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2023 | 14 | nr 2 | 88--98
Tytuł artykułu

Minimizing Product Defects Based on Labor Performance Using Linear Regression and Six Sigma Approach

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The objective of this research is to minimize product defects based on labor performance and prove the hypothesis on how labor performance affects the quality of a product through a scientific calculation using Overall Labor Effectiveness (OLE). The primary data is obtained by interviewing the supervisor and labor directly. For secondary data is obtained from the company, such as labor working time, machine scheduled downtime, total production, and defective products. The approach to extract the data is using OLE and the continued re- gression method. Furthermore, it proceeds to Six Sigma using the DMAIC approach since the results show a significant correlation. The result from Failure Mode and Effects Analysis (FMEA) shows four of six potential failures caused by product defects are coming from labor. To prevent failure mode, it is recommended to have the regular machine checked by labor, check the temperature of the machine, and provide Standard Operating Procedures.(original abstract)
Rocznik
Tom
14
Numer
Strony
88--98
Opis fizyczny
Twórcy
  • Sampoerna University, Indonesia
  • Sampoerna University, Indonesia
  • Universitas Bunda Mulia, Indonesia
  • Universitas Bunda Mulia, Indonesia
  • Sampoerna University, Indonesia
Bibliografia
  • Ahmed N.G.S., Abohashima H.S. and Aly M.F. (2018), Defect reduction using six sigma methodology in home appliance company: A case study, Proceedings of the International Conference on Industrial Engineering and Operations Management, pp. 1349-1358.
  • Andry J.F., Nurprihatin F. and Liliana L. (2022a), Supply chain disruptions mitigation plan using six sigma method for sustainable technology infrastructure, Management and Production Engineering Review, No. 4, Vol. 13, pp. 88-97, doi: 10.24425/mper.2022.142397.
  • Andry J.F., Nurprihatin F. and Liliana L. (2022b), Supply chain mapping to prepare golden generation 2045 for future technology infrastructure, E3S Web of Conferences, No. 359, pp. 1-10, doi: 10.1051/e3sconf/202235905004.
  • Bakiko E., Serdyuk V., Yanchij S., Ignatovich I. and Bardina E. (2020), The labor protection specialist competence influence on the professional risk management state. E3S Web of Conferences, Vol. 178, 1-4, doi: 10.1051/e3sconf/202017801087.
  • Dinulescu R., Smeureanu I., Dobrin C. and Popa I. (2018), A statistical approach for improving the Romanian public healthcare system using the lean six sigma methodology, Economic Computation and Economic Cybernetics Studies and Research, No. 3, Vol. 52, pp. 55-72, doi: 10.24818/18423264/52.3.18.04.
  • Filz M.A., Langner J.E.B., Herrmann C. and Thiede S. (2021), Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning, Computers in Industry, No. 129, pp. 1-17, doi: 10.1016/j.compind.2021.103451.
  • Hakimi S., Zahraee S.M. and Rohani J.M. (2018), Application of six sigma DMAIC methodology in plain yogurt production process, International Journal of Lean Six Sigma, No. 4, Vol. 9, pp. 562-578, doi: 10.1108/IJLSS-11-2016-0069.
  • Hanna A.S., Russell J.S., Nordheim, E.V. and Bruggink M.J. (1999), Impact of change orders on labor efficiency for electrical construction, Journal of Construction Engineering and Management, No. 4, Vol. 125, pp. 224-232.
  • Iryna S., Zhong Y., Jiang W., Deng X. and Geng J. (2020), Single-valued neutrosophic set correlation coefficient and its application in fault diagnosis, Symmetry, No. 8, Vol. 12, pp. 1-13, doi: 10.3390/SYM12081371
  • Karbasian M. and Rostamkhani R. (2020), Achieving productive reliability through applying statistical distribution functions, International Journal of Quality and Reliability Management, No. 8, Vol. 37, pp. 1125-1149, doi: 10.1108/IJQRM-11-2018-0298.
  • Manual D. (2006), Six sigma methodology: reducing defects in business processes, Filtration & Separation, No. 1, Vol. 43, pp. 34-36, doi: 10.1016/S0015-1882(06)70764-9.
  • Mitra S., Lim S. and Karathanasopoulos A. (2019), Regression based scenario generation: Applications for performance management, Operations Research Perspectives, No. 6, pp. 1-12, doi: 10.1016/j.orp.2018.100095.
  • Mohinuddin S.M.K., Vivekanand V. and Jayakumar C. (2021), Literature review on the usage of six sigma techniques for improvement of quality in soft drink beverage and bottling industries, IOP Conference Series: Materials Science and Engineering, No. 1, Vol. 1033, pp. 1-8, doi: 10.1088/1757-899X/1033/1/012006.
  • Nurprihatin F., Angely M. and Tannady H. (2019), Total productive maintenance policy to increase effectiveness and maintenance performance using overall equipment effectiveness, Journal of Applied Research on Industrial Engineering, No. 3, Vol. 6, pp. 184-199, doi: 10.22105/jarie.2019.199037.1104.
  • Nurprihatin F., Dwinoor Rembulan G. and Pratama Y.D. (2022), Comparing probabilistic economic order quantity and periodic order quantity model performance under lumpy demand environment, Management and Production Engineering Review, No. 4, Vol. 13, pp. 16-25, doi: 10.24425/mper.2022.142391.
  • Nurprihatin F., Jayadi E.L. and Tannady H. (2020), Comparing heuristic methods' performance for pure flow shop scheduling under certain and uncertain de mand, Management and Production Engineering Review, No. 2, Vol. 11, doi: 10.24425/mper.2020.133728.
  • Rizzitano J., Gravier M. and Visich J. (2021), Automation and distribution center labor effectiveness: A case study of operations company X, Bryant University.
  • Seyed Hosseini S.M., Shahanaghi K. and Shasfand S. (2021), Resistive maintenance and equipment criticality indexes, Nexo Revista Científica, No. 2, Vol. 34, pp. 744-758, doi: 10.5377/nexo.v34i02.11559.
  • The Council for Six Sigma Certification (2018). Lean six sigma black belt certification training manual.
  • Ulug'murodova N.B., and Rashidov A.U. (2022), Ways to increase the effectiveness of mechanisms for regulating the rural labor market, International Journal on Human Computing Studies, No. 1, Vol. 4, pp. 42-48.
  • Uluskan M. and Oda E.P. (2020), A thorough six sigma DMAIC application for household appliance manu facturing systems: Oven door-panel alignment case, The TQM Journal, No. 6, Vol. 32, pp. 1683-1714, doi: 10.1108/TQM-06-2019-0171.
  • Yadav N., Mathiyazhagan K. and Kumar K. (2019), Application of six sigma to minimize the defects in glass manufacturing industry: A case study, Journal of Advances in Management Research, No. 4, Vol. 16, pp. 594-624, doi: 10.1108/JAMR-11-2018-0102.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171669231

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