Maintenance Planning System Research Articles

Analisa Pengaruh Main Pressure Tank Cellar dalam Proses Discharge Semen di MV. Cepat

Discharge activities on a cement vessel can’t be separated from the discharge pneumatic system, because the bulk cement contained in the cellar tank must be pressurized so that the cement turns into dust and can be unloaded into the land sillo. Failure of the pneumatic system will pose a risk of time delays and losses for the company because it can’t carry out load discharge activities. When the cement discharge activity takes place, there are many problems with the pneumatic system due to the decrease in wind pressure. The purpose of this study was to determine the factors, impacts and efforts made to analyze the effect of main pressure on the cellar tank in the cement discharge process to reduce the risk of delays in cement discharge activities. This study used descriptive qualitative method. Where is described and explained each problem with a detailed explanation. Data collection techniques with the method of observation, interviews with the chief officer and supported by the method of documentation. Damage to the pneumatic valve system causes reduced pressure in the cellar tank to be a factor in the decrease in main pressure. The impact of decreasing main pressure causes cement discharge activities to not be carried out optimally and can even hinder cement discharge activities. The conclusion obtained is that efforts need to be made to improve the skills of the crew on the operation of the pneumatic system and control, routines for the maintenance of the pneumatic system equipment according to the system maintenance plan.

Fuzzy fault tree analysis of EVAC system based on improved SAM- FFTA with butterfly optimization algorithm

At this stage, 3D elliptical vibration-assisted cutting(3D-EVAC) systems have proven to be a highly promising method of machining for a wide range of new materials, which can meet the requirements of ultra-precision machining. In practice, however, there are still various problems that affect its ability to achieve the desired accuracy. The functional reliability of the system should therefore be improved. Considering that the failure probability of 3D-EVAC system components cannot be obtained accurately, this paper proposes an improved similarity aggregation method (SAM) based on the butterfly optimization algorithm (BOA), called BOA -SAM. In the experiment, thirty-six events are selected and these events are aggregated by BOA-SAM. The experimental results show that BOA-SAM not only avoids the variability of the aggregation results with the relaxation factor (β) but also improves the accuracy of the aggregation results compared with SAM. BOA-SAM and FTA are connected by the center-of-mass method to form BOA-SAM-FFTA. Finally, a fuzzy fault tree analysis of the 3D-EVAC system was carried out using the BOA-SAM-FFTA method to calculate the probability of failure for each bottom event and to analyze its importance. It was found that non-uniform heating of the tool was the event that had the greatest impact on the functional reliability of the system, which offered a theoretical basis for improving the functional reliability of the system. The probability of failure of other bottom events during the experiment also can provide some theoretical guidance for the system maintenance plan .

Perencanaan Perawatan Motor Penggerak Wesel Type T84M dengan Menggunakan Metode RCM (Reliability Centered Maintenance) di Daop 2 Bandung

Daop 2 Bandung is one of the train operational areas where each station has a signaling system to maintain safety and regulate train operations so that they remain effective and efficient. This research aims to determine the maintenance planning system for the Type T84M Wesel Drive Motor using the RCM (Reliability Centered Maintenance) method in Daop 2 Bandung. The method used is RCM (Reliability Centered Maintenance) which focuses on secondary data in the form of historical data on disturbances on the T84M draft motorbike which is used to calculate maintenance time intervals based on the results of data distribution for each component according to the RCM (Reliability Centered Maintenance) method. The research results show that the appropriate maintenance tasks for wesel motor components are scheduled disposal tasks and scheduled restoration tasks. The T84M draft motorbike has a reliability value of 43.2% and an availability value of 99% and the recommended maintenance interval for the T84M draft motorbike is 3 days.

Supply reliability-driven joint optimization of maintenance and spare parts inventory in a gas pipeline system

This work proposes a method for the joint optimization of the maintenance and spare parts inventory to maximize the reliability of gas supply in a pipeline system. The method trades off maintenance costs and risk of gas shortages. System failure probability calculation and system maximum supply capacity analysis, joint optimization modeling and system maintenance planning, are performed. A gas compressor station is considered as object of the analysis and a discrete Markov model is used to describe the state transition process. A supply capacity model is proposed to analyze the maximum supply capacity of the pipeline system under different failure scenarios. The joint optimization of maintenance and spare parts inventory is performed using a genetic algorithm to optimize the inspection interval and spare ordering time, considering the stochastic behavior of lead time. The effectiveness of the method is validated on a case study of a pipeline system in China. The results demonstrate that the proposed method outperforms others in identifying optimal maintenance strategies. In addition, the sensitivity analysis of critical parameters is analyzed in detail, which can further ensure the robustness of the method.

