Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry

Authors

  • Hendra Hendra University of Sultan Ageng Tirtayasa Banten
  • Indra Setiawan University of Mercubuana Jakarta
  • Hernadewita Hernadewita University of Mercubuana Jakarta
  • Hermiyetti Hermiyetti University of Bakrie

DOI:

https://doi.org/10.26555/jiteki.v7i3.21904

Keywords:

Anova, Dynamo , Lean Six Sigma, Musical Instrument Industry, Operation Process Chart

Abstract

Customer satisfaction is one of the main factors that must be considered by every company to compete in the global market. One way to increase customer satisfaction is to reduce defective products and reduce waste. This method is a continuous improvement that must be carried out by every manufacturing industry. The Musical Instrument Industry is one of the producers of electronic musical instruments such as pianos. The production process has occurred several problems such as low product quality and waste (ineffective processes, inappropriate layouts, overproduction, and poor production quality). The biggest problem with this company is the large number of products that are not following company standards, such as not achieving quality standards and production not achieving targets. To improve the quality of its production, companies need to make the production process streamlined so that it will create a more effective and efficient production line. A balance between effectiveness and efficiency can be made by reducing waste. Lean Six Sigma is an approach that focuses on improving quality and eliminating waste and sustainable strategy to improve product quality while reducing waste. The company's strategy to be able to compete in the global market must be able to improve product quality and eliminate waste. This study aims to improve product quality and analyze the effect of improving quality on waste. The method used is Lean Six Sigma with dynamo stages, namely pre-study, measurement, analysis, and implementation. The results showed that the quality of the product had increased. Quality improvement has a significant effect on waste.

Author Biography

Hernadewita Hernadewita, University of Mercubuana Jakarta

Mechanical Engineering Dept.

References

E. Haviana and Hernadewita, “Productivity improvement in the rubber production process using value stream mapping method to eliminate waste,†Operations Excellence, vol. 11, no. 2, pp. 119–130, 2019. https://doi.org/10.22441/oe.v11.2.2019.023

G. Santos, J. Carlos, S. Ricardo, J. Pulido, G. Jimenez, and H. Hernández, “Improvement of Productivity and Quality in the Value Chain through Lean Manufacturing – a case study,†Procedia Manufacturing, vol. 41, pp. 882–889, 2019. https://doi.org/10.1016/j.promfg.2019.10.011

N. M. Ahmed, M. A. Sharief, and A. B. A. Nasr, “Implement Lean Thinking in Automotive Service Centers to Improve Customers’ Satisfaction,†International Journal of Scientific & Engineering Research, vol. 6, no. 6, 576–583, 2015. https://www.ijser.org/researchpaper/Implement-Lean-Thinking-in-Automotive-Service-Centers-to-Improve-Customers-Satisfaction.pdf

M. T. Pereiraa, Bentoa, Ferreiraa, J. C. Sá, F. J. G. Silvaa, and A. Baptista, “Using Six Sigma to analyse Customer Satisfaction at the product design and development stage,†29th International Conference on Flexible Automation and Intelligent Manufacturing, vol. 38, 2019, pp. 1608–1614, 2019. https://doi.org/10.1016/j.promfg.2020.01.124

I. Setiawan and Setiawan, “Defect reduction of roof panel part in the export delivery process using the DMAIC method: a case study,†Jurnal Sistem dan Manajemen Industri, vol. 4, no. 2, pp. 108–116, 2020. https://doi.org/10.30656/jsmi.v4i2.2775

M. M. Saxena and KVN S. Rao, “Quality management, total quality management and six sigma,†International Journal of Scientific and Technology Research, vol. 8, no. 12, pp. 394–399, 2019. http://www.ijstr.org/final-print/dec2019/Quality-Management-Total-Quality-Management-And-Six-Sigma.pdf

B. I. Saleh and S. Hasibuan, “Analysis for Enhancing Quality and Productivity Using Overall Equipment Effectiveness and Statistical Process Control in Manufacturing Industry Case Study: Manufacturing Industry Sport Shoes in Tangerang Region,†International Journal of Innovative Science and Research Technology, vol. 4, no. 12, pp. 108–114, 2019. https://www.ijisrt.com/assets/upload/files/IJISRT19DEC308.pdf

