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Maintenance Planning

Abstract
Maintenance planning involves several levels. The collected data shows model assorts and measurement of parameters to be the only ways of creating the different tools of risk analysis. The maintenance system, therefore, encompasses the use of proper data and strategies to determine and prolong the lifetime of the equipment. In addition to this, the adoption of maintenance planning comes with many benefits such as proper maintenance of the organization and the enhancement of the company relationship. Maintenance planning ensures the organizational decision of deciding in advance the kind of maintenance to be used in the various organizational operating risk. This paper, therefore, sorts to illustrate the two different levels of maintenance planning, namely the model and the parameter.
1. INTRODUCTION
There are some maintenance planning and elements that are being used to date in the industrial environment. Some of these components include the creation of modeling, classified inspection, performance maintenance, and reliability on engineering. Moreover, the others include the model downtime resulting from breakdown repair, the rate of failure, arrival defection, inspection schedule and the inspection. The paper, therefore, seeks to illustrate the use of modeling as a form of maintenance planning. In particular, this paper is a case study of a factory in the United Kingdom that produces carbon black. There are several methods indeed mentioned and explained in detail that are impelling and more or less contribute to the reliability of the equipment.

Examples of these methods include the use of renewal companies and the inadequacy of material implementation and many others.
The use of the value-driven system of maintenance planning enhanced performance and productivity within the industry. The improvement of the productivity of a plant employs the use of various and different methods and techniques. The various ways, therefore, ensure a plant remains competitive in the market. The use of the standard reliability –cantered maintenance to gather history on equipment about data failure and the operational experience is compared with VDMP. The maintenance planning is divided into various aspects basing on an industrial element. They include engineering reliability, failure of equipment, performance maintenance and the creation model for the delay time. Moreover, inspection, defected arrival, repair in the breakdown, inspection, and scheduled inspections are the examples of model downtime. The use of objectivity in maintenance planning, therefore, improves industrial productivity from operations.
2. Explanation of the work presented in journal articles
From the first article is the Bayern network. According to the article, the information collected is used in the network majorly as an applied network. The second article largely centers on the development measurement of a high-level business. This is required by the organization to avoid any form of poor planning. It’s from this article that the keys between strategic and operational objective are defined.
The collection of information through the use of the Bayesian network uses expert and breakdown data history. The support vessel and the shuttle tanker with an influence node are tested on from the case study. The collection of data on Carbon Black Processing tracing is done as explained by the article. It’s from this data that the estimation of probability values of the plant is done. According to the article, the time required to replace the bag, the operator’s knowledge, equipment failure and the operation temperature are the independent variables that affect the established nodes. The “Hugin” software is used to determine the probability of failure on every node tested.
The second article shows an improvement in the measure for each benchmark used for the maintenance of performance and strategic objective. This is done to achieve and obtain an excessive of high – level business essential. Achieving this ensures that poor or weak plan is avoided or the organization can easily run away from it.
2.1 THE USING OF BAYESIAN NETWORK MODELLING FOR MAINTENANCE PLANNING IN A MANUFACTURING INDUSTRY
An understanding of the system because of its uncertainty is needed. There is a bigger degree of uncertainty associated with the model since it utilizes the Bayesian network modeling due to the relationship it has with several variables. This is compounded by the lack of knowledge and its random testing. The probability of no failure in the shuttle tanker and the support vessel is estimated at a 95% confidence level.
There are several advantages of using the Bayesian networking modeling. The advantages include the ability to combine assorted data, the addition of effect nodes to the model and giving the user the ability to model the improbability something which is mostly uncertain. The time delay failure is an example of the rates of failures that is shown by the Bayesian network in maintenance planning. This approach was developed to determine delay time accuracy of the modeling to the limited and narrow rate of failure. Also, there are other factors related to the failure of equipment namely, the age of the equipment, its lifetime and the inspection done.
The carbon process is approached in three units from the studied case. The plant process is measured and then tracing within the system is done from which collection of data is done during which the plant is functioning. Firstly the oil is preheated into the reactor where the product to be filtered is acquired. Palletization of the product with water is then done after which the product is dried and packaged. The case study, therefore, shows all the engineering details beginning from the equipment’s life expectancy, its filters, and dimensions. The calculation is done to determine the cost of failure bag, to establish and find the nodes to establish the product failure.
