
Performance Analysis of Complex Manufacturing System using Petri Nets Modeling Method
Author(s) -
Amit Kumar,
V. Ravi Kumar,
Vikas Modgil,
Ajay Kumar,
Apurva Sharma
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1950/1/012061
Subject(s) - unavailability , petri net , computer science , stochastic petri net , task (project management) , reliability engineering , process architecture , petri dish , real time computing , industrial engineering , distributed computing , systems engineering , engineering , biology , genetics
The Petri nets modeling method is a powerful tool for the performance analysis of industrial systems. The main factor which makes it more effective among the various popular simulation methods is the ability to deal with the real working conditions. The data obtained from such a manufacturing system is generally full of uncertainties and the Petri nets modeling method deals with this data to reflect the real behavioral pattern of different sub-systems installed in the plant. The Petri nets-based simulation method provides the availability of the sub-systems for a long time period by running the plant in virtual manners. The results obtained through the analysis can be utilized to identify those sub-systems which highly affect the system availability and separate maintenance planning for each sub-system can reduce the production loss due to unavailability of any sub-system for performing its intended task. The proposed methodology has been demonstrated in this paper using a complex repairable manufacturing system.