I. Siregar, A. A. Nasution, U. Andayani, R. M. Sari, K. Syahputri, and Anizar, “Lean manufacturing analysis to reduce waste on production process of fan products,†IOP Conference Series: Materials Science and Engineering, vol. 308, 2018. https://doi.org/10.1088/1757-899X/308/1/012004

H. Henny, I. Andriana, A. N. Latifah, and H. Haryanto, “The Application Lean Six Sigma Method Approach to Minimize Waste,†IOP Conference Series: Materials Science and Engineering, vol. 662, no. 2, 2019. https://doi.org/10.1088/1757-899X/662/2/022089

A. Karim and K. Arif-uz-zaman, “A methodology for effective implementation of lean strategies and its performance evaluation in manufacturing organizations,†Business Process Management Journal, vol. 19, no. 1, pp. 169–196, 2014. https://doi.org/10.1108/14637151311294912

Khairunnisa, J. Hidayati, and A. Shalihin, “Reducing waste order production process more efficient approach effective and lean manufacturing (Journal Review),†IOP Conference Series: Materials Science and Engineering, vol. 725, no. 1, 2020. https://doi.org/10.1088/1757-899X/725/1/012001

V. Ramakrishnan, and J. Jayaprakash, “Application of Lean Six Sigma Tools for Reduction of Defects in Pump Manufacturing,†Applied Mechanics and Materials, vol. 813–814, pp. 1140–1149, 2015. https://doi.org/10.4028/www.scientific.net/AMM.813-814.1140

R. D. Adikorley, L. Rothenberg, and A. Guillory, “Lean Six Sigma applications in the textile industry: a case study,†International Journal of Lean Six Sigma, vol. 8, no. 2, pp. 210–224, 2017. https://doi.org/10.1108/IJLSS-03-2016-0014

T. A. Tran, K. Luu-Nhan, R. Ghabour, and M. Daroczi, “The use of Lean Six-Sigma tools in the improvement of a manufacturing company – Case study,†Production Engineering Archives, vo. 26, no. 1, pp. 30–35, 2020. https://doi.org/10.30657/pea.2020.26.07

A. Ishak, K. Siregar, R. Ginting, and D. Gustia, “Reducing waste to improve product quality in the wooden pallet production process by using lean six sigma approach in PT. XYZ,†IOP Conference Series: Materials Science and Engineering, vol. 1003, no. 1, pp. 1–10, 2020. https://doi.org/10.1088/1757-899X/1003/1/012090

A. Pugna, R. Negrea, and S. Miclea, “Using Six Sigma Methodology to Improve the Assembly Process in an Automotive Company,†13th International Symposium in Management, vol. 221, pp. 308–316, 2016. https://doi.org/10.1016/j.sbspro.2016.05.120

S. J. Raval, R. Kant, and R. Shankar, “Benchmarking the Lean Six Sigma performance measures: a balanced score card approach,†Benchmarking, vol. 26, no. 6, pp. 1921–1947, 2019. https://doi.org/10.1108/BIJ-06-2018-0160

N. Nandakumar, P. G. Saleeshya, and P. Harikumar, “Bottleneck Identification and Process Improvement by Lean Six Sigma DMAIC Methodology,†Materials Today: Proceedings, vol. 24, pp. 1217–1224, 2020. https://doi.org/10.1016/j.matpr.2020.04.436

S. Mahato, A. Rai Dixit, and R. Agrawal, “Application of Lean Six Sigma for cost-optimised solution of a field quality problem: A case study,†Proceedings of the Institution of Mechanical Engineers, vol. 231, no. 4, pp. 713–729, 2017. https://doi.org/10.1177/0954405417694060

N. Yadav, K. Mathiyazhagan, and K. Kumar, “Application of Six Sigma to minimize the defects in glass manufacturing industry: A case study,†Journal of Advances in Management Research, vol. 16, no. 4, pp. 594–624, 2019. https://doi.org/10.1108/JAMR-11-2018-0102

