scholarly journals AN INTELLIGENT PROCESS PLANNING CONCEPT USING AN AGENT-BASED APPROACH

Author(s):  
Dirk Biermann ◽  
Andreas Zabel ◽  
Thomas Michelitsch ◽  
Petra Kersting

Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou

Computer Aided Process Planning is very hot topic in the manufacturing. It uses the geometric information (such as shape, size, etc.) and information technology (such as materials, heat treatment, bulk, etc.) which are input into the computer to output parts of the route of the process and the procedures automatically. Process planning is very important in the manufacturing process. With the continuous development of the manufacturing sector, the traditional manual methods of Process Planning flaws more and more serious. Computer-aided technology can increase their technical capacity effectively. CAPP is an effective means to improve the design. The research of CAPP has got a very huge development, from the search logic structure, Variant, Generative, and Hybrid to Expert System. In the future, the development of the CAPP will focus on the extending of the application scope, depth and level. In this chapter, a general introduction is presented firstly. Then the application of genetic algorithm (GA) to CAPP is introduced. Thirdly implement of ANN in CAPP System is presented. In the fourth part, use of Case-Based Reasoning in CAPP is discussed. Fourthly, CAPP based on Multi-Agent (MAS) system is illustrated.


Author(s):  
Saurabh Deshpande ◽  
Jonathan Cagan

Abstract Many optimization problems, such as manufacturing process planning optimization, are difficult problems due to the large number of potential configurations (process sequences) and associated (process) parameters. In addition, the search space is highly discontinuous and multi-modal. This paper introduces an agent based optimization algorithm that combines stochastic optimization techniques with knowledge based search. The motivation is that such a merging takes advantage of the benefits of stochastic optimization and accelerates the search process using domain knowledge. The result of applying this algorithm to computerized manufacturing process models is presented.


2010 ◽  
Vol 76 (6) ◽  
pp. 658-662
Author(s):  
Masanori MUROZUMI ◽  
Keiji OGAWA ◽  
Heisaburo NAKAGAWA ◽  
Yoshiaki KAKINO

2020 ◽  
Vol 191 ◽  
pp. 105247 ◽  
Author(s):  
Chao Zhang ◽  
Guanghui Zhou ◽  
Junsheng Hu ◽  
Jing Li

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