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Relevant bibliographies by topics / Production Maintenance Scheduling

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Academic literature on the topic 'Production Maintenance Scheduling'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Production Maintenance Scheduling"

1

Kromodihardjo, Sudiyono, and Ergo Swasono Kromodihardjo. "Modeling of Well Service and Workover to Optimize Scheduling of Oil Well Maintenance." Applied Mechanics and Materials 836 (June 2016): 311–16. http://dx.doi.org/10.4028/www.scientific.net/amm.836.311.

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Well maintenance (well service and workover) is an operation needed by oil company to guarantee the optimum productionof its oil well.Well maintenance is performed using large equipment called hydraulic workover unit (HWU-Rig) which is available in limited number. Scheduling sequence of the HWU-Rig to do well service must meet the goal of the maintenance that is to minimize the loss of oil well production due to well breakdown. Thus minimizing breakdown time of well with high rate production is a priority. However, scheduling secuence of the HWU-Rig to perform its task for few days ahead becom

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Charles-Owaba, O. E., V. Oladokun, and O. Okunade. "Development of the Contiguous-cells Transportation Problem." Engineering, Technology & Applied Science Research 5, no. 4 (2015): 825–31. https://doi.org/10.5281/zenodo.28397.

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The issue of scheduling a long string of multi-period activities which have to be completed without interruption has always been an industrial challenge. The existing production/maintenance scheduling algorithms can only handle situations where activities can be split into two or more sets of activities carried out in non-contiguous sets of work periods. This study proposes a contiguous-periods production/maintenance scheduling approach using the Transportation Model. Relevant variables and parameters of contiguous-cells scheduling problem were taken from the literature. A scheduling optimizat

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Paprocka, Iwona, Wojciech M. Kempa, Krzysztof Kalinowski, and Cezary Grabowik. "A Production Scheduling Model with Maintenance." Advanced Materials Research 1036 (October 2014): 885–90. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.885.

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In the paper, a production model with maintenance is presented. Successive failure-free times of a bottleneck are supposed to have predefined distributions and are followed by distributed times of repair. Having values of parameters: Mean Time To Failure and Mean Time of Repair, a predictive schedule is generated. To assess wastes due to unplanned events of the bottleneck, such as unplanned downtime the Overall Equipment Effectiveness indicator is applied. To assess failure rate of the bottleneck the Parts Per Million Opportunities indicator is applied. Prediction capability, detection capabil

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Zhao, Zhiyuan, and Qilong Yuan. "Integrated Scheduling of the Production and Maintenance of Parallel Machine Job-shop Considering Stochastic Machine Breakdowns." Journal of Engineering Management and Systems Engineering 1, no. 1 (2022): 15–22. http://dx.doi.org/10.56578/jemse010103.

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The integrated scheduling of production and maintenance can make equipment maintenance in line with the production pace, so as to effectively prevent anormal interruptions of the production process due to equipment failure, and ensure the smooth implementation of the production scheduling plan. Aiming at the parallel machine job-shop environment, and considering stochastic machine failures and different degradation speeds of parallel machines, this paper introduced the minimal maintenance and preventive maintenance strategies to establish an integrated scheduling model for production and maint

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Charles-Owaba, O. E., V. Oladokun, and O. Okunade. "Development of the Contiguous-cells Transportation Problem." Engineering, Technology & Applied Science Research 5, no. 4 (2015): 825–31. http://dx.doi.org/10.48084/etasr.546.

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The issue of scheduling a long string of multi-period activities which have to be completed without interruption has always been an industrial challenge. The existing production/maintenance scheduling algorithms can only handle situations where activities can be split into two or more sets of activities carried out in non-contiguous sets of work periods. This study proposes a contiguous-periods production/maintenance scheduling approach using the Transportation Model. Relevant variables and parameters of contiguous-cells scheduling problem were taken from the literature. A scheduling optimizat

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Zahedi, Zahedi, and Ashadi Salim. "Integrating Preventive Maintenance Scheduling As Probability Machine Failure And Batch Production Scheduling." ComTech: Computer, Mathematics and Engineering Applications 7, no. 2 (2016): 105. http://dx.doi.org/10.21512/comtech.v7i2.2247.

