Equipment reliability and maintenance

制造业、采矿业、公用事业或加工业等组织维护和更换其实物资产的成本占其年度运营预算的很大一部分。例如，在采矿业中，维护预算可能超过年度运营成本的50%。在制造业中，总制造成本的15%至40%与维护有关。拟议的研究计划的总体目标是继续调查使用定量程序，以提高工厂和设备的维护，更换和可靠性决策。以前由NSERC研究补助金资助的工作集中在基于状态的维护（CBM）上，在决定是否需要预防性维护时考虑设备的实际状况。这项研究在1995年推动了多伦多大学的CBM实验室的“分拆”，从那时起，该实验室已经获得了超过300万美元的私人和公共资金的支持，以达到实际的商业上可接受的解决方案程序，以回答当从作为CBM计划的一部分进行检查的设备中获得数据时，最佳维护措施是什么的关键决策。本提案的目标是寻求NSERC的持续支持，以解决维护中的其他重要决策情况，例如优化基于时间的维护决策，这些决策通常是组织使用以可靠性为中心的维护（RCM）方法来制定维护计划的结果。我们还计划探讨如何衡量维护功能的整体性能，这样正式的维护程序可以开发，然后由工程经理采用具有挑战性的决策情况。此外，还将探讨两个密切相关的问题。它们是检验问题和备件库存问题。该研究方向是以实践为动力的，可以被认为是“产业导向的应用研究”。

The cost to organizations, such as manufacturing, mining, public utilities or process industries, of maintaining and replacing their physical assets represents a significant portion of their annual operating budget. For example, in the mining industry the maintenance budget may be in excess of 50% of annual operating costs. In manufacturing, 15 to 40% of total manufacturing costs are maintenance related. The overall goal of the proposed research program is to continue investigations into the use of quantitative procedures to enhance plant and equipment maintenance, replacement and reliability decision making. Work previously funded by an NSERC Research grant focused on condition-based maintenance (CBM) which takes into consideration the actual condition of equipment when deciding whether or not preventive maintenance is necessary. This research thrust "spun-off" in 1995 the University of Toronto's CBM Laboratory that has been underwritten since then with over $3,000,000 in private and public funding to arrive at practical commercially-accepted solution procedures to answer the key decisions of what the best maintenance action is when data is obtained from equipment inspected as part of a CBM program. The goal of this proposal is to seek continuing NSERC support to enable other important decision situations in maintenance to be addressed, such as optimizing extended time-based maintenance decisions that are frequently the outcome of an organization using the methodology of Reliability Centered Maintenance (RCM) to establish their maintenance plans. We also plan to explore how to measure the overall performance of the maintenance function, such that formal maintenance procedures can be developed then employed by engineering managers for challenging decision situations. Furthermore, two closely related issues are to be explored. They are the inspection problem and spare parts inventory problem. The research direction is motivated by practice, and may be thought of as "industry-guided applied research".