Implementing Lean Manufacturing System: ISM Approach

被引:39
|
作者
Kumar, Naveen [2 ]
Kumar, Sanjay [1 ]
Haleem, Abid [2 ]
Gahlot, Pardeep [3 ]
机构
[1] Bhagwan Parsuram Coll Engn, Delhi, India
[2] Jamia Millia Islamia, New Delhi, India
[3] Maharishi Dyanand Univ, Rohtak, Haryana, India
来源
JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM | 2013年 / 6卷 / 04期
关键词
Interpretive Structural Modeling( ISM); Lean Manufacturing System;
D O I
10.3926/jiem.508
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose: Lean Manufacturing System has emerged as an important area of research in Indian context. The requirement of Lean Manufacturing has increased due to defects in products (semi finished and finished) and subsequent increase in cost. In this context, this study is an attempt to develop a structural model of the variables, important to implement Lean Manufacturing System in Indian automobile industry. Design/Methodology/Approach: Various variables of lean manufacturing system implementation have been identified from literature review and experts' opinions. Contextual relationship among these identified variables has been set after carrying out brainstorming session. Further, classification of the variables has been carried out based upon the driving power and dependence. In addition to this, a structural model of variables to implement lean concept in Indian automobile industry has also been developed using Interpretive Structural Modeling (ISM) technique. Questionnaire based survey has also been conducted to rank these variables. Findings: Eighteen variables have been identified from the literature and subsequent discussions with experts. Out of which, nine variables have been identified as dependent and nine variables have been identified as driver. No variable has been identified as linkage variable and autonomous variable. From the model developed, 'Relative cost benefits' has been identified as top level dependent variable and top management commitment as bottom level most independent variable. Research limitations/implications: The model so developed is a hypothetical model based upon experts' opinions. The conclusions so drawn may be further modified to apply in real situation. Practical implication: Clear understanding of interactions among these variables will help organizations to prioritize and manage these variables more effectively and efficiently to draw advantage from lean manufacturing system implementation. Originality/value: Through this paper we contribute to identify the variables to implement lean manufacturing system in Indian automobile industry and prioritize them. The structured model developed will help to understand interdependence of the variables of lean manufacturing system implementation.
引用
收藏
页码:996 / 1012
页数:17
相关论文
共 50 条
  • [21] Implementing lean manufacturing with cellular layout: a case study
    Pattanaik, L. N.
    Sharma, B. P.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2009, 42 (7-8): : 772 - 779
  • [22] Implementing lean manufacturing with cellular layout: a case study
    L. N. Pattanaik
    B. P. Sharma
    The International Journal of Advanced Manufacturing Technology, 2009, 42 : 772 - 779
  • [23] Designing and implementing lean manufacturing at JohnDeere Dubuque Works
    Ford, BC
    TECHNICAL MANAGEMENT: KEY TO ENTERPRISE SUCCESS IN THE 21ST CENTURY, 2000, : 381 - 390
  • [24] Implementing Lean Tools in the Manufacturing Process of Trimmings Products
    Neves, P.
    Silva, F. J. G.
    Ferreira, L. P.
    Pereira, T.
    Gouveia, A.
    Pimentel, C.
    28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY, 2018, 17 : 696 - 704
  • [25] Development of lean enterprise implementation methodology: an ISM approach
    Jasti, Naga Vamsi Krishna
    Kota, Srinivas
    TQM JOURNAL, 2021, 33 (02): : 315 - 337
  • [26] Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach
    Gupta, Amit Kumar
    Goyal, Harshit
    INFORMATION TECHNOLOGY & MANAGEMENT, 2021, 22 (03): : 207 - 229
  • [27] Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach
    Amit Kumar Gupta
    Harshit Goyal
    Information Technology and Management, 2021, 22 : 207 - 229
  • [28] Internet of things and simulation approach for decision support system in lean manufacturing
    Ito, Teruaki
    Abd Rahman, Mohd Soufhwee
    Mohamad, Effendi
    Abd Rahman, Azrul Azwan
    Salleh, Mohd Rizal
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2020, 14 (02)
  • [29] Implementation of lean principles in the yarn manufacturing industry: a system dynamics approach
    Narassima, M. S.
    Aashrith, V.
    Ronald, C. Aldo
    Anbuudayasankar, S. P.
    Thenarasu, M.
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2025, 32 (01) : 222 - 240
  • [30] Implementing lean manufacturing in high-mix production environment
    Center for Advanced Manufacturing Technologies , Institute of Production Engineering and Automation, Wroclaw University of Technology, ul. Lukasiewicza 5, Wroclaw
    50-370, Poland
    IFIP Advances in Information and Communication Technology, 2008, (257-267)