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This paper discusses integrated model of batch production scheduling and machine maintenance scheduling. Batch production scheduling uses minimize total actual flow time criteria and machine maintenance scheduling uses the probability of machine failure based on Weibull distribution. The model assumed no nonconforming parts in a planning horizon. The model shows an increase in the number of the batch (length of production run) up to a certain limit will minimize the total actual flow time. Meanwhile, an increase in the length of production run will implicate an increase in the number of PM. An

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Khatami, Mostafa, and Seyed Hessameddin Zegordi. "Coordinative production and maintenance scheduling problem with flexible maintenance time intervals." Journal of Intelligent Manufacturing 28, no. 4 (2014): 857–67. http://dx.doi.org/10.1007/s10845-014-1001-9.

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Wirdianto, Eri, Irfan Nugraha Putra Mukhti, Alexie Herryandie Bronto Adi, and Milana Milana. "Model Penjadwalan Pemeliharaan Preventif Mesin-Mesin Produksi untuk Meminimasi Total Tardiness." INVOTEK: Jurnal Inovasi Vokasional dan Teknologi 20, no. 1 (2020): 123–36. http://dx.doi.org/10.24036/invotek.v20i1.629.

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Preventive maintenance is considered as a method to avoid unexpected failure in production machines. Unfortunately, conducting such maintenance is limited by resources availability thus likely causes tardiness. This research aims to minimize total tardiness of preventive maintenance on production machines by developing a scheduling model. This scheduling model takes the availability of time and labor into account to get an optimal scheduling model that can minimize the tardiness. The model of preventive maintenance schedule is developed by using the Integer Linear Programming method. This meth

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Zu, Leting, Wenzhu Liao, and Xiaoxia Yang. "An Optimization Model for Production Scheduling in Parallel Machine Systems." Axioms 13, no. 12 (2024): 848. https://doi.org/10.3390/axioms13120848.

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The efficiency and quality of the manufacturing industry are greatly influenced by production scheduling, which makes it a crucial aspect. A well-designed production scheduling scheme can significantly enhance manufacturing efficiency and reduce enterprise costs. This paper presents a tailored optimization model designed to address a more complex production scheduling problem that incorporates parallel machines and preventive maintenance. The proposed solutions aim to achieve a balance between job sequence and machine reliability, considering the minimum maintenance cost rate for determining m

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Peng, Fan, and Yanfeng Ouyang. "Track maintenance production team scheduling in railroad networks." Transportation Research Part B: Methodological 46, no. 10 (2012): 1474–88. http://dx.doi.org/10.1016/j.trb.2012.07.004.

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Dissertations / Theses on the topic "Production Maintenance Scheduling"

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Dedopoulos, Ilias. "Optimisation of maintenance and production in multipurpose plants." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/8925.

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Waterer, Hamish. "Polyhedral approaches to scheduling shutdowns in production planning." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/23362.

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Batun, Sakine. "Machine Scheduling With Preventive Maintenances." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607354/index.pdf.

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In manufacturing environments, machines are usually subject to down periods due to various reasons such as preventive maintenance activities, pre-accepted jobs and pre-known material shortages. Among these reasons, preventive maintenance, which is defined as the pre-planned maintenance activities to keep the machine in its operating state, has gained much more importance in recent years. In this thesis, we consider the single machine total flow time problem where the jobs are non-resumable and the machine is subject to preventive maintenance activities of known starting times and durations. W

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Rajagopalan, Sreekanth. "Design and Maintenance Planning Problems in Commodity Distribution and Chemical Site Networks." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1141.

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In this dissertation, we consider two specific types of problems over networks. In the first problem, we explore systematic methods to address some of the challenges in largescale maintenance planning in integrated chemical sites. In the second problem, we investigate different optimization model formulations for the design of flow distribution networks where the flow is potential-driven and nonlinearly related to the potential loss. Maintenance turnaround in the processing industry is a complex asset renewal project that includes huge capital expenditures and downtime losses. The option of de

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Persinger, Arnold Ralph. "A prototype industrial maintenance software system to apply a proactive approach to equipment failure." [Denver, Colo.] : Regis University, 2005. http://165.236.235.140/lib/APersinger2005.pdf.

