Abstract
Due to failure, partial failure, or maintenance, the capacity of each machine is multi-state. Therefore, the limited relationship between the capacity of each machine and the input raw materials has to be considered. Additionally, in order to utilize the machine more effectively, the capacity of the buffers cannot be ignored, too. In this paper, a dynamic adaptive fuzzy reasoning Petri net is proposed to evaluate reliability of a manufacturing system with multiple production lines. Firstly, the model of manufacturing system is conducted, and from the perspective of demand, the minimum capacity vector and loading vector of each machine are determined. Secondly, knowledge representation and rules are formulated to establish weighted fuzzy petri nets. And the weighted fuzzy Petri net is adaptive based on the real-time level of buffers, the minimum capacity vector and loading vector. Moreover, the efficiency of product production can be improved while ensuring system reliability by adjusting the buffer level. Finally, a numerical experiment is used to demonstrate the application of our method.
Highlights
With the development of the manufacturing industry and the increasing customer’s demand, manufacturers are facing the challenge of improving reliability of products
Manufacturing system is a combination of people, machines and equipment, The associate editor coordinating the review of this manuscript and approving it for publication was Baoping Cai
Many methodologies such as reliability block diagram, failure mode effect analysis (FMEA) and event tree analysis are used in the reliability analysis [7]–[9]
Summary
With the development of the manufacturing industry and the increasing customer’s demand, manufacturers are facing the challenge of improving reliability of products. The manufacturing system is divided into general manufacturing paths and reworking paths to meet production demands [4]–[6] Many methodologies such as reliability block diagram, failure mode effect analysis (FMEA) and event tree analysis are used in the reliability analysis [7]–[9]. A dynamic adaptive fuzzy reasoning petri net (DAFRPN) is proposed to evaluate reliability of a manufacturing system with multiple production lines. (1) On the premise of comparing the machine’s capacity and the level of loading, the impact of the buffer capacity on the reliability of the manufacturing system is considered, and combining knowledge representation and rules, the DAFRPN is formulated.
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