scholarly journals A Reliability-Based Approach to Nonrepairable Spare Part Forecasting in Aircraft Maintenance System

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Nataša Z. Kontrec ◽  
Gradimir V. Milovanović ◽  
Stefan R. Panić ◽  
Hranislav Milošević
Keyword(s):  
Spare Part ◽  
Spare Parts ◽  
Inventory Systems ◽  
Decision Making Process ◽  
Aircraft Maintenance ◽  
Inventory Models ◽  
Stochastic Nature ◽  
Maintenance System ◽  
Reliability Characteristics ◽  
Maintenance Systems

In recent times, spare parts inventory systems have been extensively researched, but most inventory models were not fully adequate due to the stochastic nature of inventory environment. This paper proposes an approach that supports decision making process in planning and controlling of spare parts in aircraft maintenance systems. Reliability characteristics of aircraft consumable parts were analyzed in order to substantiate this approach. Moreover, the proposed reliability model was used to evaluate characteristics of subassemblies and/or assemblies these parts belong to. Finally, an innovative approach for determining the total amount of parts required in inventory and underage costs, based on observing the total unit time as a stochastic process, is presented herein.

scholarly journals MULTIAGENT COLLABORATIVE COMPUTATION FOR AIRCRAFT MAINTENANCE SYSTEM

2017 ◽  
Vol 3 ◽  
Author(s):  
Arwin Datumaya Wahyudi Sumari ◽  
Adang Suwandi Ahmad
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Aircraft Maintenance ◽  
Fusion Method ◽  
Maintenance System ◽  
Comprehensive Information

Quick-and-accurate decision is a primary requirement for achieving a mission’s successfulness in many organizations whether they are militaries or civilians.  The larger and more complex the scope of a mission the longer the time will be needed to perform decision-making. A complex mission such as retaining a sustainable mission of aircrafts deployed in certain remote bases will require a 24-hour of standby on-site or off-site maintenance teams. The most common problem arisen from humans in such situations is the fatigue that can occur anytime to any of them during a continuing mission and of course, it can affect the continuity of the mission and delay or disappoint the mission achievement. In this paper we address the concept of the utilization of Multiagent Collaborative Computation (MCC) paradigm in supporting the decision-making process in aircrafts maintenance during a sustainable mission in remote bases. The ultimate goal of the MCC-based aircraft maintenance system is comprehensive information regarding the maintenance procedures in order to keep the aircrafts serviceable during the mission implementation. In this paper we also present the technique to obtain the comprehensive information as the basis for decision-making called A3S (Arwin-Adang-Aciek-Sembiring) information-inferencing fusion method

scholarly journals Aircraft maintenance system simulation mathematical model construction

2021 ◽  
Vol 24 (4) ◽  
pp. 38-49
Author(s):  
Yu. I. Samulenkov ◽  
Ya. A. Filatova ◽  
A. D. Gruzd
Keyword(s):  
Mathematical Model ◽  
Technical Condition ◽  
Spare Parts ◽  
Aircraft Maintenance ◽  
Time Duration ◽  
Functional Systems ◽  
Maintenance System ◽  
Study Results ◽  
Modeling Algorithm

The development of the aviation transport system is characterized by sophistication of interacting objects, the multi-criteria nature of the tasks to be solved and difficulties in making management decisions. For example, modern medium haul aircraft are fitted with up to 25,000 sensors to monitor the performance capabilities of functional systems components. Numerous ground-based instrumental methods and means of diagnosing the technical condition are used. This requires the development of methods and algorithms for determining and monitoring the criteria of limiting state of the monitored components and functional systems of aeronautical equipment. In this regard, analytical models of predictive estimate for the technical condition of aeronautical equipment, determination of aircraft maintenance modes and provision of spare parts and materials become essential. The paper proposes a scheme of the aircraft fleet maintenance system modeling algorithm and deducing the mathematical model of the optimal number of aircraft states in order to exclude secondary and subjective factors. The method of statistical modeling based on Markov processes with discrete states and continuous time is the basis of the proposed analytical model. The proposed method is reduced to the synthesis of some modeling algorithm of the investigated process that simulates the complex system components behavior and interaction as well as random perturbing factors. A distinctive feature of the presented algorithm is determination of the predominant estimated dependences of transition probabilities and intensities taking into account the requirements of the modern regulatory framework in terms of reliability of equipment and diagnosing the technical condition. The analysis of the predominant estimated dependencies study results in the conditions of operation of the aircraft maintenance system confirmed a high degree of correlation of the time duration effect on the particular states in order to diagnose the technical condition depending on the diagnostic concept. The proposed simulation model can be used for the aircraft technical condition predictive estimate, aircraft gas turbine engines and functional systems.

