40 research outputs found
Pengembangan Metodologi Six Sigma Berbasis Dmaic dengan Pendekatan Internet of Things (IOT) Untuk Meningkatkan Pengendalian Mutu di Industri Manufaktur
Full text linkIn the manufacturing industry, quality control is a crucial factor in ensuring high-quality products that meet established standards. This study aims to develop a Six Sigma (SS) methodology with an Internet of Things (IoT) approach to enhance quality control effectiveness in the acrylic manufacturing industry. The method used in this study follows the DMAIC (Define, Measure, Analyze, Improve, Control) approach, combined with IoT technology to detect, analyze, and optimize the production process in real-time. This study employs a quantitative and qualitative (mixed-method) approach, collecting data through IoT sensor installations, production data analysis, and quality inspection. The collected data is analyzed using statistical methods and Six Sigma techniques to identify the main factors causing defects in acrylic production. Subsequently, an IoT system is implemented to improve automatic quality monitoring, reduce process variation, and optimize production efficiency. The research findings indicate that the integration of Six Sigma and IoT can significantly reduce product defect rates compared to conventional methods. Furthermore, the application of an IoT-based monitoring system enhances the speed of anomaly detection in the production process, allowing corrective actions to be taken more quickly and accurately. In conclusion, implementing this methodology can be an effective solution for the manufacturing industry to improve operational efficiency, reduce waste, and ensure consistent product quality
Critical Success Factors For Quality Improvement Projects In Pasuruan, East Java, Indonesia
Full text linkPurpose: This study aims to determine the factors influencing the successful implementation of quality improvement projects.
Theoretical framework: This research will focus on finding critical success factors for quality improvement projects and prioritizing improvements to improve the performance and success of quality improvement project implementation.
Design, Methodology and Approach: The research used Smart PLS-SEM and Importance Performance Analysis (IPA). Smart PLS-SEM was first used to determine critical success factors for Quality Improvement Projects (QIPs). Furthermore, IPA was used to determine the position of each factor based on its importance and achievements.
Findings: The result showed all dimensions and indicators significantly affect the success of quality improvement projects. The dimension with the highest outer loading value is the quality performance measurement dimension. The next step is measured using the IPA method to determine the critical factors for project success. The results of the IPA analysis show that quality control and leadership are crucial factors in the success of quality improvement projects in the second quadrant. At the same time, the factor that prioritizes improvement is quality assurance (first quadrant).
Research, Practical & Social implications: Research, Practical, and Social Implications: The research implies that quality control and leadership are critical success factors for quality improvement projects. Leadership plays an essential role in implementing quality improvement projects, and leadership commitment is an important key to the success of these projects. In addition, there is a requirement for support from leadership regarding resource allocation. This resource allocation includes labor, costs, information systems, machines, and tools. Another factor that is critical to the success of these projects is quality control. Implementation of quality control has a vital role during the quality improvement project process and after the project. With quality control, the product suits the specifications and standards and meets the targets and standards set. Products that track the results of the implementation of quality control can ensure that the product's quality is guaranteed and follows the target set.
Originality/Value: This research combines two methods to determine the critical success factors in implementing quality improvement projects. Previous research, using SEM-PLS and IPA method measurements, was carried out separately, measuring the importance and performance levels. In this study, the outer loading results in the original sample measurement with SEM-PLS for importance value in the IPA method
Perencanaan Preventif Maintenance Menggunakan Reliability-Centered Maintenance II untuk Mencegah Kegagalan Peralatan di Pembangkit Listrik Tenaga Uap
