Cell Layout of Aircraft Assembly System Based on Sequence Pair

2012 ◽  
Vol 271-272 ◽  
pp. 801-805
Author(s):  
Jia Jia Xu ◽  
Yuan Li ◽  
Jian Feng Yu ◽  
Jie Zhang
Keyword(s):  
Solution Structure ◽  
Simulated Annealing Algorithm ◽  
Assembly System ◽  
Sequence Pair ◽  
Logistics Network ◽  
Aircraft Assembly ◽  
System A ◽  
Assembly Cell ◽  
Annealing Algorithm ◽  
Transportation Route

This paper aims to investigate the cell layout problem of aircraft assembly system. A mathematical model for this problem is proposed, taking into account the integration design of cell layout and logistics network. The means of logistics transportation are divided into horizontal transportation and space transportation, meanwhile, the logistics transportation route is calculated. Based on sequence pair, the presentation of solution structure for cell layout is put forward, and the solution structure is solved using simulated annealing algorithm. This method is applied successfully to the assembly cell layout of the fuselage-wing assembly system for a giant aircraft, and the result shows its feasibility and effectiveness.

Acoustic Optimization Design Method of Gear System

2014 ◽  
Vol 1016 ◽  
pp. 256-260
Author(s):  
Ze Yin He ◽  
Teng Jiao Lin ◽  
Wen Liu ◽  
Bo Liu
Keyword(s):  
Simulated Annealing ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Design Method ◽  
Gear System ◽  
Acoustic Properties ◽  
System A ◽  
Surface Method ◽  
Radiation Noise ◽  
Annealing Algorithm

The Response Surface Method (RSM) and Simulated Annealing Algorithm (SAA) are utilized to analysis and optimize the vibro-acoustic properties of gear system. A simple case is illustrated to demonstrate the capabilities of the acoustic optimization design method. The results show that the method of acoustic optimization design based on RSM and SAA can effectively reduce radiation noise, and provide theoretical fundament and guidance for further study on acoustic optimization design of complicated gear system.

Optimization of a Two Degree of Freedom System Acting as a Dynamic Vibration Absorber

2008 ◽  
Vol 130 (1) ◽  
Author(s):  
M. Febbo ◽  
S. A. Vera
Keyword(s):  
Simulated Annealing Algorithm ◽  
Degree Of Freedom ◽  
Vibration Absorber ◽  
Dynamic Vibration Absorber ◽  
Dynamic Vibration ◽  
System A ◽  
Annealing Algorithm ◽  
Minimum Amplitude ◽  
Two Degree Of Freedom ◽  
Heuristic Criterion

This paper deals with the problem of finding the optimal stiffnesses and damping coefficients of a two degree of freedom (2DOF) system acting as a dynamic vibration absorber (DVA) on a beam structure. In this sense, a heuristic criterion for the optimization problem will be developed to contemplate this particular type of DVA. Accordingly, it is planned to minimize the amplitude of vibration in predetermined points of the main structure. Two optimizations will be proposed for two DVAs of 1DOF to compare their performances with the optimized 2DOF system. A simulated annealing algorithm is used to obtain the DVA’s optimal parameters for minimum amplitude in a given point of the beam. The best configuration depends on the location of the absorbers on the beam and, for a fixed location, on the distribution of the stiffness constants.

Model and Algorithm for Multi-Commodity Logistics Network Design Considering Service Level Constraint

2011 ◽  
Vol 268-270 ◽  
pp. 36-41
Author(s):  
Jin Qin ◽  
Ling Lin Ni ◽  
Xiao Bo Zhao
Keyword(s):  
Network Design ◽  
Simulated Annealing Algorithm ◽  
Service Level ◽  
Network Design Problem ◽  
Location Decision ◽  
Numerical Application ◽  
Logistics Network ◽  
Annealing Algorithm ◽  
Inventory Decision ◽  
Combined Algorithm

In the logistics network design, the decision-maker should not only select proper places to save commodities, but also determine the quantity of commodities saving in each place. This paper assumed the demands are stochastic and satisfy a normal distribution, and proposed a new optimization model which simultaneously described the inventory decision and the facility location decision. A combined algorithm based on the simulated annealing algorithm is used to solve and analysis the numerical example. Numerical application denotes the model and the algorithm operate rapidly and the results are rational, so it provides scientific guidance for the multi-commodity logistics network design problem.

scholarly journals Addressing the Bike Repositioning Problem in Bike Sharing System: A Two-Stage Stochastic Programming Model

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Qiong Tang ◽  
Zhuo Fu ◽  
Dezhi Zhang ◽  
Hao Guo ◽  
Minyi Li
Keyword(s):  
Stochastic Programming ◽  
Simulated Annealing Algorithm ◽  
Programming Model ◽  
Two Stage ◽  
System A ◽  
Penalty Costs ◽  
Bike Sharing ◽  
Holding Cost ◽  
Stochastic Programming Model ◽  
Annealing Algorithm

In this paper, a bike repositioning problem with stochastic demand is studied. The problem is formulated as a two-stage stochastic programming model to optimize the routing and loading/unloading decisions of the repositioning truck at each station and depot under stochastic demands. The goal of the model is to minimize the expected total sum of the transportation costs, the expected penalty costs at all stations, and the holding cost of the depot. A simulated annealing algorithm is developed to solve the model. Numerical experiments are conducted on a set of instances from 20 to 90 stations to demonstrate the effectiveness of the solution algorithm and the accuracy of the proposed two-stage stochastic model.

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