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Analisis Produktivitas Melalui Metode Terintegrasi OEE, FMEA, dan TPM pada Mesin Hydraulic Dished End Press (Studi Kasus: PT. Meco Inoxprima) Nadya Shavira Julia Azzahra; Wiwin Widiasih
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58740

Abstract

Machine productivity is a critical factor in the success of manufacturing production systems. This study aims to analyze the effectiveness of the Hydraulic Dished End Press at PT Meco Inoxprima and identify the primary causes of the machine’s performance decline using an integrated approach combining OEE, FMEA, and TPM. Based on operational data from September 2025 to February 2026, the average OEE value was 44,96%, far below the world-class standard of 85%. The component contributing the most was the performance rate (average 64,20%). An analysis of the Six Big Losses identified setup and adjustment losses (12,50%) and equipment failure losses (11,93%) as the largest losses. Through FMEA, the most critical failure modes were hydraulic seal leaks (RPN 432), hydraulic pump failure (RPN 300), and die wear (RPN 280). Improvement proposals based on the TPM pillars were implemented in April 2026 and continued in May 2026, resulting in and increase in the OEE value from 44,96% to 61,92%, demonstrating the continued impact of sustained TPM implementation.
Peningkatan Keandalan Mesin Inject Molding dengan Metode House of Risk dan Reliability Centered Maintenance Desti Sagita Sharren Noertjahjo; Wiwin Widiasih
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58842

Abstract

The manufacturing industry must ensure the reliability of production machinery so that processes run smoothly and business objectives are achieved. If machinery is used continuously, operational disruptions can lead to breakdowns, downtime, and a decline in production performance. Such conditions can disrupt the production process and result in losses for the company. Therefore, it is important to identify and control the risks of machinery failure. The objective of this study is to identify and reduce factors that could potentially cause “breakdowns” and improve the reliability of the Sound SE 1800 machine in plastic pallet production. The House of Risk (HOR) was used to determine which risk sources should be prioritized, and Reliability-Centered Maintenance (RCM) was used to develop a maintenance plan. Research data included machine maintenance history, failure frequency, and downtime. The results of the study yielded recommendations for more efficient maintenance methods that can improve production machine performance.
Design of a Shallot Peeling Machine for EA Kitchen MSME Using Voice of Customer, Quality Function Deployment, and Anthropometric Analysis Indah Putri Herlambang; Wiwin Widiasih
Jurnal Ilmiah Teknik Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i2.2807

Abstract

Manual shallot peeling remains a time-consuming and labor-intensive activity in small-scale food-processing enterprises. Therefore, appropriate peeling equipment is needed to improve efficiency while remaining suitable for the operational conditions of micro, small, and medium enterprises (MSMEs). Objective: This study aimed to develop a user-oriented shallot peeling machine design that meets the operational, ergonomic, and economic requirements of EA Kitchen, a food-processing MSME located in Driyorejo, Gresik, Indonesia. Methods: This study employed a product design and development approach. Data were collected through field observations, interviews, questionnaires, and anthropometric measurements. User requirements were identified using the Voice of Customer (VoC) approach and translated into technical priorities through Quality Function Deployment (QFD) and the House of Quality (HoQ). Anthropometric analysis was used to determine the appropriate machine height, while preliminary cost analysis was conducted to estimate fabrication requirements. Results: The results showed that design was the highest-priority customer attribute, with a weight of 47.3%, followed by quality at 31.5% and safety at 21.0%. Large capacity was identified as the most important technical response at 31.49%, followed by ease of maintenance at 28.03%, ease of operation at 21.80%, and material selection at 18.69%. The proposed machine height was 83 cm, while the preliminary cost of the identified main components was IDR 900,000. Implications: The findings provide a practical basis for developing a shallot peeling machine that is more compatible with the production capacity, ergonomic requirements, operational simplicity, and financial limitations of small-scale food-processing enterprises. Originality: The originality of this study lies in the integration of VoC, QFD, anthropometric considerations, and cost evaluation into a single user-centered design framework specifically applied to the development of shallot-peeling equipment for MSMEs.
Analysis and Improvement of Rubber Roll Production Line Balancing Using Ranked Positional Weight (RPW) and Region Approach Methods at CV. ABC Fatur Rahman; Wiwin Widiasih
Jurnal Ilmiah Teknik Vol. 5 No. 2 (2026): Mei: Jurnal Ilmiah Teknik
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/juit.v5i2.2901

