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Journal articles on the topic 'Production Maintenance Scheduling'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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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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2

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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3

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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4

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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6

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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7

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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8

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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9

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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10

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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11

Lei, Yong, Jianbo Liu, Jun Ni, and Jay Lee. "Production line simulation using STPN for maintenance scheduling." Journal of Intelligent Manufacturing 21, no. 2 (2008): 213–21. http://dx.doi.org/10.1007/s10845-008-0194-1.

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12

Zhu, Kai. "A Joint Optimization Model of Production Scheduling and Maintenance Based on Data Driven for a Parallel-Series Production Line." Journal of Mathematics 2021 (September 27, 2021): 1–11. http://dx.doi.org/10.1155/2021/7588559.

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The maintenance of a production line is becoming more important with the development of demanding higher operational efficiency and safety in industrial system. However, a production line often operates under dynamically operational and environmental conditions and the production scheduling is also a very important factor for the maintenance of a production line. First, this paper proposes an integrated data-driven model that coordinates maintenance planning decisions with production scheduling decisions to solve the problem of scheduling and maintenance planning for a parallel-series producti

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13

Adewole, Mark Adegbola, David Adeyeye Ademola, Ekepre Charles-Owaba Oliver, and Sarah Okunade Oladunni. "Contiguous-cells transportation model for multi-objective non-pre-emptive production and maintenance scheduling." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 036–49. https://doi.org/10.5281/zenodo.4478434.

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The long-standing issue of non-pre-emption in ‘multi-period’ production/maintenance (P/M) scheduling has always been a challenge and this has been the focus of many researchers. Recently, the Contiguous-Cells Transportation Model (CCTM) was proposed to address this problem. However, the CCTM is limited to non-pre-emptive P/M scheduling decision situations where only one objective is of concern. The multiple objective non-pre-emptive P/M scheduling are encountered more frequently in the real world than the single objective case. This study proposed the Multi-Objective Contiguous-Cel

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14

Poyrazoglu and Oh. "Co-Optimization of Transmission Maintenance Scheduling and Production Cost Minimization." Energies 12, no. 15 (2019): 2931. http://dx.doi.org/10.3390/en12152931.

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Regular transmission maintenance is important to keep the infrastructure resilient and reliable. Delays providing on-time maintenance increase the forced outage rate of those assets, causing unexpected changes in the operating conditions and even catastrophic consequences, such as local blackouts. The current process of maintenance schedule is based on the transmission owners’ choice, with the final decision of system operator about the reliability. The requests are examined on a first-come, first-served basis, which means a regular maintenance request may be rejected, delaying the tasks that

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15

Adewole Mark Adegbola, Ademola David Adeyeye, Oliver Ekepre Charles-Owaba, and Oladunni Sarah Okunade. "Contiguous-cells transportation model for multi-objective non-pre-emptive production and maintenance scheduling." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 036–49. http://dx.doi.org/10.30574/gjeta.2020.5.3.0059.

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The long-standing issue of non-pre-emption in ‘multi-period’ production/maintenance (P/M) scheduling has always been a challenge and this has been the focus of many researchers. Recently, the Contiguous-Cells Transportation Model (CCTM) was proposed to address this problem. However, the CCTM is limited to non-pre-emptive P/M scheduling decision situations where only one objective is of concern. The multiple objective non-pre-emptive P/M scheduling are encountered more frequently in the real world than the single objective case. This study proposed the Multi-Objective Contiguous-Cells Transport

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16

Wu, Ouyang, Ave Giancarlo Dalle, Iiro Harjunkoski, et al. "Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation." Computers & Chemical Engineering 135 (January 13, 2020): 106734. https://doi.org/10.1016/j.compchemeng.2020.106734.

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Performance decay due to asset degradation is an important constraint in industrial production and therefore needs to be actively considered. This paper focuses on short-term scheduling for multiproduct batch processes with sequence-dependent degradation and is motivated by a case study in which the sequence of multiple-grade batch runs impacts evolution of fouling. A continuous-time scheduling formulation is proposed to incorporate realistic features of the case study processes. The precedence scheduling concept for the sequential process is employed to model sequences of multiproduct orders

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17

Lee, Seungchul, and Jun Ni. "Joint decision making for maintenance and production scheduling of production systems." International Journal of Advanced Manufacturing Technology 66, no. 5-8 (2012): 1135–46. http://dx.doi.org/10.1007/s00170-012-4395-6.

