Probabilistic behavior and reliability analysis for a multi-robot system by applying Petri net and Markov renewal process theory

Qun Jin, Yoshio Sugasawa, Koichiro Seya

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The strategic importance of robots in the workplace has greatly increased in recent years as an ever wider variety have been introduced into a whole host of industrial production lines. However, when these robots are examined in the context of the entire production system a number of problems can be identified. Firstly, the slowness of the operating time and secondly the fall-off in efficiency and reliability of the system when a robot is integrated with other units. This paper seeks to carefully analyze the behavior of two robots in a combination of arrangements. The robots operate independently and in coordination with each other and then each of them operates in conjunction with a conveyer incorporated in the system. Operations are then represented in a Petri net model and analysis of probabilistic behavior and reliability is performed with introducing of Markov renewal process. In terms of numerical examples a comparison of uniform and non-uniform mean operating time intervals is made in order to determine the effect of irregularities in robot operations on the system as a whole.

Original languageEnglish
Pages (from-to)993-1001
Number of pages9
JournalMicroelectronics Reliability
Volume29
Issue number6
DOIs
Publication statusPublished - 1989
Externally publishedYes

Fingerprint

Petri nets
reliability analysis
Markov processes
Reliability analysis
robots
Robots
irregularities
intervals

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Probabilistic behavior and reliability analysis for a multi-robot system by applying Petri net and Markov renewal process theory. / Jin, Qun; Sugasawa, Yoshio; Seya, Koichiro.

In: Microelectronics Reliability, Vol. 29, No. 6, 1989, p. 993-1001.

Research output: Contribution to journalArticle

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