하이브리드 고장률을 이용한 태양광 발전 시스템의 설비 유지보수 시점 결정에 관한 연구

Recently, the PV(Photovoltaic) penetration has increased rapidly in Republic of Korea. And quite a lot of PV systems has been installed in small capacity. And the PV systems have difficult to have its own maintenance planning system due to difficulties in securing economic feasibility. Therefore the maintenance planning method for PV systems that can be generally applied are attracting considerable. Although the age replacement policy, one of the traditional RCM(Reliability Centered Maintenance) methodology, is excellent for determining the replacement cycle of facilities. But It evaluates that the facilities as good as new after maintenance. In this paper, the maintenance planning method for PV system facilities based on RCM has been proposed. To evaluate the failure rate after the imperfective maintenance, hybrid model has been applied. In addition, the economic feasibility of maintenance has been compared by considering investment cost and loss of the implementation for preventive maintenance policy.

A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning

This study proposes a method based on Bayesian networks (BNs) to optimize the reliability of gas supply in natural gas pipeline networks. The method integrates probabilistic safety analysis with preventive maintenance to achieve the targets of minimizing gas shortage risk and reducing maintenance costs. For this, the tasks of unit failure probability calculation, system maximum supply capacity analysis, gas supply reliability assessment and system maintenance planning are performed. A stochastic capacity network model is coupled with a Markov model and graph theory to generate the state space of the pipeline network system. BN, is then, proposed as the modeling framework to describe the stochastic behavior of unit failures and customer gas shortage. The system maintenance problem is converted into a Markov decision process (MDP), and solved by using deep reinforcement learning (DRL). The effectiveness of the proposed method is validated on a case study of a European gas pipeline network. The results show that the proposed method outperforms others in identifying optimal maintenance strategies. The DRL-optimized maintenance strategy is capable of responding to a dynamic environment through continuous online learning, considering the randomness of the unit failures and the uncertainty in gas demand profiles.

Power System Reliability and Maintenance Evolution: A Critical Review and Future Perspectives

In the last two decades, the number of strategies for planning the maintenance of power systems have increased considerably. As societal dependence on power system infrastructure continues to grow, there is an increased need to identify the best practices in the field of power system maintenance planning to ensure the continued reliable operation of the grid. This paper presents a comprehensive and systematic state-of-the-art review of advances in power system maintenance and the significance for the field of power system reliability. As the main contributions, this paper systematically organizes the published literature, and analyses the most relevant milestones in the context of power systems adequacy and security enhancement, producing a taxonomy of the different maintenance strategies. This includes detailing existing approaches for power system maintenance planning, and providing clear definitions, models, methods, and characteristics of maintenance policy. The review also includes the most relevant standards employed in the power system maintenance field. Finally, areas requiring further research are identified alongside emerging trends in power system maintenance, to inform industry practice and support further research.

CIB - UTILITY BASED SYSTEMS FRAMEWORK FOR EXISTING RESIDENTIAL BUILDING

ABSTRACT This study proposes an approach for conducting comparative assessments between renovation and new construction through the use of CIB utility theory systems and applies the methodology to an adaptive case study. To this end, the theoretical underpinnings of CIB were explained in the literature review, and the method of data analysis, selection of usability functions, and standard condition assessment scale were explained. The proposed model can be used to evaluate CIB utility theory systems and for life-cycle sustainability assessment (LCSA). The current findings revealed that the maintenance planning system and 5 G information must be improved because they are the key to Taiwan’s future development. Considering that the aim of cost-optimal maintenance and renovation planning is to not only optimise the service life-cycle costs of building components but also to maintain appropriate conditions and the performance of the respective components, the model used in this study prioritises performance over cost. Therefore, proposals are made for the future development of LCSA considering stakeholders of various projects for new construction by enhancing objectivity and accessibility.