2.2 VALUE-DRIVEN MAINTENANCE PLANNING FOR A PRODUCTION PLANT
VDMP planning has three phases.
They include:
1] The selection of maintenance strategies and tasks. These are for the equipment’s that are allocated to the equipment locations.
2] The definition of important, strategic and maintenance objectives plant production.
3] The classification of equipment locations. The equipment is classified into maintenance classes like maintenance classes.
The procedural portrayal of the VDMP enhanced parameters namely three. These parameters are key directions that esteem pillars of support. Firstly aligning the relationship upkeep choices investigating the master board. Also, the grouping guidelines that includes gear are used with related data on the classes of support. Thirdly, the dependability focused upkeep that involves the arrangement of assets and supports assignment flowcharts. The upkeep database is used to store all procedure arranging which is connected with the experience critic. The support level includes the following pointers, downtime, the estimation unit, level of framework and some disappointments. The Risk Lattice bolters not all inquiries of hardware operating time.
The isolation of the tree flowchart which acts as a support is rationalized. This is achieved through, location issue, component disappointment undertaking upkeep and through hazard significance. Major contrast in upkeep execution exists like, KPIs that measures the past and anticipate executions shortly. Similarly are the measures of key significance. These are presumed to be basic in a given business condition. KPIS and MPIs are supervised and assessed by a combination of objectives with the organizational directions.
A few stages are involved in the preparation framework. These stages are the dispatching outlines which act as fuel responsible for exchange to gasification framework. This is the point where the items three lines overcome the procedures like heater and kettle together with the material taking care of. Lastly is the burning gas framework.
2.3 RELATIONSHIP OF SELECT ARTICLES
Both the articles are for maintenance planning but with different parameters and case studies. They have common factors like the delay time in the performance maintenance but the two measure them in different tools. Both involve the interpretation of knowledge and learn from the failures of mechanisms and maintenance effects.
3. DISCUSSION OF CONTRIBUTIONS
3.1 CONTRIBUTIONS OF ARTICLE I
Because of the inspection and breakdown repair, the first article is more about the measurement of the middling downtime. The Bayesian network modeling is used to calculate the rate of failure. The parameter failure rate method are an accurate measure of failure. From this, then the interval of inspection related to the case study is diminished.
3.2 CONTRIBUTIONS OF ARTICLE II
In the second article, continued improvement is achieved through strategic, important and maintenance objective. Similarly, the equipment failure regarding function ability is determined through a process of mapping by assigning all equipment location maintenance classes with the statistical performance indicator. These are coupled with risk matrix for evaluation. The gasification plant in Finland through the Value Tree evolvement shows efficiency in productivity in consideration with safety failure as an indicator of the main development way.
DISCUSSION OF DEFICIENCY AND POTENTIAL IMPROVEMENTS
4.1 DEFICIENCIES ARTICLE I
The article entailed the use BN tool and a parallel statistical method which resulted in determining failure rate more accurately and node maintenance planning. The first article had to achieve the following elements that include:
1- The analysis data failure should be enhanced Bayesian network modeling nodes
2- The probability for explaining rate of failure at different situations should be determined.
3- A cycle graph should be determined and calculated regarding the average failure.
4.2 DEFICIENCIES OF ARTICLE II
Bayesian Network modeling provides a precise measurement that in the reduction of inspection cost and decreases the downtime. The second article, therefore, should perform some elements as:
1- Using Bayesian Network as a tool for assessing risk among the other statistical methods.
2- There should be task participation with reliability engineering and warehousing so as to avoid delivery delays.
3- Liaising with the operations and the engineering departments so as to enhance maintenance.
Summary
The first article is designed to prevent delay time and examined so as to ensure the reduction in inspection costs by analysis subjectively depended on some tests of failure devices.
The second article shows how process mapping and the implementation of managerial methods is carried out. The article benefited from logic tree utilization in its explanation of maintenance tasks. The bag filter lifetime is determined by the logic tree.