Predictive maintenance (PdM) is a data-driven maintenance strategy that aims to avoid unplanned downtimes by predicting the remaining lifetime of maintenance objects. Thus, unnecessary replacements of spare parts and critical process disturbances due to breakdowns can be avoided. Despite the...

Background: Distribution systems often face the dual challenge of delivering products to customers and retrieving damaged items for repair, especially when the service center is separate from the depot. An optimized solution to this logistics problem produces benefits in terms of costs,...

Maintenance strategies are vital for industrial and manufacturing systems. This study considers a proactive maintenance strategy and emphasizes using analytics and data science. We propose an Explainable Artificial Intelligence (XAI) methodology for predictive maintenance. The proposed method...

Evaluating maintenance plans for power generation is a critical task managed by the National System Operator, as it is directly related to criteria such as operational cost, rationing, and availability of natural resources. This study identifies the most suitable maintenance schedule between...

Efficient route management is critical for optimizing maintenance activities in real estate management. This study delves into the intricate task of allocating maintenance duties among building surveyors, a pivotal concern for property management firms. The primary goal of route planning is to...

Industry 4.0 denotes smart manufacturing, where rotating machines predominantly serve as the fundamental components in production sectors. The primary duty of maintenance engineers is to upkeep these vital machines, aiming to reduce unexpected halts and extend their operational lifespan. The...

Background: Exchangeable item repair systems are inventory systems. A nonfunctional item is exchanged for a functional item and returns to the system after being repaired. In our periodic review setting, repair is performed either in-house or outsourced. When repair is in-house, a repaired item...

Background: The ongoing technical innovation is fully involving transportation sector, converting the usual mass-transit system toward a sustainable mobility. Make-or-buy decision are usually adopted to assess different solutions in terms of costs-benefits to put in place strategic choices...

The introduction of Category Management in operational resources purchasing helps to improve logistics service levels and increase the profitability of industrial enterprises. There are two main purposes of the provided article. The first purpose is to develop a methodological framework for...

Maintenance costs account for a significant share of operating expenses. Selecting the optimal maintenance strategy for each application is crucial to optimize operational processes and minimize MRO spending. In recent years, Machine Learning has become popular for analyzing large amounts of...

Digital maintenance has the potential to leverage data and advanced analytics to forecast, prevent, diagnose, and rectify equipment problems. To better fulfill the maintenance objective, digital maintenance combines traditional maintenance functionalities with modern digital tools and...

Industry 4.0 emphasizes real-time data analysis for understanding and optimizing physical processes. This study leverages a Predictive Maintenance Dataset from the UCI repository to predict machine failures and categorize them. This study covers two objectives namely, to compare the performance...

Purpose: The purpose of this paper is to propose an opportunistic group maintenance model for a multi-component series system considering reducing CO2 emission and increasing system efficiency, which establishes a maintenance policy to minimize the cost rate of the system life cycle....

Maintenance solution for underwater portion of a ship is commonly known as ‘Dry Docking Repair’ or ‘Slipway Repair’. In Bangladesh, current practices for docking repair/slipway repair are not quite up to date despite being properly organized. Yet there are scopes for further development...

This paper proposes a joint optimization approach for the production decisionmaking and inventory allocation in a fault-prone machine supply chain system, considering production and supply uncertainty as well as the impact of machine failure. A model based on Markov decision theory is presented...

In this paper, an opportunistic predictive maintenance is developed for a system composed one continuous operation component (COC) and one intermittent operation component (IOC). The COC continuously operates in consistent with the system. In contrast, the IOC alternatively works in operation...

The aviation industry faces many challenges. One of which is unprepared aircraft maintenance graduates taking licensure exams. Students preparing for CAAP licensure examination typically return to their undergraduate school to ask their technical instructors to train them for their incoming...

The article proposes an approach for modeling and solving the air cargo transportation, loading, and phase-based maintenance scheduling problems in an integrated fashion. It describes the demand channel routing strategy to meet the earliest pickup and delivery requirements in emergency...

In this study, the problem of scheduling a set of jobs and one uncertain maintenance activity on a single machine, with the objective of minimizing the makespan is addressed. The maintenance activity has a given duration and must be executed within a given time window. Furthermore, duration and...