Development of an intelligent decision making tool for maintenance planning using fuzzy logic and dynamic scheduling

Effectiveness and efficiency of manufacturing depends on the manufacturing equipment. Timely detection and diagnosis of abnormal operating conditions of equipment and further correction is important for competitive manufacturing and maintenance planning is becoming more crucial. The equipment availability and optimum spare parts inventories are the results of right decisions made through maintenance planning systems. Limitations in large data handling and need for logical reasoning for decision making drives the use of computerized maintenance planning system. This paper focus on application of fuzzy logic in decision making for maintenance planning using key inputs such as mean time between failures, mean time to repair, spares availability and the age of the equipment. A fuzzy rule base is generated for a real case and applied to the maintenance planning process to validate the results. The paper will definitely help the maintenance engineers and plant engineers to plan their activities in an effective manner.

PENINGKATAN KERJA PADA AIR CONDITIONER DALAM MENJAGA SUHU RUANG AKOMODASI DI MV. GLOVIS DAYLIGHT

ABSTRAKMesin pendingin adalah salah satu permesinan bantu yang bekerja untukmenghasilkan suhu atau temperature dingin guna mendinginkan ruangan diatas kapalserta memberi rasa nyaman pada crew kapal.Metode yang digunakan dalam penelitian ini adalah metode kualitatif denganpendekatan metode Fishbone Analysis, menemukan penyebab utama kurang optimalnyakerja Air Conditioner, menemukan dampak kurang optimalnya kerja Air Conditionerserta mengkombinasikannya dengan metode Fault Tree Analysis untuk menemukanupaya dari permasalahan paling mendasar (Basic Event).Hasil penelitian ini menemukan faktor utama yang mengakibatkan kurangoptimalnya kerja Air Conditioner yaitu terjadinya endapan pada pipa-pipa kondensorsehingga mengganggu proses kondensasi. Hal tersebut diakibatkan karena kotornya LTCooler. Dampak yang terjadi adalah crew merasa kurang nyaman ketika beradadisuatu ruangan, timbul kerugian yang cukup besar baik dampak internal maupuneksternal. Kemudian upaya yang dilakukan yaitu melakukan perawatan padapermesinan sesuai dengan Plan Mantenance System serta dilakukan pengetesan airpada LT Cooler 
 
 

Considering deterioration propagation in transportation infrastructure maintenance planning

Civil infrastructure system maintenance planning is to determine which facility should be repaired, when and how maintenance should be carried out, and what treatment should be used under budget and other resource constraints. In the existing literature, various simulation and optimization models have been developed to help select the optimal maintenance plan. However, the developed models overlooked the deterioration propagation between adjacent connected facilities of the network infrastructure system. For instance, a facility receiving zero maintenance or having a failure of maintenance treatment affects not only the condition of itself, but also the deterioration rate of its neighboring facilities. This raises the call for taking the deterioration propagation into consideration when developing optimization models and capture to which extent it can affect the optimal maintenance plan. Therefore, in this paper, an infrastructure maintenance planning model considering the deterioration propagation between facilities is formulated as a mixed integer linear programming problem. A heuristic algorithm was proposed to solve the problem efficiently. Example networks were tested for the performance comparison between CPLEX and the heuristic algorithm. The proposed model performs better than models without the deterioration propagation. • Deterioration propagation should be considered in asset management. • Formulated an integer linear optimization model to find optimized maintenance scheduling. • Models considering deterioration propagation performed better than those that don't.

A knowledge based machine tool maintenance planning system using case-based reasoning techniques

In advanced manufacturing systems, Computer Numerical Control (CNC) machine tools are important equipment to manufacture product components of high precision, whilst from equipment maintenance point of view, they are regarded as the ‘products’ provided by machine tool manufacturers. Therefore, the reliability of CNC machine tools affects not only the quality of the components they manufacture, but also the reputation and profits of equipment suppliers. This paper presents a novel knowledge-based maintenance planning system to facilitate information and knowledge sharing between all stakeholders including machine tool manufacturers, users (manufacturing systems), maintenance service providers and part suppliers (for machine tools), in the emerging ‘Product-Service’ business model. Case Based Reasoning principles have been implemented to improve the efficiency of maintenance planning. Ontologies were adopted to represent field knowledge using adaptation guided retrievals based on semantic similarity and correlation. The adaption algorithm has been developed based on the Casual Theory and the dependence relationship to generate the solution for required maintenance problems. The proposed system was implemented using Content Management technologies, which proved to have advantages over traditional database systems in managing engineering knowledge, and has been verified using an example CNC machine tool. The results were commented by industrial collaborators as very promising and further exploitation in industry was recommended.

