Cost and Reliability Optimization of SME-Scale Knock-Down Biomass Pyrolyzers via Value Engineering and Fault Tree Analysis

Authors

  • Mohamad Ramadani Rudiatama Bina Nusantara University, Indonesia
  • Muhammad Athala Zakwan Bina Nusantara University, Indonesia
  • Fauzi Khair Bina Nusantara University, Indonesia
  • Ahmad Maksum Politeknik Negeri Jakarta, Indonesia

DOI:

https://doi.org/10.59511/riestech.v4i2.131

Keywords:

Fault Tree Analysis, Pyrolysis Reactor, Rice Husk Waste, Sustainable Design, Value Engineering

Abstract

Small and medium enterprises in rural Indonesia are central to local growth yet often lack efficient rice husk waste management, with open burning still prevalent. This study designs an accessible knock-down biomass pyrolyzer for rural and home-scale SMEs by integrating Value Engineering and Fault Tree Analysis. The method combines functional analysis, cost breakdown, targeted simulations, and risk mapping to prioritize high-leverage improvements. The selected design includes load-indicator washers, modular knock-down joints, high-efficiency insulation, and stiffener rings in the condenser. Results indicate a structural failure risk reduction of up to 30 percent, a thermal efficiency gain of 10 to 15 percent, and only a 5.5 percent increase in production cost. Fault Tree Analysis attributes 50 percent of failures to design, 33.3 percent to assembly, and 16.7 percent to materials, while simulations show markedly lower bulging deformation, enhancing operational reliability. The final configuration is robust, quick to assemble, and well suited to rural constraints, enabling safer and more productive valorization of rice husk. The integrated approach offers a practical pathway to strengthen SME competitiveness, improve equipment reliability, and advance circular economy practices in Indonesia.

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Published

2026-04-30

How to Cite

Rudiatama, M. R., Muhammad Athala Zakwan, Fauzi Khair, & Ahmad Maksum. (2026). Cost and Reliability Optimization of SME-Scale Knock-Down Biomass Pyrolyzers via Value Engineering and Fault Tree Analysis. Recent in Engineering Science and Technology, 4(2), 103–116. https://doi.org/10.59511/riestech.v4i2.131

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