scholarly journals Design of Web-Based Cashier and Spare Part Warehouse Application Display (Case Study at Surya Motor Shop)

2020 ◽  
Vol 4 (2) ◽  
pp. 60
Author(s):  
Muhammad Esa Permana Putra ◽  
Teguh Bharata Adji ◽  
Adhistya Erna Permanasari
Keyword(s):  
Information System ◽  
Programming Languages ◽  
User Experience ◽  
Financial Reporting ◽  
Spare Part ◽  
Spare Parts ◽  
Inventory Systems ◽  
Small Scale ◽  
User Centered Design ◽  
Prototype Development

A cashier and spare parts warehouse application is an information system facilitating financial reporting and items inventory systems. This has become a necessity in almost all fields of large and small-scale businesses in every country. The information system that belongs to Surya Motor Shop does not have a display that can facilitate users in operating the company's financial and transaction systems in accordance with company needs. This information system uses Bootstrap with HTML, CSS, and Javascript programming languages. In this paper, an interactive display was developed, so as to be able to accommodate web users' responses, by developing a prototype using Bootstrap at the Surya Motor Shop. This was carried out to digitize the transaction system, making it easier to report the items inventory and financial reporting of the company. The prototype development was developed using the The Elements of User Experience method, a user-centered design process. After developing the prototype, a test was carried out to determine the quality of the user experience. The test employed the User Experience Questionnaire (UEQ) method. UEQ testing shown that the prototype interface developed had a positive level of user experience. Compared with the benchmarks set by UEQ, the test results were above the mean benchmark, except for the pull factor which was still below the benchmark average.

scholarly journals Maintenance System of Universal Goss Printing Machine based on failure data using RCM and RCS method

2018 ◽  
Vol 2 (02) ◽  
pp. 57-62
Author(s):  
Judi Alhilman ◽  
Fransiskus Tatas Dwi Atmaji ◽  
Valinouski Aulia
Keyword(s):  
Preventive Maintenance ◽  
Spare Part ◽  
Spare Parts ◽  
Critical System ◽  
Maintenance Schedule ◽  
Maintenance System ◽  
Failure Data ◽  
Reliability Centered Maintenance ◽  
Engine Failure ◽  
Printing Machine

Over time a machine will get experience a decrease in reliability, causing the engine to be damaged at the time of operation, thus disrupting the production line. To maintain a machine remains reliable then a good maintenance system is required. In this research, we will use Reliability Centered Maintenance (RCM) and Reliability Centered Spare (RCS) analysis on the critical system of Goss Universal printing machine based on engine failure data. The result of RCM analysis obtained the optimal preventive maintenance schedule and the type of treatment, while based on the RCS analysis obtained spare part needs following the maintenance schedule. With the result of this analysis, is expected where the machine will keep good and will continue to operate without a sudden breakdown under the production schedule's need. Based on RCM analysis for each critical subsystem obtained interval preventive maintenance for transfer roller 127.60 hours, Ink fountain roller 24.45 hours, ink form roller 29.23 hours respectively, and the wash-up device is no scheduled maintenance. For spare parts inventory strategies the result using RCS method are: transfer roller104 units, ink fountain roller requires 32 units, ink form roller 36 units and are holding spare policy required, and a wash-up device no holding spare parts. Keywords— Failure data, Maintenance System, RCM, RCS

Simulation-Based Analysis of Intelligent Maintenance Systems and Spare Parts Supply Chains Integration

