI: 10.1515/amsc-2017-0008.
• Montororing, Y.D.R., & Nurprihatin, F. (2021). Model of quality control station allocation with consider work in process, and defect probability of final product. Journal of Physics: Conference Series, 1811(1). DOI: 10.1088/1742-6596/1811/1/012013.
• Nagi, A., & Altarazi, S. (2017). Integration of value stream map and strategic layout planning into DMAIC approach to improve carpeting process. Journal of Industrial Engineering and Management, 10(1), 74-97. DOI: 10.3926/jiem.2040.
• Nayebi, H. (2020). Advanced statistics for testing assumed causal relationships: multiple regression analysis path analysis logistic regression analysis. Springer Nature. https://books.google.co.id/books/about/Advanced_Statistics_for_Testing_Assumed.html?id=acL3DwAAQBAJ&redir_esc=y#:~:text= This book concentrates on linear regression%2C path analysis, using simple examples without requesting any mathematical knowledge.
• Nurcahyo, R., Faisal, & Dachyar, M. (2018). Overall Equipment Effectiveness (OEE) at the laboratory of structure testing. Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018, 1080-1090.
• Nurprihatin, F., Angely, M., & Tannady, H. (2019). Total productive maintenance policy to increase effectiveness and maintenance performance using overall equipment effectiveness. Journal of Applied Research on Industrial Engineering, 6(3), 184-199. DOI: 10.22105/jarie.2019.199037.1104.
• Nurprihatin, F., Ayu, Y.N., Rembulan, G.D., Andry, J.F., & Lestari, T.E. (2023). Minimizing product defects based on labor performance using linear regression and six sigma approach. Management and Production Engineering Review, 14(2), 88-98. DOI: 10.24425/mper.2023.146026.
• Nurprihatin, F., Jayadi, E.L., & Tannady, H. (2020). Comparing heuristic methods’ performance for pure flow shop scheduling under certain and uncertain demand. Management and Production Engineering Review, 11(2), 50-61. DOI: 10.24425/mper.2020.133728.
• Nurprihatin, F., Mardhatillah, N.R., Young, M.N., Liman, S.D., Redi, A.A.N.P., & Prasetyo, Y.T. (2022a). Integration of Net Promoter Score and DMAIC Approach to Measure Customer Satisfaction in Packaging Industry. 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), 220-225. DOI: 10.1109/ICCMSO58359.2022.00052.
• Nurprihatin, F., Rembulan, F.D., & Pratama, Y.D. (2022b). Comparing probabilistic economic order quantity and periodic order quantity model performance under lumpy demand environment. Management and Production Engineering Review, 13(4), 16-25. DOI: 10.24425/mper.2022.142391. Patel, A.S., & Patel, K.M. (2021). Critical review of literature on lean six sigma methodology. International Journal of Lean Six Sigma, 12(3), 627–-674. DOI: 10.1108/IJLSS-04-2020-0043.
• Patil, A.B., & Inamdar, K.H. (2014). Process improvement using DMAIC approach: case study in downtime reduction. International Journal of Engineering Research & Technology (IJERT), 3(3), 1930-1934. DOI: 10.17577/IJERTV3IS031609.
• Pekarčíková, M., Trebuna, P., Kliment, M., Trojan, J., Kopec, J., Dic, M., & Kronová, J. (2023). Case study: testing the overall efficiency of equipment in the production process in TX plant simulation software. Management and Production Engineering Review, 14(1), 34-42. DOI: 10.24425/mper.2023.145364.
• Priscylio, G., Rochintaniawati, D., & Anwar, S. (2019). Needs of integrated science textbook for junior high schoolbased on learning style (descriptive research). International Conference on Mathematics and Science Education of Universitas Pendidikan Indonesia, 396-401. http://science.conference.upi.edu/proceeding/index.php/ICMScE/article/view/28
• Raval, S.J., Kant, R., & Shankar, R. (2018). Lean Six Sigma implementation: modelling the interaction among the enablers. Production Planning & Control, 29(12), 1010-1029. DOI: 10.1080/09537287.2018.1495773.
• Shahin, A., & Attarpour, M.R. (2011). Developing decision making grid for maintenance policy making based on estimated range of overall equipment effectiveness. Modern Applied Science, 5(6), 86-97. DOI: 10.5539/mas.v5n6p86.
• Singh, R.K., Clements, E.J., & Sonwaney, V. (2018). Measurement of overall equipment effectiveness to improve operational efficiency. International Journal of Process Management and Benchmarking, 8(2), 246--261. DOI: 10.1504/IJPMB.2018.1001026.
• Trimarjoko, A., Purba, H.H., & Nindiani, A. (2020). Consistency of dmaic phases implementation on six sigma method in manufacturing and service industry: a literature review. Management and Production Engineering Review, 11(4), 34-45. DOI: 10.24425/ mper.2020.136118.