System Dynamics Analysis Approach

Dynamic behavior simulation for shipping equipment support with a system dynamic analysis approach on spare parts is the basic material of magnitude that can sustain normal operating conditions for equipment support. All-in support costs comprise a large part of the entire life cycle of warship equipment, which can avoid shortages of funds and spare parts, therefore, it is very important to make a rational allocation of spare parts for accurate and timely equipment support work. During missions at sea, warship equipment usually faces the problem of difficulty getting material supplies, when warship equipment is not functioning or getting normal maintenance. Its performance needs to be improved through voyage repair, and these materials are required for maintenance which can be provided by warships carrying spare parts. Shortage of spare parts will affect maintenance work, and will even reduce the level of equipment availability; If a warship carries a large number of spare parts to ensure running equipment in good condition, Analysis Approach whether the number of spare parts needed is excessive is a matter of great contention, however, excess spare parts will cost the company a lot of money and lead to waste. battleship storage room. That way of meditating is under various constraints such as support costs, battleship space, battleship repair ability and so on. It is no exaggeration to say that the reasonable allocation of spare parts to obtain the largest warship support capability has become a hot issue for equipment support research. In the field of application of spare parts management theory which has attracted many experts and scholars at home and abroad, the METRIC model (Sherbrooke, 1968) is a classic model in the field of repairable parts supply security, providing a theoretical basis for spare parts to ensure optimal allocation . Because the model has several defects in the scope of application and calculation precision, other researchers propose improved models, such as the MOD – METRIC model (Muckstadt, 1973), the VARI – METRIC model (Hillestad, 1982), the DYNA –METRIC model (Sherbrooke, 1986). . The VARI – METRIC model improves on the original METRIC model in multi-level security for the problem of estimating the quantity of missing parts. Aircraft spare parts and warship spare parts are usually limited by time, space and some other constraints aspects, for aviation equipment procurement decision problems at the spare parts inventory level (Yoon & Sohn, 2007), it Analysis Approach develops a two-stage model and combines the characteristics of spare parts procurement which varies the time to solve the problem. In order to overcome the huge losses due to the high cost of spare parts shortages, an allocation model (Costantino, Gravio & Tronci, 2013) was proposed based on the optimal type of spare parts inventory management thinking, taking into account the repair capabilities of the maintenance center combined with system availability. , and multi-level, a variety of spare parts, many spare parts constraints. Regattieria, Gamberia, Gamberinib and Manzinia (2005) proposed an effective prediction method to solve the problem of predicting fluctuations in the demand for aviation spare parts, which proves the independence of fluctuations in the demand for spare parts, both test data and historical data are Analysis Approach used in the algorithm analysis and comparison of results. . Lee, Chew, Teng and Chen (2008) proposed a simulation optimization method used to solve the aviation parts distribution problem, developing a multi-objective evolution algorithm, which is summed up by many factors such as cost, satisfaction rate of parts under the constraints of two different levels. can maintain spare parts inventory distribution planning. Moon, Hicks and Simpson (2012) solved the problem of the frequency of naval ships and the irregularity of the quantity of spare parts demand causing the problem to be difficult to predict, proposed using a combination of historical data and predictive data, and combined with the exponential smoothing method to reduce the time of occurrence of errors in forecasts. Shuhuan, Yanqiao and Jiashan (2013) regard spare parts and warehouse space as a total funding constraint, based on the equipment-level decomposition structure, taking into account the warship parts replacement capability and spare parts failure rate, based on those factors to propose a spare Analysis Approach parts planning model which adopts the method of marginal analysis.