Mathematical model for analysing availability of threshing combine machine under reduced capacity

Author:

Singla Shakuntla1,Modibbo Umar2,Mijinyawa Mohammed2,Malik Subhash3,Verma Shubham3,Khurana Pooja4

Affiliation:

1. Department of Mathematics and Humanities, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India

2. Department of Statistics and Operations Research, Modibbo Adama University, Yola, P.M.B., Yola, Nigeria

3. Department of Mechanical Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, India

4. Department of Applied Sciences, Manav Rachna International Institute of Research and Studies, Faridabad, India

Abstract

Obtaining system availability in an engineering design is trickish and challenging, especially when there is a reduction in capacity; however, it supports system maintainability. In this paper, a mathematical model for finding the availability under the reduced capacity has been proposed using the Chapman Kolmogorov approach with the help of transition diagrams associated with various possible combinations of probabilities. The paper observes the most critical subsystem by selecting variable failure and repair rates from different subsystems. It deals with the sensitivity analysis of a complex repairable threshing combined machine comprising subsystems in a series configuration and the threshing machine consisting of 21 subsystems. The device works in total capacity when the threshing drum and feeding Hooper work in the complete state, and the concave subsystem and blower work with reduced power. This study dealt with uncertain data and was analyzed analytically using a complex repairable system. The availability of the entire machine has been investigated analytically, and various availability indices such as subsystems extruder have been computed and reported. The study discovered that subsystem extruder has the most impact on some subsystems? overall system availability.

Publisher

National Library of Serbia

Subject

Management Science and Operations Research

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