A lean approach to healthcare management using multi criteria decision making

被引:0
|
作者
Ramkrishna S. Bharsakade
Padmanava Acharya
L. Ganapathy
Manoj K. Tiwari
机构
[1] NITIE,
来源
OPSEARCH | 2021年 / 58卷
关键词
Lean wastes; MCDM; Fuzzy AHP; Healthcare; Waste prioritization;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:610 / 635
页数:25
相关论文
共 50 条
  • [1] A lean approach to healthcare management using multi criteria decision making
    Bharsakade, Ramkrishna S.
    Acharya, Padmanava
    Ganapathy, L.
    Tiwari, Manoj K.
    OPSEARCH, 2021, 58 (03) : 610 - 635
  • [2] Application of multi-criteria decision-making approach in healthcare surgical management
    Gardas, Bhaskar B.
    Ghongade, Nilesh P.
    Jagtap, Annasaheb H.
    JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2022, 29 (1-2) : 92 - 109
  • [3] Modeling enablers of knowledge management process using multi criteria decision making approach
    Agrawal, Nishant
    VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS, 2021, 51 (03) : 389 - 417
  • [4] A Lean Approach for Multi-criteria Decision-Making in Public Services' Strategy Deployment
    Santhiapillai, F. P.
    Ratnayake, R. M. Chandima
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT I, 2021, 630 : 656 - 664
  • [5] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
    Alsalem, M. A.
    Alamoodi, A. H.
    Albahri, O. S.
    Albahri, A. S.
    Martinez, Luis
    Yera, R.
    Duhaim, Ali M.
    Sharaf, Iman Mohamad
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 246
  • [6] Sustainable Reservoir Sedimentation Management Using Multi Criteria Decision Making
    Bahraei, Shahin
    Yazdandoost, Farhad
    PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS I AND II, 2013, : 6168 - 6179
  • [7] Hospital performance management: A multi-criteria decision-making approach
    Tyagi, Aman
    Singh, Preetvanti
    INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT, 2019, 12 (04) : 286 - 291
  • [8] Decision making for produced water management: an integrated multi-criteria approach
    Mofarrah, Abdullah
    Husain, Tahir
    Hawboldt, Kelly
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL TECHNOLOGY AND MANAGEMENT, 2013, 16 (1-2) : 102 - 128
  • [9] Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management
    Chang, Tsung-Han
    Wang, Tien-Chin
    INFORMATION SCIENCES, 2009, 179 (04) : 355 - 370
  • [10] Review fuzzy multi-criteria decision-making in construction management using a network approach
    Chen, Long
    Pan, Wei
    APPLIED SOFT COMPUTING, 2021, 102