Analisa Biaya dan Pengambilan Keputusan dari Condition Based Maintenance Berbasis IoT

Dewanti, Dewanti (2019) Analisa Biaya dan Pengambilan Keputusan dari Condition Based Maintenance Berbasis IoT. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Condition Based Maintenance (CBM) adalah salah satu metode maintenance yang lebih efektif dalam reduksi biaya maintenance dalam hal jumlah aktivitas, dibandingkan dengan preventive maintenance atau corrective maintenance. Untuk mendapatkan sistem CBM yang efektif, monitoring kondisi degradasi sangat diperlukan. Berkembangnya teknologi informasi dan komunikasi menggiring dunia perindustrian memasuki era industri 4.0, dimana berbagai obyek pintar dapat terhubung satu sama lain dalam satu jaringan yang disebut dengan Internet of Things (IoT). IoT dapat mempermudah monitoring dan controlling dari obyek, memudahkan sistem maintenance untuk dapat memantau aset, merekam, menganalisa data degradasi yang terjadi bahkan memfasilitasi untuk pengambilan keputusan. Penelitian ini mengangkat permasalahan integrasi berbagai obyek pintar dalam mendukung aktivitas CBM dalam pengurangan biaya, serta pengambilan keputusan dari sistem IoT dengan kriteria minimasi biaya. Penelitian ini akan dilakukan dengan menggunakan Activity Based Costing (ABC) untuk analisa biaya, dan formulasi model matematis untuk kriteria pengambilan keputusan yang kemudian akan diuji coba dengan analisa numerik menggunakan case study yang dilakukan di perusahaan manufaktur yang menerapkan sistem IoT. Beberapa kondisi sistem yang akan diuji coba yaitu sistem tanpa IoT, sistem dengan IoT dan autoshutdown di stroke ke-300, dan sistem IoT yang mempertimbangkan kondisi degradasi peralatan untuk shutdown. Hasil menunjukkan bahwa sistem yang mempertimbangkan degradasi membutuhkan biaya yang lebih rendah dibandingkan dengan sistem yang lain. Dengan aktivitas maintenance yang lebih sedikit daripada sistem dengan IoT dan autoshutdown pada stroke ke-300, mengakibatkan biaya yang lebih sedikit dan produktivitas yang lebih besar karena delay akibat maintenance yang lebih sedikit.
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Condition Based Maintenance (CBM) is one of maintenance method that believed to be the most effective at reduction of cost and number of activities than the other maintenance methods. Degradation monitoring condition is an important things in order to get effective CBM system. The rapid development in information and communication has lead our industrial phase to industry 4.0, where are lot of smart objects can be connected and integrated in one network system, which is called Internet of Things (IoT). IoT facilitates monitoring and controlling to an object, and help maintenance system to monitor, record, and analyze the degradation of the object. Furthermore, with real time monitoring, system could detect and make decision when is maintenance activity should be done with consideration in cost. This research focused in the issue of integration of many smart objects to support CBM activities in cost reduction and IoT decision making with cost minimization as criteria. Cost analysis has been done using Activity Based Costing (ABC) and mathematical model has been constructed for decision making criteria which will be tested with numerical test using the data that gathered from company which applied IoT system. There are three condition which are tested: system without IoT implementation, current system with IoT implementation (auto shutdown when machine stroke reaches 300), and IoT system that consider the degradation condition to shut down. The result shows that IoT based CBM system that consider degradation level will incur optimal number of activities which resulting in fewer cost that the other systems. With fewer activity maintenance than auto-shutdown at 300 strokes, shows that the productivity increase without any delay due to maintenance.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Activity Based Costing, Condition Based Maintenance, Degradasi, Remaining Useful Life, Pengambilan Keputusan
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TA Engineering (General). Civil engineering (General) > TA174 Computer-aided design. T Technology > TS Manufactures > TS167 Costs, Industrial T Technology > TS Manufactures > TS174 Maintainability (Engineering) . Reliability (Engineering)
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	Dewanti -
Date Deposited:	22 Jul 2026 07:36
Last Modified:	22 Jul 2026 07:36
URI:	http://repository.its.ac.id/id/eprint/66407

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