A Hybrid Simulation Study to Determine an Optimal Maintenance Strategy

Ig. Jaka Mulyana; Ivan Gunawan; Yunia Vera Angelia; Dian Trihastuti

doi:10.25077/josi.v19.n2.p91-100.2020

Ig. Jaka Mulyana

Universitas Katolik Widya Mandala Surabaya

Ivan Gunawan

Universitas Katolik Widya Mandala Surabaya

http://orcid.org/0000-0002-4234-6574

Yunia Vera Angelia

Universitas Katolik Widya Mandala Surabaya

Dian Trihastuti

Universitas Katolik Widya Mandala Surabaya

Keywords

maintenance strategy, monte carlo simulation, system dynamics, preventive planned maintenance, corrective maintenance

Abstract

With the increasing complexity of the process industry, having excellent maintenance management is essential for manufacturing industries. Various parts that interact and interdependent with each other make a well-planned maintenance strategy is one of the major challenges facing by industry. The whole system could be interrupted just simply because of the failure of a component. Therefore, a review of a maintenance strategy must be done from a system perspective. It is suggested that the optimal preventive maintenance time interval is not only determined by the lowest maintenance cost of each machine but also its impact on the whole system. Two main indicators that can accommodate the system perspective are reliability and revenue. A large number of machines and the array of machines can be synthesized in the reliability indicator. Moreover, the creation of maximum revenue is always the main goal for a business. The best maintenance strategy will be determined from the revenue obtained by a process industry. The process industry discussed in this study is a flour mill which is very well known in Surabaya. This study applied a hybrid simulation to solve this problem. Monte Carlo simulation was used to observe the machine individually and the results are reviewed using the application of System Dynamics. Three improvement scenarios were proposed in this simulation study. Scenario 2 was chosen as the best scenario because it was able to generate the highest revenue at the end of the period. Scenario 2 recommends setting the preventive maintenance time interval considering resource availability.

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Published

Nov 20, 2020

https://doi.org/10.25077/josi.v19.n2.p91-100.2020

How to Cite

[1]

I. J. Mulyana, I. Gunawan, Y. V. Angelia, and D. Trihastuti, “A Hybrid Simulation Study to Determine an Optimal Maintenance Strategy”, J. Optimasi Sist. Ind., vol. 19, no. 2, pp. 91–100, Nov. 2020.

Issue

Vol. 19 No. 2 (2020): Published in November 2020

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Author Biographies

Ig. Jaka Mulyana, Universitas Katolik Widya Mandala Surabaya

Ig. Jaka Mulyana is a Senior Lecturer in Industrial Engineering Department, Widya Mandala Surabaya Catholic University Surabaya Indonesia. He earned B.S. in Agricultural Industrial Technology from Gadjah Mada University Jogjakarta Indonesia and Masters in Industrial Engineering from Sepuluh Nopember Institute of Technology Surabaya Indonesia. He has published journals and conference papers. His research interests include quality engineering, lean manufacturing and supply chain management.

Ivan Gunawan, Universitas Katolik Widya Mandala Surabaya

Ivan Gunawan is a lecturer in Industrial Engineering Department at Widya Mandala Catholic University, Surabaya. He obtained his bachelor’s degree in Industrial Engineering from Widya Mandala, a master’s degree in Technology Management and a doctoral degree in Logistics and Supply Chain Engineering from Institut Teknologi Sepuluh Nopember (ITS). His research interests are in food supply chain and quality management. Aside from publishing in reputable journals such as Supply Chain Forum: An International Journal, Industria and Widya Teknik, Ivan also actively joins international conference such as IEEM. In past few years, he has delivered lectures in statistical quality control, operations research and simulation.

Yunia Vera Angelia, Universitas Katolik Widya Mandala Surabaya

Yunia Vera Angelia was born on June 8th, 1998 in Mataram. She holds B.S degree in Industrial Engineering from Universitas Katolik Widya Mandala Surabaya. Her research interest is in maintenance management. During her college, she had become a tutor for operations research.

Dian Trihastuti, Universitas Katolik Widya Mandala Surabaya

Dian Trihastuti received her PhD in Industrial Manufacturing and Systems Engineering from University of Missouri. She is working as a lecturer in Industrial Engineering department, Widya Mandala Catholic University. Her research interest includes sustainable supply chain, facility location and planning, input-output modelling, and logistics management.