Prioritization of Physical Assets for Maintenance and Production Sustainability

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.

Multi-stakeholder perspectives on indicators for sustainable maintenance performance in production contexts: an exploratory study

“…Proper maintenance and management of physical assets has positive effects on the economic, environmental and social performance of corporate sustainability (Dur an and Dur an, 2019;Maleti c et al, 2018), and sustainable maintenance management contributes to the reduction of maintenance impacts on sustainability (Franciosi et al, 2018). Maintenance impacts and performance should be measured to evaluate and control the gap between the actual and desired sustainable performance.…”

An ontological modelling of multi-attribute criticality analysis to guide Prognostics and Health Management program development

“…The evaluation of the prioritization of the assets is performed by looking at their criticality, assessed from several perspectives depending on specific business requirements [8]. The multiple perspectives extend the traditional machine-narrowed, availability-focused criticality evaluation of assets towards a broader set of characteristics, envisioned to be more sustainability [9] and system level [10] oriented for the coming years. However, extended criticality analyses are not widely spread in industry for various reasons and several shortages exist in the related tools [11].…”

Improved Preventive Maintenance Scheduling for a Photovoltaic Plant under Environmental Constraints

“…Mukhtar et al [4] carried out a techno-economic feasibility study on a 500 kW PV micro grid integrated into the electric system to determine the effect of electricity consumption on the economic development and environmental sustainability across 12 cities in Nigeria. The sustainable selective maintenance technique was proposed by Duran and Duran [5] for an industrial manufacturing system by a technique known as the Overall Equipment Effectiveness index. This technique was used to determine the effects of maintenance decisions, as well as their operational implications.…”