Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: In the current work, a paper making system has been under consideration for its availability and optimisation. The objective of this paper is to optimize input variables of the paper making system, to maximize system availability. Methods/Analysis: Paper making system consists of mainly, six subsystems connected in series configuration. For analysis, Repair rates, failure rates, Transition rates and PM rates of each subsystem is taken from maintenance history sheets. Markov process with probabilistic approach is used to model the system for availability with ideal PM and faulty PM. Steady state availability is obtained by using normalizing condition. The optimization of a system availability is executed by genetic algorithms. Findings: Findings present in paper show a significant improvement in the system availability. With ideal PM the availability has been increase upto 93.43% whereas in case of faulty PM the availability has been increase upto 91.89%. Novelty/Improvement: The optimization would help the analysts to design and planning more effective preventive maintenance and repair rate policies.

Keywords

Genetic Algorithm, Maintenance, Markov Modelling, Optimization.
User