Search Results - subject_exact:"Maintenance policy"

A simheuristic-based algorithm for the stochastic long-term maintenance scheduling problem

Coelho, Diego G.; Souza, Marcone J. F.; Cota, Luciano P. - 2026

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015459126

Proposing a multi-level perspective of the influencing factors of repair behaviours of household electrical appliances

Brumley, Lauren; Boulet, Mark; Smith, William H. C. - 2026

Within the framework of the circular economy, extending the lifespan of electrical products through repairing them is a promising approach, particularly against the backdrop of growing e-waste levels. Consumers play a key role in facilitating repair and multiple studies have suggested their...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015596468

A multi-objective open shop model for optimizing scheduling in automotive repair shops

Behbahani, Mohammad; Izadbakhsh, Reza; Izadbakhsh, … - 2026

Warranty and after-sales services have become increasingly critical due to their significant cost implications for both manufacturers and consumers. Efficient scheduling in automobile repair shops plays a key role in enhancing customer satisfaction while minimizing operational inefficiencies....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015654297

An integrated lot sizing and maintenance planning problem for a single machine

Dansou, Harcènage; Gruson, Matthieu; Lamothe, François; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015372807

Unlocking the potential of predictive maintenance for intelligent manufacturing : a case study on potentials, barriers, and critical success factors

Hoffmann, Marcel André; Lasch, Rainer - 2025

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...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015331591

A capacitated vehicle routing model for distribution and repair with a service center

Rojas-Cuevas, Irma-Delia; Olivares-Benitez, Elias; … - 2025

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,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015337496

Learning to balance the performance and deterioration of aging systems through derating

Wang, Jue - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015482603

A simulated annealing solution approach for the urban rail transit rolling stock rotation planning problem with deadhead routing and maintenance scheduling

Younes, Alyaa Mohammad; Eltawil, Amr Bahgat; Ali, Islam - 2025

Background: Urban rail transit ensures efficient mobility in densely populated metropolitan areas. This study focuses on the Cairo Metro Network and addresses the Rolling Stock Rotation Planning Problem (RSRPP), aiming to improve operational efficiency and service quality. Methods: A...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015492734

Integration of data analytics and data mining for machine failure mitigation and decision support in metal-mechanical industry

Araújo, Sidnei Alves de; Bomfim, Silas Luiz; … - 2025

Background: The growing complexity of production processes in the metal-mechanical industry demands ever more effective strategies for managing machine and equipment maintenance, as unexpected failures can incur high operational costs and compromise productivity by interrupting workflows and...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015492745

Promoting textile product repair services in the European setting : do emotions shape consumers' evaluations?

Bettiga, Debora; Mandolfo, Marco; Noci, Giuliano - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015442032

Stochastic discrete event simulation of airline network and maintenance operations

Varenna, Sara; Li, Haonan; Ribeiro, Marta; Santos, Bruno F. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015442317

An integrated deep learning approach for predictive vehicle maintenance

Errezgouny, Abderrachid; Chater, Youness; Barranco … - 2025

In the automotive sector, vehicle data gathered through On-board Diagnostics (OBD) systems offers continuous insights into vehicle health status and performance. Leveraging this data for predictive maintenance can significantly reduce unplanned failures, enhance safety, and extend vehicle...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015506516

Nudging tactics for enhanced compliance with condition-based maintenance guidelines

Lima, Mateus do Rego Ferreira; Bendoly, Elliot; Craig, … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015466424

Consumer repair decision-making : a systematic literature review and future research agenda

Ozanne, Lucie K.; Madhuhansi, W. H. Thejani - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015475591

Data-driven condition-based maintenance optimization given limited data

Cai, Yue; Jonge, Bram de; Teunter, Ruud H. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015433039

Enhancing industrial maintenance planning : optimization of human error reduction and spare parts management

Emroozi, Vahideh Bafandegan; Kazemi, Mostafa; … - 2025

Maintenance is pivotal in the industrial sector, influencing efficiency, reliability, safety, and profitability. An organized spare parts inventory supports maintenance efforts by minimizing downtime, ensuring safety, and optimizing maintenance budgets. Effective spare parts management enhances...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015433580

A graph convolutional network for optimal intelligent predictive maintenance of railway tracks

MajidiParast, Saeed; Neamatian Monemi, Rahimeh; … - 2025

This study presents a prescriptive analytics framework for optimal intelligent predictive maintenance of railway tracks. We use machine learning and Graph Convolutional Networks (GCNs) to optimize the maintenance schedules for railway infrastructure and enhance operational efficiency and safety....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420116

A systematic review of time series algorithms and analytics in predictive maintenance

Syed, Md Asif Bin; Hasan, Md Rabiul; Chowdhury, Nahian … - 2025

The evolution of Industry 5.0, along with its predecessor Industry 4.0, has significantly boosted the adoption of predictive maintenance through integrating Internet of Things (IoT) sensors and real-time big data analysis, enabling the identification and prevention of equipment failures. This...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015420402