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18

Li, Ruiqiu, and Huimin Ma. "Integrating Preventive Maintenance Planning and Production Scheduling under Reentrant Job Shop." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6758147.

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This paper focuses on a preventive maintenance plan and production scheduling problem under reentrant Job Shop in semiconductor production. Previous researches discussed production scheduling and preventive maintenance plan independently, especially on reentrant Job Shop. Due to reentrancy, reentrant Job Shop scheduling is more complex than the standard Job Shop which belongs to NP-hard problems. Reentrancy is a typical characteristic of semiconductor production. What is more, the equipment of semiconductor production is very expensive. Equipment failure will affect the normal production plan.

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19

Tambe, Pravin P., and Makarand S. Kulkarni. "Selective maintenance optimization under schedule and quality constraints." International Journal of Quality & Reliability Management 33, no. 7 (2016): 1030–59. http://dx.doi.org/10.1108/ijqrm-10-2014-0153.

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Purpose – The traditional practice for maintenance, quality control and production scheduling is to plan independently irrespective of an interrelationship exist between them. The purpose of this paper is to develop an approach for integrating maintenance, quality control and production scheduling. The objective is to investigate the benefits of the integrated effect in terms of the expected total cost of system operation of the three functions. Design/methodology/approach – The proposed approach is based on the conditional reliability of the components. Cost model for integrating selective ma

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20

Farahani, Ameneh, Hamid Tohidi, Mehran Khalaj, and Ahmad Shoja. "Partial flexible job shop scheduling considering preventive maintenance and priorities." WPOM-Working Papers on Operations Management 11, no. 2 (2020): 27. http://dx.doi.org/10.4995/wpom.v11i2.14187.

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<p>In this paper, a new mathematical programming model is proposed for a partial flexible job shop scheduling problem with an integrated solution approach. The purpose of this model is the assignment of production operations to machines with the goal of simultaneously minimizing operating costs and penalties. These penalties include delayed delivery, deviation from a fixed time point for preventive maintenance, and deviation from the priorities of each machine. Considering the priorities for machines in partial flexible job shop scheduling problems can be a contribution in closer to the

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21

Maierhofer, Alexandra, Sebastian Trojahn, and Frank Ryll. "Dynamic Scheduling and Preventive Maintenance in Small-Batch Production: A Flexible Control Approach for Maximising Machine Reliability and Minimising Delays." Applied Sciences 15, no. 8 (2025): 4287. https://doi.org/10.3390/app15084287.

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Single- and small-batch production requires flexible production control to maximise machine reliability and minimise delivery delays. Existing planning approaches often do not take into account the dynamic production conditions of these environments, where machine breakdowns, variable order volumes and short-term changes lead to inefficiencies. This paper presents an enhanced job-shop scheduling model that integrates preventive maintenance strategies directly into production control. Using a mixed-integer programming approach, machine allocation and maintenance measures are optimised simultane

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22

Chuan-Kai Wu, Chuan-Kai Wu, Xiang-Yun Yi Chuan-Kai Wu, Zhi-Fei Guo Xiang-Yun Yi, Guang-Yu Chu Zhi-Fei Guo, and Ya-Min Wang Guang-Yu Chu. "Application of Deep Learning in Parameter Optimization of Automatic Production Process in Hot Rolling Production Line." 電腦學刊 35, no. 6 (2024): 123–36. https://doi.org/10.53106/199115992024123506010.

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<p>China is a major producer of steel and a pillar industry of the national economy, with huge coal consumption. With the increasingly prominent problem of energy shortage, traditional industrial models are constantly being transformed and upgraded using information technology, and a comprehensive energy information management system is being constructed. This article focuses on the production scheduling optimization problem of steel hot rolling production process. Firstly, based on the hot rolling process flow, the operation and maintenance time consumption of hot rolling equipment and

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23

Kolus, Ahmet, Ahmed El-Khalifa, Umar M. Al-Turki, and Salih Osman Duffuaa. "An integrated mathematical model for production scheduling and preventive maintenance planning." International Journal of Quality & Reliability Management 37, no. 6/7 (2020): 925–37. http://dx.doi.org/10.1108/ijqrm-10-2019-0335.

