IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v249y2016i1p327-339.html
   My bibliography  Save this article

Use of a discrete-event simulation in a Kaizen event: A case study in healthcare

Author

Listed:
  • Baril, Chantal
  • Gascon, Viviane
  • Miller, Jonathan
  • Côté, Nadine

Abstract

To improve service delivery, healthcare facilities look toward operations research techniques, discrete event simulation and continuous improvement approaches such as Lean manufacturing. Lean management often includes a Kaizen event to facilitate the acceptance of the project by the employees. Business game is also used as a tool to increase understanding of Lean management concepts. In this paper, we study how a business game can be used jointly with discrete event simulation to test scenarios defined by team members during a Kaizen event. The aim is to allow a rapid and successful implementation of the solutions developed during the Kaizen. Our approach has been used to improve patients’ trajectory in an outpatient hematology–oncology clinic. Patient delays before receiving their treatment were reduced by 74 percent after 19 weeks.

Suggested Citation

  • Baril, Chantal & Gascon, Viviane & Miller, Jonathan & Côté, Nadine, 2016. "Use of a discrete-event simulation in a Kaizen event: A case study in healthcare," European Journal of Operational Research, Elsevier, vol. 249(1), pages 327-339.
    • Handle: RePEc:eee:ejores:v:249:y:2016:i:1:p:327-339
    DOI: 10.1016/j.ejor.2015.08.036
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221715007912
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2015.08.036?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. Reidar Hagtvedt & Paul Griffin & Pınar Keskinocak & Rebecca Roberts, 2009. "A Simulation Model to Compare Strategies for the Reduction of Health-Care--Associated Infections," Interfaces, INFORMS, vol. 39(3), pages 256-270, June.
    2. Pablo Santibáñez & Vincent Chow & John French & Martin Puterman & Scott Tyldesley, 2009. "Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation," Health Care Management Science, Springer, vol. 12(4), pages 392-407, December.
    3. Mohsen Jahangirian & Simon J E Taylor & Julie Eatock & Lampros K Stergioulas & Peter M Taylor, 2015. "Causal study of low stakeholder engagement in healthcare simulation projects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(3), pages 369-379, March.
    4. K Kotiadis & A A Tako & C Vasilakis, 2014. "A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(2), pages 197-213, February.
    5. Amy Lodge & David Bamford, 2008. "New Development: Using Lean Techniques to Reduce Radiology Waiting Times," Public Money & Management, Taylor & Francis Journals, vol. 28(1), pages 49-52, February.
    6. 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.
    7. Franco, L. Alberto & Montibeller, Gilberto, 2010. "Facilitated modelling in operational research," European Journal of Operational Research, Elsevier, vol. 205(3), pages 489-500, September.
    8. K Kotiadis & A A Tako & E A J A Rouwette & C Vasilakis & J Brennan & P Gandhi & H Wegstapel & F Sagias & P Webb, 2013. "Using a model of the performance measures in Soft Systems Methodology (SSM) to take action: a case study in health care," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(1), pages 125-137, January.
    9. Nathan Proudlove & Claire Moxham & Ruth Boaden, 2008. "Lessons for Lean in Healthcare from Using Six Sigma in the NHS," Public Money & Management, Taylor & Francis Journals, vol. 28(1), pages 27-34, February.
    10. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    11. J Bowers & M Ghattas & G Mould, 2012. "Exploring alternative routes to realising the benefits of simulation in healthcare," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(10), pages 1457-1466, October.
    12. N C Proudlove & S Black & A Fletcher, 2007. "OR and the challenge to improve the NHS: modelling for insight and improvement in in-patient flows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 145-158, February.
    13. Luciano Brandão de Souza & Michael Pidd, 2011. "Exploring the barriers to lean health care implementation," Public Money & Management, Taylor & Francis Journals, vol. 31(1), pages 59-66, January.
    14. Robinson, Stewart & Worthington, Claire & Burgess, Nicola & Radnor, Zoe J., 2014. "Facilitated modelling with discrete-event simulation: Reality or myth?," European Journal of Operational Research, Elsevier, vol. 234(1), pages 231-240.
    15. K Katsaliaki & S C Brailsford, 2007. "Using simulation to improve the blood supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 219-227, February.
    16. Tako, Antuela A. & Kotiadis, Kathy, 2015. "PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare," European Journal of Operational Research, Elsevier, vol. 244(2), pages 555-564.
    17. Thomas Rohleder & Peter Lewkonia & Diane Bischak & Paul Duffy & Rosa Hendijani, 2011. "Using simulation modeling to improve patient flow at an outpatient orthopedic clinic," Health Care Management Science, Springer, vol. 14(2), pages 135-145, June.
    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. 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.
    2. 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.
    3. Agnetis, Alessandro & Bianciardi, Caterina & Iasparra, Nicola, 2019. "Integrating lean thinking and mathematical optimization: A case study in appointment scheduling of hematological treatments," Operations Research Perspectives, Elsevier, vol. 6(C).
    4. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    5. 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.
    6. Sharon J. Williams & Zoe Radnor, 2018. "Using bandwidths to visualize and improve patient pathways," Public Money & Management, Taylor & Francis Journals, vol. 38(1), pages 21-28, January.
    7. Kotiadis, K. & Tako, A.A., 2018. "Facilitated post-model coding in discrete event simulation (DES): A case study in healthcare," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1120-1133.
    8. Guillaume Lamé & Oualid Jouini & Julie Stal-Le Cardinal, 2016. "Outpatient Chemotherapy Planning: a Literature Review with Insights from a Case Study," Post-Print hal-01324488, HAL.
    9. Proudlove, N.C. & Bisogno, S. & Onggo, B.S.S. & Calabrese, A. & Levialdi Ghiron, N., 2017. "Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage," European Journal of Operational Research, Elsevier, vol. 263(2), pages 583-595.
    10. Glasgow, Simon M. & Perkins, Zane B. & Tai, Nigel R.M. & Brohi, Karim & Vasilakis, Christos, 2018. "Development of a discrete event simulation model for evaluating strategies of red blood cell provision following mass casualty events," European Journal of Operational Research, Elsevier, vol. 270(1), pages 362-374.
    11. Giovanni Improta & Guido Guizzi & Carlo Ricciardi & Vincenzo Giordano & Alfonso Maria Ponsiglione & Giuseppe Converso & Maria Triassi, 2020. "Agile Six Sigma in Healthcare: Case Study at Santobono Pediatric Hospital," IJERPH, MDPI, vol. 17(3), pages 1-17, February.
    12. Sinem Buyuksaatci Kiris & Enes Eryarsoy & Selim Zaim & Dursun Delen, 2023. "An integrated approach for lean production using simulation and data envelopment analysis," Annals of Operations Research, Springer, vol. 320(2), pages 863-886, January.

