An Automated Process Planning System Based on Genetic Algorithm and Simulated Annealing

Author(s):  
G. H. Ma ◽  
F. Zhang ◽  
Y. F. Zhang ◽  
A. Y. C. Nee

The paper presents the development of a computer-aided process planning (CAPP) system based on Genetic Algorithm (GA) and Simulated Annealing (SA). The system employs an optimization modeling method that generates all the feasible operation-method alternatives. It also provides flexible optimization criteria that will satisfy the various needs from different job-shops and/or job-batches. Two search algorithms based on GA and SA respectively have been developed to solve the problem effectively. Also, the system provides manufacturability analysis function, which gives designers and job shop operators helpful information about the manufacturing.

2013 ◽  
Vol 416-417 ◽  
pp. 919-924
Author(s):  
Hong Xia Yang ◽  
Wei Dong Chen ◽  
Hua Sheng Feng

With the rapid development of modern science and technology and computer technique, modern enterprise faces new challenges for product design, production, management, market planning and sales. The products of enterprises develop towards diversification, serialization and individualization. Technological design is important in product manufacturing process and is a bond of product design and actual production. Therefore, modern enterprises need to develop computer aided process planning system to improve the quality and efficiency of process design of the enterprise. Starting from the requirements of enterprises on computer aided process planning systems and combining the existing Web technology, the paper proposes the study on integration of computer aided process planning system and PDM system. The development and application of the system not only provides strong support for enterprises realizing rapid design and manufacture and strong basis for enterprises realizing computer integrated manufacturing system, but also makes informationization degree, economic benefit and social benefit of enterprises improve greatly.


2019 ◽  
Vol 13 (6) ◽  
pp. 825-833
Author(s):  
Isamu Nishida ◽  
◽  
Shogo Adachi ◽  
Keiichi Shirase

To realize autonomous machining, it is necessary to focus on machining tools and also on the automation of process planning in the preparation stage. This study proposes a process planning system that automatically defines the machining region and determines the machining sequence. Although previous studies have explored computer-aided process planning, only a few have considered geometric tolerances. Geometric tolerances are indicated on product drawings to eliminate their ambiguity and manage machining quality. Geometric dimensioning and tolerancing (GD&T) is a geometric tolerance standard applied to a three-dimensional computer-aided design (3D CAD) model and are expected to be used for the digitization of manufacturing. Therefore, this study developed an automated process planning system by using GD&T as a sequencing constraint. In the proposed system, the machining sequence is automatically determined by the geometrical constraints, which indicate whether the tool can approach, and GD&T, which indicates the geometric tolerance and datum in a 3D CAD model. A case study validated the proposed method of automated process planning constrained by GD&T. The result shows that the proposed system can automatically determine the machining sequence according to the geometric tolerance in a 3D CAD model.


Author(s):  
Chiung Moon ◽  
◽  
Mitsuo Gen ◽  

In this paper, we propose a model for machines sequencing considering operation flexibility and automated guided vehicle (AGV) guidepath for computer-aided process planning system. The machine sequences for all parts should be selected based on the following multiple criteria: (1) minimizing the sum of machine processing time and the material handling time of all the parts considering production volume, machining time, machine capacity, material handling time, and capacity of transfer device and (2) balancing workload between machines. A genetic algorithm is developed to solve the problem and numerical examples are presented to illustrate the efficiency of proposed approach.


1993 ◽  
Vol 1993 (173) ◽  
pp. 409-419 ◽  
Author(s):  
Yukio Ueda ◽  
Hidekazu Murakawa ◽  
Rashwan Ahmed Mohamed ◽  
Isao Neki ◽  
Ryoichi Kamichika ◽  
...  

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