scholarly journals An approximate approach for the joint problem of level of repair analysis and spare parts stocking

2012 ◽  
Vol 224 (1) ◽  
pp. 121-145 ◽  
Author(s):  
R. J. I. Basten ◽  
M. C. van der Heijden ◽  
J. M. J. Schutten ◽  
E. Kutanoglu
Keyword(s):  
Spare Parts ◽  
Approximate Approach ◽  
Joint Problem ◽  
Level Of Repair Analysis

Research on Joint Optimization of Level of Repair Analysis and Spare Parts Stocks

2014 ◽  
Vol 668-669 ◽  
pp. 1633-1636
Author(s):  
Li Xu ◽  
Qing Min Li ◽  
Hua Li
Keyword(s):  
Optimization Method ◽  
Spare Parts ◽  
Joint Optimization ◽  
Variable Cost ◽  
Fixed Cost ◽  
Invasive Weed ◽  
Equipment Availability ◽  
Investment Cost ◽  
Level Of Repair Analysis ◽  
Margin Analysis

According to the real background of repair and supply of spare parts, aims to reasonably plan that how to and where to repair the failure parts, where to deploy the repair resources and develop the initial spares configuration program such that the availability target of equipment is achieved with the lowest investment cost, the joint optimization model for level of repair analysis (LORA) and spare parts stocks is established consisting of variable cost and fixed cost that produced in maintenance as well as the equipment availability, and a new joint optimization method for the model is proposed combined Invasive Weed optimization (IWO) and margin analysis, then the optimization is realized. In a given example, the optimization result is gotten, through which the validity of the model and method is proved.

Simulation-based joint optimization of fleet system modularity and level of repair decisions considering different failure rates of components

2020 ◽  
Vol 10 (3) ◽  
pp. 377-390
Author(s):  
Manish Rawat ◽  
Bhupesh Kumar Lad ◽  
Abhishek Sharma
Keyword(s):  
Life Cycle ◽  
Failure Rate ◽  
Modular Design ◽  
Joint Optimization ◽  
Content Type ◽  
Simulation Based ◽  
Joint Problem ◽  
Joint Approach ◽  
Level Of Repair Analysis ◽  
Dependent Failure

PurposeModularization and level of repair analysis for fleet system influences every phase of the system life cycle. Modular based fleet system design raises new issues since the maintenance/repair services introduces further requirements than traditional product engineering. The decision of modular system and level of repair plays an important role to reduce the Life Cycle Costs (LCC) of fleet maintenance system. The concept of modularity has been extended to services in maintenance for the varieties of fleet systems such as wind turbines, gas turbines, advance machine tools and aircrafts etc. System modularity allows the designers to use of different design alternatives and ease of fault diagnosis, repair and services. The purpose of this paper to develop a joint optimization approach for optimal selection of modular design and level of repair decisions. Usually these two decisions are taken separately.Design/methodology/approachIn the proposed joint approach, level of repair analysis is used to obtain the optimal modular design decisions with reduced life cycle cost. In the existing research, the effect of system modularity on the level of repair decisions is investigated. The simulation-based approach is used to solve this joint problem. Which is rarely seen in the existing literature. A genetic algorithm-based simulation is used to investigate the joint problem. The proposed approach also evaluates all the possible configurations of modular design to justify the integrated effect of modularity and maintenance decisions, that is Level of Repair (LOR).FindingsThis paper highlights interactive effect of system modularity and level of repair decisions for the system operated in multi-echelon maintenance network. A comparative study is provided on effect of system modularity and level of repair decisions considering the time dependent failure rate and constant failure rate of the system components. A simulation based joint approach is used to solve this problem. The results obtained from the investigation are shown that modularity plays an important role to allocate modularity and level of repair decisions for the fleet system. The novelty of this research work is to identify the role of modularization to optimizing the level of repair decisions. The models, that is time-dependent failure rate and constant failure rate presented in this study provides more practical approach to deal the modularity and level of repair analysis.Research limitations/implicationsThe proposed joint approach illustrates using a numerical case of a mechanical system operated at fleet level. More modular structure in terms of number of modules in the machine may be presented for an industrial case. Additionally, the joint approach can also be extended for the any other consumer product and system. But, the prime motive of the paper is to highlights the importance of the modular design while selecting the level of repair decisions.Originality/valueThis is the first work which consider the joint optimization of modular design and level of repair analysis to the best of authors knowledge. Present paper is a more practical approach for identifying the modular design and level of repair decisions for the system operated at fleet level.

scholarly journals Joint optimization of level of repair analysis and spare parts stocks

