A Support System for Selecting the Most Suitable Spare Parts Strategy

Author(s):  
Pablo Viveros ◽  
Christopher Nikulin ◽  
Adolfo Crespo ◽  
René Tapia ◽  
Raúl Stegmaier ◽  
...  
Keyword(s):  
2021 ◽  
Vol 5 (1) ◽  
pp. 31-40
Author(s):  
Ronny Addenan ◽  
◽  
Wilda Susanti ◽  

PT.Yanmarindo Perkasa is a company in the sale of diesel engines, generators, tooling tools and engine spare parts. Many suppliers want to distribute their goods through PT.Yanmarindo Perkasa, thus demanding the company to choose the right supplier, in order to ensure the smooth fulfillment of stock items. The process of selecting suppliers is still done manually with criteria limited to quantitative criteria, so that the process takes a long time and the results are not precise. The purpose of this study is to build a decision support system for supplier recommendations quickly and precisely in meeting the company's needs. The supplier selection process uses the Rank-Order Centroid (ROC) method in weighting the criteria and the Additive Ratio Assessment (ARAS) for ranking. ARAS value obtained is the K value that is ranked to get the best supplier by using a computerized decision support system. The application of these two methods can speed up the results of decisions, does not take a long time and the results obtained are also maximum.


2021 ◽  
pp. 601-615
Author(s):  
Ecem Gizem Babadağ ◽  
İdil Bıçkı ◽  
Halil Çağın Çağlar ◽  
Yeşim Deniz Özkan-Özen ◽  
Yücel Öztürkoğlu

2012 ◽  
Vol 538-541 ◽  
pp. 586-589
Author(s):  
Li Ying Peng ◽  
Li Hua Liu ◽  
Ai Ming Deng

In the text through analyzing the maintenance and support system of surface-to-air missile equipment is given a process model for the corrective maintenance, preventive maintenance. Spare parts supply and support equipment usage. The model can be used for the surface-to-air maintenance and support analysis and has reference to the maintenance and support simulation research for the other equipment with its good universality.


2001 ◽  
Vol 14 (1) ◽  
pp. 76-78 ◽  
Author(s):  
E. Akcalt ◽  
M. Davis ◽  
R.D. Hamlin ◽  
T. McCullough ◽  
T. Teyner ◽  
...  

2021 ◽  
Vol 5 (1) ◽  
pp. 51-58
Author(s):  
Syaiful Ramadhan ◽  
Anang Dwi Kuncoro ◽  
Asep Iwa Soemantri

The importance of maritime defense and State Diplomacy is faced with the problems that exist in Koarmada II, especially related to the maintenance of warship, especially related to the support of On Board Spare (OBS) spare parts. Problem solving solutions are needed, among others, the first is to streamline and streamline the operation degree so that it is right on target against the reemergence of potential threats to maritime defense and security, the second is to evaluate, record, record and record everything related to spare parts needs OBS warship which carries out operational tasks, and improves the professionalism of soldiers based on technology and information, as well as increasing the ability to observe and supervise up to the ability to take action against perpetrators of violations of sovereignty at sea. The research approach used is descriptive quantitative method, which examines how Supply Chain Management (SCM) and Decision Support System (DSS) using the Structural Equation Modeling-Partial Least Square (SEM-PLS) analysis approach which originates from questionnaires. Data analysis was assisted by SmartPLS 2.0 software. The research samples were soldiers who served in Koarmada II based in Surabaya. The results showed that Supply Chain Management had a significant effect on Operational Readiness. These results indicate that Supply Chain Management has a positive and significant direct effect on Operational Readiness. Decision Support System has a significant effect on Operational Readiness. These results indicate that the Decision Support System has a positive and significant direct effect on Koarmada II Operational Readiness. Supply Chain Management and Decision Support System for Warship Spare Parts do not have a positive and significant direct effect on Koarmada II Operation Readiness.


2017 ◽  
Vol 174 ◽  
pp. 706-710
Author(s):  
Liu Shenyang ◽  
Huang Zhijie ◽  
Zhu Qian ◽  
Zhu Chen

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8324
Author(s):  
Jiaju Wu ◽  
Huijun Liu ◽  
Hongfu Zuo ◽  
Zheng Cheng ◽  
Yonghui Yang ◽  
...  

Spare parts are one of the important components of the equipment comprehensive support system. Spare parts management plays a decisive role in achieving the desired availability with the minimum cost. With the equipment complexity increasing, the price of spare parts has risen sharply. The traditional spare parts management makes the contradiction between fund shortage and spare parts shortage increasingly prominent. Based on the analysis of the multi-echelon and multi-indenture spare parts support model VARI-METRIC (vary multi-echelon technology for recoverable item control, VARI-METRIC), which is widely used by troops and enterprises in various countries, the model is mainly used in high system availability scenarios. However, in the case of low equipment system availability, the accuracy and cost of model inventory prediction are not ideal. This paper proposed the multi-level spare parts optimization model, which is based on the demand-supply steady-state process. It is an analytical model, which is used to solve the low accuracy problem of the VARI-METRIC model in the low equipment system availability. The analytical model is based on the multi-level spare parts support process. The article deduces methods for solving demand rate, demand–supply rate, equipment system availability, and support system availability. The marginal analysis method is used in the model to analyze the spare parts inventory allocation strategy’s current based cost and availability optimal value. Finally, a simulation model is established to evaluate and verify the model. Then, the simulation results show that, when the low availability of equipment systems are 0.4, 0.6, the relative errors of the analytical model are 3.54%, 3.86%, and its costs are 0.52, 1.795 million ¥ RMB. The experiment proves that the inventory prediction accuracy of the analytical model is significantly higher than that of the VARI-METRIC model in low equipment system availability. Finally, the conclusion and future research directions are discussed.


2021 ◽  
Vol 4 ◽  
pp. 112-118
Author(s):  
V.P. Strelnikov ◽  
◽  
P.V. Strelnikov ◽  

To ensure high operational reliability of electronic equipment, maintenance and repair, and pro-long the service life of the equipment, there is proposed a system which comprises diagnostics and repair tools, sets of spare parts (so-called «ZIP»), including spare parts design to ensure re-liability criteria of the system, i.e., sufficiency, composition and the number of spare parts that are expected to ensure the operation of the system with the required reliability. The paper pro-poses to use the method of calculating spare parts on the basis of more adequate models of reli-ability which leads to more accurate forecasting of the required amount of spare elements and, as a result, to more efficient completeness of the equipment with spare parts. There have been determined the methods of replenishing which are used depending on the purpose of the equip-ment, the system of its maintenance and repair, the requirements for equipment reliability: whether it is periodic, or continuous, periodic replenishment with emergency deliveries or re-plenishment by level. To ensure high operational reliability of electronic equipment, mainte-nance and repair, and prolong the service life of the equipment, a support system is proposed, which includes diagnostic and repair tools, sets of spare parts, etc. The design of spare parts with compliance with the criteria of system operation reliability is considered. The task of re-quirements to the indicators of sufficiency of spare parts for products with non-renewable spare elements has been determined. The task of requirements to spare parts adequacy indicators for products with renewable spare parts has been distinguished as well. The article also considers an approach to the calculation and some principles of calculation of indicators of spare parts sets sufficiency.


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