Reputation-damaging events over a long time horizon : an event-system model of substantive reputation repair

Vassallo, Jarrod P.; Seo, Yeonji; Ansari, Shahzad Shaz - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015386769

Maintenance optimization for multi-component systems with a single sensor

Eggertsson, Ragnar; Eruguz, Ayse Sena; Basten, Rob; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015085312

Predictive maintenance approaches : a systematic literature review

Taoufyq, Hicham; El Guemmat, Kamal; Mansouri, Khalifa; … - 2025

Purpose: Predictive maintenance (PdM) aims to optimize maintenance operations by detecting operational anomalies and potential equipment failures before they lead to costly unplanned downtime. The goal is to minimize reactive maintenance and reduce the frequency of preventive maintenance...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015627260

Functional resonance analysis via a genetic algorithm to ensure cost-effective maintenance planning

Patriarca, Riccardo; Lovaglio, Lorenzo; Simone, Francesco - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015373741

Unified tail assignment and maintenance task scheduling : a decision support framework for improved efficiency and stability

Pescio, Luigi; Ribeiro, Marta; Santos, Bruno F. - 2025

Flight and maintenance scheduling pose conflicting objectives: while maintenance is vital for ensuring aircraft airworthiness, it comes at the cost of taking aircraft out of operation. In current operations, airlines manually handle tail assignment and maintenance task scheduling separately,...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015606715

Overcoming the productivity challenge in product life-extending operations : a multiple-case study of European facilities

Gróf, Clemens; Netland, Torbjørn H. - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015549072

Highway conditions and insufficient maintenance in Germany : a threat for economic growth : online appendix 2021

Gaus, Dennis; Link, Heike - 2025

In diesem Paper analysieren wir den Einfluss des Anlagevermögens und des Zustands von Verkehrsinfrastruktur auf die regionale wirtschaftliche Entwicklung. Hierzu nutzen wir einen Paneldatensatz der deutschen Landkreise (N=401) über die Jahre 2007 bis2016 und eine räumlich adaptierte...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015557271

Optimization of engineering vehicle scheduling in shipbuilding and repair yards based on the dual-cycle strategy

Zhou, Jianhua; Wu, Haifei; Weng, Hailong; He, Lijun; … - 2025

Background: As a labor-, capital-, and technology-intensive sector, shipbuilding supports water transportation, international trade, and marine development, driving economic growth and employment. Yet rising raw material/labor costs now bottleneck enterprise performance, making cost reduction...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015564580

The service control tower : dilemmas, decisions and a reference architecture for maintenance of (high-value) assets

Harmelink, Rogier; Topan, Engin; Hillegersberg, Jos van - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015593512

Seizing opportunity : advancing the science and practice of opportunistic maintenance in manufacturing

Bokrantz, Jon; Subramaniyan, Mukund; Skoogh, Anders - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015604052

Optimal housing taxation with land scarcity and maintenance : a Mirrleesian perspective

Bastani, Spencer; Blomquist, Nils Sören; Gahvari, Firouz; … - 2025

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015583284

Grouping-maintenance of multi-components production system under ecological background

Zuo, Wei; Fan, Yuntong; Xu, Xuemin; Jiang, Aiping - 2024

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....

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015386478

Promoting cooperation in collective actions : evidence from the reserve fund for maintenance in China

Li, Tao; Li, Hao; Zheng, Jin Di - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015323349

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Promoting Cooperation in Collective Actions : Evidence from the Reserve Fund for Maintenance in China

Li, Tao; Li, Hao; Zheng, Jin Di - 2021

Book / Working Paper

An explainable artificial intelligence model for predictive maintenance and spare parts optimization

Dereci, Ufuk; Tuzkaya, Gülfem - 2024

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...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015325122

Sustainability perceptions towards digitalization of maintenance services : a survey

Karki, Bishal Raj; Ylijoki, Ossi; Basnet, Saru; Porras, Jari - 2024

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...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015332693

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Sustainability Perceptions Towards Digitalization of Maintenance Services – a Survey

Karki, Bishal Raj - 2023

Book / Working Paper

Predicting machine failures using machine learning and deep learning algorithms

Yadav, Devendra K.; Kaushik, Aditya; Yadav, Nidhi - 2024

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...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015332702

Planning maintenance when resources are limited : a study of periodic opportunistic replacement

Cavalcante, Cristiano Alexandre Virgínio; Scarf, Philip A. - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015333064

Development of a cost optimal predictive maintenance strategy

Weeber, Christoph - 2024

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...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015064275

The politics of tied aid : technology transfer and the maintenance and repair of water infrastructure

Jambadu, Lazarus; Monstadt, Jochen; Pilo, Francesca - 2024

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015072638

Category management for the operational resource procurement

Elyashevich, Ivan; Sergeev, Victor; Dybskaya, Valentina; … - 2024

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...

Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015074445