Journal articles: 'Total Production Maintenace'

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Singh, Samandar, Prof D. S. Kumani Prof. D. S. Kumani, and Ved Parkash. "Total Productive Maintenance." International Journal of Scientific Research 2, no. 3 (June 1, 2012): 152–53. http://dx.doi.org/10.15373/22778179/mar2013/48.

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K, S. R. Chandra Shashidhar, and Dr Devendra S. Verma. "Human Aspects in Implementation of Total Productive Maintenance." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 326–33. http://dx.doi.org/10.31142/ijtsrd9396.

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Szulc, Tomasz. "Analysis of possibilities of implementation of Total Productive Maintenance (TPM) concept in public services organisations." Mechanik, no. 7 (July 2015): 568/821–568/830. http://dx.doi.org/10.17814/mechanik.2015.7.302.

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Jafari, M. Mohammad, R. Sahebghadam Lotfi, H. Felegari, and A. Hosseini Ghavam. "The Role of Total Productive Maintenance (TPM) In Safety Improvement and Decreasing Incidents in Steel Industry." SIJ Transactions on Industrial, Financial & Business Management 02, no. 04 (August 20, 2014): 06–11. http://dx.doi.org/10.9756/sijifbm/v2i4/0206600101.

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Kot, Sebastian, and Katarzyna Grondys. "Total Productive Maintenance in Enterprise Operations Support Processes." Applied Mechanics and Materials 309 (February 2013): 324–31. http://dx.doi.org/10.4028/www.scientific.net/amm.309.324.

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So far the objective of the concept of TPM has been to increase the effectiveness of production by means of involvement of operative workers at different levels in the assigned tasks. As a result, an enterprise which was focused on profits coming from its basic activity minimized production loss by implementing some preventive measures with regard to technical and technological equipment. Nowadays, the application of the concept of TPM in the area of primary processes may be insufficient to realize the assigned production targets. In the paper there are characterized the support processes which, along with the use of the principles of TPM, constitute a coherent idea while aiming at minimizing loss and not only the production loss.

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Kiełbus, Anna, Dariusz Karpisz, and Tomasz Lipiński. "Process Security as the Aspect of Total Productive Maintenance." System Safety: Human - Technical Facility - Environment 2, no. 1 (March 1, 2020): 292–98. http://dx.doi.org/10.2478/czoto-2020-0036.

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AbstractThe paper presents the importance of process security as one of the parts of Total Production Maintenance. Knowledge about the standards and factors used in monitoring production processes has been systematized. The good manufacturing practices in production continuity management are presented in the article.

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Hipkin, I. B. "A comparison of two maintenance strategies: Reliability-centred maintenance and total productive maintenance." South African Journal of Business Management 24, no. 4 (December 31, 1993): 124–29. http://dx.doi.org/10.4102/sajbm.v24i4.873.

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Improvements in the manufacturing sector have been attained through the use of a variety of management interventions. These have all concentrated on materials management and the production process. One functional area that has been neglected is the maintenance of physical assets. In this article two maintenance management approaches are compared from a philosophical and strategic point of view: reliability-centred maintenance (RCM) and total productive maintenance (TPM). The two are conceptually different, although there are common elements. Reliability-centred maintenance provides a structured methodology and concentrates on technical issues such as failure consequences and the technical feasibility and effectiveness of maintenance, with some emphasis on the human factors. Total productive maintenance seeks to maximize equipment effectiveness by the complete elimination of failures and relies on the work of autonomous groups. Much emphasis is placed on the human component From a strategic point of view, both approaches require organizational changes which may result in a dilution of managerial power.

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Astuti, Marni. "ANALISA TOTAL PRODUCTIVE MAINTENANCE MESIN CINCINNATI DI PT. DIRGANTARA INDONESIA." Conference SENATIK STT Adisutjipto Yogyakarta 2 (November 15, 2016): 25. http://dx.doi.org/10.28989/senatik.v2i0.80.

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The creation of a good product PT. DIRGANTARA INDONESIA assisted with production machines, one of which is the machine CNC MACHINE (DOUBLE CINCINNATI Milacron gantry ALUMINIUM TYPE-F), the role of a machine type-f CNC machine itself is very influential in the existing production process at PT. DIRGANTARA INDONESIA. The lack of treatment systems for the repair and replacement of components caused because the machines that is already beyond the age of many techniques, resulting in the production of the company to become unstable.In this study used methods Overall Equipment Effectiveness (OEE) and the concept of autonomous maintenance and using Failure Mode and Effect Analysis (FMEA) to determine analyze potential errors or failures, it is advisable to keep using autonomous maintenance as minor maintenance. Analysis and discussion of the results obtained OEE decline in 2014 to 2015 is 86.15% to 75.62% drop is due to the low value avalaibility, and get the highest objective value RPN 441 on a 40 point damage to component Servo Off. Solutions to make improvements to enable the Total Productive Maintenance in which includes Autonomous Maintenance. Keywords: Total Productive Maintenance (TPM), Overall Equipment Efectiveness (OEE), Autonomous Maintenance, Failure Mode and Effect Analysis (FMEA)

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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 (February 10, 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 method provides output in the form of preventive maintenance schedule through a purpose function which considers the specified constraints on the company. As the result, the developed model could propose a preventive maintenance schedule which reduces the total tardiness.

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Levner, Eugene, Dror Zuckerman, and Gavriel Meirovich. "Total quality management of a production-maintenance system: A network approach." International Journal of Production Economics 56-57 (September 1998): 407–21. http://dx.doi.org/10.1016/s0925-5273(97)00053-4.

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Ihueze, Chukwutoo, and Paschal Ebisike. "Optimization of Production System: An Application of Total Productive Maintenance (TPM)." Archives of Current Research International 13, no. 1 (March 15, 2018): 1–9. http://dx.doi.org/10.9734/acri/2018/38775.

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Yamada, Tuane Tonani, Marcelo Seido Nagano, and Hugo Hissashi Miyata. "Minimization of total tardiness in no-wait flowshop production systems with preventive maintenance." International Journal of Industrial Engineering Computations 12, no. 4 (2021): 415–26. http://dx.doi.org/10.5267/j.ijiec.2021.5.002.