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PurposeThe integration between production scheduling and maintenance planning is attracting the attention of planners in the manufacturing sector with the increase in global competitiveness. Researchers have developed various methodologies to optimize integrated decisions in planning and scheduling, including mathematical modeling under different conditions. This paper considers the simultaneous scheduling of production and maintenance activities with the objective of minimizing the expected total tardiness cost on a single machine (production line).Design/methodology/approachScheduling in the

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24

Tonke, Daniel, and Martin Grunow. "Maintenance, shutdown and production scheduling in semiconductor robotic cells." International Journal of Production Research 56, no. 9 (2018): 3306–25. http://dx.doi.org/10.1080/00207543.2018.1444809.

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25

Wong, C. S., Felix T. S. Chan, and S. H. Chung. "Decision-making on multi-mould maintenance in production scheduling." International Journal of Production Research 52, no. 19 (2014): 5640–55. http://dx.doi.org/10.1080/00207543.2014.900200.

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26

Tsai, W. C., and Chih-Hsiung Wang. "Extended economic maintenance scheduling for a batch production system." Journal of Information and Optimization Sciences 38, no. 2 (2017): 219–31. http://dx.doi.org/10.1080/02522667.2016.1164986.

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27

Jin, Yu-Lan, Zu-Hua Jiang, and Wen-Rui Hou. "Integrating flexible-interval preventive maintenance planning with production scheduling." International Journal of Computer Integrated Manufacturing 22, no. 12 (2009): 1089–101. http://dx.doi.org/10.1080/09511920903207449.

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28

Palacín, C. G., J. L. Pitarch, C. Jasch, C. A. Méndez, and C. de Prada. "Robust integrated production-maintenance scheduling for an evaporation network." Computers & Chemical Engineering 110 (February 2018): 140–51. http://dx.doi.org/10.1016/j.compchemeng.2017.12.005.

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29

Kröning, Stefan, and Berend Denkena. "Dynamic scheduling of maintenance measures in complex production systems." CIRP Journal of Manufacturing Science and Technology 6, no. 4 (2013): 292–300. http://dx.doi.org/10.1016/j.cirpj.2013.06.001.

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30

Li, Ping. "Application of Operations Research for Production Scheduling." Advanced Materials Research 765-767 (September 2013): 252–55. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.252.

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To properly respond the market trends, the manufactory needs efficient production management. Maintenance scheduling is one of the critical factors to maximize the available machine time in the manufacturing process. Besides, other restrictions should be taken under the consideration, which include: sales forecasting, consideration of inventory level and storage capability for product storage. This paper focuses on using the method of operations research to replace the manual process of production scheduling.

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31

Gao, Zhenhua, and Hengyun Qiao. "A Study of Flexible Job-Shop Scheduling with Dual Constraints." Processes 12, no. 12 (2024): 2649. http://dx.doi.org/10.3390/pr12122649.

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The flexible production job shop was selected as the research object, with the goal of minimizing the maximum completion time. A novel production scheduling model was devised by taking into account the sequence of occurrence of two distinct perturbations, namely preventive maintenance and emergency order insertion, within the same production scheduling plan. This was solved by an improved three-body crossover operator genetic algorithm. Finally, the superiority and effectiveness of the new production scheduling were demonstrated through an illustrative analysis.

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Chen, Xiaohui, Lei Xiao, Xinghui Zhang, Weixiao Xiao, and Junxing Li. "An integrated model of production scheduling and maintenance planning under imperfect preventive maintenance." Eksploatacja i Niezawodnosc - Maintenance and Reliability 17, no. 1 (2015): 70–79. http://dx.doi.org/10.17531/ein.2015.1.10.

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33

Ramadhania, Sherin, Achmad Samudra Dewantara, Nia Sastra Permata, and Muhammad Suryo Panotogomo Abi Suroso. "PREVENTIVE MAINTENANCE MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENANCE II PADA FASILITAS PRODUKSI KRITIS PERUSAHAAN BAJA." JURNAL REKAYASA SISTEM INDUSTRI 10, no. 2 (2025): 58–67. https://doi.org/10.33884/jrsi.v10i2.9418.

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One of the largest steel industries in Indonesia produces cold-rolled sheet steel, with production handled by the Cold Rolling Mill Factory. This study focuses on the Continuous Pickling Line and Continuous Tandem Cold Mill units, which have the highest downtime of 230 hours, resulting in a delay cost of 6 billion Rupiah. The objective is to identify the functions, failures, causes, and impacts on critical components, and to propose appropriate maintenance activities and intervals. Failure information is gathered using failure mode and effect analysis (FMEA), while the appropriate maintenance

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Yuli Setiawannie and Nita Marikena. "Perencanaan Penjadwalan Preventive Maintenance Mesin Pounch dengan Critical Path Method di PT. Grafika Nusantara." INSOLOGI: Jurnal Sains dan Teknologi 1, no. 1 (2022): 01–10. http://dx.doi.org/10.55123/insologi.v1i1.105.

