Fishbone Diagram Research Articles

Lessons Learned From Data Falsification During an Academic Course Using A Root-Cause Analysis: A Case Report.

Fabricating data or creating fictitious datasets undermines research credibility with severe consequences. To describe a data falsification incident that occurred during an undergraduate nursing research seminar and share the subsequent corrective measures employed at individual and class levels. The students involved in the falsification were asked to identify the incident's factors using an Ishikawa diagram and the 5M-Model approach, presenting their findings to the class. In guided meetings, students offered diverse perspectives on the incident's causes, thoroughly examining the decision-making process behind data falsification, considering motives and emotions. Despite initial tension, the atmosphere improved as students displayed openness and honesty. The current case study uniquely combines educational concepts with an approach to establishing a constructive organizational culture, incorporating tools from risk management and treatment safety. Academia should study adverse events, engage students in learning, and emphasize the integration of ethical codes in academia and nursing.

Analisis Pengurangan Waste Proses Produksi Pada PT SP Manufacturing

PT SP Manufacturing is a manufacturing company that operates in the field of wire harness production. When making wire harnesses at PT SP Manufacturing, waste still occurs. Waste in the production process is one of the biggest problems this company wants to solve. A defective product is a product that does not meet wire harness production standards so it cannot meet customer demand, and requires more space before rework is carried out, which causes inventory waste (Unnecessary Inventory). Reduced productivity and higher production costs are the result of this waste. The aim of this research is to use value stream mapping to identify waste in the production process and apply lean manufacturing techniques to reduce it. The results obtained are based on identification and analysis of existing problems as well as alternatives and improvements based on the formulation and objectives in the research. The largest waste in the wire harness production process of PT.SP Manufacturing is waste with a weight score of 60.89%, unknown inventory waste with a weight score of 39, 12%. The causal factors are workers who lack concentration, apply excess solder paste to the wire terminals, workers who pursue targets without paying attention to quality, resulting in defective products that require rework. The recommendations given to the company according to the fishbone diagram are proposed improvements to the wire harness production process to reduce defects and unnecessary inventory which refers to people, machines, methods and materials.

Kaizen Implementation in the Motorcycle Tire Testing Stage with the PDCA Cycle

The research was conducted at the tire trial stage at a motorcycle tire production company, which aims to reduce defects in the measurement results at the tire sample trial stage. The company policy stipulates that tire trials are carried out on 10 tire samples taken at random from each of the total production of 250 motorcycle tires. From the samples taken, it was found that the types of tire defects were Cut Sample and Crown Sample as well as tire dimension defects that did not match the target with dimensional defect types namely Pattern Bare and Bead Crack with a total of 60% defects. The method used for improvement with Kaizen through the PDCA cycle, shows several improvement steps based on Fishbone Diagram and 5W1H analysis. The result of this research is the reduction of defects to zero defects (0%), which means that the company's quality objectives can be achieved. With the principle of Kaizen through this PDCA cycle, the company gets very satisfying results, in line with its target of zero defects.

Quality Control Analysis Using Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) Methods in Semoga Laris Tofu Factory

Semoga Laris tofu factory is a business engaged in the production of tofu. This factory produces approximately 80 drums of tofu per day. There are problems faced at this factory, namely the increase in defective products, namely the texture of the tofu that is too soft, dirty tofu, and the shape of the tofu that is too thin. This can lead to decreased consumer confidence. Every day there are at least 10-15% defective products. This study was conducted to determine the types of product defects, the causes of product defects, and propose improvements to minimize defective products in tofu processing. The methods used in this research are Statistical Quality Control (SQC) and Fault Tree Analysis (FTA). The quality tools of SQC method are check sheet, histogram, pareto diagram, P control map, and fishbone diagram. Then proceed using the Fault Tree Analysis (FTA) method to determine suggestions and corrective actions. Based on the results of research using the SQC method, it is known that the number of thin size defects is 46.231, there is dirt on the tofu as many as 16.093 seeds, and the texture of soft tofu is 27.357 seeds. The results of the analysis using the fault tree analysis (FTA) method show that the causes of product defects include insufficient rest time (D2), irregular machine maintenance (E2), insufficient rest time (F1), and no temperature checker. Proposed improvements that can be given are by providing measuring instruments, making machine maintenance schedules, making machine control cards, giving breaks, supervising, giving gifts to workers, and providing thermometers.