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Efficient business organizations must balance quality, cost, and time constraints in competitive environments. Reflecting the complexity of this task, we consider manufacturing systems including several stages of production chains requiring time measurement. When production scheduling is not prioritized in such enterprises, several negative effects may occur. A corporation may suffer financial penalties as well as negative brand exposure, and thus may find its credibility challenged. Therefore, in this study, we propose constructive methods to minimize a total tardiness criterion, considering preventative maintenance constraints to reflect the reality of industrial practice, focusing on a no-wait flowshop environment in which jobs are successively processed without operational interruptions. In addition to proposing constructive methods to solve the no-wait flowshop production scheduling problem, a metaheuristic is presented as an approach to improve results obtained by constructive methods. Computational experiments were designed and performed to compare several production scheduling algorithms. Among various constructive heuristics considered, an algorithm called HENLL using an insertion logic showed the best performance. The proposed metaheuristic is based on the iterated greedy (IG) search method, and the results obtained demonstrated significant improvement compared to the heuristics alone. It is expected that this study may be used by production planning and control (PPC) professionals to apply the proposed method to schedule production more efficiently. We show that the proposed method successfully presented a better solution in relation to total tardiness, considering the above mentioned environment.

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Hajej, Zied, Nidhal Rezg, and Salim Bouslikhane. "A Joint Production and Maintenance Optimization of Closed-Loop Production System under Carbon Emission with a Switching Subcontractor Consideration." Applied Sciences 9, no. 6 (March 15, 2019): 1105. http://dx.doi.org/10.3390/app9061105.

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This study outlines a new forecasting problem of closed-loop production system under environmental aspect by proposing a new solution based on subcontracting. By studying the impact of the carbon tax on decision-making of production optimization, we propose an original economic production and maintenance strategies to minimize the total cost. Additionally, to reduce the total quantity of carbon and its tax, the subcontractor has a role to help either manufacturing or remanufacturing unit during the process of production. Indeed, the principle objectives are to determine the economic production plans for manufacturing, remanufacturing and subcontracting units as well as the optimal maintenance planning characterized by the optimal number of preventive maintenance actions for manufacturing unit, minimizing the total cost of production, inventory, carbon penalty and maintenance.

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Xu, Qi, and Jianteng Xu. "Heuristics for the Economic Production Quantity Problem under Restrictions on Production and Maintenance Time." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/8704750.

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This paper proposes an economic production quantity problem with the maximal production run time and minimal preventive maintenance time over a finite planning horizon. The objective is to find the efficient production and maintenance policy to minimize the total cost composed of production, maintenance, shortages, and holding costs under the restriction on the production run time and the preventive maintenance time. The production and maintenance decisions include the production and maintenance frequencies and the production run and the maintenance time. The variability and the boundedness of the production run and maintenance time make the problem difficult to solve. Two heuristic algorithms are developed using different techniques based on the optimal properties of the relaxed problem. The performance comparison between the two algorithms is illustrated by numerical examples. The numerical results show that, for the most part, there exists a heuristic algorithm which is more effective than the other.

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Pascu, Cristina Ileana, Ilie Dumitru, Stefan Gheorghe, and Mihai Nisipasu. "Implementation of Total Productive Maintenance Principles for Quality Improvement in an Automotive Company." Applied Mechanics and Materials 880 (March 2018): 171–76. http://dx.doi.org/10.4028/www.scientific.net/amm.880.171.

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In the automotive field, the application of Lean Manufacturing principles has become a common practice in recent decades. One of the basic methodologies of Lean philosophy is the Total Productive Maintenance (TPM). The TPM includes a number of methods initially designed to ensure the continuous operation of the machines involved in the production process so that production is never interrupted. In this paper some of the most important steps in quality improvement by implementation of TPM in an automotive company are presented. It is described the monthly implementation extent of TPM indicators starting from 2014 until now, especially on the production lines of the factory. Finally, the major benefits of TPM principles implementation in the company are highlighted.

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Reyes, John, Kevin Alvarez, Amanda Martínez, and Juan Guamán. "Total productive maintenance for the sewing process in footwear." Journal of Industrial Engineering and Management 11, no. 4 (November 30, 2018): 814. http://dx.doi.org/10.3926/jiem.2644.

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Purpose: This research proposes an implementation model of Total Productive Maintenance (TPM) based on the analysis of criticality of machines in the sewing process in the Ecuadorian footwear industry and the identification of unproductive times caused by labor failures.Design/methodology/approach: The project uses field research, presents a quantitative approach, the data collection is done in a horizon of 8 months in which the information is condensed in data tables and takes as a case study one of the most successful companies in the Ecuadorian footwear industry for its initiative to innovate their processes and research new technologies that help increase their efficiency.Findings: The results allow to demonstrate the successful application of the proposed model in the industrial sector of footwear with an increase of average production standards of 5% and a reduction in the number of human errors of 72.2%.Practical implications: The model allows to execute several activities in four phases: preparatory, introduction, implementation and consolidation in order to develop TPM in sewing process.Originality/value: The paper describes a case study in a major shoe company with the aim of reducing the times for unscheduled stoppages and the number of failures.

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Thornton, Jack. "Total Immersion." Mechanical Engineering 133, no. 11 (November 1, 2011): 42–45. http://dx.doi.org/10.1115/1.2011-nov-3.

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This article focuses on various aspects of immersive engineering and its application in a product lifecycle. Immersive engineering can shorten development time and reduce production and maintenance costs. Studies show that immersive engineering also improves resource utilization and material flow, increases producibility, and reduces rework and scrap. Various company case studies show that the benefits of immersive engineering include fewer injuries, lower cost of tooling changes, higher quality, and faster time to market. In order to prepare an immersive engineering simulation, tasks under study are performed or mimed by technicians and workers who wear a couple of dozen spherical reflectors or markers that enable the digital replication of their body movements—motion tracking. The advantage of immersive engineering is that issues involving quality, productivity, manufacturability, lifecycle costs, and ergonomics across broad spectrum can be discovered and addressed early, when changes are less costly than they are after a company has invested in tooling or made other commitments.

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Balouei Jamkhaneh, Hadi, Javad Khazaei Pool, Seyed Mohammad Sadegh Khaksar, S. Mohammad Arabzad, and Reza Verij Kazemi. "Impacts of computerized maintenance management system and relevant supportive organizational factors on total productive maintenance." Benchmarking: An International Journal 25, no. 7 (October 1, 2018): 2230–47. http://dx.doi.org/10.1108/bij-05-2016-0072.

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Purpose The application of automated systems is rapidly increasing in different industries and organizations. In this regard, computerized maintenance management systems (CMMS) using information technology play an important role in the automating production systems. The purpose of this paper is to investigate the impacts of CMMSs and relevant supportive organizational factors on the effectiveness of total productive maintenance. Design/methodology/approach This study is classified as a quantitative survey-based research using structural equation modeling. The scope of the study includes manufacturing companies in Iran. A total of 125 questionnaires from 60 companies were collected from January to March 2014 to help validate the conceptual model and test the hypotheses. Findings The results support the concept CMMSs positively relates to relevant supportive organizational factors (resource allocation, decision-making structure, senior management support, employees’ involvement and effective instruction) on the effectiveness of total productive maintenance. The relevant supportive organizational factors can also be seen as the predictors of CMMSs. Originality/value This study integrates the CMMSs and relevant supportive organizational factors in a robust model to examine the effectiveness of total productive maintenance. This study also examines the impacts of CMMSs and relevant supportive organizational factors on total productive maintenance which seems to not be done previously.

