COMBINING SIX SIGMA WITH LEAN PRODUCTION TO INCREASE THE PERFORMANCE LEVEL OF A MANUFACTURING SYSTEM

被引:0
|
作者
Aggogeri, Francesco [1 ]
Mazzola, Marco [1 ]
机构
[1] Univ Brescia, Dept Mech & Ind Engn, I-25123 Brescia, Italy
关键词
Six Sigma; Lean Production; DMAIC;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The application of innovative methodologies and problem solving methods to organize and manage manufacturing processes is essential to increase business performance of a company and satisfy customer demand. Specifically, combining Six Sigma quality with Lean Production speed empowers all companies to reach customer satisfaction through continuous improvement and reduction of non added value activities. The goal of this paper is to explain and show the power of Six Sigma and Lean production combination in a manufacturing company that realizes brass extruded and drawn pieces. Lean Six Sigma represents one of more dynamic and innovative program of management to improve quality of products and efficiency of manufacturing. This project focuses on the increase of customer satisfaction and savings by eliminating product defects and reducing scraps and non value added activities of the mechanical manufacturing stream. The authors implemented the DMAIC problem solving method applying different quality management and lean tools. The paper shows a complete roadmap in order to analyze and eliminate defect and waste causes, and improve the performance level of a manufacturing system. The obtained results highlight a reduction of Costs of Poor Quality by 20% and an increase of process cycle efficiency of 6%.
引用
收藏
页码:427 / 436
页数:10
相关论文
共 50 条
  • [41] The Implementation of Lean Six Sigma in A Book Manufacturing Company: A Case Study
    Deamonita, Amanda Intan Lady
    Pujiyanto, Eko
    Rosyidi, Cucuk Nur
    4TH INTERNATIONAL CONFERENCE ON INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING, 2019, 2097
  • [42] Parametric multi-level modeling of Lean Six Sigma
    Odeyinka, Olumide F.
    Ipinnimo, Oluwafemi
    Ogunwolu, Folorunso
    Journal of Engineering and Applied Science, 2024, 71 (01):
  • [43] Deploying Lean Six Sigma framework in an automotive component manufacturing organization
    Swarnakar, Vikas
    Vinodh, S.
    INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2016, 7 (03) : 267 - 293
  • [44] An innovative six sigma and lean manufacturing approach for environmental friendly shipyard
    Bilgili, L.
    Deli, D.
    Celebi, U. B.
    GREEN DESIGN, MATERIALS AND MANUFACTURING PROCESSES, 2013, : 263 - 268
  • [45] INTEGRATING LEAN MANUFACTURING AND SIX SIGMA BY MEANS OF AXIOMATIC DESIGN PRINCIPLES
    Jadeja, Siddharth B.
    Khandare, S. S.
    Batish, Ajay
    Patel, Dipak
    IMECE2008: PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, VOL 4, 2009, : 451 - 457
  • [46] Data Mart With Lean Six Sigma Concept for Performance Level Assessment in Knowledge Management Framework
    Sahno, Jevgeni
    Shevtshenko, Eduard
    Karaulova, Tatjana
    PROCEEDINGS OF THE 14TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2013), VOLS 1 AND 2, 2013, : 932 - 941
  • [47] An empirical investigation of the role of lean six sigma practices on quality performance in medical device manufacturing industry
    Sim, Choon Ling
    Li, Zeyun
    Chuah, Francis
    Lim, Yi Jin
    Sin, Kit Yeng
    INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2022, 13 (03) : 671 - 691
  • [48] Lean production, six sigma quality, TQM and company culture
    Dahlgaard, Jens J.
    Dahlgaard-Park, Su Mi
    TQM Magazine, 2006, 18 (03): : 263 - 281
  • [49] THE CONVERGENCE OF LEAN SIX SIGMA AND SEAM TO MAXIMIZE PERFORMANCE IN ORGANIZATIONS
    McKnight, Leslie L.
    DECODING THE SOCIO-ECONOMIC APPROACH TO MANAGEMENT: RESULTS OF THE SECOND SEAM CONFERENCE IN THE UNITED STATES, 2016, : 119 - 127
  • [50] Lean six sigma performance improvement tool for automotive suppliers
    Habidin, Nurul Fadly
    Salleh, Mad Ithnin
    Latip, Nor Azrin Md
    Azman, Mohamed Nor Azhari
    Fuzi, Nursyazwani Mohd
    JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2016, 33 (04) : 215 - 235