2019 ◽  
Vol 28 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Enzo M. Frazzon ◽  
Tulio H. Holtz ◽  
Lucas S. Silva ◽  
Matheus C. Pires
Keyword(s):  
Supply Chains ◽  
Production Systems ◽  
Cost Effective ◽  
Spare Part ◽  
Spare Parts ◽  
Safety Stocks ◽  
Intelligent Maintenance ◽  
Simulation Based ◽  
Maintenance Systems ◽  
The Right

Abstract Production systems are composed of increasingly complex components with unique specifications. Therefore, since holding safety stocks of each component would be prohibitive, maintenance activities rely on the proper delivery of spare parts, making it available at the right time and place. Equipments monitored by sensors as well as the transmission of sensors data to the spare part supply chain represent an interesting venue for dealing with this contemporaneous industrial challenge. In this direction, this paper applies a simulation model derived from a real world scenario to analyze the performance of the collaboration between condition-based maintenance – also known as intelligent maintenance systems – and spare parts supply chains, in comparison with existing maintenance approaches. Obtained results substantiate the potential of monitoring, treating and transmitting equipment condition data to ensure cost-effective maintenance and production systems availability.

Optimalisasi Perawatan Dan Pengoperasian Alat Keselamatan Sekoci Sebagai Penunjang Keselamatan Di Mv Kartini Baruna

2020 ◽  
Vol 2 (1) ◽  
pp. 197-202
Author(s):  
Rudiana ◽  
Rr. Retno Safitri ◽  
Retno Junita
Keyword(s):  
Spare Part ◽  
Maintenance System

Sekoci merupakan alat penolong yang dapat digunakan untuk evakuasi seluruh awak kapal karena memiliki konstruksi yang lebih kuat dari alat penolong lainnya. Masalah yang sering terjadi adalah kurang terampilnya ABK tentang perawatan dan pengoperasian sekoci yang sesuai dengan prosedur dan rendahnya  perawatan sekoci di atas MV Kartini Baruna. Kemudian tujuan penelitian ini yaitu untuk mengetahui penyebab kurang terampilnya ABK tentang perawatan dan pengoperasian sekoci yang sesuai dengan prosedur dan mengetahui penyebab rendahnya  perawatan sekoci di atas MV Kartini Baruna. Metode yang digunakan adalah deskriptif kualitatif. Dari hasil penelitian diperoleh kesimpulan bahwa faktor yang menyebabkan kurang optimalnya kinerja dari sekoci di MV. Kartini Baruna adalah kurangnya spare part, penerapan PMS (Plan Maintenance System) yang tidak sesuai ketentuan, kurang terampilnya anak buah kapal (ABK) dalam pengoperasian sekoci. Faktor yang menyebabkan perawatan lifeboat yang kurang baik terhadap crew di MV. Kartini Baruna adalah lambatnya proses pengoperasian sekoci, membahayakan keselamatan crew diatas kapal. Kemudian upaya yang dilakukan untuk mengoptimalkan perawatan terhadap lifeboat di MV.Kartini Baruna yaitu dengan menerapkan PMS (plan maintenance system) sesuai ketentuan atau panduan

scholarly journals Evaluating the Readiness Level of Additively Manufactured Digital Spare Parts: An Industrial Perspective

2018 ◽  
Vol 8 (10) ◽  
pp. 1837 ◽  
Author(s):  
Niklas Kretzschmar ◽  
Sergei Chekurov ◽  
Mika Salmi ◽  
Jukka Tuomi
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Industry ◽  
Spare Part ◽  
Spare Parts ◽  
Survey Study ◽  
Lead Times ◽  
Supply Networks ◽  
Readiness Level ◽  
End Use ◽  
Technological Limitations

Additive manufacturing of digital spare parts offers promising new possibilities for companies to drastically shorten lead times and to omit storage costs. However, the concept of digital spare parts has not yet gained much footing in the manufacturing industry. This study aims to identify grounds for its selective rejection. Conducted from a corporate perspective, outlining a holistic supply chain network structure to visualize different digital spare part distribution scenarios, this survey study evaluates technical and economic additive manufacturing capabilities. Results are analyzed and discussed further by applying the Mann-Whitney test to examine the influence of the company size and the presence of 3D-printed end-use components within supply networks on gathered data. Machines’ limited build chamber volumes and the necessity of post-processing are considered as the main technical challenges of current additive manufacturing processes. Furthermore, it can be concluded that company sizes have a significant effect on perceived technological limitations. Overall, the results lead to the conclusion that the readiness level of the digital spare parts concept demands for further development.

