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ดาวน์โหลด All Proceeding - AS Nida ดาวน์โหลด All Proceeding - AS Nida

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Threshold required to measure the effectiveness of control. Process The researchers assigned the following criteria to measure. Section 1. Control level at 100%, so the cause of the problem to repair, rework on the back of the figure is 0%. Section 2. Control level at the cause of water-color fabrics and no control in the manufacturing process. Rework the problem is the level of the average amount was 4.40% (calculated as a percentage of the problems caused by the repair process to the highest rank). Table 5 The Dyeing process result Figure 3 The relationship between Expectations for the improvement and maintenance of the current report in the manufacturing process. The R 2 indicated that the predictors that explain R-Sq 79.53% of the variance in the Actual value of R 2 in the form of correlation, so the two values shows the relationship of the two data sets were based on the equation. y = 0.9863x + 0.0242. 4. Results The improvements in the sample process by control the priorities of factors that affect the quality problems are as follows: 1. Segmentation of fabric dye that reacts with chemicals to dye Auxiliary (Dispersing Agent) ratio is the percentage of each color in water color. 238 2. Training / performing standards manual (Standard Operating Procedure: SOP). 3. The percentage of yarn to match the colors used in the dyeing process, dyeing Process.4. Sort of dye and the head position of responsibility. 5. The amount of chemical and dye Auxiliary (leveling) with the weight of the fabric. (For each shade of dye) Results were the percentage of mended fabrics of the factory was reduced from 7.49% to 4.76%, (target 5%). The improvement of the process was decreased waste from 11,440 kilograms to 77,160 kilograms, saving approximately 915,200 baht. Moreover, the percentage of quality improved up to 95%, and achieved target. 5. Reference [1] Anand Pilly and Jin Wang. Modified failure mode and effect analysis using approximate reasoning. Journal of Reliability Engineering & System Safety. no 79 (2003): 69-85. [2] Antonio Scipioni, et al. FMEA methodology design, implementation and integration with HACCP system in food company.Journal of food control. no 13 (2002): 495-50 [3] Bulent Baran, et al. The Effect of boron containing frits on the anorthite formation temperature in kaolin-wollastonite mixture. Journal of the European Ceramic Society. no 23 (2003): 2061-2066. [4] E. W. T. Ngai and E. W. C. Chan. Evaluation of knowledge management tools using AHP.Journal of Expert systems with Applications. no 29 (2005): 889-899. [5] K. S. Chin, et al. An AHP base study of Critical factor for TQM implementation in Shanghai manufacturing industries.” Journal of technovation. no 22 (2002): 707-715 [6] Thomas Satty, T. L. The Analytic Hierarchy Process. New York: McGraw-Hill, 1980.

239 การประชุมวิชาการดานการวิจัยดําเนินงานแหงชาติ ประจําป 2554 วันที่ 8-9 กันยายน 2554 ณ โรงแรม เอส ดี อเวนิว กรุงเทพฯ Applications of Reliability Centered Maintenance for Reducing Downtime in a Paper Plant Prachuab Klomjit 1 and Pichet Kaewsaithom 2 1, 2 Department of Industrial Engineering and Management, Faculty of Engineering and Industrial Technology, Silpakorn University, Muang, Nakorn Phathom 73000 Telephone/Fax: 034-219-362, E-mail: 1 prachuab@su.ac.th, 2 pichetkaew@hotmail.com Abstract The objectives of this study are to reduce downtime that cause from machine breakdown during operation and to select the preventive maintenance task categories based on the Reliability Centered Maintenance (RCM) for the machine components. The study starts from identify the critical machine or equipment that impact to the paper production and then analyze the root cause & failure analysis by using Failure Mode and Effect Analysis (FMEA). The next step is to simulate the failure patterns of component parts which are used statistics data in order to forecast the suitable reliability parameters. The final phase is to select the preventive maintenance task which is meeting the reliability parameter of each failure mode. The result of this study has shown that the downtime is decreasing per machine downtime rate at 5.68% for machine MC1, 10.04% for MC2 and MC3 is 4.94%. Moreover the machine availability has been increased, machine MC1 increased 80.20%, MC2 increased 80.02% and MC3 increased 81.00% accordingly. Keywords: Reliability Centered Maintenance, Failure Mode and Effect Analysis, Paper production. 1. Introduction As many modern maintenance practices, the reliability centered maintenance (RCM) concept originated within the aircraft industry. RCM has now been applied with considerable success for more than 20 years; first within the aircraft industry, and later within the military forces, the nuclear power industry, the offshore oil and gas industry, and many other industries. Experiences from these industries show significant reductions in preventive maintenance (PM) costs while maintaining, or even improving, the availability of the systems. The main objective of RCM is to reduce the maintenance cost, by focusing on the most important functions of the system, and avoiding or removing maintenance actions that are not strictly necessary. If a maintenance program already exists, the result of an RCM analysis will often be to eliminate inefficient PM tasks [1]. This paper illustrated the operation of paper plant a poor maintenance tasks and high rate of machine downtime. These problems root from: 1. Machine has been serviced for a long time with ineffectively maintenance. 2. Operator; due to high rate of turn over the new person has no experience to operate the machine. 3. Ineffective management; lack of maintenance standard and work instruction that is machine manual, maintenance guide etc. In addition, it may come from the lack of understanding importance maintenance and there is no data as a reference. From above reasons lead to machine maintenance unreliability. Applications of RCM such monitoring, assess, predict and understand the working of the machine can be helped to reduce machine breakdown and improve the maintenance plan. More importantly it will define the appropriate maintenance for each machine such as preventive Maintenance for machine that have constant failure rate and Predictive Maintenance or Condition Based Monitoring for machine that critical process [2]. 2. Objectives of this study 2.1 To reduce the production downtime from machine breakdown. 2.2 To define the appropriate maintenance task based on RCM to the machine parts per their function and operation for paper plant. 3. Reliability Centered Maintenance (RCM) approach RCM is a structured methodology for determining the maintenance requirement of a physical asset in its operating context. The asset can be part of a larger system. The primary objective of RCM