The Synergy Model of Quality Tools and Methods and Its Influence on Process Performance and Improvement

Implementing quality tools and methods creates a basic foundation for innovations, sustainability, optimization, and competitiveness in the era of Industry 4.0 and Quality 4.0. This paper aimed to investigate the use of quality tools and methods in the 24 divisions of a mother manufacturing company without the influence of external factors such as geographical location (America, Africa, Asia, and Europe). It was important for the mother manufacturing company to implement a uniform process standard for innovation and performance. Research methods focused on using the Kanban card, Ishikawa diagram, affinity diagram, Flowchart, 5S, OPL, layout, and Pareto analysis. It was determined in this research that the synergy (combination) of quality tools and methods in divisions improves the process performance. This hypothesis was confirmed by the results of implementing quality tools in processes within divisions. A top result was the new innovative model of synergy of the quality tools and methods for divisions of the parent company thus filling a gap in the scientific field. This model created the basis for the uniform process standard in all divisions. The results brought improvements in the processes such as material input inspection, spare parts production, production process, and product packaging. This model could be a proactive instrument for process innovation.

Use of Lean Management Methodology to Reduce the Rate of Unfinished Nursing Care in the Emergency Observation Room: A Quality Improvement Project.

The integration of lean management in optimizing nursing workflow necessitates the careful examination of several factors, including nurses' work efficiency, patient experience, and health outcomes. To evaluate the extent of unfinished nursing care and patient satisfaction, we have incorporated the lean management approach into our quality improvement efforts. This proactive measure aims to address potential adverse outcomes, such as subpar inpatient experiences, escalated occurrence of adverse events, and decreased job satisfaction among nursing staff. We utilized the lean management methodology of value stream mapping in a specific facility between February and August 2021, aiming to pinpoint the crucial areas for enhancing nurses' workflow. By employing fishbone diagrams, we thoroughly analyzed the underlying causes, and subsequently employed the Plan-Do-Study-Act model to execute interventions devised based on these identified causes. Interventions included: (1) specifying the time of doctors' conventional rounds; (2) changing unreasonable scheduling; (3) employing 5S management to manage nursing supplies; and (4) eliminating duplicate papers and electronic reports. After implementing these interventions, the rate of unfinished nursing reduced from 73.4% to 39.6%, and that of finished nursing care during the shift increased from 38.6% to 71.4%. Overtime was reduced from 37.2 ± 22.4 minutes to 14.1 ± 3.6 minutes. The total patient satisfaction score for the Patient Satisfaction Questionnaire short-form increased (P < .05). The lean management of quality improvement methodologies provides effective enhancement to the work efficiency of nurses.

Barriers and Facilitators to Breast and Cervical Cancer Screenings for Hispanic Women in a Rural State

Abstract Introduction The Centers for Disease Control and Prevention (CDC) and the Division of Cancer Prevention of Control administer the National Breast and Cervical Cancer Early Detection Program (NBCCEDP), designed to increase early detection of cancers among low-income uninsured and underinsured women. However, rates of cancer diagnosis and survivorship differ among women of different ethnicities. We investigated two questions: 1) what are the potential barriers and facilitators for women to complete recommended breast and cervical cancer screenings, and 2) are the barriers and facilitators different for Hispanic women when compared to non-Hispanic White women? Methods We used a community-based participatory research approach and mixed methods: qualitative interviews with women enrolled in the program and a systematic process improvement approach to identify root causes of completing or not completing screenings. We conducted semi-structured interviews in English (n = 11) and Spanish (n = 9) and analyzed responses using fishbone diagrams. Results We recruited 20 participants in four categories: (a) non-Hispanic White women who completed screenings (n = 9), (b) non-Hispanic White women who did not complete screenings (n = 2), (c) Hispanic women who completed screenings (n = 7), and (d) Hispanic women who did not complete screenings (n = 2). Among all women, facilitators included assistance from program staff with appointments and reminders. Hispanic women reported barriers including language difficulties and confusion about the program. Non-Hispanic White women identified barriers as confusion about the role of insurance. Conclusions We found that there are differences in barriers and facilitators for non-Hispanic White women and Hispanic women due to language, the role of insurance, and the level of trust in the program. Reasons for not completing screenings for Hispanic women were structural and systemic in nature; reasons for non-Hispanic White women were based on personal choices.

