IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v8y2017i2d10.1007_s13198-017-0669-6.html
   My bibliography  Save this article

Manufacturing wastes analysis in lean environment: an integrated ISM-fuzzy MICMAC approach

Author

Listed:
  • Lakhan Patidar

    (Maulana Azad National Institute of Technology)

  • Vimlesh Kumar Soni

    (Maulana Azad National Institute of Technology)

  • Pradeep Kumar Soni

    (Maulana Azad National Institute of Technology)

Abstract

Value stream mapping (VSM) is an important improvement initiative in the lean environment that can be used to boost manufacturing performance by eliminating wastes (Ws). In this study, authors have identified manufacturing related critical wastes for enhancing the manufacturing competitiveness with the help of industry experts and literature. For the effective VSM implementation, these wastes have categorised into three groups named as; seven deadly waste; knowledge waste and administrative waste. The goal of present work is to understand the mutual interaction between these wastes and to identify the ‘driving wastes’ (i.e. which influence the other wastes) and the ‘dependent wastes’ (i.e. which are influenced by others). The research theme has divided into three segments; (1) identified the wastes from literature and industry experts, and conducted interviews with experts through a questionnaire in the form of waste relationship matrix (2) prepared an ISM based framework and finally, (3) cluster analysis has done through fuzzy MICMAC. Interpretive structural modeling has been used to analyse the relationships among these manufacturing wastes. Fuzzy MICMAC (cross-impact matrix multiplication applied to classification) has been used to find out driving and the dependence power of identified waste. To determine the driving and the dependence power of various wastes the final results of interpretive structural modeling are used as input to the fuzzy MICMAC analysis. The finding of this study reveals that overproduction (W4) and unclear customer (W11) are a matter of concern and need maximum attention for enhancing manufacturing performance. The enterprises and the decision-makers can be benefited from this model to identify which manufacturing wastes are performing as the most deleterious.

