DocumentCode
2960289
Title
New methodology for modeling large scale manufacturing process: Using process mining methods and experts´ knowledge
Author
Viale, Pamela ; Frydman, Claudia ; Pinaton, Jacques
Author_Institution
Lab. des Sci. de l´´Inf. et des Syst., Univ. Aix-Marseille III, Marseille, France
fYear
2011
fDate
27-30 Dec. 2011
Firstpage
84
Lastpage
89
Abstract
Modeling manufacturing process of complex products like electronic chips is crucial to maximize the quality of the production. This paper proposes a new methodology to model large scale manufacturing processes based on activity information as well as experts´ knowledge. DEVS formalism is used for the final models because of its advantages as a formal formalism. This methodology helps to easily detect discrepancies between the actual implementation of processes with experts´ definitions. It also helps to construct general models that could be used later for controlling processes. The idea of STMicroelectronics enterprise is to use these general models to implement an alarm system. The idea is to alert engineers about risky modifications done over STMicroelectronics manufacturing processes. The state of our work towards to model STMicroelectronics´ production processes is presented at the end of this paper.
Keywords
alarm systems; data mining; integrated circuit manufacture; manufacturing processes; process control; product quality; production engineering computing; DEVS formalism; STMicroelectronics enterprise; STMicroelectronics manufacturing process; activity information; alarm system; complex product; electronic chips; expert knowledge; formal formalism; large scale manufacturing process modelling; process mining method; production process control; production quality; risky modification; Adaptation models; Alarm systems; Databases; Manufacturing processes; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Systems and Applications (AICCSA), 2011 9th IEEE/ACS International Conference on
Conference_Location
Sharm El-Sheikh
ISSN
2161-5322
Print_ISBN
978-1-4577-0475-8
Electronic_ISBN
2161-5322
Type
conf
DOI
10.1109/AICCSA.2011.6126595
Filename
6126595
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