Maintenance Planning Based On Computer-Aided Preventive Maintenance Policy

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Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II,IMECS 2012, March 14 - 16, 2012, Hong KongMaintenance Planning Based on Computer-AidedPreventive Maintenance PolicyIslam H. AfefyAbstract-In the present work, maintenance planning based oncomputer-aided preventive maintenance policy are introduced.The focus of this paper is on preventive maintenance activities.Preventive maintenance involves the repair, replacement, andmaintenance of equipment in order to avoid unexpected failureduring use. The aim of this study is to build the preventivemaintenance program and is to improve system availability andmaintenance resources. The preventive maintenance programresults indicate that the availability and reliability haveincreased for three specifications M/C under investigation. Forfirst Longitudinal Seaming machine, the result shows that themachine availability increases from 75.6 % to 90.34 %. While,machine reliability improves around 3.97 % for the proposedpreventive maintenance. In case of second LongitudinalSeaming machine, as global results, about 14.4% and 4.31% ofthe machine availability and reliability are increased for theproposed preventive maintenance, respectively. In addition, theRotary machine availability improves from 86.287 to 92.21 %and the machine reliability improves from 3.95% for theproposed preventive maintenance. Moreover, obtained resultsshowed that using such preventive maintenance program willeliminate the six big losses; time losses, setup and adjustmentlosses, idling and minor stoppages losses, lowering machineoperational speed losses, scrap & rework losses and productionstart up losses.Index y,PI. INTRODUCTIONreventive maintenance (PM) is a schedule of plannedMaintenance actions aimed at the prevention ofbreakdowns and failures. The primary goal of preventivemaintenance is to prevent the failure of equipment before itactually occurs. It is designed to preserve and enhanceequipment reliability by replacing worn components beforethey actually fail. Preventive maintenance activities includeequipment checks, partial or complete overhauls at specifiedperiods, oil changes, lubrication and so on. Optimalmaintenance strategies for systems with partial repair optionsand without assuming bounded costs are introduced by PeterBruns [1].The PM is an important policy of a maintenanceplanning. Within a maintenance organization, it usuallyaccounts for a major proportion of the total maintenanceeffort. There are seven elements of the PM as shown in Fig.1[2]. Optimal maintenance scheduling of power producersconsidering unexpected unit failure is proposed to minimizethe risk associated with unit unexpected failure [3].Scheduled maintenance or maintenance performed basedI. H. Afefy is with the Industrial Engineering Department - Faculty ofEngineering- Fayoum University-Egypt (e-mail: Islamhelaly@yahoo.com,iha01@fayoum.edu.eg)ISBN: 978-988-19251-9-0ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)on the condition of an item conducted to ensure safety,reduce the likelihood of operational failures, and obtain asmuch useful life as possible from an item. The PM consistsof actions intended to prolong the operational life of theequipment and keep the product safe to operate. This manualdefines two types of the PM: Scheduled and Condition-based.In both cases, the objectives of the PM are to ensure safety,reduce the likelihood of operational failures, and obtain asmuch useful life as possible from an item [4], lementsof PMCalibrationInstallationFig. 1. Elements of the PM.Also, the PM will result in savings due to an increase ofeffective system service life. Long-term benefits of the PMinclude: Decreased system downtime (MDT). Decrease failure rate (λ). Improved system reliability (R). Improved system availability (A). Decreased cost of replacement. Better spare parts inventory management. Improve maintenance resources.Yang [6] studied a condition-based preventive maintenancearrangement for thermal power plants". Also, a hybrid Petrinet modeling method coupled with fault-tree analysis (FTA)are used. The PM, reliability centered maintenance (RCM)and total productive maintenance (TPM) to maintenanceproblems all aim at enhancing the effectiveness of machinesto improve the maintenance productivity(see Ashayeri [7] ).A model for preventive maintenance planning by geneticalgorithms based in cost and reliability (see Lapa et al [8]).Badia and Berrade [9] have discussed the optimalmaintenance policy of a periodically inspected system underimperfect repair. Sayed et al [10] studied computer aidedreliability for optimum maintenance planning. Theoptimized preventive maintenance plan was obtainedIMECS 2012

Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II,IMECS 2012, March 14 - 16, 2012, Hong Kongthrough the computer program at minimum cost bydetermining maintenance intervals. The PM policyoptimization for multipurpose plant equipment is introducedby Dedopoulos and Shah [11]. Amir et al, [12] used fuzzyrules as an artificial intelligence (AI) tool used to determinepriority of activities.In this paper, a computer-aided preventive maintenanceplanning (CAPMP) will proposed. Mathematical model willused to calculate maintenance labor force, maintenancedowntime, maintenance resource, reliability and availabilitywithin this context. In the final section, applicability of thePM policy is examined on the practical case for threespecifications M/C.II. PREVENTIVE MAINTENANCE ANALYSISPreventive maintenance will generally run the equipmentmore efficiently resulting in maintenance cost savings. Whilewe will not prevent equipment catastrophic failures, we willdecrease the number of failures. Minimizing failurestranslate into maintenance. Preventive maintenance is aschedule of planned maintenance actions aimed at theprevention of breakdowns and failures, since the primaryobjective of preventive maintenance is to prevent the failureof equipment before it actually occurs. Preventivemaintenance parameters are:1. Maintenance labor force.2. Maintenance downtime.3. Maintenance spare parts.4. Total maintenance cost.5. Maintenance Tasks.6. Maintenance W/O.A. Modelling of the PM labor force.In the model, a specific formula is present to define thesize of preventive maintenance labor force (LPM) as:LPM mdannual / LOC(1)Where, mdannual is the total preventive maintenance annualman-day, and LOC is the workers operating conditions(day/year).The total preventive maintenance annual man-day can becalculated as:mdannual f annual * Tdu * Lnumber(2)Where, f annual is the annual frequency per preventivemaintenance type, Tdu is the duration time, and Lnumber is thenumber of workers per preventive maintenance type.B. Modelling of availability (A)Availability is a measure of the degree to which an item isin an operable state and can be committed at the start of amission when the mission is called for at an unknown pointin time [13]. The relationship between the concepts ofavailability from mean time between failure (MTBF), meandowntime (MDT), Mean response time (MST)) and meantime to maintenance (MTTM) are presented in Fig. 2. Themachines are reliable when their MTBF are higher. Ascontrast, the lower is better for MDT.Nf * (MTBF)A (3)Nf * (MTBF MDT)ISBN: 978-988-19251-9-0ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)MDT MST MTTM(4)AT - Nf * MDTMTBF Failure Rate (λ) (5)NfNf(6)AT - Nf * MDTWhere, Nf is the number of failure and AT is the availabletime.Available time for production(AT)MDTMTBFMSTMTTMDownUPUPFig. 2. The relationship between A, MTBF, MDT, MST and MTTM.C. Modelling of reliabilityReliability is the probability of survival under a givenoperating environment. For example, the time betweenconsecutive failures of a refrigerator where continuousworking is required is a measure of its reliability [13], [14].R (t) exp (-t/MTBF) exp (- t)(7)Where, is the constant failure rate and MTBF is the meantime between failures. MTBF measures the time betweensystem failures and is easier to understand than a probabilitynumber. For exponentially distributed failure modes, MTBFis a basic figure-of-merit for reliability (failure rate, , is thereciprocal of MTBF).D. Modelling of the total maintenance costMaintenance cost (Cm) can be calculated by the followequation:Cm CSp DT*Cv(8)Where, CSp is the spare parts cost, DT is the down time, andCv is the variable cost per hour of down time, its includelabor rate and crew size.The production losses cost (Cp) is estimated using thefollowing formula:Cp DT* PLos *SPrice(9)Where, PLos is the production loss in unit per hour, andSPrice is the unit selling price of the product.III. PM SOFTWARE OVERVIEWThe goal of the software program was to establish generalmachines preventive maintenance program that wouldmachine minimize downtime (DT) and improvementmachine availability. It is a multi-plate form (visual basicIMECS 2012

Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II,IMECS 2012, March 14 - 16, 2012, Hong Konglanguage) oriented object program, compatible withwindows.As in Fig. 3, maintenance program data flow from the inputphase and output phase are introduced. The PM for thebuilding program after the data collected from the plant, nowthe time to build a program according to this data byextracting it and making analysis for it.Inputs- Machinecode- - -Failures--MTTR- -Downtimes- -MaintenanceresourcesTools- MathematicalModeling.- PMprogramOutputs- PM laborsize- PM schedule- Maintenancecost- Availability- ReliabilityFig. 4. Main page and maintenance (W/O) of the PM program.System reliability and availability forms are introduced inFig. 5. The Figure shows availability and reliability forms forthe system and it has the ability of adding, removing andsaving for any data related to system.Fig. 3. Maintenance data flow from the input phase to the output phase.The main page (see Fig. 4) of the program is consideredthe main engine to move to all parts of program because ithas the buttons that go to the all forms of program, alsobutton to quit the program and button to show form ofprogram designer.A. Software functionsConceptually, the functions to be performed are asfollowing:1. Maintenance labor size force.2. Spare parts cost.3. Availability.4. Reliability.5. Maintenance resource analysis.6. The maintenance work order (W/O).7. Total maintenance cost.As in Fig. 4, the W/O form is presented. The figureshows the maintenance W/O forms of the plant and by it isavailable to add, delete and save of the W/O number by themain task bar.Fig. 5. System reliability and availability forms of the PM program.V. CASE STUDYThe present research has been applied for AutomotiveExhaust Systems of the Abu El -Yazeed Group, Egypt. Themain product for company is the Exhaust systems. The maincomponents of the muffler are introduced in Figure 6. Thedesign capacity of the Muffler assembly is about 400 perhour. The different stages to form the muffler and our studywill be on the linear seaming machine in muffler assemblyshop are presented in Fig. 7.A. Problem statementIn Egyptian manufacturer of Automotive ExhaustSystems, the current policy in this company is the correctivemaintenance policy (CM). The production loss(muffler/hour) of the process is caused mainly by thestoppage of the company production line. Thus, theISBN: 978-988-19251-9-0ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)IMECS 2012

Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II,IMECS 2012, March 14 - 16, 2012, Hong Kongproduction loss costs are usually concentrated on the randombreakdown events for Longitudinal Seaming and Rotarymachines. So, the application of (CAPMP) is applied toobtain the optimum preventive maintenance interval.BCAB. Data collectionThe data collections of the item for the LongitudinalSeaming machines have been collected. The data have beencollated from the following sources:- Maintenance records.- Operation logbooks.- Labor working with or maintaining.C. ResultsThe PM schedules and maintenance tasks for machinesare presented in Table I. This table shows yearly, six monthlyand three monthly maintenance tasks.DFETABLE IPM schedules for machines.Fig. 6. Muffler components.YearlymaintenancetasksReplacement ofoil seal.Replacement oforifice.Change oil trunk.Fig. 7. The Longitudinal Seaming machine.Production LineRaw material stock (Sheets & Pipes)Sheet metal cutting(cylindrical)Piping cuttingShear of chamferAssembly the internalassembleLogo printSix monthlymaintenancetasksThree monthlymaintenancetasksReplacement ofcouplingFilter cleaningMotor bearinggreasing.Pump vibrationanalysis (900RH).Cleaning theelectrical circuitby dry air.Bearingreplacement.Change thehydraulic oilMotor vibrationCurrent analysisafter 5000 workanalysis.hour.Appling the sixAppling themonthlyOil analysis.weeklymaintenance.maintenance.In Table II, main downtime and current availability forLongitudinal seaming and rotating machines are presented.Also, main downtime and proposed availability forLongitudinal Seaming and Rotating machines are shown inTable III.Assembly of muffler bodyTABLE IIResults of availability (AC) analysis for Longitudinal Seaming and Rotatingmachines for the corrective maintenance (current policy).Assembly of muffler bodyItemLateral seamingAssembly of body with piping and ngitudinalSeamingmachine 2Rotary machineMachineNfMDTCode(Failure 172.11586.28775.6Longitudinal seamingPaintingFinal productionstorageFig. 8. Company production line.ISBN: 978-988-19251-9-0ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)As in Fig. 9, the availability analysis for LongitudinalSeaming and Rotating machines is introduced. This figureshows that Longitudinal Seaming machine1 availabilityincreases from 75.6 % to 90.34 %. Also, it is found thatLongitudinal Seaming machine 2 availability increases from74.24% to 88.64% for the proposed preventive maintenance.On other hand, the rotary machine availability improvesfrom 86.287% to 92.21% for the proposed preventivemaintenance.IMECS 2012

Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II,IMECS 2012, March 14 - 16, 2012, Hong KongTABLE IIIResults of availability (Ap) analysis for Longitudinal Seaming and Rotatingmachines for the preventive maintenance (proposed ngmachine1LongitudinalSeamingmachine 2RotarymachineNfMDT(Failure (Day)/year)208201208202M05BTABLE VResults of reliability analysis for Longitudinal Seaming and Rotating machinesfor the preventive maintenance (proposed ineNfAverage P R(t)Code (Failure MTBF (Failure %/year) (day)/day)Longitudinal 208201Seaming926.5 0.03775 96.3machine1Longitudinal 208202Seaming829.25 0.0349 96.57machine 2RotaryM05B830.43 0.03287 96.77machineMachineNameFig.Fig. 9. The availability analysis for longitudinal seaming and rotarymachines.10.In Table IV, the MTBF and failure rate for Longitudinalseaming and rotating machines for current policy are listed.Also, main downtime and proposed reliability forLongitudinal Seaming and Rotating machines are presentedin Table V.As in Fig. 10, the reliability analysis for LongitudinalSeaming and Rotating machines is presented. It is found thatfirst Longitudinal Seaming machine reliability increasesfrom 92.33% to 96.3 % for the proposed PM and it is foundthat second Longitudinal Seaming machine reliabilityincreases from 92.26% to 96.57 % for the proposed PM andRotating machine reliability improves from 92.82% to96.77%.Fig. 10. The reliability analysis for the Longitudinal seaming and Rotarymachines.The annual downtime cost for machines is introduced in Fig.11. The results show that the annual downtime cost for firstLongitudinal Seaming machine decreases from 305*10 6LEto 123*106LE for proposed the PM. On the other hand, theannual downtime cost for second Longitudinal Seamingmachine decreases 326*106LE as compared to 144*106LEfor proposed the PM. Moreover, about 42.8 % of the annualdowntime cost for rotary machine is saved when proposedthe PM other corrective maintenance onceTABLE IVResults of reliability analysis for Longitudinal Seaming and Rotating machinesfor the corrective maintenance (current policy).Item nalSeamingmachine 2RotarymachineMachineNfAverageR(t) CCode (Failure MTBF (Failure %/year) (day)/day)2082011612.525 0.07984 92.332082021612.250.08163 92.26M05B1713.40.07455 92.82ISBN: 978-988-19251-9-0ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)Fig. 11 . Annual downtime cost for Longitudinal Seaming and RotarymachinesIMECS 2012

