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IJSTR >> Volume 10 - Issue 8, August 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Risk Analysis To Determine Schedules And Reduce Maintenance Costs In Elevators With Fmea, Qfd, And Markov Chain Methods

[Full Text]

 

AUTHOR(S)

Bambang Priambodo, Ellysa Nursanti, Dimas Indra Laksmana

 

KEYWORDS

FMEA, Markov, Maintenance, Maintenance Scheduling, QFD, Risk

 

ABSTRACT

PT. Balistha Gapala Nandya is a service company engaged in the procurement and maintenance of elevators (travelators), escalators, elevators. The company is the only authorized distributor in Indonesia that has been certified by The Fuji HD Elevator Sino Japan Joint Venture. PT. Balistha Gapala Nandya is a service company engaged in elevators (elevators) both procurement and maintenance and has a maximum cost (maintenance) limit of IDR 50,000,000 for 1 elevator unit. Based on actual conditions in the field of PT. Balistha Gapala Nandya implements corrective maintenance. The maintenance issued by the company is IDR 64,990,000, which means it has passed the maximum limit of the company's maintenance costs. The purpose of this research is to reduce the risk value in the elevator, get a maintenance schedule that can reduce the risk of damage and reduce / save maintenance costs. Data collection is done by obtaining primary data, namely the number of machines categorized according to the condition of the damage and secondary data, namely written data on elevator maintenance in 2019. The methods used in this study are the FMEA, QFD and Markov Chain methods. The results of the research get the proposed P3 maintenance scheduling (preventive on minor and moderate damage, corrective for heavy damage) as routine maintenance every month with a cost savings of 41%.

 