A practical quality management system implementation framework for small-sized companies

An effective quality management system is critical for having a smooth and efficient supply chain system. Establishing and maintaining quality systems is more challenging for smaller companies compared to larger organisations. This paper presents a cost effective and do-it-yourself approach to design and implement a quality management system for smaller organisations. It proposes a quality system implementation framework for small-medium sized companies to enable their transition from a no-quality system to having a more effective quality system. The study also proposes an effective continuous improvement and system maintenance plan after implementing the quality system. The proposed framework is validated using a case study of a small door manufacturing company. The findings of this study reveal several setbacks during quality management implementation and suggest means to overcome them. Benefits and results achieved by implementation of proposed framework will be useful for quality practitioners, quality managers, consultants, and engineers, especially in small companies.

Empirical Assessment of Unobserved Heterogeneity and Polyvinyl Chloride Pipe Failures in Water Distribution Systems

AbstractAn understanding of the failure patterns of pipes in water distribution systems is critical to cost-effective system-maintenance planning. Failure patterns, which typically measure the freq...

Maintenance Management Systems in the Czech Enterprises of Chemical and Food Industries

Purpose of the article: The aim of this article is to use the results of the qualitative research to describe the current form of maintenance systems used in enterprises of chemical and food industries, and then to discuss and generalize the results. Methodology/methods: The primary qualitative research was conducted in five companies, which can be regarded as typical representatives of the industries. The main objective of the primary research in individual companies was to determine how they perform the strategic and tactical operational planning of maintenance, implementation of these plans and their control. Individual interviews with respondents were used as the research method. The results of the research were processed using the content analysis method. Subsequently, comparison of the findings from individual businesses and subsequent synthesis thereof was performed, which allowed making generalizations. Scientific aim: The scientific aim of the article is to develop knowledge in the field of maintenance management by specifying the form of the maintenance systems utilized in Czech enterprises of the chemical and food industries and identifying the main opportunities for their improvement. Findings: Czech enterprises of the chemical and food industries utilize maintenance management systems. These systems are aimed at prevention, emphasizing the planning of maintenance activities in fixed periodic intervals. Also, they often utilize diagnostic maintenance. However, the maintenance systems currently used cannot be considered fully operational, with regard to the relatively large volume of after-failure repairs. Conclusions: Production equipment maintenance systems are irreplaceable in chemical and food industry enterprises, but there is great potential for improvement. Improvement should be focused on the area of strategic as well as tactical and operational planning of production equipment maintenance. In terms of strategy, the biggest opportunity for a dramatic improvement is the implementation of modern maintenance methods. In the context of the existing systems, improvement can be achieved especially in setting strategic objectives, the system of indicators to measure the performance of maintenance and in implementing an information system. In the tactical and operational level, it would be useful to develop a maintenance planning system linked with suppliers and customers and utilize mathematical methods and models to optimize plans for this business activity

A collaborative machine tool maintenance planning system based on content management technologies

From product maintenance and service point of view, high-value sophisticated computer numerical control (CNC) machine tools in modern manufacturing factories play important roles: they are manufacturing equipment, and on the other hand, they are also products supplied by equipment manufacturers. There is a trend that manufacturers are extending their responsibilities to the products use phase to meet customers’ requirements for lifetime support and service. To ensure the effective performance and efficient maintenance of high-value machine tools, information and knowledge from their lifecycle should be collected and reused. However, in the research area of product service systems and related computerised maintenance systems, there is a lack of research work on how to integrate knowledge from different stakeholders into the maintenance and service planning process, which is important for modern digital manufacturing systems to reduce machine tools’ downtime and improve their working performance. This project proposed a collaborative maintenance planning framework to connect different stakeholders and integrate their knowledge into the maintenance and service process. The potential of advanced content management systems (CMSs), which are widely used non-engineering sectors such as finance, business, publishing and government organisations, has been explored and tested for applications in the manufacturing engineering domain. The research realised that CMSs have several advantages compared with traditional engineering information systems, especially in managing dynamic and unstructured knowledge. A prototype maintenance and service planning system has been developed and evaluated using a real CNC machine tool.