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Maintenance is one of the main activities in the manufacturing sector that greatly affects the quality and quantity of production, production costs, and customer satisfaction. Thus, it is necessary to plan a preventive maintenance schedule to maintain the condition of the machine so that the production process runs optimally. PT. Grafika Nusantara is a paper management industry company specializing in continuous form, printing, and office stationery, whose production process runs continuously. In the production process, the company often has problems with the punch machine, which is one of the

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Xia, Tangbin, Xiaoning Jin, Lifeng Xi, and Jun Ni. "Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling." European Journal of Operational Research 240, no. 3 (2015): 781–90. http://dx.doi.org/10.1016/j.ejor.2014.08.004.

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Paprocka, Iwona, Damian Krenczyk, and Anna Burduk. "The Method of Production Scheduling with Uncertainties Using the Ants Colony Optimisation." Applied Sciences 11, no. 1 (2020): 171. http://dx.doi.org/10.3390/app11010171.

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Production and maintenance tasks apply for access to the same resources. Maintenance-related machine downtime reduces productivity, but the costs incurred due to unplanned machine failures often outweigh the costs associated with predictive maintenance. Costs incurred due to unplanned machine failure include corrective maintenance, reworks, delays in deliveries, breaks in the work of employees and machines. Therefore, scheduling of production and maintenance tasks should be considered jointly. The problem of generating a predictive schedule with given constrains is considered. The objective of

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Sadiqi, Assia, Ikram El Abbassi, Abdellah El Barkany, and Ahmed El Biyaali. "Joint Scheduling of Jobs and Variable Maintenance Activities in the Flowshop Sequencing Problems: Review, Classification and Opportunities." International Journal of Engineering Research in Africa 39 (November 2018): 170–90. http://dx.doi.org/10.4028/www.scientific.net/jera.39.170.

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Much of the scheduling theory assumes that machines are always available to process jobs at any time during the scheduling horizon. However, machines may be unavailable for various reasons in realistic practices, such as unexpected failures or variable maintenance activities. This article discusses in depth the works published in the literature of joint scheduling of jobs and variable maintenance activities in the flowshop sequencing problems. Our literature review focuses first on the basic concepts of scheduling problems, and more specifically, the scheduling strategies of production and mai

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Sa’ad, Aisha, Aimé C. Nyoungue, and Zied Hajej. "An Integrated Production/Maintenance Optimization Planning of a Stand-alone Wind Energy System for Rural Electrification." E3S Web of Conferences 433 (2023): 02002. http://dx.doi.org/10.1051/e3sconf/202343302002.

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The renewable energy industry has gained so much attention due to the global importance attached to it. However, these sources are volatile in nature, hence, it is important to properly plan the production system to ensure continuity. This work focused on production and maintenance of wind energy system as a stand-alone system for rural electrification. The methodology for power production forecast in this work is optimization using machine learning technique; support vector regression (SVR) and estimation from theoretical technique. The production optimization is aimed to determine the optima

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Zheng, Jiafei, Hongbing Yang, Qingsong Wu, and Ziyang Wang. "A two-stage integrating optimization of production scheduling, maintenance and quality." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 234, no. 11 (2020): 1448–59. http://dx.doi.org/10.1177/0954405420921733.

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During the process of actual production, production scheduling, preventive maintenance and quality control have a close interaction with each other and thus need to be integrated for improving manufacturing system performance. The aim of this article is to jointly optimize the job sequence, the preventive maintenance locations, the preventive maintenance interval and decision variables of control chart such that the expected cost per unit time and penalty cost due to schedule delay are minimized. A two-stage integrating optimization model of production scheduling, maintenance and quality in a

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40

Feng, Jianshe, Haoshu Cai, Zongchang Liu, and Jay Lee. "A Systematic Framework for Maintenance Scheduling and Routing for Off-Shore Wind Farms by Minimizing Predictive Production Loss." E3S Web of Conferences 233 (2021): 01063. http://dx.doi.org/10.1051/e3sconf/202123301063.

