Abstract
Maintenance is one of the main drivers for ensuring the sustainability of manufacturing in capital-intensive production systems. However, in many cases, as a result of budgetary constraints, it is necessary to select which machines will be subject to maintenance actions on the basis of a list of priorities. Traditionally, such prioritization decisions are made using techniques which, in general, do not consider the systemic impact of maintenance actions. This paper is focused at the definition of a novel graphical technique for physical assets prioritization. This technique is aimed at establishing maintenance priorities considering the impact on the overall throughput of the production system. Due to the fact that the proposed technique is based on the well-known Overall Equipment Effectiveness (OEE) index, its use is not only limited to measuring the effects of maintenance decisions and actions (availability), but also to operational implications (productivity and utilization). The results could be displayed graphically, which makes it particularly useful and manageable for different types of users. The methodology is illustrated though an example based on a comminution plant from the copper mine industry. It is evident how the proposed technique facilitates business-oriented and economic sustainability focused decisions.
Highlights
Nowadays, it is well-established that a nation’s wealth and economic growth depend on the prosperity of its industrial sector
This index takes into account the Overall Equipment Efficiency (OEE) of each piece of equipment and makes it possible to carry out factory level diagnostics, detect bottlenecks, and identify hidden capacities
To define the O.T.E. in a simplified way, and paraphrasing the OEE definition, we present the two following equations (Equations (6) and (7)): Actual throughput f rom equipment in total time
Summary
It is well-established that a nation’s wealth and economic growth depend on the prosperity of its industrial sector. From the point of view of the systemic impact, it is necessary to establish a hierarchy of physical assets regarding the degree of influence or impact that each equipment provokes into efficiency of the overall performance (throughput) of the system Such prioritization efforts have to take into account the performance and the impact generated at the systemic level by an increase or reduction in their availability, utilization levels, and performance (i.e., OEE fluctuations). The present work raises the following hypothesis: “It is possible to define a prioritization list of equipment to plan maintenance actions according to the impact that the variation of the operational variables (availability, use, and productivity) of each individual equipment causes in the global throughput and in the generation of value for sustainable manufacturing”. We try to make a contribution in this sense
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