    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. Proudlove, N.C. & Bisogno, S. & Onggo, B.S.S. & Calabrese, A. & Levialdi Ghiron, N., 2017. "Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage," European Journal of Operational Research, Elsevier, vol. 263(2), pages 583-595.
    2. Harper, Alison & Mustafee, Navonil & Yearworth, Mike, 2021. "Facets of trust in simulation studies," European Journal of Operational Research, Elsevier, vol. 289(1), pages 197-213.
    3. Kotiadis, K. & Tako, A.A., 2018. "Facilitated post-model coding in discrete event simulation (DES): A case study in healthcare," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1120-1133.
    4. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    5. Robinson, Stewart & Kotiadis, Kathy, 2016. "Can involving clients in simulation studies help them solve their future problems? A transfer of learning experimentAuthor-Name: Monks, Thomas," European Journal of Operational Research, Elsevier, vol. 249(3), pages 919-930.
    6. Chong Pan & Dali Zhang & Audrey Kon & Charity Wai & Woo Ang, 2015. "Patient flow improvement for an ophthalmic specialist outpatient clinic with aid of discrete event simulation and design of experiment," Health Care Management Science, Springer, vol. 18(2), pages 137-155, June.
    7. Alexandre de A. Gomes Júnior & Vanessa B. Schramm, 2022. "Problem Structuring Methods: A Review of Advances Over the Last Decade," Systemic Practice and Action Research, Springer, vol. 35(1), pages 55-88, February.
    8. 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.
    9. Zichong Lyu & Dirk Pons & Yilei Zhang & Zuzhen Ji, 2022. "Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics," Logistics, MDPI, vol. 6(2), pages 1-28, June.
    10. Tako, Antuela A. & Kotiadis, Kathy, 2015. "PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare," European Journal of Operational Research, Elsevier, vol. 244(2), pages 555-564.
    11. Monks, Thomas & Robinson, Stewart & Kotiadis, Kathy, 2014. "Learning from discrete-event simulation: Exploring the high involvement hypothesis," European Journal of Operational Research, Elsevier, vol. 235(1), pages 195-205.
    12. Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    13. Lane, David & Husemann, Elke & Holland, Darren & Khaled, Abdul, 2019. "Understanding foodborne transmission mechanisms for Norovirus: A study for the UK's Food Standards Agency," European Journal of Operational Research, Elsevier, vol. 275(2), pages 721-736.
    14. Yash Daultani & Atanu Chaudhuri & Sushil Kumar, 2015. "A Decade of Lean in Healthcare: Current State and Future Directions," Global Business Review, International Management Institute, vol. 16(6), pages 1082-1099, December.
    15. Guillaume Lamé & Oualid Jouini & Julie Stal-Le Cardinal, 2020. "Combining Soft Systems Methodology, Ethnographic Observation and Discrete-Event Simulation: A Case Study in Cancer Care," Post-Print hal-02095031, HAL.
    16. Nguyen, Le Khanh Ngan & Howick, Susan & Megiddo, Itamar, 2024. "A framework for conceptualising hybrid system dynamics and agent-based simulation models," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1153-1166.
    17. Mielczarek, Bożena, 2014. "Simulation modelling for contracting hospital emergency services at the regional level," European Journal of Operational Research, Elsevier, vol. 235(1), pages 287-299.
    18. Brian Zoll & Pratik J. Parikh & Jennie Gallimore & Stephen Harrell & Brian Burke, 2015. "Impact of Diabetes E-Consults on Outpatient Clinic Workflow," Medical Decision Making, , vol. 35(6), pages 745-757, August.
    19. Gogi, Anastasia & Tako, Antuela A. & Robinson, Stewart, 2016. "An experimental investigation into the role of simulation models in generating insights," European Journal of Operational Research, Elsevier, vol. 249(3), pages 931-944.
    20. Willoughby, Keith A. & Chan, Benjamin T.B. & Marques, Shauna, 2016. "Using simulation to test ideas for improving speech language pathology services," European Journal of Operational Research, Elsevier, vol. 252(2), pages 657-664.

    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:eee:ejores:v:249:y:2016:i:1:p:327-339. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.