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Pargar, F. (Farzad). "Resource optimization techniques in scheduling:applications to production and maintenance systems." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526216942.

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Abstract Optimizing the use of resources plays an important role in today’s modern manufacturing and service organizations. Scheduling, involving setup times and costs, leads to better allocation of resources over time to perform a collection of required tasks. This compilation dissertation examines how the learning effect of workers and a combination of setup activities can be used to optimize resource utilization in manufacturing systems and maintenance services. The learning effect is a technique that can model improvement in worker’s ability as a result of repeating similar tasks. By consi

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Bencheikh, Ghita. "Planification conjointe des activités de production et de maintenance en fonction de l'état de santé des ressources." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0005.

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Les systèmes de production étant devenus très développés, utilisent des procédés de plus en plus complexes, et des machines de plus en plus sophistiquées. Cependant, aussi puissantes qu’elles soient, l’état de santé des machines se dégrade avec le temps et à force de leurs utilisations. Les processus de maintenance sont donc inévitables pour un système de production, car planifier la production sans prendre en compte la maintenance entraîne éventuellement à des replanifications coûteuses. En effet, dans un but d’augmenter la productivité des entreprises, attendre que les défaillances des équip

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Hoyningen-Huene, Wiebke von [Verfasser]. "Essays on integrated maintenance and production scheduling with stochastic failures and non-resumable jobs / Wiebke von Hoyningen-Huene." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/1075190509/34.

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Halčin, Marián. "Algoritmy rozvrhování výroby s dynamickými rekonfiguracemi a údržbou." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363832.

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Thesis deals with the topic of computational scheduling of production with dynamic reconfigurations and maintenance. The problem is formally defined by a mathematical model named Resource Constrained Project Scheduling Problem which was extended by dynamic reconfiguration and maintenance. Number of different schedule generation algorithms were proposed based on this model. Also methods of solution optimization based on genetic algorithms were described. The typology of production orders of which different task types are created was described in the experimental part. The result of the experime

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Todosijević, Raca. "Contributions théoriques et pratiques pour la recherche dispersée, recherche à voisinage variable et matheuristique pour les programmes en nombres entiers mixtes." Thesis, Valenciennes, 2015. http://www.theses.fr/2015VALE0024/document.

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Cette thèse comporte des résultats théoriques et pratiques sur deux métaheuristiques, la Recherche Dispersée et la Recherche Voisinage variable (RVV), ainsi que sur des Matheuristiques. Au niveau théorique, la contribution principale de cette thèse est la proposition d’un algorithme de recherche dispersée avec l’arrondi directionnel convergent pour les programmes en nombres entiers mixtes (0-1 MIP), avec une preuve de cette convergence en un nombre fini d’itérations. En se basant sur cet algorithme convergeant, deux implémentations et plusieurs heuristiques sont proposées et testées sur des in

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Books on the topic "Production Maintenance Scheduling"

1

Palmer, Doc. Maintenance planning and scheduling handbook. McGraew-Hill, 1999.

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Nyman, Don. Maintenance planning, scheduling, and coordination. 2nd ed. Industrial Press, Inc., 2010.

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Shahidehpour, M. Maintenance scheduling in restructured power systems. Kluwer Academic Publishers, 2000.

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A, Rahim M., and Ben-Daya M, eds. Integrated models in production planning, inventory, quality, and maintenance. Kluwer Academic Publishers, 2001.

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Rahim, M. A. Integrated Models in Production Planning, Inventory, Quality, and Maintenance. Springer US, 2001.

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Boyce, Chris. Improved safety indices for prioritizing bridge projects. Center for Transportation Research, Bureau of Engineering Research, University of Texas at Austin, 1987.

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Schröder, Helmut. Integration von Planung und Steuerung in Reparatursystemen. Minerva Publikation, 1988.