Proceedings of the International MultiConference of Engineers and Computer Scientists 2012 Vol II,IMECS 2012, March 14 - 16, 2012, Hong KongVI. CONCLUSIONThis paper described a preventive maintenance programtool which was designed to calculate the size of maintenancelabor force, spare parts cost, total maintenance cost, numberof work order, reliability, and availability). By applying theproposed preventive maintenance program, it is possible tofind preventive maintenance policies which provide a highlevel of availability and reliability for all machines (Figures 9and 10). The improvement in availability and reliability forindicates the explicit benefit of the PM policy.ACKNOWLEDGMENTThe author wishes to express his thanks to themaintenance management of the Abu El -Yazeed GroupEgypt, for their support during carrying out this work.REFERENCES[1] B. Peter, "Optimal Maintenance Strategies for Systems Partial RepairOptions and Without Assuming Bounded Costs", European Journal ofOperation Research, Vol. 139, pp. 146-165, 2002.[2] B. W. Nieble, "Engineering Maintenance Management" Marcel Dekker,New York, 1994.[3] C. Freng and F. Li, "Optimal Maintenance Scheduling of Power ProducersConsidering Unexpected Unit Failure" Journal of IET Generation,Transmission & Distribution, Vol. 3, pp. 460-471, 2009.[4] S. Sukhwinder and S. Wadhwa, "Reliability, Availability andMaintainability Study of High Precision Special Purpose ManufacturingMachines", Journal of Scientific &Industrial Research, Vol. 63, pp. 512517, 2004.[5] A. Sachdeva, D. Kumar and P. Kumar," Planning and optimizing themaintenance of paper production systems in a paper plant ", Journal ofcomputers & Industrial Engineering, Vol. 55, pp. 817-829, 2008.[6] S. K. Yang, "A Conditions-Based Preventive Maintenance Arrangement forThermal Power Plants" Journal of Electric Power Research, Vol. 72, pp.49-62, 2004.[7] J. Ashayeri, " Development of Computer-Aided Maintenance ResourcesPlanning: A Case of Multiple CNC Machining Centers", Journal ofRobotics and Computer- Integrated Manufacturing, Vol. 23, pp. 614-623.2007.[8] C. M. Lapa, C. M. Pereire and M. P. de Barros, "A Model for PreventiveMaintenance Planning by Genetic Algorithms Based in Cost andReliability", Journal of Reliability Engineering & System Safety, Vol. 91,pp. 233-240, 2006.[9] F. G. Badia and M. D. Berrade, " Optimal Maintenance Policy of aPeriodically Inspected System under Imperfect Repair" Journal ofAdvanced in Operation Research, Vol. 69, pp1-9, 2009.[10] S. M. Metwalli, M. S. Salama and R.A. Taber," Computer AidedReliability for Optimum Maintenance Planning" Journal of Computer ind.Engng, Vol. 35, pp 603-606, 1998.[11] Dedopoulos I. T and Shah N.," Preventive Maintenance PolicyOptimization for Multipurpose Plant Equipment" Journal of ComputerChem. Engng, Vol. 35, pp s693-698, 1995.[12] A. Khanlari, K. Mohammadi and B. Sohrabi," Prioritizing equipments forpreventive maintenance (PM) activities using fuzzy rules" of computers &Industrial Engineering,Vol. 54, pp. 169-184, 2008.[13] M. Rausand, "Reliability-Centered Maintenance", Reliability Engineeringand System Safety, Vol. 60, pp.121-132, (1998).[14] S. K. Anil and N. Suresh, "Production and Operations Management" NewAGE International Publishers, Second Edition, 2008.ISBN: 978-988-19251-9-0ISSN: 2078-0958 (Print); ISSN: 2078-0966 (Online)IMECS 2012

In this paper, a computer-aided preventive maintenance planning (CAPMP) will proposed. Mathematical model will used to calculate maintenance labor force, maintenance downtime, maintenance resource, reliability and availability within this context. In the final section, applicability of the PM policy is examined on the practical case for three

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