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Helmi, D., M. Radouani, B. El fahime, and S. A. Kamel kaya. "Maintenance model based on multi agent system improving the performance to a total quality management." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 9, no. 2 (April 30, 2014): 1593–99. http://dx.doi.org/10.24297/ijmit.v9i2.2844.

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Manufacturers recognize that production systems have no value if the production equipment is unreliable. Nowadaysindustrial maintenance, strategic business function is evolving. It is inter -related to the development of knowledge and technology, the development of new business methods well as the need to reduce costs. It should not only ensure the proper functioning of equipment but also to continually improve their performance, and enhance their lives. All these factors play havoc not only the modes of organization of the maintenance function but also the activities of actors who operate in this area.

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Ozturkoglu, Yucel, and Omer Ozturkoglu. "Propose a Polynomial Time Algorithm for Total Completion Time Objective." International Journal of Mathematical, Engineering and Management Sciences 6, no. 3 (June 1, 2021): 932–43. http://dx.doi.org/10.33889/ijmems.2021.6.3.055.

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In this study, we integrate deteriorate jobs with repair&maintenance activity on a single machine scheduling subject to total completion time. This work has more than one motivation. First, jobs are assigned to machines in an automated production line. Later, to schedule the maintenance activities, if needed, to prevent machinery from breaking down later. There are some important mathematical models to solve this combination. However, due to the complexity of the problem which is Np-hard, a polynomial algorithm should be needed for solving large problems. Therefore, this article introduces several polnomial algorithms to determine the order of things best. With using these algorithms, it will be possible to determine where to assign to the schedule, taking into account the number of maintenance activities required and their optimum total completion time.

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Yang, Xiaona, Can Peng, Lei Jin, and Qiangyi Li. "Unrelated Parallel-Machine Scheduling with Maintenance Activities and Rejection Penalties for Minimizing Total Cost." International Journal of Automation Technology 13, no. 6 (November 5, 2019): 787–95. http://dx.doi.org/10.20965/ijat.2019.p0787.

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During the production process, regular maintenance is necessary and important to maintain high efficiency, because machines inevitably fail with increasing use. However, certain tasks are often neglected due to time and budget constraints, and other factors. In this regard, we propose the unrelated parallel-machine scheduling problem with maintenance and rejection penalties, wherein the ultimate objective is to minimize total cost while identifying the optimal maintenance frequencies, optimal maintenance positions, set of rejected jobs, and optimal scheduled job sequence. Considering resource constraints, the maintenance cost is controlled by the upper bound of the total maintenance frequency. Based on these factors, the optimal polynomial-time solution and its computational complexity with a fixed number of machines are presented. As an illustrative example, it was determined that the scheduling method proposed in this report is effective and practical.

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Kasim, Nazrul Idzham, Mohd Azam Musa, Akhtar Razul Razali, Noraishah Mohamad Noor, and Wan Ahmad Najmuddin Wan Saidin. "Improvement of Overall Equipment Effectiveness (OEE) through Implementation of Total Productive Maintenance (TPM) in Manufacturing Industries." Applied Mechanics and Materials 761 (May 2015): 180–85. http://dx.doi.org/10.4028/www.scientific.net/amm.761.180.

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Today competitive manufacturing requires innovative approaches in the production management, as well as for customer satisfaction. Production management requires an effective and efficient maintenance management system. One approach to improve the performance of the maintenance system is through the implementation of Total Productive Maintenance (TPM). The key performance index to measure the effectiveness of TPM implementation is Overall Equipment Effectiveness (OEE). The TPM activities will eliminate equipment losses related to availability, performance rate, and quality rate. Hence, the TPM implementation will increase the OEE value. This paper outlines the theories of TPM and OEE. The paper also presents the studies carried out by different authors to show the improvement of OEE through implementation of TPM in manufacturing, such as electronic industry, steel manufacturer, as well as locomotive components manufacturer.

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Haming, Puadi, Mahfud Nurnajamuddin, Hamzah Hafied, and Serlin Serang. "Effect of Work Attitude and Total Productive Maintenance on the Overall Equipment Effectiveness and Production Continuity." IRA-International Journal of Management & Social Sciences (ISSN 2455-2267) 7, no. 3 (June 23, 2017): 423. http://dx.doi.org/10.21013/jmss.v7.n3.p3.

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<div><p><em>This study aims to examine and analyze the impact of work attitude, Total Productive Maintenance (TPM) on the Overall Equipment Effectiveness (OEE) and production continuity and the other effect of Work Attitude and Total Productive Maintenance (TPM) on production continuity: The mediating role of Overall Equipment Effectiveness (OEE). The research was conducted at PT. Semen Tonasa i.e. units II to V unit which is the largest cement producer in eastern Indonesia. Withdrawal of respondents did with the criteria that only respondents yang having their respective sectors and who have work experience of at least one year were used as samples. Results of analysis Partial Least Square (PLS) Version 2.0.M3 used in analyzing the contribution of exogenous variables on endogenous variables directly, Sobel Test was used for pushing analyze the contribution of the indirect effect (mediation) whereas importance- performance analysis (IPA) to analogous interpret the relationship loading factor value and the average value. The results of this study provide evidence of work attitude has a positive and significant effect on the overall equipment effectiveness (OEE), total productive maintenance (TPM) has a positive and significant effect on overall equipment effectiveness (OEE), work attitude, total productive maintenance (TPM) and overall equipment effectiveness (OEE) positive and significant impact on production continuity.</em></p></div>

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Fam, Soo-Fen, Ser Lee Loh, M. Haslinda, Heri Yanto, Linda Mei Sui Khoo, and Diana Hwa Yieng Yong. "Overall Equipment Efficiency (OEE) Enhancement in Manufacture of Electronic Components & Boards Industry through Total Productive Maintenance Practices." MATEC Web of Conferences 150 (2018): 05037. http://dx.doi.org/10.1051/matecconf/201815005037.

