Development of Advance Maintenance Planning and Resource Allocation System for Industrial Process

Abstract

Continuous progression in technology leads to the complexity of industrial systems, hence making it more expensive to execute the system operations and maintenance. Thus, more attention is required to diminish the cost involved in production, operation and maintenance of the repairable systems. The thesis work is mainly focused on process modification, maintenance planning and resource allocation in a paper plant. Functioning of various operating systems and subsystems of the paper plant are explained with the help of schematic flow diagram. The steady state availability for various operating systems have been developed with the help of mathematical formulation based on Markov birth-death process using probabilistic approach to do the performance analysis of various operating systems of the paper plant in terms of the availability matrices which are based upon failure rate and repair rate. With the help of these availability matrices critical subsystems are identified. For evaluating the maintenance criticality of failure causes a new methodology based on cloud model and PROMETHEE II (Preference Ranking Organization Method for Enrichment of Evaluations) is proposed which will help the plant personnel to plan suitable maintenance strategies accordingly. In the end, Resource allocation for each stage has been carried out using dynamic programming method to solve the multistage decision problem. Allocation of resources for each operating system of the paper plant has been worked out. Economic production charts are drawn to determine no loss/ no profit point beyond which the system should run to generate profit. Profit analysis for the plant has been carried out. newline