Study of mental workload in public administration managers

The present research is carried out in the Municipal Administration with the objective of studying the behavior of the mental workload in the work places. The procedure used consists of three stages: preparation, experiments and results. The indicators selected for the study are: Simple Reaction Time, Complex Reaction Time, Discrimination Threshold, Depth Perception and Yoshitake Test are selected. SPSS software is used or the statistical analysis of the data, EndNote as a bibliographic manager and VOSviewer for its graphical representation. An Ishikawa Diagram is used to determine the causes that provoke mental fatigue during the working day in the individuals studied. As a result, out of the 12 workers studied, 6 presented extreme risk, 5 a worrying level and 1 a moderate level of mental workload. A proposal of measures to prevent and reduce the effect of mental workload is elaborated.

An integrated hybrid approach for assembly tolerance transfer and allocation

PurposeThis study aims to develop an optimal tolerance allocation strategy involves integrating the unique transfer (UT) approach and the difficulty coefficient evaluation (DCE) routine in an interactive hybrid method. This method combines the strengths of both UT and DCE, ensuring simultaneous utilization for enhanced performance. The proposed tolerancing model manifests an integrated computer-aided design (CAD) tool.Design/methodology/approachBy combining UT and DCE based on failure mode, effects and criticality analysis (FMECA) tool and the Ishikawa diagram, the proposed collaborative hybrid tool ensures an efficient and optimal tolerance allocation approach. The integration of these methodologies not only addresses specific transfer challenges through UT but also conducts a thorough evaluation of difficulty coefficients via DCE routine using reliability analysis tools as FMECA tool and the Ishikawa diagram. This comprehensive framework contributes to a robust and informed decision-making process in tolerance allocation, ultimately optimizing the design and manufacturing processes.FindingsThe presented methodology is implemented with the aim of generating allocated tolerances that align with specific difficulty requirements, facilitating the creation of a mechanical assembly characterized by high quality and low cost. To substantiate and validate the conceptual framework and methods, an integrated tool has been developed, featuring a graphical user interface (GUI) designed in MATLAB. This interface serves as a platform to showcase various interactive and integrated tolerance allocation approaches that adhere to both functional and manufacturing prerequisites. The proposed integrated tool, designed with a GUI in MATLAB, offers the capability to execute various examples that effectively demonstrate the benefits of the developed tolerance transfer and allocation methodology.Originality/valueThe originality of the proposed approach is the twining between the UT and DCE simultaneous in an integrated and concurrent tolerance transfer and allocation model. Therefore, the proposed approach is named an integrated CAD/tolerance model based on the manufacturing difficulty tool. The obtained results underscore the tangible advantages stemming from the integration of this innovative tolerance transfer and allocation approach. These benefits include a notable reduction in total cost and a concurrent enhancement in product quality.

Deployment of Lean Manufacturing in Palm Oil Mill for Maximum Yield: A Case Study of Leading Palm Oil Producer in Nigeria

The deployment of lean manufacturing in the palm oil mill companyaimed at maximizing yield, was thoroughly investigated. The company has been experiencing a decline in palm oil production, adversely affecting productivity and customer satisfaction. The methodology employed for optimization encompassed a comprehensive system description, detailing the case study company's history, operational modalities, production machinery, and system challenges. To gather a holistic understanding of the company's current situation, data was meticulously collected through questionnaires, examination of company records, and other relevant sources. Microsoft excel software was then utilized to analyze the acquired data. The implementation of lean manufacturing tools, such as the fishbone diagram, identification of eight deadly wastesand takt-timeplayed a pivotal role in streamlining operations. In addition, a quantitative model of the supply chain was applied, utilizing critical path method (network analysis) to determine the optimal route. The results derived from the application of lean manufacturing tools and the supply chain quantitative model exhibited a remarkable improvement between (2012-2016) and (2018-2022). The average oil palm extraction increased substantially from 8.67% (2012-2016) to an impressive 30.52% (2018-2022). Furthermore, the management tools led to a significant reduction in machine downtimes, decreasing from an annual average of 5,498.6 hours to 2,472.4 hours. This improvement resulted in a considerable reduction in the annual total average cost of machine maintenance, plummeting from #1,899,578.6 to #261,853.8. The optimization efforts also extended to the supply chain, where selecting Path-2, exhibiting the least total supply time of 11 hours, significantly reduced the cost of supply from an average of #2,168,402 to #1,893,186. Overall, the net revenue of the company witnessed a remarkable surge of 71.99% post-implementation of these management tools. This comprehensive approach not only addressed production challenges but also had a substantial positive impact on the company’s financial performance. The strategic deployment of lean manufacturing emerged as a catalyst for sustainable growth and enhanced operational efficiency.