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International Business Machines Corporation. International Technical Support Organization, ed. Certification guide series: IBM Tivoli provisioning manager express for software distribution V4.1. IBM International Technical Support Organization, 2006.

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Vasfi, Gucer, and International Business Machines Corporation. International Technical Support Organization., eds. Certification guide series. International Technical Support Organization, 2008.

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Maintenance Planning and Scheduling Handbook. McGraw-Hill Education, 2012.

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Book chapters on the topic "Production Maintenance Scheduling"

1

Berrichi, Ali, and Farouk Yalaoui. "Multi-Objective Metaheuristics for the Joint Scheduling of Production and Maintenance." In Metaheuristics for Production Scheduling. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118731598.ch11.

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Alemão, Duarte, Mafalda Parreira-Rocha, and José Barata. "Production and Maintenance Scheduling Supported by Genetic Algorithms." In Precision Assembly in the Digital Age. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05931-6_5.

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Abderrazzak, Sabri, Allaoui Hamid, and Souissi Omar. "Stochastic Dynamic Programming for Earliness-Tardiness Single Machine Scheduling with Maintenance Considerations." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85914-5_29.

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Rebai, Maher, Imed Kacem, and Kondo H. Adjallah. "Evolutionary Algorithm for Scheduling Production Jobs and Preventive Maintenance Activities." In Business Process Management Workshops. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28115-0_15.

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Miller, Eddi, Tobias Kaupp, and Jan Schmitt. "Cascaded Scheduling for Highly Autonomous Production Cells with AGVs." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_43.

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AbstractHighly autonomous production cells are a crucial part of manufacturing systems in industry 4.0 and can contribute to a sustainable value-adding process. To realize a high degree of autonomy in production cells with an industrial robot and a machine tool, an experimental approach was carried out to deal with numerous challenges on various automation levels. One crucial aspect is the scheduling problem of tasks for each resource (machine tool, tools, robot, AGV) depending on various data needed for a job-shop scheduling algorithm. The findings show that the necessary data has to be deriv

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Kopanos, Georgios M., and Luis Puigjaner. "Integrated Operational and Maintenance Planning of Production and Utility Systems." In Solving Large-Scale Production Scheduling and Planning in the Process Industries. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01183-3_9.

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Niu, Ben, Ying Bi, Felix T. S. Chan, and Z. X. Wang. "SRBFO Algorithm for Production Scheduling with Mold and Machine Maintenance Consideration." In Intelligent Computing Theories and Methodologies. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22186-1_73.

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Netto, Rolando Jacyr Kurscheidt, Eduardo de Freitas Rocha Loures, Eduardo Alves Portela Santos, and Cleiton Ferreira dos Santos. "Joint Industrial Preventive Maintenance and Production Scheduling: A Systematic Literature Review." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17629-6_64.

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Benbouzid, Fatima, Christophe Varnier, and Nourredine Zerhouni. "Resolution of joint maintenance/production scheduling by sequential and integrated strategies." In Artificial Neural Nets Problem Solving Methods. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44869-1_99.

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Camilotti, Lucas, Rolando Kurscheidt, Eduardo Loures, Eduardo Portela, and Roberto Freire. "A Review of Maintenance Scheduling Methods in the Context of Industry 4.0." In Proceedings of the 11th International Conference on Production Research – Americas. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36121-0_35.

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Conference papers on the topic "Production Maintenance Scheduling"

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Chen, Ming, Yu Kang, and Pengfei Li. "Joint Optimization of Maintenance and Production Scheduling for Multi-component Systems." In 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM). IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629314.

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Hong, Mudan, Juan Liu, and Fei Qiao. "Collaborative Optimization of Semiconductor Manufacturing Production and Opportunistic Maintenance Scheduling based on QMIX." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10865798.

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Kullerd, S. L., P. Schlunt, R. A. Sulit, and F. West. "Sima Intermediate Maintenance Activity Corrosion Control Shop." In CORROSION 1989. NACE International, 1989. https://doi.org/10.5006/c1989-89603.

