ANFIS based Machine Repair Model with Control Policies and Working Vacation

被引：5

作者：

Sethi, Rachita ^{[1
]}

Bhagat, Amita ^{[2
]}

Garg, Deepika ^{[1
]}

机构：

[1] GD Goenka Univ, Dept Math, Gurugram 122103, India

[2] Jaypee Inst Informat Technol, Dept Math, Noida 201309, India

来源：

INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES | 2019年 / 4卷 / 06期

关键词：

Machine-repair; Start-up time; Threshold recovery; Cost analysis; ANFIS; QUEUING SYSTEM; QUEUES; ARRIVAL; TIME;

D O I：

10.33889/IJMEMS.2019.4.6-120

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study is concerned with the transient state analysis of M/M/1 machine repairable system consisting of M operating units. F-policy is quite useful to avoid the overloading of failed machines that arrive for repair in the system. The failed machines are repaired by a server that is susceptible to failure and follows the threshold recovery while being repaired. The server leaves for a vacation if there are no machines waiting in the system for the repair. Runge-Kutta method is implemented to solve the governing equations and evaluate the system's state probabilities. Cost function is also designed to determine the system's minimum cost. In addition, the numerical outcomes acquired by the Runge-Kutta method are compared with the results generated by adaptive neuro-fuzzy inference system (ANFIS).

引用

页码：1522 / 1533

页数：12

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