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A lean approach to healthcare management using multi criteria decision making

Author

Listed:
  • Ramkrishna S. Bharsakade

    (NITIE)

  • Padmanava Acharya

    (NITIE)

  • L. Ganapathy

    (NITIE)

  • Manoj K. Tiwari

    (NITIE)

Abstract

Recent challenges induced by the global pandemic COVID-19 have highlighted the critical importance of coping with a sudden surge in demand for front line healthcare services. Motivated by the success of lean implementation in manufacturing systems, this study attempts to apply the lean principles in healthcare delivery environments. The lean approach begins with the identification of seven types of wastes in any production or service system. This study attempts to identify and prioritize the present in hospitals. The study contributes to the existing body of knowledge in two ways. First, we identify the various sources contributing to the seven basic wastes in healthcare delivery. Second, we prioritize the seven types of wastes and the dimensions contributing to these wastes using a Multi-Criteria Decision Making (MCDM). This paper used the fuzzy analytical hierarchy process approach, which is a well-accepted tool in MCDM. The study was conducted at select hospitals located in and around Pune city in India. We find that waiting, transportation, motion, and defects are dominant in adopting lean practices among the seven wastes. The findings of this study may guide hospital management in strategic planning in adopting a lean healthcare process. To our knowledge, this is one of the first studies to extract, and prioritise lean wastes within the context of the healthcare sector.

Suggested Citation

  • Ramkrishna S. Bharsakade & Padmanava Acharya & L. Ganapathy & Manoj K. Tiwari, 2021. "A lean approach to healthcare management using multi criteria decision making," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 610-635, September.
    • Handle: RePEc:spr:opsear:v:58:y:2021:i:3:d:10.1007_s12597-020-00490-5
    DOI: 10.1007/s12597-020-00490-5
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    References listed on IDEAS

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    1. Manoj Kumar Singh & Harish Kumar & M. P. Gupta & Jitendra Madaan, 2018. "Analyzing the Determinants Affecting the Industrial Competitiveness of Electronics Manufacturing in India by Using TISM and AHP," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 191-207, September.
    2. Robinson, Stewart & Radnor, Zoe J. & Burgess, Nicola & Worthington, Claire, 2012. "SimLean: Utilising simulation in the implementation of lean in healthcare," European Journal of Operational Research, Elsevier, vol. 219(1), pages 188-197.
    3. Kajal Chatterjee & Sheikh Ahmed Hossain & Samarjit Kar, 2018. "Prioritization of project proposals in portfolio management using fuzzy AHP," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 478-501, June.
    4. Esha Saha & Pradip Kumar Ray, 2019. "Modelling and analysis of healthcare inventory management systems," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1179-1198, December.
    5. Amir Abbas Shojaie & Sepideh Babaie & Emel Sayah & Davood Mohammaditabar, 2018. "Analysis and Prioritization of Green Health Suppliers Using Fuzzy ELECTRE Method with a Case Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 39-52, March.
    6. Calabrese, Armando & Costa, Roberta & Levialdi, Nathan & Menichini, Tamara, 2019. "Integrating sustainability into strategic decision-making: A fuzzy AHP method for the selection of relevant sustainability issues," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 155-168.
    7. Loh, Hui Shan & Yuen, Kum Fai & Wang, Xueqin & Surucu-Balci, Ebru & Balci, Gökcay & Zhou, Qingji, 2020. "Airport selection criteria of low-cost carriers: A fuzzy analytical hierarchy process," Journal of Air Transport Management, Elsevier, vol. 83(C).
    8. Radnor, Zoe J. & Holweg, Matthias & Waring, Justin, 2012. "Lean in healthcare: The unfilled promise?," Social Science & Medicine, Elsevier, vol. 74(3), pages 364-371.
    9. Pradeep Kumar & Sasadhar Bera & Tanusree Dutta & Shibashish Chakraborty, 2018. "Auxiliary Flexibility in Healthcare Delivery System: An Integrative Framework and Implications," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(2), pages 173-186, June.
    10. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    11. Vinayak Vishwakarma & Chandra Prakash Garg & Mukesh Kumar Barua, 2019. "Modelling the barriers of Indian pharmaceutical supply chain using fuzzy AHP," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 34(2), pages 240-268.
    12. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    13. Babak Daneshvar Rouyendegh & Asil Oztekin & Joseph Ekong & Ali Dag, 2019. "Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach," Annals of Operations Research, Springer, vol. 278(1), pages 361-378, July.
    14. Zoe Radnor & Ruth Boaden, 2008. "Editorial: Lean in Public Services—Panacea or Paradox?," Public Money & Management, Taylor & Francis Journals, vol. 28(1), pages 3-7, February.
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    Cited by:

    1. C. R. Vishnu & E. N. Anilkumar & R. Sridharan & P. N. Ram Kumar, 2023. "Statistical characterization of managerial risk factors: a case of state-run hospitals in India," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 812-834, June.
    2. Silvia Carpitella & Ilyas Mzougui & Joaquín Izquierdo, 2022. "Multi-criteria risk classification to enhance complex supply networks performance," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 769-785, September.

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