239<br />

การประชุมวิชาการดานการวิจัยดําเนินงานแหงชาติ ประจําป 2554<br />

วันที่<br />

8-9 กันยายน 2554 ณ โรงแรม เอส ดี อเวนิว กรุงเทพฯ<br />

Applications of Reliability Centered Maintenance for Reducing Downtime in a Paper Plant<br />

Prachuab Klomjit 1 and Pichet Kaewsaithom 2<br />

1, 2<br />

Department of Industrial Engineering and Management, Faculty of Engineering and Industrial Technology,<br />

Silpakorn University, Muang, Nakorn Phathom 73000<br />

Telephone/Fax: 034-219-362, E-mail: 1 prachuab@su.ac.th, 2 pichetkaew@hotmail.com<br />

Abstract<br />

The objectives of this study are to reduce downtime that<br />

cause from machine breakdown during operation and to select the<br />

preventive maintenance task categories based on the Reliability<br />

Centered Maintenance (RCM) for the machine components. The study<br />

starts from identify the critical machine or equipment that impact to the<br />

paper production and then analyze the root cause & failure analysis by<br />

using Failure Mode and Effect Analysis (FMEA). The next step is to<br />

simulate the failure patterns of component parts which are used<br />

statistics data in order to forecast the suitable reliability parameters. The<br />

final phase is to select the preventive maintenance task which is<br />

meeting the reliability parameter of each failure mode. The result of this<br />

study has shown that the downtime is decreasing per machine downtime<br />

rate at 5.68% for machine MC1, 10.04% for MC2 and MC3 is 4.94%.<br />

Moreover the machine availability has been increased, machine MC1<br />

increased 80.20%, MC2 increased 80.02% and MC3 increased 81.00%<br />

accordingly.<br />

Keywords: Reliability Centered Maintenance, Failure Mode and Effect<br />

Analysis, Paper production.<br />

1. Introduction<br />

As many modern maintenance practices, the reliability<br />

centered maintenance (RCM) concept originated within the aircraft<br />

industry. RCM has now been applied with considerable success for<br />

more than 20 years; first within the aircraft industry, and later<br />

within the military forces, the nuclear power industry, the offshore<br />

oil and gas industry, and many other industries. Experiences from<br />

these industries show significant reductions in preventive<br />

maintenance (PM) costs while maintaining, or even improving, the<br />

availability of the systems.<br />

The main objective of RCM is to reduce the maintenance<br />

cost, by focusing on the most important functions of the system, and<br />

avoiding or removing maintenance actions that are not strictly<br />

necessary. If a maintenance program already exists, the result of an<br />

RCM analysis will often be to eliminate inefficient PM tasks [1].<br />

This paper illustrated the operation of paper plant a poor<br />

maintenance tasks and high rate of machine downtime. These problems<br />

root from:<br />

1. Machine has been serviced for a long time with<br />

ineffectively maintenance.<br />

2. Operator; due to high rate of turn over the new person has<br />

no experience to operate the machine.<br />

3. Ineffective management; lack of maintenance standard<br />

and work instruction that is machine manual, maintenance guide etc.<br />

In addition, it may come from the lack of understanding<br />

importance maintenance and there is no data as a reference. From above<br />

reasons lead to machine maintenance unreliability.<br />

Applications of RCM such monitoring, assess, predict and<br />

understand the working of the machine can be helped to reduce machine<br />

breakdown and improve the maintenance plan. More importantly it will<br />

define the appropriate maintenance for each machine such as preventive<br />

Maintenance for machine that have constant failure rate and Predictive<br />

Maintenance or Condition Based Monitoring for machine that critical<br />

process [2].<br />

2. Objectives of this study<br />

2.1 To reduce the production downtime from machine<br />

breakdown.<br />

2.2 To define the appropriate maintenance task based on<br />

RCM to the machine parts per their function and operation for paper<br />

plant.<br />

3. Reliability Centered Maintenance (RCM) approach<br />

RCM is a structured methodology for determining the<br />

maintenance requirement of a physical asset in its operating context.<br />

The asset can be part of a larger system. The primary objective of RCM

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