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In an environment of intense global competition, both creative and proven strategies need to be considered in order to bring about the effectiveness and efficiency in manufacturing operation. Total Productive Maintenance (TPM) is one of the effective maintenance strategy in enhancing the equipment effectiveness and to achieve a significant competitive advantage. This research paper addresses the impact of three TPM pillars namely planned maintenance (PM), autonomous maintenance (AM) and focused maintenance (FM) on overall equipment effectiveness (OEE) of die attach equipment in the production line of semiconductor industry. The effect of TPM on the OEE is also investigated depending on the equipment types, in where die attach process consist of two models-CANON and ESEC. The primary data was collected from an organization's database and was analysed by SPSS V23. The preliminary results of the analysis showed that the performance of OEE in ESEC is better than the CANON after the implementation of TPM. The analysis also showed that out of the three TPM practices deployed, planned maintenance of equipment by production and maintenance team played the biggest role in increasing the equipment effectiveness. In conclusion, this study provides insights the importance of implementing TPM in order to succeed in a highly demanding market arena.

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Cai, Yiwei, John J. Hasenbein, Erhan Kutanoglu, and Melody Liao. "SINGLE-MACHINE MULTIPLE-RECIPE PREDICTIVE MAINTENANCE." Probability in the Engineering and Informational Sciences 27, no. 2 (March 28, 2013): 209–35. http://dx.doi.org/10.1017/s0269964812000423.

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This paper studies a multiple-recipe predictive maintenance problem with M/G/1 queueing effects. The server degrades according to a discrete-time Markov chain and we assume that the controller knows both the machine status and the current number of jobs in the system. The controller's objective is to minimize total discounted costs or long-run average costs which include preventative and corrective maintenance costs, holdings costs, and possibly production costs. An optimal policy determines both when to perform maintenance and which type of job to process. Since the policy takes into account the machine's degradation status, such control decisions are known as predictive maintenance policies. In the single-recipe case, we prove that the optimal policy is monotone in the machine status, but not in the number of jobs in the system. A similar monotonicity result holds in the two-recipe case. Finally, we provide computational results indicating that significant savings can be realized when implementing a predictive maintenance policies instead of a traditional job-based threshold policy for preventive maintenances.

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Hajej, Zied, Nidhal Rezg, and Gharbi ali. "An optimal production/maintenance strategy under lease contract with warranty periods." Journal of Quality in Maintenance Engineering 22, no. 1 (March 14, 2016): 35–50. http://dx.doi.org/10.1108/jqme-08-2014-0046.

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Purpose – The purpose of this paper is to investigate the optimal production policy and maintenance strategy for leased equipment under a lease contract with warranty periods. In order to have steady revenue, the lessor (owner) of the equipment may provide guaranty periods to encourage the lessee to sign a lease contract with a longer lease period. Design/methodology/approach – Under this production/maintenance scheme, the mathematical model of the expected total cost is developed and the optimal production planning and the corresponding optimal maintenance policy are derived by choosing the optimal warranty periods for the lessee in order to minimize the total cost. Findings – The influence of the production rates variation in the equipment degradation is considered by an increased failure rate according to both time and production rates. The impact of warranty periods on optimal maintenance planning will be studied thereafter. Finally, numerical examples are given to illustrate the analytical study and the effects of the warranty periods variation during the lease periods on the maintenance policy and consequently on the total cost. Originality/value – The paper proposes a new idea of production and maintenance coupling in the leasing aspect. This study shows that it has a novelty and originality relative to this type of problem which considers and proposes a new maintenance strategy for leasing contract. This originality characterized by the influence of two factors on the equipment maintenance strategy. First factor is the influence of the production variation production rates on the machine degradation degree that is new in the literature charactering by analytical equation that shows the evolution of the machine failure rate according to its use (which is in our case the production rate for each period) respecting in the same time the continuity of the equipment reliability for a period to another.

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Ettaye, Ghita, Abdellah El Barkany, and Ahmed El Khalfi. "Modeling and Optimization a Production/Maintenance Integrated Planning." International Journal of Engineering Research in Africa 28 (January 2017): 169–81. http://dx.doi.org/10.4028/www.scientific.net/jera.28.169.

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This study is on the integrated planning problem of maintenance and production within the frame work of a system subject to periodic preventive replacements with minimal repairs in case of unplanned failures. A model was developed using the overall cost by considering the interdependence between the maintenance plan and the production schedule. The overall cost contains two parts: the costs of launching a product, production, storage and breaking on the demand and the preventive and corrective maintenance costs for multi-periods and multi-products systems. The purpose of this integration is to find simultaneously the optimal cycle T at which the preventive maintenance takes place and the optimal values of lot-size by adding the setup time constraint. Using the mixed integer linear programming these optimal values minimize the total cost over a finite horizon. The results show that the proposed model performs quite well and opens new research direction for future improvements.

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Mifdal, Lahcen, Zied Hajej, and Sofiene Dellagi. "Joint Optimization Approach of Maintenance and Production Planning for a Multiple-Product Manufacturing System." Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/769723.

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This paper deals with the problem of maintenance and production planning for randomly failing multiple-product manufacturing system. The latter consists of one machine which produces several types of products in order to satisfy random demands corresponding to every type of product. At any given time, the machine can only produce one type of product and then switches to another one. The purpose of this study is to establish sequentially an economical production plan and an optimal maintenance strategy, taking into account the influence of the production rate on the system’s degradation. Analytical models are developed in order to find the production plan and the preventive maintenance strategy which minimizes sequentially the total production/inventory cost and then the total maintenance cost. Finally, a numerical example is presented to illustrate the usefulness of the proposed approach.

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Wendt, I. R., and C. L. Gibbs. "Energy expenditure of longitudinal smooth muscle of rabbit urinary bladder." American Journal of Physiology-Cell Physiology 252, no. 1 (January 1, 1987): C88—C96. http://dx.doi.org/10.1152/ajpcell.1987.252.1.c88.

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Heat production, oxygen consumption, and lactate production of longitudinal smooth muscle from rabbit urinary bladder has been measured at 27 degrees C. In isometric contractions (initiated by 1-Hz electrical stimulation) ranging in duration from 2 to 300 s, total energy expenditure correlated linearly with the force-time integral. For any given force-time integral oxygen consumption could account for only approximately 60% of the total energy measured as heat production. A substantial contribution of aerobic lactate production to the total energy flux was observed. This lactate production was also linearly correlated with force-time integral and was of sufficient magnitude to account for the discrepancy between total energy expenditure determined as heat production and oxygen consumption. The suprabasal rate of energy expenditure during the maintenance of force was approximately 2.6 mW/g and remained constant throughout contractions of up to 5-min duration, suggesting that in this muscle there is no change in the energetic cost of force maintenance with increasing duration of contraction. The rate of energy expenditure during the initial period of force development was, however, about twofold greater than that during subsequent force maintenance, indicating that there is an extra energy cost associated with the activation of contraction and development of force above that required for force maintenance.

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Okhovat, Mohammad Amin, Taravatsadat Nehzati, Amin Pouriran, Shahriar Fakhar, and Mohd Khairol Anuar Mohd Ariffin. "Improving Equipment Effectiveness by Designing Optimal Production Process." Advanced Materials Research 383-390 (November 2011): 6363–69. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.6363.