N. Kumar, S. K. Jarial, and M. S. Narwal, “Lean Six Sigma in Brazil: a literature review,†International Journal of Lean Six Sigma, vol. 10, no. 1, pp. 435–472, 2019. https://doi.org/10.1108/IJLSS-09-2017-0103

J. Prayugo and L. Zhong, “Green productivity: waste reduction with green value stream mapping. A case study of leather production,†International Journal of Production Management and Engineering, vol. 9, no. 1, pp. 47–55, 2021. https://doi.org/10.4995/ijpme.2021.12254

T. V. Kumar, M. Parthasarathi, and Manojkumar, “Lean Six Sigma Approach to Improve Overall Equipment Effectiveness Performance: A Case Study in the Indian Small Manufacturing Firm,†Asian Journal of Research in Social Sciences and Humanities, vol. 6, no. 12, pp. 122–129, 2016. https://doi.org/10.5958/2249-7315.2016.01349.6

V. R. Sreedharan and R. Raju, “A systematic literature review of Lean Six Sigma in different industries,†International Journal of Lean Six Sigma, vol. 7, no. 4, 430–466, 2016. https://doi.org/10.1108/IJLSS-12-2015-0050

Y. Narottam, K. Mathiyazhagan, and K. Kumar, “Literature review: Continuous improvement through Lean Six Sigma,†International Journal of Productivity and Quality Management, vol. 28, no. 1, pp. 3–27, 2019. https://doi.org/10.1504/IJPQM.2019.10024205

K. Srinivasan, S. Muthu, N. K. Prasad, and G. Satheesh, “Reduction of paint line defects in shock absorber through Six Sigma DMAIC phases,†12th Global Congress On Manufacturing And Management, vol. 97, pp. 1755–1764, 2014. https://doi.org/10.1016/j.proeng.2014.12.327

A. Rahman, S. U. C. Shaju, S. K. Sarkar, M. Z. Hashem, S. M. K. Hasan, R. Mandal, and U. Islam, “A Case Study of Six Sigma Define Measure Analyze Improve Control (DMAIC) Methodology in Garment Sector,†Independent Journal of Management & Production, vol. 8, no. 4, pp. 1309–1323, 2017. https://doi.org/10.14807/ijmp.v8i4.650

H. Herlambang, H. H. Purba, and C. Jaqin, “Development of machine vision to increase the level of automation in indonesia electronic component industry,†Journal Europeen Des Systemes Automatises, vol. 54, no. 2, pp. 253–262, 2021. https://doi.org/10.18280/jesa.540207

E. Zancul, H.O. Martins, F.P. Lopes, F.A. da Silva Neto, Machine vision applications in a learning factory,†Procedia Manufacturing, vol. 45, pp. 516-521, 2020. https://doi.org/10.1016/j.promfg.2020.04.069

A. Fasth, J. Stahre, and K. Dencker, “Measuring and analysing levels of Automation in an assembly system,†Manufacturing Systems and Technologies for the New Frontier, pp. 169-172, 2008. https://doi.org/10.1007/978-1-84800-267-8_34

R. Sanders, “The Pareto Principle: its Use and Abuse,†Journal of Services Marketing, vol. 1, no. 2, pp. 37-40, 1992. https://doi.org/10.1108/eb024706

H. Hassani and E. S. Silva, “A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts,†Econometrics, vol. 3, pp. 590-609, 2015. https://doi.org/10.3390/econometrics3030590

Downloads

Published

2021-12-07

How to Cite

[1]
H. Hendra, I. Setiawan, H. Hernadewita, and H. Hermiyetti, “Evaluation of Product Quality Improvement Against Waste in the Electronic Musical Instrument Industry”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 7, no. 3, pp. 402–411, Dec. 2021.

Issue

Vol. 7 No. 3 (2021): December

Section

Articles

License

Authors who publish with JITEKI agree to the following terms:

  1. Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

Lisensi Creative Commons

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

Most read articles by the same author(s)