Process and knowledge management in a collaborative maintenance planning system for high value machine tools

Product manufacturers are extending their responsibilities in the whole life cycle by providing services to their customers. In recent years, product service system has become an important research topic to address the special requirements in the new service driven business model. High value machine tools in modern manufacturing factories are special products: they are regarded as ‘products’ from maintenance point of view, and they also manufacture other products. In the new business model, the quality and behavior of a machine tool not only affect the quality of the parts it manufactures, but also affect the profits of the machine tool’s manufacturer. However, in the research area of product service systems and related computerized maintenance systems, there is a lack of investigation into the special nature, problems and requirements of high value machine tool maintenance, which are very important in modern digitized manufacturing systems. Therefore, this research investigated the various relationships between different stakeholders in the machine tools’ lifecycle, focusing on knowledge management, communication and the decision-making processes. This research also explored the potential application of advanced content management systems, which are widely implemented in the financial, business and government organizations, in the manufacturing engineering domain which has been dominated by traditional engineering information systems. A prototype collaborative maintenance planning system is proposed, developed and evaluated using an example machine tool, which indicated that significant improvement could be achieved and the content management technology has a number of advantages over the traditional engineering information systems, such as computer aided engineering, product data and lifecycle management, and enterprise resource planning systems, in managing machine tool maintenance and service information including dynamic and unstructured knowledge.

A study on Determination Method of the Compliance Concentration of Effluent Limitation from Public Sewage Treatment Works in the Jinwee-stream Watershed Sewer System

In accordance with the Watershed Sewer System Maintenance Plan enforced on February 2, 2013, the different compliance concentration of effluent limit be applied to effluent discharged from public sewage treatment works(PSTWs) in each watershed on the basis of water quality thereof. With the introduction of watershed sewer system, it is necessary to set the compliance concentration of effluent limit for PSTWs situated in the watershed, by region and PSTW size, to achieve water quality criteria for regional watersheds or target water quality under TMDL program. Watershed Environmental Agencies establish the Watershed Sewer System Maintenance Plan and set the compliance concentrations of effluent limit for PSTWs under the plan. The agencies plan to apply tougher effluent BOD concentration limits in Class I to IV areas. Effluent BOD concentration limits will be toughened from 5~10 mg/L to 3 mg/L in class II~III areas, from 10mg/L to 5mg/L in class IV areas. Uniform application of effluent BOD concentration limits to PSTWs in the watershed sewer system need to be complemented considering type of sewage treatment technology employed and watershed characteristics. Therefore, this study presents method to determine the compliance concentration of effluent limit from PSTWs in the watershed.

Availability Optimization for Repairable n-Stage Standby System by Applying Tabu-GA Combination Method

This study aims at the availability optimization problem for n-stage standby system under different resource and design configuration constraints by applying Tabu-GA combination method. From the point of view of logistics engineering, availability optimization applied in the initial system development period, plays a key role to affect system reliability, system maintenance planning, logistics requirements, and related costs during system planned life cycle. In general, system availability can be improved by increasing component reliability level, component repair rate or the number of components in each subsystem. This proposed model combines Tabu method with Genetic Algorithm to solve system availability optimization problem. Through our method applied in the initial phase of system design and development, we can find the optimal allocation of component redundancy number, reliability and maintainability levels to minimize the total system cost under different configuration constraints such as weight, volume, and system availability requirements. The proposed numerical examples are demonstrated based on different system constraint requirements and parameter values. Through a simulation study of 30 times of calculations by applying this proposed combination method, stable results are clearly showed. Consequently, all numerical results and simulation studies clearly show that the proposed availability optimization model and Tabu-GA combination method developed in this paper can help solving system availability optimization problem in the initial system design and development period.

Study on Equipment Maintenance Mode Based on Lean Management and its Application

Based on the analysis of traditional maintenance mode, such as breakdown maintenance, preventive maintenance and predictive maintenance, lean maintenance strategy is disscussed according to it. To developed the equipment lean maintenance, a lean maitenance method is provided based on real-time data acquisition. The method benefites from the information integrated frame of manufacturing execution system, by which the real-time data of equipment is got. Based on the real-time data, the principle of status data trigger is discussed in detail, and the dynamic maintenance plan is given on the basis of maintenance rules automatically. Finally, maintenance planning system is developed by the way of system design, including business flow design, function design and principle design.