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Maintenance scheduling and vessel routing are critical for the off-shore wind farm to reduce maintenance costs. In this research, a systematic framework that takes the advantage of predictive analysis for off-shore wind farm maintenance optimization is sketched and the optimization results are presented. The proposed framework consists of three different functional modules - the prognostic and diagnostic (P&D) module, the wind power prediction module, and the maintenance optimization module. The P&D module predicts and diagnoses the system failures based on the operational data of the

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Arena, Simone, Luca Fumagalli, and Mirco Peron. "Special Issue “Advanced Digital Technologies for the Integration of Production and Maintenance”." Applied Sciences 12, no. 23 (2022): 12417. http://dx.doi.org/10.3390/app122312417.

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42

Alhamad, Khaled, Mohsen Alardhi, and Abdulla Almazrouee. "Preventive Maintenance Scheduling for Multicogeneration Plants with Production Constraints Using Genetic Algorithms." Advances in Operations Research 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/282178.

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This paper describes a method developed to schedule the preventive maintenance tasks of the generation and desalination units in separate and linked cogeneration plants provided that all the necessary maintenance and production constraints are satisfied. The proposed methodology is used to generate two preventing maintenance schedules, one for electricity and the other for distiller. Two types of crossover operators were adopted, 2-point and 4-point. The objective function of the model is to maximize the available number of operational units in each plant. The results obtained were satisfying

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43

Chung, S. H., Felix T. S. Chan, and H. K. Chan. "A modified genetic algorithm approach for scheduling of perfect maintenance in distributed production scheduling." Engineering Applications of Artificial Intelligence 22, no. 7 (2009): 1005–14. http://dx.doi.org/10.1016/j.engappai.2008.11.004.

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44

Ba, Zhiyong, and Yiping Yuan. "Evaluation of the Robustness for Integrated Production Scheduling and Maintenance Planning Problem." Applied Sciences 13, no. 4 (2023): 2260. http://dx.doi.org/10.3390/app13042260.

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In this paper, we consider the surrogate measures of robustness for the integration of production scheduling and preventive maintenance planning problem with stochastic machine failures. First, the influence of two categories of maintenance on operation completion time is analyzed. Since it does not come with an exact solution, a novel measure algorithm for evaluating two types of robustness simultaneously is proposed, based on the internal relationships among the scheduling structure, the number and sequence of preventive maintenance activities, the probability and downtime of failures, and t

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45

Abdul Halim, Nurul Nadiah, S. Sarifah Radiah Shariff, and Siti Meriam Zahari. "Single-machine Integrated Production Preventive Maintenance Scheduling: A Simheuristic Approach." MATEMATIKA 36, no. 2 (2020): 113–26. http://dx.doi.org/10.11113/matematika.v36.n2.1168.

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Preventive maintenance (PM) planning becomes a crucial issue in the real world of the manufacturing process. It is important in the manufacturing industry to maintain the optimum level of production and minimize its investments. Thus, this paper focuses on multiple jobs with a single production line by considering stochastic machine breakdown time. The aim of this paper is to propose a good integration of production and PM schedule that will minimize total completion time. In this study, a hybrid method, which is a genetic algorithm (GA), is used with the Monte Carlo simulation (MCS) technique

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Kovács, András, Gábor Erdös, László Monostori, and Zsolt János Viharos. "Scheduling the Maintenance of Wind Farms for Minimizing Production Loss." IFAC Proceedings Volumes 44, no. 1 (2011): 14802–7. http://dx.doi.org/10.3182/20110828-6-it-1002.02366.

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Jiu, Song, Zhili Zhou, and Jiyin Liu. "The equipment maintenance scheduling problem in a coal production system." International Journal of Production Research 51, no. 17 (2013): 5309–36. http://dx.doi.org/10.1080/00207543.2013.808773.

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Ying, Baosheng. "OPTIMIZATION MODEL BY INTEGRATING PREVENTIVE MAINTENANCE PLANNING AND PRODUCTION SCHEDULING." Chinese Journal of Mechanical Engineering 41, no. 03 (2005): 226. http://dx.doi.org/10.3901/jme.2005.03.226.

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Coudert, T., B. Grabot, and B. Archimède. "Production/maintenance cooperative scheduling using multi-agents and fuzzy logic." International Journal of Production Research 40, no. 18 (2002): 4611–32. http://dx.doi.org/10.1080/00207540210159545.

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Alardhi, Mohsen, Roger G. Hannam, and Ashraf W. Labib. "Preventive maintenance scheduling for multi‐cogeneration plants with production constraints." Journal of Quality in Maintenance Engineering 13, no. 3 (2007): 276–92. http://dx.doi.org/10.1108/13552510710780294.

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