Intelligent Computer-Aided process planning and decision making for manufacturing systems is a critical subject, that some might argue, has not received the attention it should have from the research community. Despite the progress made in the area of artificial intelligence, there has not been a major step forward in the area of intelligent computer-Aided process planning. Petri nets provide a powerful tool to characterize, model and analyse discrete events dynamic systems. However, the efforts on process planning in machinery manufacturing systems have very limited use in practise. This paper presents a new Petri net-based methodology to provide process planning where the manufacturing constraints are explicitly incorporated. Initially a Petri net process planning model is developed. The manufacturing constraints are then incorporated with the Petri net model to generate the corresponding T-invariant, namely the non-negative integer solution of a linear equation set. Two examples verify the effectiveness of the proposed method indicating that the proposed T-invariant decision-making approach can be used to achieve desired optimal/suboptimal process plans for a machinery manufacturing system.
|Tidsskrift||Revista Tecnica de la Facultad de Ingenieria Universidad sel Zulia - Technical Journal of the Faculty of Engineering, TJFE|
|Status||Udgivet - 2016|