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ISSN 2063-5346
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LIFE CYCLE PREDICTION ON HEAVY EQUIPMENT: A SYSTEMATIC LITERATURE REVIEW

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Anggi Febrianto, Mokh. Suef, Muhammad Saiful Hakim
» doi: 10.31838/ecb/2023.12.s3.383

Abstract

The heavy equipment industry is one of the supporting commodities in the fields of infrastructure development, agricultural development, mineral mining and coal mining. the heavy equipment industry in Indonesia continues to grow by recording sales in 2020 of 5,393 units and an increase in 2021 of 14,706 units or an increase of 172% [1]. From the pre-survey that we conducted, 24% of owners did not know when the unit would decline and when to buy a new unit. Purpose Main purpose this paper to make a literature review study to identify concepts and methods to predict the life cycle of heavy equipment in supporting the owner's decision. Method To identify concepts and methods to predict the life cycle of heavy equipment Articles were reviewed using a systematic literature review with data from ScienceDirect. Result Result in this study presents data analysis from 7811 articles on life cycle prediction that have been analyzed using vosviewer software as well as descriptive analysis from 427 relevant articles on heavy equipment life cycle. Conclusion Conclusion of this study provides a perspective on research conducted on heavy equipment life cycle predictions which results in an important note that no one has discussed heavy equipment investment decision making by considering heavy equipment life cycle predictions comprehensively.

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