Developing an instrument to measure lean manufacturing maturity and its relationship with operational performance

被引:48
|
作者
Bento, Graziela dos Santos [1 ]
Tontini, Gerson [1 ,2 ]
机构
[1] Reg Univ Blumenau FURB, Dept Business Management, Blumenau, Brazil
[2] West Santa Catarina State Univ UNOESC, Chapeco, Brazil
关键词
maturity model; lean manufacturing; Toyota principles; operational performance; CRITICAL SUCCESS FACTORS; MANAGEMENT-PRACTICES; IMPLEMENTATION; QUALITY; BUNDLES; SYSTEM; IMPACT;
D O I
10.1080/14783363.2018.1486537
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper proposes an instrument to evaluate the maturity of lean manufacturing, and to examine the relationship between lean manufacturing maturity and operational performance. The research instrument examines companies' maturity on eight dimensions, composed of 38 lean practices, based on Toyota's 14 management principles. The instrument was applied to 90 manufacturing companies located in Santa Catarina State, Brazil. The results confirm that maturity can explain 49.9% of the variance of researched companies' operational performance (R-Adj(2)=0.499). The present study contributes to the expansion of scientific research in the fields of lean production and maturity of organisations, bringing managerial contributions by providing an instrument for self-evaluation of lean manufacturing maturity.
引用
收藏
页码:977 / 995
页数:19
相关论文
共 50 条
  • [1] Relationship Between Lean Production and Operational Performance in the Manufacturing Industry
    Rasi, Raja Zuraidah R. M.
    Rakiman, Umol Syamsyul
    Bin Ahmad, Md Fauzi
    [J]. 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING, OPTIMIZATION, INDUSTRIAL AND MATERIAL ENGINEERING (MOIME 2015), 2015, 83
  • [2] From waste to worth: a mediation analysis of lean manufacturing and operational performance in developing country
    Bashar, Abul
    Hasin, Ahsan Akhtar
    Ray, Samrat
    Sakib, Md. Nazmus
    Rahman, Md. Mahbubur
    Bashar, Nabila Binta
    [J]. TQM JOURNAL, 2024,
  • [3] The complementary effect of lean manufacturing and digitalisation on operational performance
    Buer, Sven-Vegard
    Semini, Marco
    Strandhagen, Jan Ola
    Sgarbossa, Fabio
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2021, 59 (07) : 1976 - 1992
  • [4] The unique and complementary effects of manufacturing technologies and lean practices on manufacturing operational performance
    Khanchanapong, Teerasak
    Prajogo, Daniel
    Sohal, Amrik S.
    Cooper, Brian K.
    Yeung, Andy C. L.
    Cheng, T. C. E.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 153 : 191 - 203
  • [5] The impact of lean methods and tools on the operational performance of manufacturing organisations
    Belekoukias, Ioannis
    Garza-Reyes, Jose Arturo
    Kumar, Vikas
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2014, 52 (18) : 5346 - 5366
  • [6] THE EFFECTIVENESS OF LEAN MANUFACTURING AUDITS IN MEASURING OPERATIONAL PERFORMANCE IMPROVEMENTS
    Taggart, P.
    Kienhoefer, F.
    [J]. SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, 2013, 24 (02): : 140 - 154
  • [7] A hierarchical complementary Lean-Green model and its impact on operational performance of manufacturing organisations
    Machingura, Tinotenda
    Adetunji, Olufemi
    Maware, Catherine
    [J]. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2024, 41 (02) : 425 - 446
  • [8] Lean manufacturing implementation in Zimbabwean industries: Impact on operational performance
    Maware, Catherine
    Adetunji, Olufemi
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, 2019, 11
  • [9] Investigating the Relationship Between Lean Production and Operational Performance
    Rasi, Raja Zuraidah R. M.
    Rakiman, Umol S.
    Ahmad, M. F.
    [J]. ADVANCED SCIENCE LETTERS, 2015, 21 (12) : 3726 - 3730
  • [10] Lean manufacturing and operational performance Interrelationships between human-related lean practices
    Carlos Hernandez-Matias, Juan
    Ocampo, Jared R.
    Hidalgo, Antonio
    Vizan, Antonio
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2020, 31 (02) : 217 - 235