Maintenance priorities determination for a repairable unit of a sugar plant (original) (raw)

Availability Analysis of Refining System of a Sugar Plant Using Markov Process

The paper discusses the availability optimization of refining system of sugar plant. It is a repairable and complex system as there are various subsystems involved in it. It includes feeding system, refining system, evaporation system and crystallization system. One of the main parts of a sugar industry is refining system. The refining system includes filter units, clarifier units. Sulphonation units and heating units. If one unit fails, refining system failure takes place. The mathematical modelling using probabilistic approach based on Markov birth-death process is used to analyze the availability. To fulfill this purpose, the first order differential equations are developed. By using normalizing conditions to determine steady state availability, these equations are solved. The result of this paper is useful to analyze the availability and to determine various maintenance strategies in sugar plant.

Continuous-Time Markov Chain Model of Repairable Machine: Application to Asalaya Sugar Factory

This study aims at dealing with continuous time Markov chain model application on the fault time of two machines (Mill troup-Boiler), important machine in Asalaya Sugar Factory in season (January/2019-Decmber/2019), which affiliated to Sudanese Sugar Company.The study conduces that the failure time of machines follows Exponential distribution estimation fault distribution.Failure time represent transition matrix in the Continuous time Markov chain. The probability of the machine in operating state is greater than the probability of the machine in a fail state.The high probability of the machine in operating state and the mean time of a machine stay estimated by 4 hours in state (1) (operating state) meanwhile the machine stay in state (0) (fail state) estimated by one hour which indicates the efficiency of the maintenance unit, it is clear that, the probability of available time to repair machines when it fault approximately (0.80), this indicates that the machines has high availability.

Performance Modeling and Availability Analysis of Cane Juice Extraction System of A Sugar Industry

2016

This paper discusses the performance modeling and availability analysis of Cane Juice Extraction System of Sugar Industry. The Sugar Industry is a complex and repairable engineering system. Cane Juice Extraction System of Sugar Industry consist of five subsystems arranged in series configuration. The failure and repair rates of each subsystems are assumed to be constant. For performance modeling and analysis of availability, a performance evaluating model has been developed with the help of mathematical formulation based on Markov Modeling. The differential equations have been developed on the basis of Probabilistic Approach using a Transition diagram. These equations have further been solved using normalizing condition in order to develop the steady state availability, a performance measure of the system concerned. The effect of repair rate on most vulnerable items of the system is examined to realize the highest level of performance. Increase in availability of system confers many...

PERFORMANCE EVALUATION & AVAILABILITY ANALYSIS OF FEEDING SYSTEM IN A SUGAR INDUSTRY

This paper discusses the performance evaluation and availability analysis of feeding system of a sugar plant. The sugar industry is a complex and repairable engineering system comprises of various units viz. feeding, crushing, evaporation, refining and crystallization etc. One of the most important functionaries of a sugar industry is feeding system. This system consists of four subsystems arranged in series configuration. For the evaluation of performance and analysis of availability, a performance evaluating model has been developed with the help of mathematical formulation based on Markov Birth-Death process using probabilistic approach. The findings of this paper are therefore, considered to be useful for the analysis of availability and determination of best possible maintenance strategies in a sugar industry concerned.

Mathematical Modelling and Availability Optimization of feeding system in a sugar plant

—The paper discusses the availability analysis of feeding system of sugar industry. It comprises of various subsystems so it is a complex and repairable system. It includes feeding system, crushing system, and steam generation, refining system, evaporation system and crystallization. One of the main parts of a sugar industry is feeding system. The supply system of sugar cane comprises of chain conveyor, choppers, chain conveyors and crushing system. If one unit fails, the failure of feeding system takes place. The mathematical formulation based on Markov birth-death process using probabilistic approach will be used to develop a performance evaluation model to analyze the availability. The first order differential equations are developed to serve purpose. The equations are solved by using normalizing conditions to determine steady state availability. The quantitative analysis of courses of actions and states of nature is dealt. This paper's result is useful in analysis of availability and determining maintenance strategies in sugar industry.

Strategic formulation of industrial maintenance based on equipment reliability in a sugar and ethanol production plant

Independent Journal of Management & Production

Maintenance and management have substantial importance in the search of the company’s competitive advantages. In this direction, a reliability analysis of equipments is very important for the definition of the most suitable maintenance strategy. The main goal of this paper is to assess the reliability-centered maintenance of the industrial reliability curve of a sugar cane department of an industry located in São Paulo State, Brazil. The proposed research method was based on the application of existing statistical modeling for the times between failures (TBF) of all reported equipment failures or the interruption times in the production line. These times were modeled by standard lifetime probability distributions as log-normal and Weibull distributions. The results showed that the company's strategy for preventive maintenance during the off-season is not adequate and the statistical analysis also identified important factors that affect the company's maintenance strategy. T...

DEVELOPMENT OF DECISION SUPPORT SYSTEM FOR FEEDING UNIT OF A SUGAR INDUSTRY

This paper deals with the development of decision support system for Feeding unit of a sugar industry using Markov technique and probabilistic approach. The Feeding unit of a sugar industry has four main subsystems arranged in series. Considering exponential distribution for the probable failures and repairs, the mathematical formulation of the problem is done using probabilistic approach and differential equations are developed on the basis of Markov birth-death process. These equations are then solved using normalizing conditions so as to determine the steady-state availability of the Feeding unit of a sugar industry. Decision Support System is then developed to decide about the maintenance priorities among various subsystems of a Feeding unit of the sugar industry concerned.

Improvement of process machinery availability and reliability: A case study of the production line in a sugar processing plant

Process based industry firms, work with high capital investments and large expenses for downtime, availability and reliability. This in turn puts pressure on the maintenance function and causes the need for advanced maintenance technology and practice (Arts et al., 1998; Ketokivi and Jokinen, 2006; Tan and Kramer, 1997). The performance and competitiveness of these industries is dependent on the reliability, availability and productivity of their production facilities and yet many of these companies still struggle to provide applicable and effective maintenance to their production facilities.

Availability and cost analysis of a deteriorating system

Journal of Mathematical and Computational Science, 2013

Availability and profit of an industrial system are becoming an increasingly important issue. Where the availability of a system increases, the related profit will also increase. The objective of this paper is to present the effect of minor and major maintenance rates, and perfect repair rate on system availability and profit generated. We analyzed the system by using Kolmogorov's forward equations method. Results have shown that perfect repair increases system availability and profit generated than minor and major maintenance. Through combine action of minor maintenance, major maintenance and perfect repair action the system availability and profit generated are improved. Models presented in this paper are important to engineers, maintenance managers, and plant management for proper maintenance analysis, decision and for safety of the system as a whole.

Analysis of the Maintenance Strategy Effectiveness Based on the Reliability/Cost Ratio

— This paper is aimed at analyzing the maintenance strategy for the base stations in the cellular network where one maintenance team is responsible for network maintenance and emergency situations elimination. To build a mathematical model, the process of maintenance and repair is presented as a queuing system for which a system of linear differential equations is developed on the basis of the theory of Markov processes. On the basis of the developed module, the solution of the parametric synthesis problem of the maintenance strategy for the base stations in the cellular communication network with the relative maintenance priority is presented.