Equipment reliability and maintenance

制造业、采矿业、公用事业或流程工业等组织维护和更换实物资产的费用占其年度业务预算的很大一部分。例如，在采矿业，维护预算可能超过年度运营成本的50%。在制造业，15%至40%的总制造成本与维护相关。拟议研究计划的总体目标是继续调查量化程序的使用，以加强工厂和设备的维护、更换和可靠性决策。以前由NSERC研究拨款资助的工作侧重于基于条件的维护(CBM)，在决定是否需要预防性维护时，会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，该实验室自那时以来一直得到超过300万美元的私人和公共资金的资助，以得出实际的商业接受的解决方案程序，以回答当从作为CBM计划一部分检查的设备获得数据时，最佳维护行动是什么的关键决策。该提案的目标是寻求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延长维护决策，这些决策通常是组织使用以可靠性为中心的维护(RCM)方法来建立其维护计划的结果。我们还计划探索如何衡量维护功能的整体性能，以便开发正式的维护程序，然后由工程经理在具有挑战性的决策情况下使用。此外，还需要探讨两个密切相关的问题。它们分别是检验问题和备件库存问题。研究方向是由实践驱动的，可以被认为是“行业导向的应用研究”。

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".