Productivity Analysis and Optimization of Aircraft Assembly Line Based on Delmia-Quest

2019 ◽  
pp. 1150-1159
Author(s):  
Heng Zhong ◽  
Xiaojun Zhang ◽  
Jun Hu ◽  
Shuntao Liu ◽  
Xinyun Shao
Keyword(s):  
Assembly Line ◽  
Productivity Analysis ◽  
Aircraft Assembly

Aircraft Final Assembly Line Balancing and Workload Smoothing: A Methodological Analysis

2012 ◽  
Vol 502 ◽  
pp. 19-24 ◽  
Author(s):  
J. Ríos ◽  
F. Mas ◽  
J.L. Menéndez
Keyword(s):  
Assembly Line ◽  
Methodological Approach ◽  
Conceptual Modeling ◽  
Assembly Line Balancing ◽  
Precedence Constraints ◽  
Line Balancing ◽  
Objective Functions ◽  
Aircraft Assembly ◽  
Final Assembly ◽  
Specific Parameter

Assembly Line Balancing (ALB) comprises ordering of tasks among workstations to satisfy precedence constraints and objective functions. Due to the specific features of an aircraft, such approach is not fully suitable for the case of an aircraft Final Assembly Line (FAL). Where, the number of workstations relates to technological criteria rather than to a calculation aiming to minimize a specific parameter. Workload smoothing is addressed once the FAL configuration is defined. To improve current practices, a methodological approach was taken to address the conceptual modeling of an aircraft assembly line.

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.

Knowledge-enabled digital twin for smart designing of aircraft assembly line

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiao Chang ◽  
Xiaoliang Jia ◽  
Kuo Liu ◽  
Hao Hu
Keyword(s):  
Design Process ◽  
Assembly Line ◽  
Design Method ◽  
Physical Interaction ◽  
Efficient Design ◽  
Content Type ◽  
Improve Design ◽  
Aircraft Assembly ◽  
Digital Twin ◽  
Design Scheme

Purpose The purpose of this paper is to provide a knowledge-enabled digital twin for smart design (KDT-SD) of aircraft assembly line (AAL) to enhance the AAL efficiency, performance and visibility. Modern AALs usually need to have capabilities such as digital-physical interaction and self-evaluation that brings significant challenges to traditional design method for AAL. The digital twin (DT) combining with reusable knowledge, as the key technologies in this framework, is introduced to promote the design process by configuring, understanding and evaluating design scheme. Design/methodology/approach The proposed KDT-SD framework is designed with the introduction of DT and knowledge. First, dynamic design knowledge library (DDK-Lib) is established which could support the various activities of DT in the entire design process. Then, the knowledge-driven digital AAL modeling method is proposed. At last, knowledge-based smart evaluation is used to understand and identify the design flaws, which could further improvement of the design scheme. Findings By means of the KDT-SD framework proposed, it is possible to apply DT to reduce the complexity and discover design flaws in AAL design. Moreover, the knowledge equips DT with the capacities of rapid modeling and smart evaluation that improve design efficiency and quality. Originality/value The proposed KDT-SD framework can provide efficient design of AAL and evaluate the design performance in advance so that the feasibility of design scheme can be improved as much as possible.

Modeling and Simulation of Aircraft Assembly Line Based on Quest

2012 ◽  
Vol 569 ◽  
pp. 666-669 ◽  
Author(s):  
Hu Lu ◽  
Xia Liu ◽  
Wei Pang ◽  
Wen Hua Ye ◽  
Bi Sheng Wei
Keyword(s):  
Modeling And Simulation ◽  
Process Model ◽  
Production Efficiency ◽  
Assembly Line ◽  
Simulation Software ◽  
Assembly Process ◽  
Simulation And Optimization ◽  
Aircraft Assembly ◽  
Modeling Simulation ◽  
Aircraft Production

The assembly line is very complicated and its performance directly determines the aircraft production efficiency and cost. Therefore, the modeling, simulation and optimization for aircraft assembly line are very important. In this paper, a modeling and simulation approach for aircraft assembly line based on Quest simulation software has been investigated. Firstly, the characteristics of the aircraft assembly and Quest are briefly introduced in this article. Then, the assembly process model of center fuselage was established, the assembly process is simulated and analyzed, the bottleneck in the production line has been found, which can be used to optimize the assembly line.

scholarly journals Virtual improvement of a historical aircraft assembly line

2017 ◽  
Vol 13 ◽  
pp. 1312-1319 ◽  
Author(s):  
J. Ortegón ◽  
F. Mas ◽  
A. Gomez-Parra ◽  
M. Marcos
Keyword(s):  
Assembly Line ◽  
Aircraft Assembly

scholarly journals Resource Efficient Configuration of an Aircraft Assembly Line

Procedia CIRP ◽  
2016 ◽  
Vol 41 ◽  
pp. 236-241 ◽  
Author(s):  
Alessandra Caggiano ◽  
Adelaide Marzano ◽  
Roberto Teti
Keyword(s):  
Assembly Line ◽  
Aircraft Assembly

scholarly journals Waste analysis of fuselage assembly in panelization group of the 117th NC212i aircraft

2020 ◽  
Vol 4 (1) ◽  
pp. 61-71
Author(s):  
Frisca Pomalia ◽  
Irwan Iftadi ◽  
Rahmaniyah Dwi Astuti
Keyword(s):  
Assembly Line ◽  
Assessment Model ◽  
Order System ◽  
Pareto Principle ◽  
Single Source ◽  
Third Place ◽  
Aircraft Assembly ◽  
Make To Order ◽  
Late Delivery

Dirgantara Indonesia (PTDI) is the single source producer of the NC212i Aircraft. Almost every Aircraft is delivered to the customer over the deadline date. The existence of waste is believed to be one of causing the late delivery. Based on observations of the 117th NC212i Aircraft assembly line, which is precisely at the fuselage assembly in the paneling group, six wastes are identified: waiting, transportation, overprocessing, inventory, and motion. Waste of overproduction does not occur because PTDI applies MTO (Make to Order) system. These 6 wastes are then processed using Waste Assessment Model (WAM). The ranking result is: first place is 25% for defects, second place is 23% for waiting, third place is 17% for motion, fourth place is 15% for inventory, fifth place is 13% for transportation, sixth place is 8% for overprocessing, and seventh place is 0% for overproduction. Three critical wastes based Pareto principle can be minimized, so the delay of aircraft delivery can be reduced.

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