Full text linkKerugian produksi akibat breakdown peralatan kritis menjadi perhatian utama dalam bisnis pembangkitan tenaga listrik karena dapat menurunkan pendapatan. Pada tahun 2023, Total Loss Production di PLTU ADP yang dikelola oleh PT XYZ mencapai 1.010.432,7 MWh, salah satunya disebabkan oleh breakdown pada coal feeder, sehingga target kinerja Equivalen Availability Factor (EAF) hanya tercapai 81,24% dari target 86,74%. Penyebab utama breakdown adalah strategi pemeliharaan yang belum tepat dan efektif. Penelitian ini bertujuan merencanakan preventif maintenance (PM) untuk coal feeder di PLTU ADP menggunakan metode Reliability-Centered Maintenance II (RCM II) dan menganalisis data kegagalan peralatan guna menentukan interval PM yang optimal. Proses penelitian meliputi pengumpulan data, perhitungan kehandalan peralatan dengan reliability block diagram, dan penentuan interval PM berdasarkan kriteria Reliability Function R(t)<60%. Analisis dilakukan dengan Failure Mode Equipment Analysis (FMEA) dan evaluasi Failure Consequences untuk menghasilkan tindakan pemeliharaan yang tepat. Hasil penelitian merekomendasikan strategi PM dengan tindakan Scheduled discard task atau Scheduled restoration task berdasarkan interval optimal, seperti Feeder Belt Assembly (2738,85 jam), Microprocessor Feeder Electronics (3312,1 jam), dan Cleanout Conveyor(8601,56 jam). Implementasi PM prioritas pada komponen dengan kehandalan <60% (Inlet Outlet Valve, Cleanout Conveyor, Microprocessor Feeder Electronics, dan Protection Device) dapat meningkatkan kehandalan coal feeder dari 11,21% menjadi 74,19%, mencegah kegagalan peralatan, dan mengurangi kerugian produksi
EVALUASI KONSEP PRODUK DENGAN PENDEKATAN GREEN QUALITY FUNCTION DEPLOYMENT II
No full textThe population of green consumer have been increasing enormously over last few decades. Hence, many managers prefer to reduce or to avoid environmental impact that may arise from their industrial activity, including product design and development. Regarding that phenomenon, this paper describes the Green Quality Function Deployment (QFD) II method that is utilized to evaluate the concept of lamp. The Green QFD II integrates quality, environmental, and cost aspects into Concept Comparison House (CCH). Weight of each aspects has been determined by utilizing the Analitic Hierarchy Process (AHP) method. The best product and it characteristics are presented at the las section of this paper.
Abstract in Bahasa Indonesia :
Semakin berkembangnya green consumer menyebabkan banyak industri yang mulai memikirkan masalah lingkungan dalam setiap aktifitasnya, seperti halnya dalam proses perancangan dan pengembangan produk. Pada artikel ini akan dibahas metode Green Quality Function Deployment (QFD) II yang diterapkan untuk mengevaluasi konsep produk lampu. Metode ini tidak hanya mempertimbangkan aspek kualitas tetapi juga memperhatikan aspek lingkungan dan biaya ke dalam matriks-matriksnya. Ketiga aspek tersebut masing-masing dijabarkan dalam Quality House, Green House, dan Cost House. Untuk memberi bobot pada tiap aspek, pada penelitian ini digunakan metode Analitic Hierarchy Process. Pada Green QFD II ini, untuk mengevaluasi konsep produk digunakan matriks Concept Comparison House (CCH) yang mampu mengintegrasikan aspek kualitas, lingkungan, dan biaya. Hasil dari penelitian ini adalah diperoleh konsep lampu terbaik dan karakteristik lampu yang berkualitas, ramah lingkungan, dan biaya rendah.
Kata kunci: Green QFD II, Multicriteria analysis, Environmental manufactur, green design, sustainable development
EVALUASI KONSEP PRODUK DENGAN PENDEKATAN GREEN QUALITY FUNCTION DEPLOYMENT II
No full textThe population of green consumer have been increasing enormously over last few decades. Hence, many managers prefer to reduce or to avoid environmental impact that may arise from their industrial activity, including product design and development. Regarding that phenomenon, this paper describes the Green Quality Function Deployment (QFD) II method that is utilized to evaluate the concept of lamp. The Green QFD II integrates quality, environmental, and cost aspects into Concept Comparison House (CCH). Weight of each aspects has been determined by utilizing the Analitic Hierarchy Process (AHP) method. The best product and it characteristics are presented at the las section of this paper.
Abstract in Bahasa Indonesia :
Semakin berkembangnya green consumer menyebabkan banyak industri yang mulai memikirkan masalah lingkungan dalam setiap aktifitasnya, seperti halnya dalam proses perancangan dan pengembangan produk. Pada artikel ini akan dibahas metode Green Quality Function Deployment (QFD) II yang diterapkan untuk mengevaluasi konsep produk lampu. Metode ini tidak hanya mempertimbangkan aspek kualitas tetapi juga memperhatikan aspek lingkungan dan biaya ke dalam matriks-matriksnya. Ketiga aspek tersebut masing-masing dijabarkan dalam Quality House, Green House, dan Cost House. Untuk memberi bobot pada tiap aspek, pada penelitian ini digunakan metode Analitic Hierarchy Process. Pada Green QFD II ini, untuk mengevaluasi konsep produk digunakan matriks Concept Comparison House (CCH) yang mampu mengintegrasikan aspek kualitas, lingkungan, dan biaya. Hasil dari penelitian ini adalah diperoleh konsep lampu terbaik dan karakteristik lampu yang berkualitas, ramah lingkungan, dan biaya rendah.