2012 ◽  
Vol 222 (3) ◽  
pp. 474-483 ◽  
Author(s):  
R.J.I. Basten ◽  
M.C. van der Heijden ◽  
J.M.J. Schutten
Keyword(s):  
Spare Parts ◽  
Joint Optimization ◽  
Level Of Repair Analysis

scholarly journals Joint Optimization Method of Spare Parts Stocks and Level of Repair Analysis Considering the Multiple Failure Modes

2021 ◽  
Vol 11 (16) ◽  
pp. 7254
Author(s):  
Ruiqi Wang ◽  
Guangyu Chen ◽  
Jie Wu ◽  
Wei Zhou ◽  
Zheng Huang
Keyword(s):  
Optimization Model ◽  
Failure Modes ◽  
Optimization Method ◽  
Spare Parts ◽  
Joint Optimization ◽  
Multiple Failure Modes ◽  
System Availability ◽  
Spare Parts Inventory ◽  
Maintenance Decisions ◽  
Level Of Repair Analysis

For the repair level and spare parts stocking problems, generally METRIC type methods and Level of repair analysis (LORA) are used separately. Since LORA does not consider the availability of capital goods, solving LORA and spare parts stocking problems sequentially may lead to suboptimal solutions. On these considerations, this study presents a joint optimization method to minimize the service logistics cost under the constraints of system availability. Maintenance capability factor and maintenance decisions are introduced into the joint optimization model to express the influence of multiple failure modes on repair level and spare parts stocking. Thus, we establish the bridge relationship between LORA and METRIC models. The joint optimization model is solved by an improved iterative algorithm, and a typical fleet system is taken as an example to verify the correctness and effectiveness of the model and the algorithm. Compared with the optimization of spare parts inventory and maintenance level independently, the joint optimization method could effectively reduce the service logistic system cost.

Teknologi Inokulasi Besi Cor Kelabu FC-250 Untuk Mencegah Pengerasan Pada Dove Tale Produk Ragum Tipe 125

2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Amin Suhadi ◽  
Seodihono
Keyword(s):  
Mechanical Properties ◽  
Cast Iron ◽  
Treatment Process ◽  
Gray Cast Iron ◽  
Spare Parts ◽  
Gray Cast ◽  
Micro Structure ◽  
Control Factors ◽  
Seed Inoculation ◽  
Casting Industry

Production technology of metal casting industry in Indonesia needs to be improved, especially in the manufacturing of spare parts and box engine made of gray cast iron which has various wall thick such as dove tale construction. Microstructure of gray cast iron is influenced by cooling rate during casting, chemical composition and melting treatment process (inoculation). The part which has the thinnest thickness has the fastest cooling therefore, the grain boundary is smaller compared to other section. As a result this part has highest hardness and difficult to be machined. This research is conducted to solve this problem by modifying melting and solidification treatment process. The research starting from micro structure analysis, composition and mechanical properties tests on the product, and then conducting modification treatment through Taguchi method approach. Experimental results obtained show that the best level settings to control factors which affect to the uniformity of the microstructure and mechanical properties in gray cast iron is the addition of seed inoculation super ® 75, as much as 0.25% with the method of inoculation material entering into the Transfer Ladle.Teknologi produksi pada industri pengecoran di Indonesia masih membutuhkan perbaikan terutama dalam pembuatan komponen mesin perkakas dan peralatan pabrik yang terbuat dari besi tuang kelabu yang mempunyai variasi ketebalan yang besar seperti konstruksi ekor burung (dove tale). Pada pengecoran, struktur mikro dari besi tuang kelabu sangat dipengaruhi oleh kecepatan pendinginan, komposisi kimia dan proses perlakuan pada logam cair (inokulasi). Bagian yang mempunyai ukuran paling tipis mempunyai kecepatan pendinigan paling tinggi karena itu ukuran butirnya jauh lebih kecil dari bagian lain, akibatnya bagian ini mempunyai kekerasan lebih tinggi dan sulit dilakukan pengerjaan mesin. Penelitian ini bertujuan untuk memperbaiki hal ini yang terjadi pada dove taledengan cara memodifikasi proses perlakuan pada cairan besi dan proses pendinginan. Penelitian dimulai dari analisa struktur mikro, pengujian komposisi kimia, pengujian sifat mekanis pada produk kemudian dilakukan modifikasi menggunakan pendekatan metode statistik Taguchi. Hasil penelitian menunjukkan bahwa pengaturan terbaik yang dapat diperoleh untuk mendapatkan keseragaman struktur mikro dan sifat mekanis pada pengecoran besi tuang kelabu adalah penambahan seed inoculation super ® 75, sebesar 0.25% dengan metode pemasukan inokulasi kedalam Ladle pengangkut logam cair.Keywords: carbon, micro structure, hardness, inoculation

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