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The correlation between spare parts planning systems with the inventory level at PT Petrokimia Gresik
Published in Siska Noviaristanti, Contemporary Research on Management and Business, 2023
Industries are facing a lot of challenges such as optimization of operation and maintenance function due to environmental and safety requirement issues that are always developing. A maintenance strategy has been developed to support maintenance management implementation in industries. However, maintenance strategy is not well-defined in the literature. A few authors have defined it. Kelly (1997) defined maintenance strategy as a systematic approach to upkeep the facilities and equipment. It involves the identification, researching, and execution of many repairs, replacements, and inspection decisions. There are three types in the maintenance strategy, namely preventive maintenance, predictive maintenance, and corrective maintenance. Corrective maintenance requires the highest buffer stock because the activities are unscheduled and their failures are unpredictable. So, the company must carry out turnaround activities. PT Petrokimia Gresik can carry out turnaround activities about 8-12 times per year.
Implementation Stage of TPM
Published in Charles J. Robinson, Andrew P. Ginder, Implementing TPM, 2020
Charles J. Robinson, Andrew P. Ginder
Enlightened North American companies have been striving for the past several decades to move from reactive to proactive maintenance. Planned maintenance is defined as maintenance activities which are performed to a predetermined schedule of activities. Planned maintenance activities evolve in four stages: reactive maintenance, preventive maintenance, predictive maintenance, and maintenance prevention. Whereas reactive maintenance entails waiting until something breaks before initiating maintenance activities, preventive maintenance involves periodic checking, adjusting, and replacing of parts to prevent equipment failure. Predictive maintenance is the measuring of process variables and equipment condition, so that potential problems can be forecast. Maintenance prevention, on the other hand, eliminates the need for maintenance through improved design of equipment. Most North American companies have established preventive maintenance systems, with procedures and schedules developed for at least their critical equipment. Although the scheduled procedures may not address the actual needs of the equipment or may have unreasonable intervals, at least some regular checks are scheduled and completed. In addition, many medium-to large-sized plants have experimented with predictive maintenance in the form of either vibration analysis, thermography, or lube oil analysis. A very select number of companies have also begun developing the concept of maintenance prevention.
Sustainable strategies in built heritage preservation: Planned conservation and community participation. Experiences in Portugal
Published in Koen Van Balen, Aziliz Vandesande, Innovative Built Heritage Models, 2018
In Portugal, the term “maintenance” is more commonly used, broadly meaning the “set of preventive operations carried out in order to keep a building as a whole or each of its constituent parts in a good state” (Henriques, 1991). Maintenance is thus a system of preventive practices, controls, small repairs, cleaning and appropriate uses. In this sense, one can identify different types of maintenance: preventive or predictive maintenance (inspection and preventive actions), conditioned maintenance (post-symptomatic actions) and curative or corrective maintenance (post-damage actions) (Paiva et al, 2006; Calejo, 2009; Flores-Collen & Brito, 2003). Maintenance is therefore a broad term, encompassing a vast range of different operations, which may be direct or indirect, simple or qualified, varying also in their frequency (daily, weekly, monthly, biannual or multiannual) or according to the seasons of the year (Coias, 2004).
Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
Published in Journal of Marine Engineering & Technology, 2023
Mohsen Elmdoost-gashti, Mahmood Shafiee, Ali Bozorgi-Amiri
In general, maintenance strategies can be classified into three types: corrective maintenance, preventive maintenance, and CBM (Coraddu et al. 2016). Under the corrective maintenance strategy, the equipment or system is allowed to run until it fails and then it is repaired or replaced. Preventive maintenance (PM) is a strategy that involves routine repairs according to a defined time interval or usage level of the asset. CBM is a maintenance strategy that has attracted the attention of many researchers in recent years (Asuquo et al. 2021; Kimera and Nangolo 2022). This strategy stipulates that maintenance should only be performed when certain indicators show signs of performance degradation or impending failure. For this purpose, it incorporates all diagnosis, process and performance data, maintenance histories, operator logs and design information to make timely maintenance decisions. CBM provides the ability to increase the equipment reliability and improve the efficacy of maintenance operations based on the data gathered from condition monitoring systems. Condition monitoring systems include various tools that are used to record and evaluate different parameters such as vibration, acoustic, temperature, flow signal and oil colour. The data is then processed to determine the health status of the equipment and predict the remaining useful life (RUL) (Pascual 2015). An optimal maintenance plan is then prepared based on the predicted health condition of the equipment so that a preventive repair/replacement can be performed when there is a high risk of failure (Liao et al. 2006; Vachtsevanos et al. 2006).
A data-driven predictive maintenance model for hospital HVAC system with machine learning
Published in Building Research & Information, 2023
Raid Al-Aomar, Marah AlTal, Jochen Abel
The increased availability of industrial data has facilitated the ways in which predictive maintenance could be developed and deployed (Costello et al., 2017). Building Management System (BMS) can greatly help in monitoring and controlling building systems through sensor data. Several previous studies utilized the BMS to predict the condition of HVAC systems. For example, Kukkonen (2018) used BMS to obtain sensor data for an Air Handling Unit (AHU) and applied fuzzy expert rules and recursive density estimation for automatic fault detection. Computerized Maintenance Management System (CMMS) could be also used to improve the efficiency of maintenance management systems. Such computerized systems along with the availability of sensor data have also facilitated the utilization of machine learning in predictive maintenance.
Accessibility for maintenance in the engine room: development and application of a prediction tool for operational costs estimation
Published in Ship Technology Research, 2022
Paola Gualeni, Fabio Perrera, Mattia Raimondo, Tomaso Vairo
In the maritime field, as in many other sectors, maintenance can usually be implemented regarding three different approaches: Preventive maintenance (PM): this type of maintenance is based on the operating hours of the item, and it is performed even if the item is not broken. These interventions are recommended by the supplier with reference to a certain number of operating hours. Ideally, with the PM, nothing breaks down.Corrective maintenance: it is made after the detection of a failure and aims to restore the initial condition of the item.Condition -based or Predictive maintenance (PdM): it is the most recent type of maintenance, where sensors are used to archive data about the system under consideration. These data are used in conjunction with analysed historical trends to continuously evaluate the system’s health and possibly predict a breakdown before it happens.