IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i2d10.1007_s13198-021-01316-3.html
   My bibliography  Save this article

Applying lean six sigma incorporated with big data analysis to curriculum system improvement in higher education institutions

Author

Listed:
  • Shang Shanshan

    (Shanghai International Studies University)

  • Lyv Wenfei

    (Shanghai International Studies University)

  • Luo Lijuan

    (Shanghai International Studies University)

Abstract

The purpose of this paper is to propose a method to improve the curriculum system in higher education institutions by taking use of the Lean Six Sigma (LSS) framework incorporated with big data analysis. The Lean Six Sigma Define-Measure-Analyze-Improve-Control methodology combined with text analysis, knowledge graph analysis and topology graph analysis are used. The proposed method can improve the curriculum system and better meet the talent market requirements, the technical requirements, and the social requirements. Little study uses the LSS framework and big data analysis to improvement the curriculum system. However, big data is an effective and efficient tool and is the trend to be used to help to make decision. This paper proposed the detailed improvement process using both LSS framework and big data analysis.

Suggested Citation

  • Shang Shanshan & Lyv Wenfei & Luo Lijuan, 2022. "Applying lean six sigma incorporated with big data analysis to curriculum system improvement in higher education institutions," 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. 13(2), pages 641-656, April.
  • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01316-3
    DOI: 10.1007/s13198-021-01316-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01316-3
    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/s13198-021-01316-3?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. Jing Lu & Chad Laux & Jiju Antony, 2017. "Lean Six Sigma leadership in higher education institutions," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 66(5), pages 638-650, June.
    2. Chad Laux & Na Li & Corey Seliger & John Springer, 2017. "Impacting Big Data analytics in higher education through Six Sigma techniques," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 66(5), pages 662-679, June.
    3. Andrew Thomas & Jiju Antony & Claire Haven-Tang & Mark Francis & Ron Fisher, 2017. "Implementing Lean Six Sigma into curriculum design and delivery – a case study in higher education," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 66(5), pages 577-597, June.
    4. Shivam Gupta & Sachin Modgil & Angappa Gunasekaran, 2020. "Big data in lean six sigma: a review and further research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 947-969, February.
    Full references (including those not matched with items on IDEAS)

    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. Andreas Kakouris & Eleni Sfakianaki & Marios Tsioufis, 2022. "Lean thinking in lean times for education," Annals of Operations Research, Springer, vol. 316(1), pages 657-697, September.
    2. Sengazhani Murugesan Vadivel & Aloysius Henry Sequeira & Robert Rajkumar Sakkariyas & Kirubaharan Boobalan, 2022. "Impact of lean service, workplace environment, and social practices on the operational performance of India post service industry," Annals of Operations Research, Springer, vol. 315(2), pages 2219-2244, August.
    3. Bueno, Adauto & Goyannes Gusmão Caiado, Rodrigo & Guedes de Oliveira, Thaís Lopes & Scavarda, Luiz Felipe & Filho, Moacir Godinho & Tortorella, Guilherme Luz, 2023. "Lean 4.0 implementation framework: Proposition using a multi-method research approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Leogrande, Angelo, 2021. "The Destruction of Price-Representativeness," MPRA Paper 111239, University Library of Munich, Germany.
    5. Marco Maciel-Monteon & Jorge Limon-Romero & Carlos Gastelum-Acosta & Yolanda Baez-Lopez & Diego Tlapa & Manuel Iván Rodríguez Borbón, 2020. "Improvement project in higher education institutions: A BPEP-based model," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-19, January.
    6. Shivam Gupta & Sachin Modgil & Piera Centobelli & Roberto Cerchione & Serena Strazzullo, 2022. "Additive Manufacturing and Green Information Systems as Technological Capabilities for Firm Performance," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 515-534, December.
    7. Fabiane Letícia Lizarelli & Jiju Antony & José Carlos Toledo, 2020. "Statistical thinking and its impact on operational performance in manufacturing companies: an empirical study," Annals of Operations Research, Springer, vol. 295(2), pages 923-950, December.
    8. J. Vicente Tébar-Rubio & F. Javier Ramírez & M. José Ruiz-Ortega, 2023. "Conducting Action Research to Improve Operational Efficiency in Manufacturing: The Case of a First-Tier Automotive Supplier," Systemic Practice and Action Research, Springer, vol. 36(3), pages 427-459, June.
    9. Diego Tlapa & Ignacio Franco-Alucano & Jorge Limon-Romero & Yolanda Baez-Lopez & Guilherme Tortorella, 2022. "Lean, Six Sigma, and Simulation: Evidence from Healthcare Interventions," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    10. Nitin S. Solke & Pritesh Shah & Ravi Sekhar & T. P. Singh, 2022. "Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 89-112, March.
    11. Diego Tlapa & Guilherme Tortorella & Flavio Fogliatto & Maneesh Kumar & Alejandro Mac Cawley & Roberto Vassolo & Luis Enberg & Yolanda Baez-Lopez, 2022. "Effects of Lean Interventions Supported by Digital Technologies on Healthcare Services: A Systematic Review," IJERPH, MDPI, vol. 19(15), pages 1-23, July.
    12. Mahmoudi, Fahimeh & Bagheri Majd, Rouhollah, 2021. "The effect of lean culture on the reduction of academic corruption by the mediating role of positive organizational politics in higher education," International Journal of Educational Development, Elsevier, vol. 80(C).
    13. Jorge L. García-Alcaraz & Liliana Avelar-Sosa & Juan I. Latorre-Biel & Emilio Jiménez-Macías & Giner Alor-Hernández, 2017. "Role of Human Knowledge and Communication on Operational Benefits Gained from Six Sigma," Sustainability, MDPI, vol. 9(10), pages 1-19, September.
    14. Sachin Modgil & Rohit Kumar Singh & Cyril Foropon, 2022. "Quality management in humanitarian operations and disaster relief management: a review and future research directions," Annals of Operations Research, Springer, vol. 319(1), pages 1045-1098, December.
    15. Aleksandar Đorđević & Yury Klochkov & Slavko Arsovski & Nikola Stefanović & Luiza Shamina & Aleksandar Pavlović, 2021. "The Impact of ICT Support and the EFQM Criteria on Sustainable Business Excellence in Higher Education Institutions," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    16. Margherita Bernabei & Marco Eugeni & Paolo Gaudenzi & Francesco Costantino, 2023. "Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 67-86, March.
    17. Koc, Kerim & Ekmekcioğlu, Ömer & Işık, Zeynep, 2023. "Developing a probabilistic decision-making model for reinforced sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 259(C).
    18. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
    19. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    20. Eva Nedeliakova & Maria Hudakova & Matej Masar & Lenka Lizbetinova & Renata Stasiak-Betlejewska & Peter Šulko, 2020. "Sustainability of Railway Undertaking Services with Lean Philosophy in Risk Management—Case Study," Sustainability, MDPI, vol. 12(13), pages 1-28, June.

    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:13:y:2022:i:2:d:10.1007_s13198-021-01316-3. 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.