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Abstract The U.S. Navy’s Shore Intermediate Maintenance Activity Corrosion-Control Shops delivery metallized aluminum, organic powder and paint coating services to ships to reduce ship’s force manhours expended on preservation. In addition to the coating services offered, the corrosion-control shops provide installation materials to ship’s personnel to properly reassemble the component and reinstall aboard the ship. Planning and scheduling of ship’s work into a corrosion control shop has been accomplished through the development ship specific work packages, corrosion control shop specific indu

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Boufellouh, Radhwane, Fayçal Belkaid, and Taha Arbaoui. "An Improved Bi-Objective Randomized Local Search Heuristic for a Resource-Constrained Joint Production & Maintenance Scheduling Problem." In 2024 International Conference of the African Federation of Operational Research Societies (AFROS). IEEE, 2024. https://doi.org/10.1109/afros62115.2024.11037163.

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Souza, Tayn� E. G., Let�cia C. dos Santos, and Caio R. Soares. "A Digital Scheduling Hub for Natural Gas Processing: a Petrobras Case-Study Using Rigorous Process Simulation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.161139.

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To address the dynamic operational demands of the gas processing sector, which is continuously evolving due to gas market opening, increase in natural gas production, and the growing challenge of upstream-midstream integration in a competitive environment, this work presents the Integrated-Gas-Scheduling-System, IntegraGAS. The proposed methodology innovates by using first principles rigorous process simulation coupled with a scheduling tool for short/medium/long-term, enabling gas plants to swiftly adapt to varying operational conditions and meet the requirements of this new market. IntegraGA

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Viedt, Isabell, Michel Gro�e (n� Mock), and Leon Urbas. "Development of a hybrid, semi-parametric Simulation Model of an AEM Electrolysis Stack Unit for large-scale System Simulations." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.129325.

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A key technology for integrating fluctuating renewable energy into the process industry is the production of green hydrogen through water electrolysis plants. Scaling up electrolysis plant capacity remains a significant challenge for the renewable energy transition. System simulation of large-scale electrolysis plants can support process design, monitoring, optimization, and maintenance scheduling. Hybrid modeling methods are promising for improving simulation reliability by combining process knowledge with process data, addressing gaps in understanding of the underlying processes. These hybri

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Verheyleweghen, Adriaen, Himanshu Srivastav, Anne Barros, and Johannes Jäschke. "Combined Maintenance Scheduling and Production Optimization." In Proceedings of the 29th European Safety and Reliability Conference (ESREL). Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2724-3_0253-cd.

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Kiani, Amirkiarash, and Sharareh Taghipour. "Joint optimization of maintenance and production scheduling." In 2017 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2017. http://dx.doi.org/10.1109/ram.2017.7889710.

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Shen, Lu, Hongbing Yang, Sheng Gao, and Jia Fang. "Production Scheduling with Mould Maintenance in Flow Shop." In 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/icsma-16.2016.126.

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Almuhtady, Ahmad, Seungchul Lee, and Jun Ni. "Joint Maintenance and Production Planning by Maintenance-Optimal Swapping." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1076.

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Degradation is an inevitable course of any manufacturing tool, machine or system. The degradation of the health state of manufacturing tools results in some sort of an ineludible maintenance action which could be both costly and occurring during critical production time. In many manufacturing systems, a fleet of identical machines are assigned different tasks (or products) towards satisfying production requirements. We re-introduce the maintenance-optimal resource allocation planning scheme [1] (presented in MSEC2012) and focus on the solution of the generated mathematical model. The planning

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Reports on the topic "Production Maintenance Scheduling"

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Kong, Zhihao, and Na Lu. Determining Optimal Traffic Opening Time Through Concrete Strength Monitoring: Wireless Sensing. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317613.

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Construction and concrete production are time-sensitive and fast-paced; as such, it is crucial to monitor the in-place strength development of concrete structures in real-time. Existing concrete strength testing methods, such as the traditional hydraulic compression method specified by ASTM C 39 and the maturity method specified by ASTM C 1074, are labor-intensive, time consuming, and difficult to implement in the field. INDOT’s previous research (SPR-4210) on the electromechanical impedance (EMI) technique has established its feasibility for monitoring in-situ concrete strength to determine t

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