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dc.contributor.authorSingh Kaswan, Mahender
dc.contributor.authorRathi, Rajeev
dc.contributor.authorSingh, Mahipal
dc.contributor.authorGarza-Reyes, Jose Arturo
dc.contributor.authorAntony, Jiju
dc.date.accessioned2021-06-18T15:39:19Z
dc.date.available2021-06-18T15:39:19Z
dc.date.issued2021-06-21
dc.identifier.citationKaswan, M.S., Rathi, R., Singh, M., Garza-Reyes, J.A., Antony, J. (2021). 'Exploration and Prioritization of Just in Time Enablers for Sustainable Healthcare: An Integrated GRA-Fuzzy TOPSIS Application'. World Journal of Engineering, pp. 1-47.en_US
dc.identifier.doi10.1108/WJE-09-2020-0414/full/html
dc.identifier.urihttp://hdl.handle.net/10545/625836
dc.description.abstractThe increased healthcare costs, improved service quality, and sustainability-oriented customer demand have forced the healthcare sector to relook their current process. The present work deals with the identification, analysis, and prioritization of Just in Time (JIT) enablers in the healthcare sector. JIT leads to waste reduction, improves productivity, and provides high quality patient care. The practical implementation of JIT depends on vital factors known as enablers. The enablers have been found through the comprehensive literature review and prioritized using responses from different healthcare facilities of national capital region of India. Grey Relational Analysis (GRA) has been used in the present study to rank enablers and ranks were further validated using fuzzy TOPSIS and sensitivity analysis. It has been found that top management support, teamwork, and real-time information sharing are the most significant enablers of JIT in healthcare with grey relational grades 0.956, 0.832, and 0.718, respectively. The corresponding closeness coefficients of the fuzzy TOPSIS for the enablers were found as 0.875, 0.802, and 0.688, respectively. The findings of the present research work will facilitate the healthcare organizations to implement a comprehensive JIT approach that further leads to improved patient care at low cost. The present study is unique in terms of the exploration of the readiness measures or enablers of JIT using GRA and fuzzy TOPSIS. The findings of the present research work will facilitate the healthcare organizations to optimize their resources for better patient care.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.relation.urlhttps://www.emerald.com/insight/content/doi/10.1108/WJE-09-2020-0414/full/htmlen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectJust in Timeen_US
dc.subjectEnablersen_US
dc.subjectHealthcareen_US
dc.subjectGrey relational analysisen_US
dc.subjectFuzzy TOPSISen_US
dc.titleExploration and Prioritization of Just in Time Enablers for Sustainable Healthcare: An Integrated GRA-Fuzzy TOPSIS Applicationen_US
dc.typeArticleen_US
dc.identifier.eissn1708-5284
dc.contributor.departmentLovely Professional University, Phagwara, Indiaen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.contributor.departmentHeriot-Watt University, Edinburghen_US
dc.identifier.journalWorld Journal of Engineeringen_US
dcterms.dateAccepted2021-04
refterms.dateFOA2021-06-18T15:39:19Z
dc.author.detail780891en_US


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