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Reliable manufacturing equipment is an indispensable factor to the performance and proﬁtability of manufacturing systems. Total productive maintenance (TPM) has been recognized as a comprehensive manufacturing strategy to maximize equipment reliability and effectiveness through rooting out all manufacturing losses. Availability of equipment is a focus area in TPM to improve effectiveness throughout the lifetime of the equipment. This study develops a mixed integer linear programming model to increase equipment availability considering maintenance cost of each machine in the system. The main objective is minimizing total cost while designing optimal material flows between different operational levels of manufacturing process. A hypothetical problem is presented and solved by the developed model.

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Lin, Xiang Jie, Qiang Lin, and Guang Na Zhang. "Effectivity of Total Productive Maintenance (TPM) in Large Size Organizations – A Case Study in Shandong Lingong." Applied Mechanics and Materials 701-702 (December 2014): 1249–52. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.1249.

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Poor information of TPM case study can be found, which is important for TPM implementation. This paper introduced TPM implementation in Shandong Lingong (SDLG) with two years of data collection and practice. The company conducted equipment classification, production plan improvement, failure rate reduction, spare parts management and staff training practices based on MTTR, MTBF and OEE figures. Results showed that MTTR is complicate while MTBF and OEE showed better fits with the company reality of TPM. Thorough the practice and execution of TPM the company get better OEE and less breakdown time, which increase the production efficiency in the end.

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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 (June 1, 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 example was given to show how the model and algorithm work.

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Duques Maciel Filho, Aglei, Jonas Gomes da Silva, and Mariana Sarmanho de Oliveira Lima. "Impact of Autonomous Maintenance on a PIM Production Line." International Journal for Innovation Education and Research 7, no. 12 (December 31, 2019): 385–98. http://dx.doi.org/10.31686/ijier.vol7.iss12.2084.

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To increase the competitiveness of their products, companies have sought to identify and eliminate losses in their production processes to reduce production costs. One of the six major process losses established by the Total Productive Maintenance (TPM) philosophy is related to equipment downtime in the production environment. This paper analyzes the impacts of the implementation of autonomous maintenance through the eight-step analysis implemented by a project developed in line 3 of the welding sector of a factory located in the city of Manaus, capital of Amazonas, Brazil. To this end, the indicators were evaluated, establishing the solution priority, defining the necessary actions and implementing them. Upon completion of the project, there was a 39% increase in operators' knowledge of machines and autonomous maintenance procedures, as well as a 75% reduction in line equipment downtime, increasing the availability from 94.9% to 98.7%, allowing to verify the effects of the execution of the autonomous maintenance activities.

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dos Reis, Rubens Alberto, Rui Francisco Martins Marçal, and Dani Juliano Czelusniak. "Maintenance of Hot Processing Apparatus in Steel Industries: Effects on Production Output." Advanced Materials Research 1061-1062 (December 2014): 1250–57. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1250.

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This paper states and alerts over the overall and attribution of cooling and heating times of apparatus or furnaces as the indicators utilized for the assessment of the maintenance performance and production planning. It states that, where the variable temperature is present in any hot processing apparatus of the steel industries, the maintenance group should act integrated with production in order to adequate the planning practices sharing the responsibilities. The time of apparatus stoppage or operational unavailability for production does not follow the standard and attribution as an indicator for the “time taken to repair” or the “time without production”, which depends on the cause of the needs to stop. In the case of maintenance process, such times are recorded as the total time of intervention. Through the survey was possible to assert that the cooling and heating times are not considered separately. Ratios between the total time of stoppage with cooling time, repair maintenance time, and heating time ready for production were investigated. The conclusion of the study shows that integrated planning is an important factor for optimized planning and control for the efficacy of production output of the company.

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Tambe, Pravin P., and Makarand S. Kulkarni. "Selective maintenance optimization under schedule and quality constraints." International Journal of Quality & Reliability Management 33, no. 7 (August 1, 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 maintenance, quality control using sampling-based procedure and production scheduling is developed using the conditional reliability. An integrated approach is such that, first an optimal schedule for the batches to be processed is obtained independently while the maintenance and quality control decisions are optimized considering the optimal schedule on the machine. The expected total cost of conventional approach, i.e. “No integration” is calculated to compare the effectiveness of integrated approach. Findings – The integrated approach have shown a higher cost saving as compared to the independent planning approach. The approach is practical to implement as the results are obtained in a reasonable computational time. Practical implications – The approach presented in this paper is generic and can be applied at planned as well as unplanned opportunities. The proposed integrated approach is dynamic in nature, as during maintenance opportunities, it is possible to optimize the decision on maintenance, quality control and production scheduling considering the current age of components and production requirement. Originality/value – The originality of the paper is in the approach for integration of the three elements of shop floor operations that are usually treated separately and rarely touched upon by researchers in the literature.

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Iuchi, T., T. Nakamura, Y. Matoba, M. Oosawa, K. Harada, K. Ishii, K. Arai, and S. Hayato. "Total solution for RO system with our RO chemical line up." Water Practice and Technology 13, no. 2 (June 1, 2018): 362–70. http://dx.doi.org/10.2166/wpt.2018.036.

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Abstract Water shortages around the world pose a challenge to all living beings, as well as to humanity's abilityto sustain a high quality of life. Reverse osmosis (RO) technology, such as seawater desalination and wastewater reclamation, has become one solution for preventing water shortages. Improving the operation of RO facilities can increase water production. Kurita Water Industries Ltd. has more than 40 years' experience in engineering, operations and maintenance, and optimization of RO facilities, and today we assist RO operators to improve operating conditions with our KURIVERTER™ Treatment Program, which consists of unique chemicals for stable operation of RO systems. The treatment includes maintenance chemicals (for example, scale inhibitors and slime control agents) and emergency chemicals, such as membrane deterioration. This paper introduces case studies of KURIVERTER™ IK-110 with S.sensing™ B equipment to minimize biological fouling that causes downtime, and also the KURIVERTER™ RC series to recover deteriorated RO membrane performance. The key technology behind the KURIVERTER™ Treatment Program is our specialty product, the KURIVERTER™ IK-110 with S.sensing™ B. Using these technologies, an actual RO facility achieved a 14% production increase and a 28% unit cost reduction for permeate. The KURIVERTER™ RC series could recover damaged RO membranes at commercial plants and prolong their effectiveness for more than 3 months at a cost reduction of 60%.

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Cao, Xian Gang, Meng Yuan Zhang, Yu Rong Gong, Xiao Lin Jia, and Rui Yuan Zhang. "Maintenance decision method considering inspection of mining equipment." International Journal of Metrology and Quality Engineering 12 (2021): 21. http://dx.doi.org/10.1051/ijmqe/2021018.

