Claim Missing Document
Check
Articles

Combination of TRIZ and Additive Manufacturing Methods: A Literature Review Van Hubert; Rosnani Ginting; Aulia Ishak
Jurnal Sistem Teknik Industri Vol. 27 No. 4 (2025): JSTI Volume 27 Number 4 September 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i4.20506

Abstract

Companies face pressure to enhance productivity and efficiency while meeting the demands of dynamic markets and global competition. Additive Manufacturing (AM) technology has emerged as an innovative solution with the capability to efficiently create complex geometries and enable design personalization, despite ongoing challenges related to quality, materials, and post-processing. The TRIZ method, as a systematic problem-solving approach, offers innovative solutions by analyzing contradictions in design, which can be applied to AM to optimize processes and products. The Design for Additive Manufacturing (DFAM) approaches leverages AM's layer-by-layer production process to create new, innovative designs. In the context of Concurrent Engineering (CE), the synergy between CE, AM, and TRIZ enables more efficient, innovative, and rapid product development, providing design flexibility, lower production costs, and shorter time-to-market. This combination of strategies offers a significant competitive advantage in the global market.
Lean Manufacturing Implementation Through Fuzzy Multi Criteria Decision-Making: A Literature Review Amelia Hafsah Hutagalung; Aulia Ishak; Rosnani Ginting
Jurnal Sistem Teknik Industri Vol. 27 No. 4 (2025): JSTI Volume 27 Number 4 September 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i4.20531

Abstract

Lean manufacturing is a systematic approach to reduce waste and increase productivity. In its implementation, lean manufacturing is often faced with complexity in its application due to inappropriate decision-making. Therefore, a more structured approach, such as the integration of the Fuzzy Multi Criteria Decision-Making (FMCDM) method, is a solution to assist decision-making within the lean framework and ensure proper lean implementation. This research aims to explore the application of FMCDM by using a Systematic Literature Review (SLR) approach, successfully analyzing 185 articles published between 2000 and 2025 focusing on integrating FMCDM and lean manufacturing. The results of the literature review show that the integration of FMCDM and lean manufacturing is still limited but has increased since 2023, with FMCDM being used for three primary purposes, namely evaluation of factors and risks in lean implementation, selection of appropriate lean tools and strategies, and assessment of lean level. This research identifies research gaps and offers practical recommendations to improve lean manufacturing effectiveness through a more adaptive and structured decision-making approach. Thus, this research is expected to significantly contribute to developing lean manufacturing theory and practice, particularly in FMCDM-based decision-making.
Planning of a Preventive Maintenance System for Lathe Machines Using the RCM II and FMECA Fattah Fadjrir Adsa; Aulia Ishak; Anizar
Jurnal Sistem Teknik Industri Vol. 28 No. 1 (2026): JSTI Volume 28 Number 1 January 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i1.23630

Abstract

Unplanned downtime and ineffective maintenance strategies remain major challenges in improving the reliability of production machinery in manufacturing industries. This study proposes a structured preventive maintenance system for a CW6293 lathe machine by integrating Reliability Centered Maintenance II (RCM II) and Failure Mode, Effects, and Criticality Analysis (FMECA). The novelty of this research lies in the systematic integration of risk-based criticality assessment, statistical reliability modeling, and maintenance task selection to develop an optimized maintenance framework. FMECA is employed to prioritize components based on severity, occurrence, and detection attributes, identifying the gearbox as the most critical component. Reliability analysis using Time Between Failure (TBF) and Time To Repair (TTR) data is conducted to determine appropriate maintenance intervals through Weibull and Normal distribution modeling. The RCM II decision logic is then applied to translate reliability characteristics and failure consequences into specific maintenance actions, namely scheduled discard and scheduled restoration tasks. This integrated approach enables the development of a proactive maintenance system that improves decision-making accuracy, enhances machine reliability, and supports a transition from reactive to risk-based preventive maintenance. The proposed framework demonstrates practical applicability for manufacturing environments and contributes to the advancement of maintenance engineering by combining reliability analysis, criticality evaluation, and structured maintenance policy design.