Suggested Citation

  • Lakhan Patidar & Vimlesh Kumar Soni & Pradeep Kumar Soni, 2017. "Manufacturing wastes analysis in lean environment: an integrated ISM-fuzzy MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1783-1809, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0669-6
    DOI: 10.1007/s13198-017-0669-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-017-0669-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-017-0669-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. V.G. Venkatesh & Ratna Paluri & Sonali Bhattacharya, 2016. "Sustenance of Indian apparel manufacturing industry in post MFA period - a strategic analysis," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 6(3), pages 343-365.
    2. Vishal Ashok Bhosale & Ravi Kant, 2016. "An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7374-7399, December.
    3. Bernardo Villarreal, 2012. "The transportation value stream map (TVSM)," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 6(2), pages 216-233.
    4. Herron, Colin & Braiden, Paul M., 2006. "A methodology for developing sustainable quantifiable productivity improvement in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 104(1), pages 143-153, November.
    5. Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2016. "Identification and analysis of barriers in implementation of solar energy in Indian rural sector using integrated ISM and fuzzy MICMAC approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 70-88.
    6. Sainath Gopinath & Theodor Freiheit, 2012. "A waste relationship model and center point tracking metric for lean manufacturing systems," IISE Transactions, Taylor & Francis Journals, vol. 44(2), pages 136-154.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. M. Suresh & G. Mahadevan & R. Dev Abhishek, 2019. "Modelling the factors influencing the service quality in supermarkets," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1474-1486, December.
    2. Vineet Jain & Puneeta Ajmera, 2019. "Modelling of the factors affecting lean implementation in healthcare using structural equation modelling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 563-575, August.
    3. Videsh Desingh & Baskaran R, 2022. "Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 318-351, January.
    4. Lusia Permata Sari Hartanti & Ivan Gunawan & Ig. Jaka Mulyana & Herwinarso Herwinarso, 2022. "Identification of Waste Based on Lean Principles as the Way towards Sustainability of a Higher Education Institution: A Case Study from Indonesia," Sustainability, MDPI, vol. 14(7), pages 1-18, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frate, Claudio Albuquerque & Brannstrom, Christian, 2017. "Stakeholder subjectivities regarding barriers and drivers to the introduction of utility-scale solar photovoltaic power in Brazil," Energy Policy, Elsevier, vol. 111(C), pages 346-352.
    2. Miro Hegedić & Mihael Gudlin & Matija Golec & Nataša Tošanović, 2024. "Lean and Green Decision Model for Lean Tools Selection," Sustainability, MDPI, vol. 16(3), pages 1-34, January.
    3. Juanicó, Luis E. & Di Lalla, Nicolás & González, Alejandro D., 2017. "Full thermal-hydraulic and solar modeling to study low-cost solar collectors based on a single long LDPE hose," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 187-195.
    4. Han, Qingye & Zhu, Yuming & Ke, Ginger Y. & Hipel, Keith W., 2019. "Public private partnership in brownfield remediation projects in China: Identification and structure analysis of risks," Land Use Policy, Elsevier, vol. 84(C), pages 87-104.
    5. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    6. Tan Ching Ng & Morteza Ghobakhloo, 2018. "What Determines Lean Manufacturing Implementation? A CB-SEM Model," Economies, MDPI, vol. 6(1), pages 1-11, February.
    7. Jafarian, Ahmad & Rabiee, Meysam & Tavana, Madjid, 2020. "A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties," International Journal of Production Economics, Elsevier, vol. 228(C).
    8. Vallecha, Harshit & Bhattacharjee, Debraj & Osiri, John Kalu & Bhola, Prabha, 2021. "Evaluation of barriers and enablers through integrative multicriteria decision mapping: Developing sustainable community energy in Indian context," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    9. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    10. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).
    11. Wen-Kuo Chen & Venkateswarlu Nalluri & Man-Li Lin & Ching-Torng Lin, 2021. "Identifying Decisive Socio-Political Sustainability Barriers in the Supply Chain of Banking Sector in India: Causality Analysis Using ISM and MICMAC," Mathematics, MDPI, vol. 9(3), pages 1-23, January.
    12. Nihit Goyal, 2021. "Limited Demand or Unreliable Supply? A Bibliometric Review and Computational Text Analysis of Research on Energy Policy in India," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    13. Amin Vafadarnikjoo & Hadi Badri Ahmadi & Benjamin Thomas Hazen & James J. H. Liou, 2020. "Understanding Interdependencies among Social Sustainability Evaluation Criteria in an Emerging Economy," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    14. Zeng, Bing & Fahad, Shah & Bai, Dongbei & Zhang, Jisheng & Işık, Cem, 2023. "Assessing the sustainability of natural resources using the five forces and value chain combined models: The influence of solar energy development," Resources Policy, Elsevier, vol. 86(PA).
    15. Mondal, Jalaluddin & Chakrabarti, Somnath, 2021. "Insights and anatomy of brand experience in app-based retailing (eRBX): Critical play of physical evidence and enjoyment," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    16. Amit Kumar Gupta & Harshit Goyal, 2021. "Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach," Information Technology and Management, Springer, vol. 22(3), pages 207-229, September.
    17. Rakeshkumar Mahto & Deepak Sharma & Reshma John & Chandrasekhar Putcha, 2021. "Agrivoltaics: A Climate-Smart Agriculture Approach for Indian Farmers," Land, MDPI, vol. 10(11), pages 1-28, November.
    18. Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2017. "Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 496-511.
    19. Hasan Mahmud & Joyashree Roy, 2021. "Barriers to Overcome in Accelerating Renewable Energy Penetration in Bangladesh," Sustainability, MDPI, vol. 13(14), pages 1-28, July.
    20. Abhishek Behl & Pankaj Dutta & Stefan Lessmann & Yogesh K. Dwivedi & Samarjit Kar, 2019. "A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 285-318, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0669-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.