Optimizing the production process of biscuit industry as an approach to strengthening the local agricultural sector which reduce vulnerability of the global food crisis case study: analysis of waste in coconut biscuit industry with the DMAIC method

Abstract The local biscuit industry as a potential partner in the agricultural sector continues to grow rapidly. The development of local industries, including the coconut biscuit industry, must be continuouslyoptimized as an approach to empowering local agricultural sector that indirectly play a role in reduce vulnerability of the global food crisis. This makes the industry continue to try to find and adopt efficient and effective ways to increase product value and expand market share, one of the ways is the application of lean manufacturing. In this article, a case study is used in the coconut biscuit industry using the DMAIC analysis method and several tools such as VALSAT, fishbone diagrams and FMEA. Based on the analysis conducted, it is known that in the coconut industry there are several wastes such as unnecessary motion, defects and rework, and waiting with non-value added (NVA) activities for 784s. Therefore, further analysis is carried out regarding the proposed improvements that might be implemented. Some of the suggestions for improvement that can be given are the preparation of a buffer tank that is integrated with aload cell and transfer using a piping system, determine standardization of temperature and treatment of ovens as well as stipulation of work instructions and briefings during the initial process of the production line, analysis and evaluation of capacity, line layout, and lifetime on sugar water silo pumps and adjustments size and maintenance of dough tubs so as to reduce waste and NVA in the production process area.

Improving symptom screening rates for patients with head and neck cancer.

e23246 Background: Effective symptom management in cancer care relies on regular and accurate reporting using validated patient-reported outcome measures (PROMs), such as the Edmonton Symptom Assessment System (ESAS). The ESAS measures nine common cancer symptoms, rating them on a scale from 0 to 10 to improve monitoring and communication regarding patient symptoms and prevent adverse outcomes such as emergency department visits. There is a need to enhance completion rates to ensure that head and neck cancer (HNC) symptoms are effectively addressed. High completion rates provide valuable data for cancer centers and clinicians to intervene early and support patients through their cancer journey. This makes it an important target for quality improvement (QI) with wide-ranging implications for patient outcomes and care quality. Our objectives were to: Investigate underlying reasons for poor ESAS completion rates. Lay the groundwork for strategic interventions aimed at bolstering symptom screening among HNC patients. Methods: This was a QI project targeting the HNC patient population at a regional cancer centre (RCC). Our approach included stakeholder engagement meetings alongside the expertise of QI specialists. Comprehensive data collection was conducted to analyze symptom screening rates and identify potential barriers to ESAS completion. We tracked ESAS completion on weekly HNC clinic days from 2022-2023 via manual and automated chart abstraction. Patient, staff, and volunteer interviews, along with direct clinic observations, provided data for Ishikawa diagrams, facilitating a root cause analysis. Results: We identified a marked decline in ESAS completion rates, steadily decreasing from an average of 29.4% during the 2022-2023 fiscal year to an average of 7.6% between April-November 2023, with rates dropping as low as 3.3% in September 2023. Root cause analysis pinpointed several barriers to ESAS completion, including the transition from paper-based assessments used during the pandemic to electronic formats, low patient awareness of the purpose of symptom screening, perceived lack of value in screening by patients and staff, and the absence of direct guidance from staff in helping patients complete their ESAS. Variable communication practices and inconsistencies in registration staff directing patients to kiosks was also observed. Improving infrastructure and support for volunteer services was identified as a potential solution, which may optimize their effectiveness in symptom screening roles. Conclusions: The project has laid the foundation for targeted QI interventions aimed at improving ESAS screening adherence. By addressing the identified barriers, this work endeavors to re-engage patients in active symptom reporting and to integrate this critical aspect of care into the daily routine of the outpatient hospital setting, thereby enhancing the overall management of HNC symptoms.