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In coal mining industry, equipment safety and reliability during operation are essential in the production process. In recent years, along with the continuous improvement of intelligent coal mining equipment, reliable production requirements have simultaneously increased. Therefore, this article aims to study the maintenance decision making method that considers the safety inspection of a fully mechanized mining equipment group. The goal is to establish a maintenance decision making model that considers the safety overhaul of fully mechanized mining equipment group in order to minimize the total maintenance, production costs and safety risks. Firstly, the regular safety inspection procedure and the maintenance process were introduced. Then, a model guideline method that considers a fully mechanized mining equipment group's safety inspection was established. Finally, through the comparison of algorithms and maintenance strategies, it is proved that the maintenance decision optimization method proposed in this paper is of great significance for improving equipment reliability, improving comprehensive operation rate, reducing maintenance costs, and ensuring coal mine safety production.

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BONNET, M., I. LOUVEAU, I. CASSAR-MALEK, L. LEFAUCHEUR, and P. Y. RESCAN. "Comprendre le développement des muscles et des tissus adipeux : un préalable pour maîtriser les qualités des carcasses et des produits des animaux d’élevage." INRA Productions Animales 28, no. 2 (January 13, 2020): 137–50. http://dx.doi.org/10.20870/productions-animales.2015.28.2.3021.

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Les qualités des carcasses et des viandes/chairs des espèces d’intérêt agronomique (mammifères, espèces aviaires et poissons) dépendent en grande partie des caractéristiques et des proportions relatives des différents compartiments tissulaires, principalement les fibres et le tissu conjonctif musculaires et les tissus adipeux. Dans cette revue, nous décrivons la mise en place de ces trois compartiments au cours du développement embryonnaire et foetal, ainsi que leur croissance après la naissance ou l’éclosion. Les fibres musculaires et le tissu conjonctif des muscles du tronc sont issus de domaines embryonnaires distincts de ceux à l’origine des muscles des membres et de la tête. L’origine embryonnaire des adipocytes blancs reste à établir, mais est vraisemblablement multiple et dépendante de la localisation anatomique des tissus adipeux. La croissance post-embryonnaire des muscles et des tissus adipeux implique la prolifération puis la différenciation de cellules progénitrices non-embryonnaires. Le nombre total de fibres musculaires est fixé aux deux tiers ou aux quatre cinquièmes de la gestation chez le bovin et le porc respectivement, et dès la naissance chez les volailles alors qu’il augmente encore après l’éclosion chez certains poissons. Le nombre d’adipocytes augmente durant la croissance foetale et dans une moindre mesure après la naissance. Des interactions entre tissus au cours de la croissance, auparavant suggérées, sont maintenant démontrées par l’identification de protéines sécrétées par les cellules musculaires et adipeuses qui participent au dialogue entre tissus.

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Farsijani, Hassan, Mohsen Shafiei Nikabadi, and Fatemeh Mojibian. "The Role of Total Productive Maintenance in Group Technology to Achieve World-Class Status." International Journal of Applied Industrial Engineering 1, no. 2 (July 2012): 25–35. http://dx.doi.org/10.4018/ijaie.2012070103.

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The purpose of this paper is to illustrate how the World Class Manufacturing (WCM) techniques influence in implementation of Total Productive Maintenance (TPM) in cellular manufacturing. The paper presents an investigation of TPM which can be defined in terms of Overall Equipment Effectiveness (OEE). Then, using a case study in Cement Industry, OEE index that is related with TPM implementation in a cell with performance standards of world class Manufacturing is compared. Implementation of TPM in cellular manufacturing brings competitive advantages such as increasing efficiency and improving maintenance quality in cellular manufacturing systems. The first step to World-Class Manufacturing is to implement TPM successfully and to create a very active organization. When TPM has been a common practice in daily production, it can be said that company has just commenced a journey to world-class manufacturing. So, the originality of this paper is to assessing The Role of Total Productive Maintenance in Group Technology to achieve world-class status.

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Rivera-Gómez, Héctor, Oscar Montaño-Arango, José Corona-Armenta, Jaime Garnica-González, Antonio Ortega-Reyes, and Gustavo Anaya-Fuentes. "JIT Production Strategy and Maintenance for Quality Deteriorating Systems." Applied Sciences 9, no. 6 (March 20, 2019): 1180. http://dx.doi.org/10.3390/app9061180.

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We study the optimal production planning and major maintenance scheduling for an unreliable manufacturing system. We assume that the production unit experiences progressive deterioration that negatively influences product quality. For the production policy, we extend improve traditional threshold policies with a superior alternative, based on a just-in-time (JIT) strategy. The paper brings a new vision on the importance of implementing more effective production strategies based on JIT methods, instead of traditional threshold policies. When a failure occurs, the production unit is minimally repaired, and when the major maintenance is selected, the machine is restored to brand-new conditions. The objective of the model is to determine the simultaneous JIT production and major maintenance strategy that minimizes the total cost. Due to the stochastic features of the system, a simulation-based optimization approach is proposed, which combines the descriptive capabilities of simulation modeling with analytical models, statistical analysis, and optimization techniques. The results verify that the proposed simulation–optimization approach provides new and coherent results that highlight the strong influence of quality deterioration on the determination of the control parameters. A sensitivity analysis and a comparative study are conducted to illustrate that significant cost savings could be obtained with the proposed approach.

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uit het Broek, Michiel A. J., Ruud H. Teunter, Bram de Jonge, Jasper Veldman, and Nicky D. Van Foreest. "Condition-Based Production Planning: Adjusting Production Rates to Balance Output and Failure Risk." Manufacturing & Service Operations Management 22, no. 4 (July 2020): 792–811. http://dx.doi.org/10.1287/msom.2019.0773.

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Problem Definition: Many production systems deteriorate over time as a result of load and stress caused by production. The deterioration rate of these systems typically depends on the production rate, implying that the equipment’s deterioration rate can be controlled by adjusting the production rate. We introduce the use of condition monitoring to dynamically adjust the production rate to minimize maintenance costs and maximize production revenues. We study a single-unit system for which the next maintenance action is scheduled upfront. Academic/Practical Relevance: Condition-based maintenance decisions are frequently seen in the literature. However, in many real-life systems, maintenance planning has limited flexibility and cannot be done last minute. As an alternative, we are the first to propose using condition information to optimize the production rate, which is a more flexible short-term decision. Methodology: We derive structural optimality results from the analysis of deterministic deterioration processes. A Markov decision process formulation of the problem is used to obtain numerical results for stochastic deterioration processes. Results: The structure of the optimal policy strongly depends on the (convex or concave) relation between the production rate and the corresponding deterioration rate. Condition-based production rate decisions result in significant cost savings (by up to 50%), achieved by better balancing the failure risk and production output. For several systems a win-win scenario is observed, with both reduced failure risk and increased expected total production. Furthermore, condition-based production rates increase robustness and lead to more stable profits and production output. Managerial Implications: Using condition information to dynamically adjust production rates provides opportunities to improve the operational performance of systems with production-dependent deterioration.

