نوع مقاله : مفهومی
نویسنده
عضو هیات علمی گروه مدیریت سیستم، دانشکده مدیریت و اقتصاد، دانشگاه جامع امام حسین
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
The purpose of this study is to present a local strategy in the field of maintenance and explain its various dimensions and components, taking into account the successful global experiences, special considerations and requirements governing Iran's economic and industrial ecosystem, resistive economy policies, indigenous culture, indigenous moral values, and maintenance issues. The statistical population of this study consists of the experts in the field of maintenance and repairs in the country.The sampling is performed in a targeted manner and to the extent of achieving theoretical saturation, which is obtained through interviews with twenty experts. The collected data are analysed using the data-based method and their open, axial and selective codes are extracted at each stage. The final research model consists of seventeen main themes in four areas of soft strategy infrastructure, technical foundations, manpower continuity and appropriate support. The research findings are used in a military organization and the results are briefly reported in the form of a research action.
کلیدواژهها [English]
مؤلفههای شکستناپذیری،" مدیریت تولید و عملیات، شماره11 (3)، صص. 73-94، ##1399.
امیر پاشایی هولاسو، "ارائه مدل نگهداری و تعمیرات انقلابی در نیروهای مسلح مبتنیبر دیدگاههای حضرت امام خامنهای (مدظلهالعالی)،" پژوهش در مهندسی نگهداشت دفاعی، شماره4، صص 24-40، 1399##.
[10] S. Gupta, J. Maiti, R. Kumar, and U. Kumar, “A control chart guided maintenance policy selection,” International Journal of Mining, Reclamation and Environment, vol. 23, pp. 212-226, 2009.##
[11] J. Taylor, and M. Patankar, “Four generations of maintenance resource management programs in the United States: an analysis the past, present and future,” Journal of Air Transportation World Wide, vol. 6, pp. 3-32, 2001.##
[12] L. Manickam, “Proposal for fourth generation of maintenance and the futuretrends and challenges in production,” Master Thesis Work, Malardelen university, Sweden. pp. 50-60, 2012.##
[13] A. Jardine, D. Lin, and D. Banjevic, “A review on machinery diagnostics and prognostics implementing condition-based maintenance,” Mechanical Systems and Signal Processing, vol. 20, pp. 1483–1510, 2006.##
[14] M. Carmen Moya, “the control of the setting up of a predictive maintenance programme using a system of indicators,” Omega, vol. 32, pp. 57-75, 2004.##
[15] M. Prabhuswamy, P. Nagesh, and K. Ravikumar, “Statistical Analysis and Reliability Estimation of Total Productive Maintenance,” IUP Journal of Operations Management. Rochester, pp. 7-20, 2013.##
[16] L. Afefy, “Reliability-Centered Maintenance Methodology and Application: A Case Study,” Engineering, vol. 2, pp. 863-873, 2010.##
[17] R. M. A. Velásquez and J. V. M. Lara, “Root cause analysis improved with machine learning for failure analysis in power transformers,” Engineering Failure Analysis, vol.115, pp. 104684, 2020.##
[18] W. Shengna, Y. Jun, P. Rui, and Z. Qingqing, “Optimal design of facility allocation and maintenance strategy for a cellular network,” Reliability Engineering & System Safety, vol. 205, pp. 107253, 2021.##
[19] W. Jinkai, G. Daochuan, C. Shanqi, W. Zhen, G. Dingqing, X. Zhixin, W. Jin, and W. Fang, “Maintenance strategy design for nuclear reactors safety systems using a constraint particle swarm evolutionary methodology,” Annals of Nuclear Energy, vol. 150, p. 107878, 2021.##
[20] D. Gianpaolo, C. Vittorio, and G. Tommaso, “Implementation of Industry 4.0 technology: New opportunities and challenges for maintenance strategy,” Procedia Computer Science, vol. 180, pp. 424-429, 2021.##