Managing disruptions in aircraft assembly lines with staircase criteria

2022 ◽  
pp. 1-17
Author(s):  
Damien Lovato ◽  
Romain Guillaume ◽  
Caroline Thierry ◽  
Olga Battaia
Keyword(s):  
Assembly Lines ◽  
Aircraft Assembly

An adaptive BPSO algorithm for multi-skilled workers assignment problem in aircraft assembly lines

2015 ◽  
Vol 35 (4) ◽  
pp. 317-328 ◽  
Author(s):  
Bo Xin ◽  
Yuan Li ◽  
Jianfeng Yu ◽  
Jie Zhang
Keyword(s):  
Cycle Time ◽  
Assignment Problem ◽  
Stability And Convergence ◽  
Binary Particle Swarm Optimization ◽  
Assembly Lines ◽  
Skilled Workers ◽  
Time Model ◽  
Content Type ◽  
Aircraft Assembly ◽  
Human Cost

Purpose – The purpose of this paper is to investigate the multi-skilled workers assignment problem in complex assembly systems such as aircraft assembly lines. An adaptive binary particle swarm optimization (A-BPSO) algorithm is proposed, which is used to balance the workload of both assembly stations and processes and to minimize the human cost. Design/methodology/approach – Firstly, a cycle time model considering the cooperation of multi-skilled workers is constructed. This model provides a quantitative description of the relationship between the cycle time and multi-skilled workers by means of revising the standard learning curve with the “Partition-And-Accumulate” method. Then, to improve the accuracy and stability of the current heuristic algorithms, an A-BPSO algorithm that suits for the discrete optimization problems is proposed to assign multi-skilled workers to assembly stations and processes based on modified sigmoid limiting function. Findings – The proposed method has been successfully applied to a practical case, and the result justifies its advantage as well as adaptability to both theory and engineering application. Originality/value – A novel cycle time model considering cooperation of multi-skilled workers is constructed so that the calculation results of cycle time are more accurate and closer to reality. An A-BPSO algorithm is proposed to improve the stability and convergence in dealing with the problems with higher dimensional search space. This research can be used by the project managers and dispatchers on assembly field.

Aid tool for the design of process and aircraft assembly lines

2012 ◽  
Vol 23 (1) ◽  
pp. 387-398 ◽  
Author(s):  
Bernard Anselmetti ◽  
Benoît Fricero
Keyword(s):  
Assembly Lines ◽  
Aircraft Assembly

Study on Aircraft Assembly Line Balancing Problem Based on Mobile Workers

2016 ◽  
Author(s):  
Jie Zhang ◽  
Bo Xin ◽  
Pan Wang
Keyword(s):  
Assembly Line ◽  
Particle Swarm ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Stability And Convergence ◽  
Particle Swarm Algorithm ◽  
Binary Particle Swarm Optimization ◽  
Assembly Lines ◽  
Aircraft Assembly ◽  
Assembly Line Balancing Problem

In order to improve the balance and load equilibrium of aircraft assembly lines, and to enhance the management of on-site resources, a Type-E balancing method was proposed based on the mobile operation of assembly personnel in the aircraft assembly line. This method was aimed to minimize the smoothness index of the overall assembly line and each assembly station, and also to minimize manpower costs. First, a model of personnel flow and an assembly line balancing model were constructed based on the characteristics of aircraft assembly lines. Next, an Accelerated Binary Particle Swarm Optimization (ABPSO) based on improved sig function was designed in order to improve the original stability and convergence of the standard binary particle swarm algorithm. Finally, the validity of the method was verified with a real fuselage assembly line and the results show the effectiveness.

Analysis of chaotic dynamics for aircraft assembly lines

2018 ◽  
Vol 38 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Bo Xin ◽  
Yuan Li ◽  
Jian-feng Yu ◽  
Jie Zhang
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Study ◽  
Learning Curve ◽  
Production Rate ◽  
Learning Ability ◽  
Practical Case ◽  
Assembly Lines ◽  
Content Type ◽  
Time Dynamics ◽  
Aircraft Assembly

Purpose The purpose of this paper is to investigate the nonlinear dynamics of the aircraft assembly lines. An approach for modeling and analyzing the production rate of an aircraft assembly line is introduced using the chaos theory. Design/methodology/approach First, two key system variables including reliability and learning ability are considered to control the dynamics model. The discrete-time dynamics equation of the production rate is established as a function of the reliability and the learning rate. Then an improved Gauss-learning curve is proposed and applied to aircraft assembling condition. Finally, the bifurcation diagrams and the maximal Lyapunov exponents are used and applied to the experimental study to analyze the dynamic behavior under different combinations of parameters. Findings On the basis of the experimental study, it is shown that chaotic behavior really exists in the aircraft assembly lines. The reliability and the Gauss-learning curve can nonlinearly affect the production rate. Originality/value This paper applied nonlinear dynamics and chaotic theory to the production analyses of the aircraft assembly lines for the first time. The proposed model has been successfully applied to a practical case, and the result justifies its advantage as well as feasibility to both theory and engineering application.

Wheel design and motion analysis of a new heavy-duty AGV in aircraft assembly lines

2019 ◽  
Vol 40 (3) ◽  
pp. 387-397
Author(s):  
Junxia Jiang ◽  
Shenglin Zhang ◽  
Yuxiao He
Keyword(s):  
Dynamic Models ◽  
Kinematic Model ◽  
Aviation Industry ◽  
Heavy Duty ◽  
Assembly Lines ◽  
Heavy Load ◽  
Friction Forces ◽  
Content Type ◽  
Aircraft Assembly ◽  
Steering Mechanism

Purpose The flexible automatic transportation and manual assembly jobs for large aircraft components demand an automated guided vehicle (AGV) system with heavy-duty capacity and omnidirectional movability. This paper aims to propose a four driving-steering wheels-four supporting-steering wheels (4DSW-4SSW) layout plan to enhance the controllability and moving stability of AGV. Design/methodology/approach The anti-vibration structure of DS wheels and high-torque steering mechanism of SS wheels with tapered rolling bearings are rigorously designed to meet the functional requirements. Based on the specific wheel layout and vehicle dynamics, the rotational kinematic model as well as the straight and rotational dynamic models of AGV are established by the authors. To well verify the motion characteristics of wheels under heavy load in three motion states including straight motion, self-rotation and rotation around a certain point, the simulations in ADAMS and factory experiments have all been conducted. Findings Simulation results indicate that normal and friction forces of DS wheels and SS wheels are very stable except for some small oscillations, which are caused by non-center load distribution on AGV. Experimental results on driving speed of AGV have directly demonstrated that its positioning accuracy is enough for use in real aircraft assembly lines. Practical implications The designed AGV system has been applied to the final assembly line of a certain aircraft in Aviation Industry Corporation of China, Ltd, whose assembly efficiency and flexibility have been significantly improved. Originality/value A new layout plan of wheels for an omnidirectional heavy-duty AGV is proposed, which enhances the operating and moving capacity of AGV. A function of human-machine collaboration is also offered by the AGV for transporting large workpieces intelligently and economically in aerospace and other heavy industries.

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