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RICARD, A. "Les croisements franco-américains chez le trotteur : une expérience réussie ?" INRAE Productions Animales 18, no. 2 (May 7, 2005): 79–86. http://dx.doi.org/10.20870/productions-animales.2005.18.2.3511.

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Les 3/4 des Trotteurs Français nés en 2003 ont des gènes étrangers issus des croisements réalisés avec le Standardbred américain depuis 1978. La part de gènes américains de ces chevaux est de 16 %, ce qui donne une proportion de 12 % de gènes américains pour l’ensemble de la population Trotteur Français. La diffusion des gènes américains s’est réalisée principalement par le 1/2 américain Florestan et ses produits (33 %). L’apport du pur américain Workaholic (et ses produits) ne représente que 17 %. C’est une introduction très différente de la holsteinisation de la race bovine Pie Noire car il n’y a pas de retour actuellement sur la race parentale étrangère et le taux de gènes étrangers ne s’est maintenu que par l’utilisation préférentielle des étalons porteurs de gènes étrangers par rapport aux purs français (31 produits annuels contre 13). Maintenant que l’introduction est achevée, le taux de gènes étrangers est stabilisé et généralisé, il perdure par accouplement des animaux croisés. Cette large diffusion contraste avec le faible nombre de fondateurs américains : 13 ancêtres suffisent à expliquer 99 % des gènes américains dans les Trotteurs Français ! L’influence du taux de gènes étrangers sur la performance (indice standardisé à un écart type de 20) est favorable et linéaire. Elle est plus importante sur le gain par départ à l’âge de 3 ans (2,2 points à 3 ans pour 10 % de gènes étrangers) qu’à 5 ans sur le gain total cumulé de la carrière (1,4 points) mais n’explique que 2 % de la variabilité.

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Zhou, Binghai, Jiadi Yu, Jianyi Shao, and Damien Trentesaux. "Bottleneck-based opportunistic maintenance model for series production systems." Journal of Quality in Maintenance Engineering 21, no. 1 (March 9, 2015): 70–88. http://dx.doi.org/10.1108/jqme-09-2013-0059.

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Purpose – The purpose of this paper is to develop a bottleneck-based opportunistic maintenance (OM) model for the series production systems with the integration of the imperfect effect into maintenance activities. Design/methodology/approach – On the analysis of availability and maintenance cost, preventive maintenance (PM) models subjected to imperfect maintenance for different equipment types are built. And then, a cost-saving function of OM is established to find out an optimal OM strategy, depending on whether the front-bottleneck machines adopt OM strategy or not. A numerical example is given to show how the proposed bottleneck-based OM model proceeded. Findings – The simulation results indicate that the proposed model is better than the methods to maintain the machines separately and the policy to maintain all machines when bottleneck machine reaches its reliability threshold. Furthermore, the relationship between OM strategy and corresponding parameters is identified through sensitivity analysis. Practical implications – In practical situations, the bottleneck machine always determines the throughput of the whole series production system. Whenever a PM activity is carried out on the bottleneck machine, there will be an opportunity to maintenance other machines. Under such circumstances, findings of this paper can be utilized for the determination of optimal OM policy with the objective of minimizing total maintenance cost of the system. Originality/value – This paper presents a bottleneck-based OM optimization model with the integration of the imperfect effect as a new method to schedule maintenance activities for a series production system with buffers. Furthermore, to the best of the knowledge, this paper presents the first attempt to considering the bottleneck constraint on system capacity and diverse types of machines as a means to minimize the maintenance cost and ensure the system throughput.

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Karima, Halim Qista, and Fauzan Romadlon. "Optimizing the Preventive Maintenance Scheduling Based on Dynamic Deterministic Demand in The Cement Manufacturing." Jurnal Ilmiah Teknik Industri 20, no. 1 (July 2, 2021): 109–18. http://dx.doi.org/10.23917/jiti.v20i1.13894.

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Preventive maintenance is a planned and scheduled maintenance method that is carried out before a machine failure occurs. The maintenance schedule can be determined based on experience, historical data, or recommendations. Selecting the maintenance schedule greatly affects the production system. The Clin machine in cement manufacturing has an important role in the cement production process. During treatment, the client machine cannot produce clinker, so it is necessary to plan a production system to meet the demand. This paper aims to design an optimization model for determining the preventive maintenance schedule for cement manufacturing by considering the production process and inventory control. Mathematical models with binary options are used to model that system. The model supports showing the optimal preventive maintenance schedule for the ciln machines with a binary decision each period. This mathematical model describes the interaction of production planning, inventory control, and scheduling of total maintenance on a kiln machine. The goal of this system is to determine the optimal preventive maintenance schedule with minimum costs. In addition, the system's output is the optimal production and inventory decision rule for each period. Based on the analysis and simulation of the model with the deterministic and dynamic demand, the optimal preventive maintenance schedule is in the 9th and 21st periods. The kiln machines are maintained every July with minimal costs. The model scenario shows the interaction of the variables and the sensitivity of the production capacity and demand to the decision rule of the variable.

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Rizkya, Indah, Ikhsan Siregar, Khawarita Siregar, Rahim Matondang, and Enrico Waldo Henri. "Reliability Centered Maintenance to Determine Priority of Machine Damage Mode." E3S Web of Conferences 125 (2019): 22005. http://dx.doi.org/10.1051/e3sconf/201912522005.

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High machine downtime results in the production process being disrupted. The average engine breakdown in the sterilizer production is 35.66 hours/month. The corrective maintenance method has not been able to guarantee a smooth production process. This study will plan preventive maintenance activities in order to increase the reliability of production machinery and also maintain the smooth production process. The study was carried out by identifying the damage level of a sterilizer machine with the FMEA method. Based on the result of the FMEA method, maintenance planning of the production machine using the Reliability Centered Maintenance (RCM). FMEA indicates that there are 5 highest risk priority number values, namely the IGBT, Mosfet, bearing bushings, rool former and v-block components. For the maintenance planning using the RCM method, the results obtained were the Total Minimum Downtime (TMD) criteria indicates that the optimum turnover interval of Roll Former, Mosfet, V-Block, IGBT, and Bearing Bushing components is 24 days, 23 days, 25 days, 26 days, and 22 days. The recommendation of the RCM maintenance method has the potential to have a positive impact, namely a decrease in the average critical component downtime of 37,103 % and also an increase in reliability.

