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Maintaining Equipment
Published in Iwao Kobayashi, 20 Keys to Workplace Improvement, 2018
Generally, the people who use equipment are the first ones to notice equipment malfunctions and breakdowns. They know the equipment and therefore are best able to detect when something is odd and needs attention. Operators should adopt their machines as they would adopt a child and abandon the idea that inspection and maintenance is the maintenance department’s job. Eliminate the three evils (contamination, inadequate lubrication, and misoperation). Mechanics responding to equipment malfunctions should identify the cause and indicate whether it is one of the three evils. If so, the operator and manager responsible for the equipment should be told so they can plan appropriate countermeasures.Make PM a topic for improvement team activities.Elminating the three evils makes a good team project. It’s an effort that requires specific targets and incremental improvements. Working on PM projects is also a good way to strengthen communication, inspire important discussions, and raise team morale.Make needed consumables and spare parts readily available.Consumables and spare parts should be stored in a clearly marked location where they can be retrieved easily when needed.
Peripheral Energy Markets
Published in Anco S. Blazev, Global Energy Market Trends, 2021
Proactive (aka preventative) maintenance plans expand upon the essential service components of the Preventative plan. The Proactive plan adds in a 24-hour emergency response time and written report for all emergency services. Spare parts inventory management is an integral part of the plan, and simplifies maintenance planning and preserves uptime in the event of an unforeseen mechanical issue. Warranty administration allows for greater focus on revenue-generating activities. System performance is improved through regularly scheduled sub-system testing and verification, real-time monitoring, electrical, thermography, and full calibration services.
Continuous Random Variables
Published in William M. Mendenhall, Terry L. Sincich, Statistics for Engineering and the Sciences, 2016
William M. Mendenhall, Terry L. Sincich
Spare parts demand model. Effective maintenance of equipment depends on the ability to accurately forecast the demand for spare parts. The Journal of Quality in Maintenance Engineering (Vol. 18, 2012) developed a statistical approach to forecasting spare parts demand. The methodology used the gamma distribution with parameters α and β to model the failure rate, Y, of system components. The model was developed under the assumption that the actual failure rate does not exceed twice the theoretical mean failure rate, μ. Assume α = 2 and β = 5, then find P(Y < 2μ).
A novel framework for imputing large gaps of missing values from time series sensor data of marine machinery systems
Published in Ships and Offshore Structures, 2022
Christian Velasco-Gallego, Iraklis Lazakis
Condition-based maintenance (CBM) is a maintenance strategy based on the monitoring of assets’ conditions, implemented to reduce the number of failures associated with machinery (Lazakis et al. 2016; Raptodimos and Lazakis 2018; Lazakis et al. 2019; Raptodimos and Lazakis 2020). Owing to its capacity to increase safety and reduce risk, Industrial Internet of Things (IIoT) is applied to install a large number of sensors alongside the most critical components of the ship and around their environment to assess not only the conditions of the assets but also the operational environment. IIoT has demonstrated the enabling of efficient predictive maintenance (Aheleroff et al. 2020), and thus determines the current and future health of machinery to assist the decision-making processes that optimise the maintenance and inspection tasks, crew management, and spare parts stocks, among other aspects. However, incomplete values, which are derived from device failure, network collapse, and human error (Noor et al. 2014; Balakrishnan and Sangaiah 2018; Izonin et al. 2019), may be recorded due to the utilisation of IIoT, and thus, if not addressed, data analysis may be unreliable and inaccurate, promoting bias in data-driven decision-making models. To that end, the implementation of data imputation is indispensable, which is a crucial step in sensor data preparation to deal with missing values.
Battle damage-oriented spare parts forecasting method based on wartime influencing factors analysis and ε-support vector regression
Published in International Journal of Production Research, 2020
Xiong Li, Xiaodong Zhao, Wei Pu
Nowadays, spare parts are becoming essential in most of supply chain operations. They are important not only in the after-sales services but also in preventive and corrective maintenance operations within production systems (Fortuin and Martin 1999; Hasni et al. 2018). Spare parts management can be defined as process-oriented design, planning and control of information, and spare parts flows, as well as maintenance service personnel and equipment from suppliers to the end customers in support of repairing and maintaining of technical systems (Hellingrath and Cordes 2014). Accurate forecasting of spare parts demand would be of a direct practical relevance for companies by enhancing their reactivity in terms of establishing the cost-efficient availability of items. Thus, forecasting spare parts consumption is not only one of the core works of spare parts management, but also one of the important aspects in the production research field that covers the whole life cycle of the product. Our research deals with spare parts forecasting method in wartime context. Therefore, from the point of view of research content, this work belongs to the category of production research, and it can be used to enrich the production research literature.
Inventory strategy for spare parts redundancy to support server operations during production processes
Published in Production & Manufacturing Research, 2019
Valeriana Lukitosari, I. Nyoman Pujawan, Basuki Widodo
The management of spare parts is complex. Spare part management is required to ensure high reliability, availability of parts and equipment operation. Avoiding and anticipating equipment damage is possible through maintenance and installation of redundant parts. The risk of failure can potentially be reduced through planned maintenance and redundancy, thus prolonging the life of the system and reducing costs associated with repairs. If failure is inevitable, it is important to reduce downtime by ensuring that the needed spare part is available. Giri and Dohi (2009) analysed the inventory control policy considering an emergency order for providing a balance between economy and reliability. They applied cost-effectiveness criteria, including the effects of system availability and expected costs to obtain an optimal inventory. Kennedy, Patterson, and Fredendall (2002) reviewed research papers on inventory of spare parts. Boylan and Syntetos (2010) undertook a review on spare parts management based on strategies for sharing demand information and the design of forecast support systems. Hu, Boylan, Chen, and Labib (2018) conducted spare part management reviews based on the product life cycle process, objectives, and main tasks to support spare parts inventory in Operations Research fields.