Identifikasi Kenaikan Suhu Minyak Lumas Pada Motor Induk di MV. Manalagi Dasa

Lubrication is one aspect that must be paid attention to, remembering that if there is a delay in lubrication or imperfect lubrication, it will result in damage to the parts that rub together. Low lubricating oil pressure is one of the factors causing imperfect lubrication in the engine. The purpose of lubrication for the performance of the main engine is to reduce friction between other components of the main engine. This research was carried out at MV. Manalagi Dasa, the method used in this research was the Fishbone Diagram. The problem formulation of this research is what causes an increase in the temperature of the lubricating oil on the main motor and what is the impact of increasing the temperature of the lubricating oil on the main motor. Based on research that has been carried out, there are several factors that cause less than optimal lubrication of the oil cooler on the main engine, namely engine factors including damage to gaskets, human factors, namely the lack of understanding of the driver about the lo cooler, operational and maintenance method factors, namely incompatibility in implementing the PMS (Plan Maintenance System) as well as environmental factors, namely dirty sea chest filters. Efforts made include repairing or replacing gaskets on the lo cooler plate, the importance of the machinist's understanding of the lo cooler, implementing PMS (Plan Maintenance System), and cleaning the sea chest filter.

Propuesta para la mejora en la reposición de inventario en una empresa retail peruana mediante herramientas lean

This research work aims to improve inventory replenishment in a retail company as it is essential for any company to meet product demand. Therefore, by analyzing the percentage of canceled orders within the retail company and using an Ishikawa diagram, it was determined that the absence of distribution centers led to cost overruns in the logistics process. By employing this methodology, the improvement proposal was divided into three stages: logistics hubs information collection and diagnosis; design and validation of the improvement proposal; and evaluation of the improvement proposal viability, risks and implementation time. These stages indicate that the proposed solution would involve establishing a logistics hub to serve as a low-cost distribution warehouse. Furthermore, during this research, we used the 5S methodology, one of the most popular lean tools, applicable to every department and action. Based on the analysis of the cost flow and economic scenarios, it is concluded that implementing the hub is feasible. This would not only increase product availability and assortment but also result in savings on transportation costs from the distribution center in Lima to the hub located in Tarapoto, Peru.

Quality Improvement of Health Plaster Products With Six Sigma Method and QCDSME Analysis

Health plasters are one of a pharmaceutical company's excellent items. There are still defective products in the manufacturing process, including torn paper, joint 1, not cut, perforated edges, joint 2, tucked, long-short, and asymmetrical. Research conducted between June and December 2021 reveals that 192.960 Kg of substandard items were discovered. The contribution of this research is to identify the underlying reasons of the problem and decrease the number of product faults. By using the QCDSME (Quality-Cost-Delivery-Safety-Morale) method analysis in the cost stage, this company is known to experience losses due to defective products of IDR 18,047,232 / year. The results of the analysis using the six sigma method at the analyze stage using the fishbone diagram tool are known that defective products are caused by the absence of size standards in the repair of plate and pressure roll positions, differences in operator responses, the absence of written procedures for handling product defects, and the existence of product roll rolls that are too loose or tight. The improvement proposal made next is to make a size standard for the plate position with a value of 12.5 ± 1 cm and a pressure roll with a value of 22 ± 1 mm with additional tools in the form of a ruler. After taking corrective steps and quality control on product defects, the results showed that the value of product defects decreased from the previous average of 1,119 pcs/day to 205 pcs/day, so that the company's loss value was reduced to IDR 3,306,240/year.

Analysis of the Readiness Level of Research Result of Gambier Sector Products Innovation in Andalas University

One of the universities that is intensified to conduct research in producing innovative products is Andalas University (UNAND). Andalas University has 83 innovative products, including Gambier products from processing in the Teaching Industry Gambier UNAND. These processed Gambier products have not all been successfully commercialized. The obstacle usually experienced is that inventors need help knowing how to commercialize the product and whether the product has innovated. This study aims to determine the level of innovation readiness of three products in the Gambier sector that have never been studied before. Data collection was carried out through interviews with each product inventor and filling out questionnaires on the Katsinov Meter measuring instrument. Analysis of the measurement results was carried out using a fishbone diagram. Based on measurements, Fitopure (+)- Catechin and Unca Tea products are at Katsinov level 4 and level 2, respectively. Meanwhile, the scrub of Gambier products did not pass any Katsinov level. Some of the causes are that there is no business model concept, the Company has yet to conduct market research, it has not finished identifying market expansion needs, and it has not finished assessing technological and financial risks. Suggestions that can be given are that the Company needs to form a business model concept, conduct market research, expand the market, and assess technological and financial risks