REFERENCES

[1] E. Nursanti, R. M. S. Avief, Sibut, and M. Kertaningtyas, Maintenance Capacity Planning Efisiensi & produktivitas. Malang: CV. Dream Litera Buana, 2019.
[2] S. Hadi, D. Gustopo, and D. Indra, “Predictive Maintenance Analysis Overhead Crane Machine in PT Bromo Steel Indonesia,” in Journal of Physics: Conference Series, 2020, vol. 1569, no. 2, pp. 0–7, doi: 10.1088/1742-6596/1569/2/022093.
[3] E. Nursanti, “Hybrid Minimal Repair for Maximizing Availability of a Serial Continuous Production System,” in International Conference on Mechanical Engneering, Automation and Control Systems, 2014, pp. 6–9.
[4] E. Nursanti, A. Ma, T. Simatupang, and B. Iskandar, “Cost and Availability Functions Using Imperfect Maintenance Policy for A Serial System,” pp. 386–391, 2012.
[5] E. Nursanti, R. M. S. Avief, Sibut, and M. Kertaningtyas, “Parallel Series Scheduling for Aircraft Overhaul Maintenance,” in International Conference of Organizational Innovation (ICOI 2019), 2019, vol. 100, pp. 640–644.
[6] E. Nursanti, S. Avief, and F. Handoko, “Overhaul Maintenance Scheduling Optimization of Indonesian Air Force Hawk MK-209 Aircraft Using CPM/PERT,” Int. J. Ind. Syst. Eng., vol. X, 2017.
[7] D. T. Septiani, E. Nursanti, and H. Galuh, “Analisa Peningkatan Produktifitas Dengan Menggunakan Metode TPM Berdasarkan Nilai OEE Dan Losses Mesin Di Advertising Ozy Bisa,” vol. 3, no. 2, pp. 41–45, 2020.
[8] A. Sutrisno, I. Gunawan, and S. Tangkuman, “Modified Failure Mode and Effect Analysis (FMEA) Model for Accessing the Risk of Maintenance Waste,” Procedia Manuf., vol. 4, pp. 23–29, 2015, doi: 10.1016/j.promfg.2015.11.010.
[9] T. M. El-dogdog, A. M. El-assal, I. H. Abdel-aziz, and A. A. El-betar, “Implementation of FMECA and Fishbone Techniques in Reliability Centred Maintenance Planning,” vol. 5, no. 11, pp. 18801–18811, 2016, doi: 10.15680/IJIRSET.2016.0511001.
[10] C. S. Carlson, Understanding and Applying the Fundamentals of FMEAs. 2014.
[11] J. Doshi and D. Desai, “Application of failure mode & effect analysis (FMEA) for continuous quality improvement - multiple case studies in automobile SMEs,” Int. J. Qual. Res., vol. 11, no. 2, pp. 345–360, 2017, doi: 10.18421/IJQR11.02-07.
[12] A. Pandey, M. Singh, A. U. Sonawane, and P. S. Rawat, “FMEA Based Risk Assessment of Component Failure Modes in Industrial Radiography,” Int. J. Eng. Trends Technol., vol. 39, no. 4, pp. 216–225, 2016, doi: 10.14445/22315381/ijett-v39p237.
[13] R. Kumar and R. K. Mondloi, “Failure Mode and Effect Analysis of Petrol Engine of Car,” Int. J. Sci. Res., vol. 7, no. 6, pp. 180–183, 2018, doi: 10.21275/ART20182731.
[14] W. Rizlan, H. H. Purba, and S. Sudiyono, “Performance Maintenance Analysis Using QFD Method: A Case Study in Fabrication Company in Indonesia,” ComTech Comput. Math. Eng. Appl., vol. 9, no. 1, pp. 25–35, 2018, doi: 10.21512/comtech.v9i1.4456.
[15] M. Moradi and S. Raissi, “A Quality Function Deployment Based Approach in Service Quality Analysis to Improve Customer Satisfaction,” Int. J. Appl. Oper. Res., vol. 5, no. 1, pp. 41–49, 2015.
[16] K. S. Arvindakarthik, M. K. K. K, and G. S. E, “QFD for the Motorcycle Service Quality Analysis and Improving Customer Satisfaction,” Int. J. Sci. Res., vol. 4, no. 11, pp. 689–692, 2015, doi: 10.21275/v4i11.nov151210.
[17] Marsetio, Supartono, A. Octavian, Ahmadi, R. Ritonga, and Rudiyanto, “Optimization of Time Delay based Preventive Maintenance using Markov Decision Process,” Int. J. Signal Process. Image Process. Pattern Recognit., vol. 10, no. 8, pp. 125–134, 2017, doi: 10.14257/ijsip.2017.10.8.11.
[18] E. A. Elsayed, S. D. A. K, A. Rahaman, and R. Karthikeyan, “Intelligent Maintenance System by Using MARKOV Chain with Monte Carlo Intelligent Maintenance System by Using MARKOV Chain with Monte Carlo Simulation Approaches,” IOSR J. Mech. Civ. Eng., vol. 15, no. 1, pp. 18–24, 2018, doi: 10.9790/1684-1501031824.
[19] S. Assauri, Manajemen Produksi dan Operasi, Edisi 4. Jakarta: Fakultas Ekonomi Universitas Indonesia, 2004.
[20] Sugyono, Penelitian Kuantitatif Kualitatif dan R&D. Bandung: Alfabeta, 2016.
[21] R. D. Azka and R. Nurcahyo, “Quality management strategy for Indonesian aircraft MRO companies based on Kano Model, QFD matrix, and AHP,” in Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018, pp. 1544–1555.
[22] H. Dubey, A. K. Paharia, and C. Joshi, “Application of Quality Function Deployment (QFD) and Lean To Minimise Industrial Wastes,” Int. J. Res. Manag., vol. 1, no. 7, pp. 15–35, 2017.
[23] E. J. Pulikkottil, “Application of Quality Function Deployment (QFD) In Aluminium Pot Manufacturing Industry with TPM Pillars,” Int. Res. J. Eng. Technol., vol. 6, no. 4, pp. 1349–1354, 2019.