Abstract

The rubber roll production line at CV. ABC exhibited considerable workload imbalance among workstations, particularly at the steam and turning processes. Differences in processing times resulted in potential bottlenecks, high balance delay, and inefficient utilization of available production-line capacity. Objective: This study aims to analyze the existing rubber roll production-line balance and compare the Ranked Positional Weight (RPW) and Region Approach methods to identify a workstation configuration with improved line utilization and more uniform workload distribution. Methodology: A quantitative engineering case-study approach was applied. Primary data were collected through direct observation, interviews, documentation, and stopwatch time study, while secondary data were obtained from company production records and relevant literature. Processing-time data, precedence relationships, performance ratings, and allowances were analyzed to determine work-element times and production-line characteristics. The existing configuration was evaluated using line efficiency, balance delay, idle time, and smoothness index. Work elements were subsequently reallocated using RPW and the Region Approach, and the resulting production-line performances were compared. Findings: The existing production line consisted of six workstations with a line efficiency of 52%, a balance delay of 48%, and a smoothness index of 214.04. Both RPW and the Region Approach reduced the number of workstations to five and increased line efficiency to 70%, while balance delay decreased to 30%. However, RPW produced a smoothness index of 117.4179, considerably lower than the 223.29228 obtained using the Region Approach. The RPW configuration also resulted in a total idle time of 204.38 min, indicating improved utilization of available workstation capacity. Implications: The findings provide an engineering basis for reorganizing work-element allocation in rubber roll production. The proposed RPW configuration can support more uniform workstation loading and improve production-flow efficiency, particularly in manufacturing processes with substantial variation in processing times. Originality: This study provides a direct comparison between cumulative positional-weight allocation and precedence-region grouping under the same rubber roll production conditions. The results demonstrate that identical line efficiency and balance delay do not necessarily indicate equivalent workload uniformity, highlighting the importance of smoothness index as a complementary criterion for selecting a line-balancing configuration.
Evaluation of Quality Failures in the Production Process Using the Seven Tools and Failure Mode and Effect Analysis (FMEA): Evaluasi Kegagalan Kualitas Proses Produksi Menggunakan Metode Seventools dan Failure Mode and Effect Analysis (FMEA) Achmad Luqman Hakim; Wiwin Widiasih
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v9i2.1761

Abstract

CV. Simetri Utama, a manufacturer of frozen shrimp molds, has two dominant types of defects: imperfect codes and uneven shapes. Based on the research findings, the product defect rate exceeds the company standard of 3%. This study aims to identify the types of defects, analyze the contributing factors and impacts of failures, and propose improvement recommendations to minimize the risks of product defects. The methods used are the Seven Tools and Failure Mode and Effect Analysis (FMEA). The Seven Tools are applied to analyze and resolve issues related to product quality. The results show that uneven shape defects account for 54.55%, making them the most dominant, followed by imperfect code defects at 45.45%. Failure Mode and Effect Analysis (FMEA) is utilized to determine the priority level of risks through the assessment of Severity, Occurrence, and Detection. The main contributing factors include improper tool and zero-point settings, incorrect tool selection, suboptimal parameters, as well as environmental and machine conditions. Based on the Risk Priority Number (RPN) generated through the FMEA approach, six failure types are prioritized for evaluation, namely finishing, roughing, tool offset adjustment, semi-finishing, zero-point setting, with tool offset adjustment being the top priority for improvement. The application of the Seven Tools and FMEA methods is expected to reduce the risks of identified potential failures, thereby lowering the defect rate and continuously improving product quality
Eliminasi Waste pada Produk Pipa Baja Non-American Petroleum Institute (Api) di PT. XYZ dengan Pendekatan Lean Manufacturing Deny Rahma Afifi; Wiwin Widiasih
JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Teknik Industri dan Inovasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jisi.v4i3.1827

Abstract

PT. XYZ is a manufacturing company engaged in steel pipe production. In the production process of non-American Petroleum Institute (API) steel pipes, the company still experiences various types of waste, resulting in an inefficient production process. The identified wastes include defects, waiting, transportation, and non-value-added activities, which contribute to increased production time and reduced productivity. This study aims to analyze the major wastes occurring in the non-API steel pipe production process and propose improvements using the Lean Manufacturing approach. The methods employed in this study include Value Stream Mapping (VSM), Value Stream Analysis Tools (VALSAT), Process Activity Mapping (PAM), and Failure Mode and Effect Analysis (FMEA). Data were collected through direct observation, interviews, and documentation of the production process. The results indicate that the dominant wastes affecting the production process are defects, waiting, and transportation. PAM analysis shows that non-value-added activities remain relatively high, leading to production time inefficiencies. Based on the FMEA results, the main causes of waste are machine conditions, work methods, and operator skills. Proposed improvements include periodic machine maintenance, production quality control, work method improvement, and the optimization of material flow.