Analisis Gangguan Penyulang Dengan Menggunakan Diagram Pareto dan Diagram Fishbone di UP3 di Bojonegoro

Feeder interference is an important problem in the electricity system because it can cause unplanned blackouts. With society's increasing need for electricity, it is very important to understand the components that cause feeder interference. Feeder problems can be caused externally or internally. This research was used to determine the level of causes of feeder disturbances at UP3 Bojonegoro and also the root causes of these disturbances. To realize the objectives of this research, this research uses Pareto and fishbone diagrams. The highest level of problems lies in internal factors, namely insulators, conductors and arresters. Meanwhile, external factors are the result of animals and residents' activities. Then, for employment factors that influence feeder disruption, such as lack of practice regarding maintenance or restoration. Therefore, this research contributes to efforts to maintain the sustainability of the electricity system, with the hope of providing a better view of this problem and motivating the implementation of more effective preventive measures.

Analisis Pengambilan Keputusan Pada Reformasi Sistematika Rekapitulasi Suara Pemilu 2024

This study analyzes the decision-making process regarding the policy of using the Sirekap application in the 2024 election vote recapitulation process using George R. Terry's rational decision-making theory with indicators of problem clarity, goal orientation, cognitive knowledge, clear preferences, and maximum results. The method used is a literature review by mapping the problem using Fishbone Diagram Analysis. The analysis identified root causes such as complex and manual election processes, infrastructure budget requirements, lack of supervision, and inefficient manual recapitulation. Recommendations include simplifying regulations, mapping areas with limited access, strengthening regulations related to the principles of election technology, and involving supervisory institutions. The use of Sirekap is expected to increase the speed, accuracy and transparency of the recapitulation process to maintain the credibility of election results.

Exploring the relationship between Lean and Green for further research

PurposeExploring the Lean and Green relationship goes back to the beginnings of Lean manufacturing. Most cases established that companies implementing Lean have Green results. However, there are Lean practices with a higher impact on Green, but others with less impact. Therefore, this paper presents research that explores the relationship between Lean and Green in manufacturing companies and aims to determine whether Lean practices have a higher association with Green aspects.Design/methodology/approachA survey was conducted amongst manufacturing firms to determine their Lean Index (LI). The internally related elements of the Lean construct determined each firm’s LI, whilst Cronbach alpha determined internal LI consistency. The survey also identified firms developing six Green aspects: International Organisation for Standardisation (ISO) 14001, ISO 50001, general Green aspects and the specific aspects of materials, energy and water. An individual sample t-test shows different LI levels of association for each Green aspect. Binomial logistic regression shows the LI element association for each Green aspect.FindingsLI is higher at firms reporting the inclusion of Green aspects. More than half of LI components have a statistically relevant association with the six Green aspects. In general, Ishikawa diagrams had the highest association with Green aspects whilst the lowest was seen in workers as improvement initiators. By grouping the LI elements into their categories, the Lean practices related to controlling processes have a higher association, whilst the involvement of employees has the lowest.Research limitations/implicationsFurther research found in this paper identifies the possibilities for investigating the specificities of each Lean tool to develop Green aspects in companies.Practical implicationsPractitioners learn that Lean and Green are not separate issues in business. This article provides evidence that Lean practices in place at companies are already associated with Green aspects, so integration may already be happening.Originality/valueThis paper provides specifics on the relationship between each Lean practice and developing Green aspects. Thus, this paper specifies the Lean practices that contribute most to Green efficiency to support the joint development of both themes.

Implementasi Metode Overall Equipment Effectiveness Dan Six Big Losses Pada Cutting Machine

Every company is obliged to carry out efficiency strategies in every business process in order to continue to exist in today's increasingly fierce competition. This research aims to determine the magnitude of the OEE value and the dominant factors from the six big losses analysis which is used as a proposal for improvements to the cutting machine at PT ABC. The method used is Availability Ratio, Performance Ratio and Rate of Product Quality as basic elements of Overall Equipment Effectiveness and Six Big Losses and analyzed using a fishbone diagram. Calculation results for the period September 2023 to February 2024 obtained an OEE value of 82.58% with the largest contributor to losses being the idling and minor stoppages and Reduce Speed ​​factors. To overcome this, it is necessary to increase skills in identifying and repairing machines, implementing clear standard operating procedures, operator skills in conveying information about machine damage, as well as standard material for parts used by machines.