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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 (August 1, 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 to deal with the uncertain behavior of machine breakdown time. A deterministic model is adopted and tested under different levels of complexity. Its performance is evaluated based on the value of average completion time. The result clearly shows that the proposed integrated production with PM schedule can reduce the average completion time by 11.68% compared to the production scheduling with machine breakdown time.

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Wang, Lin, Zhiqiang Lu, and Xiaole Han. "Joint optimal production planning and proactive maintenance policy for a system subject to degradation." Journal of Quality in Maintenance Engineering 25, no. 2 (May 7, 2019): 236–52. http://dx.doi.org/10.1108/jqme-11-2016-0068.

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Purpose This paper integrates condition-based maintenance (CBM) with production planning in a single-stage production system that deteriorates with usage during a specified finite planning horizon. The purpose of this paper is to develop an integrated production and maintenance model to minimize the expected total cost over the horizon. Design/methodology/approach A joint production planning and CBM model is proposed. In the model, a set of products must be produced in lots. The system degradation is a stationary gamma process and the degradation level is detected by inspection between production lots. Maintenance actions including imperfect preventive maintenance (PM) should be taken when the failure risk exceeds the maintenance threshold. A fix-iterative heuristic algorithm is proposed to address the joint model. Findings The proactive policy expressed as a prognosis maintenance threshold is introduced to integrate CBM with batch production perfectly. Experiments are carried out to conduct sensitivity analysis, which provides some insights to facilitate industrial manufacturing. The superiority of the proposed joint model compared with a separate decision method is demonstrated. The results show an advantage in cost saving. Originality/value Few studies have been made to integrate production planning and CBM decisions, especially for a multi-product system. Their maintenance decisions are usually based on a periodic review policy, which is not appropriate for batch production system. A prognosis maintenance threshold based on system condition and production quantity is suitable for the integrated decisions. Moreover, the imperfect PM is taken into consideration in this paper. A fix-iterative algorithm is developed to solve the joint model. This work forms a proactive maintenance for batch production.

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Niyamosoth, Thanawath, and Supachai Pathumnakul. "Joint determination of preventive maintenance and buffer stock for a production unit under lease." Journal of Industrial Engineering and Management 11, no. 3 (June 22, 2018): 497. http://dx.doi.org/10.3926/jiem.2578.

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Purpose: The purpose of this work is to develop a mathematical model for simultaneously determining the optimal period of preventive maintenance actions and the optimal size of buffer stock for a production unit that is owned by a lessor and leased to a lessee under a lease contract.Design/methodology/approach: A mathematical model is formulated and a numerical procedure is developed for finding the optimal period of preventive maintenance actions and the optimal size of buffer stock to minimize the total expected costs considering both a lessor and a lessee over a lease period.Findings: The proposed model gives better solutions than those where the maintenance cost to the lessor and the production inventory cost to the lessee are minimized separately.Originality/value: The joint determination of preventive maintenance and safety stock is a topic that has been extensively studied for decades. The majority of the models reported in the literature implicitly assume that the firm owns the production unit and maintenance actions are done in-house. However, equipment acquisition through leasing is a common practice nowadays. Normally, under a lease contract, the lessor who owns the equipment is responsible for maintenance services. This may lead to a conflict between the lessor and the lessee concerning the optimal choice of maintenance actions. To solve this conflict, we propose a joint determination of preventive maintenance and safety stock model for a production unit under a lease. The objective of our model is to simultaneously determine the optimal period of preventive maintenance actions that the lessor needs to perform and the optimal size of buffer stock the lessee needs to produce so that the total combined expected costs to both parties over the lease period are minimized.

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Tian Xiang, Zhang, and Chin Jeng Feng. "Implementing total productive maintenance in a manufacturing small or medium-sized enterprise." Journal of Industrial Engineering and Management 14, no. 2 (February 5, 2021): 152. http://dx.doi.org/10.3926/jiem.3286.

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Purpose: This paper develops a ‘light’ total productive maintenance (TPM) model suitable for small and medium-sized enterprises (SMEs). By design, the system is rudimentary, using a relatively small sum of capital investment and resources. The model recommends TPM implementation in three stages, namely plan, improve, and sustain.Design/methodology/approach: The literature review provides the inputs to the model development. Action research is used to demonstrate and verify the effectiveness and practicability of the framework, in an SME manufacturing hydraulic parts in China. Overall Equipment Effectiveness (OEE) and awareness of employees were studied before and after the implementation. Findings: The case study shows a significantly improved production efficiency of the equipment. The framework structuralizes TPM deployment and binding different levels of the organization into the program, from planning, implementation to sustaining the practices. To break the barrier of shop-floor resistance, the leader must drive many activities unassisted, it, therefore, necessitates an open endorsement of authority by the steering committee composed of top management. The Prudent pilot run of TPM helped to accelerate the implementation at critical equipment, in addition to cultivating experience and hence confidence among staff.Research limitations/implications: This study provides a pragmatic reference to other researchers and practitioners to promote a light TPM model in SMEs, without losing the essence of TPM. Being action research with the case study in a specific manufacturing industry, the resultant evidence, therefore, is anecdotal.Originality/value: The model adopts a phased method to implement TPM, without aggravating the financial and human resource burden of the enterprise. It promotes the cultivation of employees’ TPM awareness and active involvement, which can lay a solid foundation for the wide implementation of TPM in SMEs.

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Cheng, Guoqing, Binghai Zhou, Faqun Qi, and Ling Li. "Modeling condition-based maintenance and replacement strategies for an imperfect production-inventory system." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 10 (November 14, 2016): 1858–71. http://dx.doi.org/10.1177/0954405416675653.

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In this article, we consider an imperfect production-inventory system which produces a single type of product to meet the constant demand. The system deteriorates stochastically with usage and the deterioration process is modeled by a non-stationary gamma process. The production process is imperfect which means that the system produces some non-conforming items and the product quality depends on the degradation level of the production system. To prevent the system from deteriorating worse and improve the product quality, preventive maintenance is performed when the level of the system degradation reaches a certain threshold. However, the preventive maintenance is imperfect which cannot restore the system as good as new. Hence, the aging system will be replaced by a new one after some production cycles. The preventive maintenance cost, the replacement cost, the production cost, the inventory holding cost and the penalty cost of lost sales are considered in this article. The objective is to minimize the total cost per unit item which depends on two decision variables: the preventive maintenance threshold and the time at which the system is replaced. We derive the explicit expression of the total cost per unit item and the optimal joint policy can be obtained numerically. An illustrative example and sensitivity analysis are given to demonstrate the proposed model.

Journal articles on the topic 'Total Production Maintenace'

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