Development and validation of a FMEA-based medical equipment maintenance framework using Industry 4.0

被引:0
|
作者
Gandhare, Shirish [1 ]
Kumar, Pramod [1 ]
Madankar, Tarachand [2 ]
Singh, Dharmendra [3 ]
Bhamu, Jaiprakash [3 ]
机构
[1] Vivekananda Global Univ, Dept Mech Engn, Jaipur, India
[2] RCOEM, Nagpur, India
[3] Engn Coll Bikaner, Dept Mech Engn, Bikaner, India
关键词
Medical equipment; Maintenance framework; Industry; 4.0; Automation; Preventive maintenance; Failure mode effect analysis; MANAGEMENT; PRIORITIZATION;
D O I
10.1108/IJQRM-07-2024-0246
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis research develops a comprehensive framework to enhance the functionality of medical equipment in hospitals, focusing on disease diagnosis contexts. By leveraging failure mode and effects analysis (FMEA) and Industry 4.0 tools, it aims to optimize healthcare services and patient treatment outcomes, particularly during crises like pandemics.Design/methodology/approachAdopting a mixed-methods approach, the research integrates Industry 4.0 and automation principles to develop and validate the framework. Utilizing a four-year failure database analyzed with R Programming, it implements preventive maintenance strategies such as the Preventive Maintenance Management System (PMMS) with FMEA. FMEA is implemented to systematically identify, assess and prioritize failure modes, enabling targeted mitigation strategies and improving equipment reliability. The framework is validated through empirical analysis and case studies, assessing operational efficiency, equipment importance and societal impact, with recommendations for future research on advanced maintenance methodologies.FindingsThe framework significantly reduces equipment failure rates (FR) and mean time to repair (MTTR), enhancing maintenance efficiency. Downtime decreases, especially for critical medical equipment like life-saving and diagnostic devices, resulting in a remarkable 95% increase in maintenance efficiency. The framework prioritizes and optimizes interventions for vital equipment, ultimately improving patient care and healthcare services.Practical implicationsThe research presents a practical framework for enhancing medical equipment maintenance in Indian hospitals, particularly during disease diagnosis. Leveraging automation technologies, it reduces equipment failure risks, ensuring operational continuity even during pandemics. Improvements in diagnostic accuracy directly benefit patient care, with recommendations aimed at further advancing maintenance methodologies and enhancing healthcare delivery.Originality/valueThe research develops and validates the framework, employing FMEA to identify critical failures and integrating automation (Industry 4.0) to prioritize maintenance tasks. Post-implementation outcomes validate significant improvement, addressing existing gaps in medical equipment maintenance practices. This contributes to optimizing healthcare services and patient outcomes, particularly during critical disease diagnosis scenarios.
引用
收藏
页数:41
相关论文
共 50 条
  • [41] Development of a digital maturity model for Industry 4.0 based on the technology-organization-environment framework
    Senna, Pedro P.
    Barros, Ana C.
    Roca, Jaime Bonnin
    Azevedo, Americo
    COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 185
  • [42] IoT Based Predictive Maintenance Management of Medical Equipment
    Shamayleh, Abdulrahim
    Awad, Mahmoud
    Farhat, Jumana
    JOURNAL OF MEDICAL SYSTEMS, 2020, 44 (04)
  • [43] IoT Based Predictive Maintenance Management of Medical Equipment
    Abdulrahim Shamayleh
    Mahmoud Awad
    Jumana Farhat
    Journal of Medical Systems, 2020, 44
  • [44] Model-based Validation and Testing of industry 4.0 plants
    Glock, Thomas
    Sillman, Bjoern
    Kobold, Max
    Rebmann, Sebatian
    Sax, Eric
    12TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON2018), 2018, : 15 - 22
  • [45] Framework Proposal Including HFE in Product Development Process: A Suitable Approach for the Brazilian Medical Equipment Industry
    Almeida, Ana Paula
    Almeida, Rodrigo
    Custodio, Renata
    Trzesniak, Clarissa
    Mello, Carlos
    ADVANCES IN HUMAN FACTORS AND ERGONOMICS IN HEALTHCARE, 2017, 482 : 261 - 273
  • [46] Design and Development of a Computerized Maintenance Management System for Medical Equipment
    Vitale, Alejandro
    Antunez, Sergio
    ADVANCES IN BIOENGINEERING AND CLINICAL ENGINEERING, VOL 2, SABI 2023, 2024, 114 : 171 - 178
  • [47] Evaluation of current level for Industry 4.0 adoption among milk plant using Industry 4.0 maturity framework
    Singh, Paramjeet
    Vardhan, Sachit
    Singh, Sarbjeet
    INTERNATIONAL JOURNAL OF INDIAN CULTURE AND BUSINESS MANAGEMENT, 2024, 31 (02)
  • [48] Data-based model maintenance in the era of industry 4.0: A methodology
    Dreyfus, Paul-Arthur
    Pelissier, Antoine
    Psarommatis, Foivos
    Kiritsis, Dimitris
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 63 : 304 - 316
  • [49] A pattern-based decision framework in the era of Industry 4.0
    Shin, Wan Seon
    Seok Lee, Yong
    Dahlgaard, Jens J.
    TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2019, 30 : S158 - S181
  • [50] Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers
    Birkel, Hendrik S.
    Veile, Johannes W.
    Mueller, Julian M.
    Hartmann, Evi
    Voigt, Kai-Ingo
    SUSTAINABILITY, 2019, 11 (02)