scholarly journals Performance tradeoffs for spare parts supply chains with additive manufacturing capability servicing intermittent demand

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kyle C. McDermott ◽  
Ryan D. Winz ◽  
Thom J. Hodgson ◽  
Michael G. Kay ◽  
Russell E. King ◽  
...  
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Production Capacity ◽  
Spare Part ◽  
Spare Parts ◽  
Mixed Integer ◽  
Network Configuration ◽  
Intermittent Demand ◽  
Content Type ◽  
Demand Patterns

PurposeThe study aims to investigate the impact of additive manufacturing (AM) on the performance of a spare parts supply chain with a particular focus on underlying spare part demand patterns.Design/methodology/approachThis work evaluates various AM-enabled supply chain configurations through Monte Carlo simulation. Historical demand simulation and intermittent demand forecasting are used in conjunction with a mixed integer linear program to determine optimal network nodal inventory policies. By varying demand characteristics and AM capacity this work assesses how to best employ AM capability within the network.FindingsThis research assesses the preferred AM-enabled supply chain configuration for varying levels of intermittent demand patterns and AM production capacity. The research shows that variation in demand patterns alone directly affects the preferred network configuration. The relationship between the demand volume and relative AM production capacity affects the regions of superior network configuration performance.Research limitations/implicationsThis research makes several simplifying assumptions regarding AM technical capabilities. AM production time is assumed to be deterministic and does not consider build failure probability, build chamber capacity, part size, part complexity and post-processing requirements.Originality/valueThis research is the first study to link realistic spare part demand characterization to AM supply chain design using quantitative modeling.

scholarly journals Convergence Issues of Hydrodynamic Models of Reservoir Pressure Maintenance Systems

2021 ◽  
Vol 135 (4) ◽  
pp. 32-35
Author(s):  
S. T. Zakenov ◽  
◽  
А. А. Yermekov ◽  
L. K. Nurshakhanova ◽  
Sh. Aijanova ◽  
...  
Keyword(s):  
Initial Data ◽  
Software Package ◽  
Reservoir Pressure ◽  
Hydraulic Characteristics ◽  
Hydrodynamic Models ◽  
Pipeline Network ◽  
Maintenance System ◽  
Maintenance Systems ◽  
Calculation Software

The article presents the problems of correctness of input of initial data, convergence of hydrodynamic models based on the results of calculating the hydraulic characteristics of the ground pipeline network of the reservoir pressure maintenance system using an automated calculation software package.

scholarly journals An Optimal Order Quantity Of Spare Parts To Minimize Total Inventory Cost Using Periodic Review Approach (R,s,s) Method In PT. XYZ Bandung

2017 ◽  
Vol 1 (02) ◽  
Author(s):  
Feviana Betsi Purba ◽  
Luciana Andrawina ◽  
Murni Dwi Astuti
Keyword(s):  
Spare Part ◽  
Spare Parts ◽  
Optimal Order ◽  
Periodic Review ◽  
Order Quantity ◽  
Inventory Cost ◽  
Inventory Policy ◽  
Total Saving ◽  
Manufacturing Company ◽  
Total Inventory

The availability of spare parts is very crucial thing for manufacturing company in order to support the continuity of production activities. PT XYZ is a manufacturing company which produces thread into fabric. In this case, inventory control of spare part is not properly managed. Inventory position of spare parts in warehouse is always more than inventory policy of the company itself or called overstock which causes total inventory cost is always high. Company only consider on the order fulfillment of spare parts to prevent downtime on the machine that increase performance of production. Hence, order quantity of spare parts is always excessive or not optimal. In this research, global inventory policy conducted in order to minimize total inventory cost is periodic review approach (R, s, S) method. This inventory policy will be calculated using power approximation and obtained total saving cost of holding cost by 31 % while total saving cost of order cost decreased by 7 %. Overall, total inventory cost minimized by 7 % or equal to Rp138.902.742.

Sign in / Sign up

Export Citation Format

Share Document