...Nooshin Salehabadi; Mingyuan Chen Purpose This study develops an integrated framework combining supervised machine learning classification with mathematical optimization to predict equipment failures and minimise maintenance costs under prediction uncertainty. Design/methodology/approach Six...

...-based models with machine learning techniques under a federated learning (FL) paradigm, the framework aims to provide accurate estimation of remaining useful life ( RUL ) for critical components while preserving data confidentiality. Furthermore, a multi-objective optimization layer leverages prognostic...

... on the components, followed by the implementation of imperfect maintenance actions depending on the inspection conditions. Findings By minimizing the long-run average cost of the system, the optimal preventive maintenance threshold for both components can be derived. Numerical and comparative experiments...

... representing a shift from traditional maintenance, leveraging prescriptive analytics, data-driven modeling and optimization techniques to enable proactive decision-making and optimal resource allocation. By harnessing PsM, organizations can anticipate and mitigate failures, optimize maintenance actions...

... and comprehensive. Monika Tanwar can be contacted at: monika.tanwar79@gmail.com 30 10 2022 31 07 2024 28 10 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Imperfect maintenance Degradation modeling Optimization Virtual age...

...Mohammad AliFarsi Purpose Unmanned aircraft applications are quickly expanded in different fields. These systems are complex that include several subsystems with different types of technologies. Maintenance and inspection planning is necessary to obtain optimal performance and effectiveness...

... systems. However, since backup operations do not come free, there is a need for a data-informed policy to decide how often and which type of backups should be taken. In this paper, the authors present a comprehensive mathematical framework to explore the design space for backup policies and to optimize...

... A comparison between results at current policy (90 days) and optimal period of corrective and preventive policy was conducted. It was found that availability, profit was increased from 94.4% and $20.091 – 96.5% and $24.803, respectively. Further, the cost was reduced from $1104.8 to $797.22. Research...

... adequately and in the most optimal state. Design/methodology/approach In this paper, a system consisting of similar components is considered, and the role of each component in the system is explained. Then, the cost pertaining to failure in each asset is determined. Costs such as energy not supplied...

... complies with several operational, technical and labour constraints. Optimization Scheduling Maintenance scheduling Maintenance planning Maintenance optimization Integer linear programming Operating and maintaining bus networks and fleets in an efficient way has become an important concern...

... Total productive maintenance Evaluation method Optimization Maintenance policies Over the years, maintenance has caught the interest of both researchers and decision-makers in companies. Initially, it simply consisted in systematic replacement in the case of preventive maintenance...

...Abdullah Alrabghi Purpose The move toward Industry 4 is accelerated by the availability of affordable sensing technologies and networking infrastructure. Condition-Based Maintenance is the well-suited maintenance strategy to make use of the information available on assets condition to optimize...

... the manufacturer industry closer to real mode. In this paper, we present an efficient and feasible optimal solution, by comparing optimization procedures. Design/methodology/approach Our manufacturing system is composed of parallel machines producing a single product, to satisfy a random demand under a given...

... (Wangnick, 2002). Therefore, extensive dependence on cogeneration makes it vital to have a necessary production with reliable output over time. Optimization Scheduling Preventive maintenance Maintenance planning Maintenance optimization Zero-one integer programming The notations used...

... of the FIS, which takes the form of a numerical weight that assesses the relative importance of each criterion, is then fed into a binary integer program that selects the optimal maintenance actions out of a set of possible actions. Findings The implementation of the developed methodology is demonstrated...

... Outsourcing Optimization Airline In-house Maintenance strategies t  index for thresholds representing the number of aircraft that can be maintained by one in-house facility (t=1, …, T_{k). Parameters: F  fleet types}...

...‐attributes and the uncertainty in the age‐based replacement policy which is, to date, not available. The proposed method begins with the formulation of the optimization problem for the cost attribute, χ(t), and the reliability attribute, ρ(t). The next step is the normalization...

...Arzu Uzun; Ahmet Ozdogan Purpose Planning of manufacturing and maintenance activities together, creating a balance between maintenance and production parameters and developments on maintenance will prevent technical and economic losses and increase production efficiency. Optimizing production...

... properties Optimization Process parameters Replacement control Optimization techniques The mill in the case study processed ore types that came from different mines and possessed different physical characteristics, such as different grade values, ore densities etc. Besides the process data...

...Abdelhakim Khatab; Nidhal Rezg; Daoud Ait‐Kadi Purpose This paper aims to investigate the optimization of the replacement with minimal repair policy for a system which experiences a time horizon of random length. Under such policy system replacement occurs at multiples of some period while minimal...