Kata kunci: Green QFD II, Multicriteria analysis, Environmental manufactur, green design, sustainable development
A Bibliometric Analysis of Risk Management and Sustainability in the Agri-Food Supply Chain: Future Directions
No full textSustainability issues often trigger risks that require systematic management. Risks associated with various sustainability factors in the supply chain are becoming more pertinent in many food industries because of growing concerns about food safety and quality. This paper aims to identify the development of research topics related to risk management and sustainability in agri-food supply chains and to identify future research opportunities related to these topics through bibliometric analysis. We analyzed 320 articles from the Scopus database to determine publication trends, the most productive journals, the largest publishers, and the most cited articles. We visualized this bibliometric analysis using VosViewer version 1.6.20. The analysis reveals that “sustainability” is the most frequently studied keyword, clustering together with “risk management”, “agri-food supply chain”, “circular economy”, “supply chain resilience”, “artificial intelligence”, and “blockchain”, indicating a close relationship between these topics. “Food supply chain” and “agri-food supply chain” are also topics that have emerged in the last few years. However, there are still a few authors who publish on this topic. The combination of these keywords offers a potential avenue for future research
Categorizing product attributes efficiently in QFD-Kano: a case analysis in telecommunication
No full text
Purpose
The purpose of this paper is to propose a methodology to use complaints, claims and company innovation as an internal data source of customer needs for product development using the quality function deployment (QFD)-Kano approach instead of an ordinary customer survey.
Design/methodology/approach
This paper confirms that the customer complaints and claims and company innovations from the internal data source are equivalent to the Kano model’s product attributes. Data were selected from the company’s documents. To investigate the data category, a Kano questionnaire was designed and tested with 100 random respondents. Based on their answers, categories for the quality characteristics were determined and compared with the initial data categories. A second survey using professional customer respondents was conducted to increase the results’ reliability.
Findings
The approach was shown to be effective in employing complaints, claims and innovations as an alternative source of customer needs in the QFD-Kano approach.
Research limitations/implications
It is assumed that companies document their customer complaints and claims, as well as their strategic innovation plans. The complaint and claim data need to be extracted to reveal their quality characteristics. For future research, data extraction using text or data mining may be useful to bridge this gap.
Practical implications
The product development team may ascertain customer needs as duly classified. This voice of the customer is more accurate and requires less time.
Originality/value
The paper may be of value to researchers and practitioners involved in product design and development, since it offers a new source of customer need data obtained internally as an alternative to customer surveys.
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Enfoque de la metodología de superficie de respuesta para lograr la optimización de la configuración multirrespuesta en el proceso de mecanizado
Full text linkA machining cost is constructed on many factors. All aspects potentially raise the additional charges resulting from not achieving dimension due to tool wear level. The accuracy of parameters determines the effectiveness of the machining process. However, these parameters are sensitive, so the different machines may not provide the same performance. The specific machining parameters become less suitable for others. This experimental approach is proposed to obtain the parameter used on other machines without reducing the performance. This multi-response study used a response surface methodology by selecting the material removal area, feed rate, spindle speed, and the number of repetitions as input have a dominant influence on the tool wear and the dimension deviation. A comprehensive range with the specified target is obtained by applying different weights. Testing on 11 units of machines from 3 other countries provides the same performance and contributes to saving 15% of machining time.El coste de mecanizado depende de muchos factores. Todos los aspectos aumentan potencialmente los cargos adicionales resultantes de no alcanzar la dimensión debido al nivel de desgaste de la herramienta. La precisión de los parámetros determina la eficacia del proceso de mecanizado. Sin embargo, estos parámetros son sensibles, por lo que las distintas máquinas pueden no ofrecer el mismo rendimiento. Los parámetros de mecanizado específicos se vuelven menos adecuados para otros. Se propone este enfoque experimental para obtener el parámetro utilizado en otras máquinas sin reducir el rendimiento. Este estudio multirrespuesta utilizó una metodología de superficie de respuesta seleccionando el área de eliminación de material, la velocidad de avance, la velocidad del husillo y el número de repeticiones como entrada tienen una influencia dominante en el desgaste de la herramienta y la desviación de la dimensión. Aplicando diferentes ponderaciones se obtiene una gama completa con el objetivo especificado. Las pruebas realizadas en 11 unidades de máquinas de otros 3 países proporcionan el mismo rendimiento y contribuyen a ahorrar un 15% del tiempo de mecanizado
