Jin Xiaoning, Weiss Brian A, Siegel David, Lee Jay
Department of Mechanical and Industrial Engineering, Northeastern University, MA, 02115, USA.
National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
Int J Progn Health Manag. 2016;7(Spec Iss on Smart Manufacturing PHM):012.
The goals of this paper are to 1) examine the current practices of diagnostics, prognostics, and maintenance employed by United States (U.S.) manufacturers to achieve productivity and quality targets and 2) to understand the present level of maintenance technologies and strategies that are being incorporated into these practices. A study is performed to contrast the impact of various industry-specific factors on the effectiveness and profitability of the implementation of prognostics and health management technologies, and maintenance strategies using both surveys and case studies on a sample of U.S. manufacturing firms ranging from small to mid-sized enterprises (SMEs) to large-sized manufacturing enterprises in various industries. The results obtained provide important insights on the different impacts of specific factors on the successful adoption of these technologies between SMEs and large manufacturing enterprises. The varying degrees of success with respect to current maintenance programs highlight the opportunity for larger manufacturers to improve maintenance practices and consider the use of advanced prognostics and health management (PHM) technology. This paper also provides the existing gaps, barriers, future trends, and roadmaps for manufacturing PHM technology and maintenance strategy.
1)研究美国制造商为实现生产率和质量目标而采用的诊断、预测和维护的当前做法;2)了解目前纳入这些做法的维护技术和策略水平。开展了一项研究,通过对美国不同行业从小型到中型企业(SME)再到大型制造企业的样本进行调查和案例研究,对比各种特定行业因素对预测与健康管理技术实施的有效性和盈利能力以及维护策略的影响。所获得的结果为特定因素对中小企业和大型制造企业成功采用这些技术的不同影响提供了重要见解。当前维护计划的不同成功程度凸显了大型制造商改进维护做法并考虑使用先进预测与健康管理(PHM)技术的机会。本文还给出了制造PHM技术和维护策略的现有差距、障碍、未来趋势及路线图。