252 research outputs found
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Optimal PLA+ 3D Printing Parameters through Charpy Impact Testing: A Response Surface Methodology
Full text linkAdditive manufacturing (AM) has revolutionized the manufacturing sector, particularly with the advent of 3D printing technology, which allows for the creation of customized, cost-effective, and waste-free products. However, concerns about the strength and reliability of 3D-printed products persist. This study focuses on the impact of three crucial variables—infill density, printing speed, and infill pattern—on the strength of PLA+ 3D-printed products. Our goal is to optimize these parameters to enhance product strength without compromising efficiency. We employed Charpy impact testing and Response Surface Methodology (RSM) to analyze the effects of these variables in combination. Charpy impact testing provides a measure of material toughness, while RSM allows for the optimization of multiple interacting factors. Our experimental design included varying the infill density from low to high values, adjusting printing speeds from 70mm/s to 100mm/s, and using different infill patterns such as cubic and others. Our results show that increasing infill density significantly boosts product strength but also requires more material and longer processing times. Notably, we found that when the infill density exceeds 50%, the printing speed can be increased to 100mm/s without a notable reduction in strength, offering a balance between durability and production efficiency. Additionally, specific infill patterns like cubic provided better strength outcomes compared to others. These findings provide valuable insights for developing stronger and more efficient 3D-printed products using PLA+ materials. By optimizing these parameters, manufacturers can produce high-strength items more efficiently, thereby advancing the capabilities and applications of 3D printing technology in various industries
Pengembangan Algoritma Manajemen Risiko Proyek Konstruksi
Full text linkThe success of a project is uncertain. There is a possibility that the project was successful or failed. Some of the risks that may occur in the project include the arrival of goods or the completion of work late from the time set, design changes due to obstacles in the field, as well as other risks. It is therefore necessary to study the project risks to identify potential problems that may occur and make decisions to reduce risks and increase the likelihood of success of the project. In order for risk management to be performed, the owner must know the steps in evaluating the project and the steps in the implementation of risk management. This study discusses the development of algorithms for project evaluation and risk management. The resulting algorithm is then implemented to the CC-II civil construction project at Indarung VI Project. The results of the implementation show that the project is not running in accordance with the plan. The dominant factors causing delays include BOQ miscalculation by consultants, inadequate and slow decision-making mechanisms, and details of workmanship changes
Lean Implementation in Indonesian Small and Medium Enterprises: A Systematic Literature Review
Full text linkLean implementation focuses on reducing waste and improving efficiency in business operations, a strategy widely embraced in developed countries. However, its adoption among Indonesian SMEs is limited and lacks adequate research. Understanding how lean practices can effectively enhance competitiveness and productivity in this vital sector of the Indonesian economy is crucial. Despite its widespread use in Western countries, there's a noticeable gap in research specifically examining how lean principles are applied within SMEs, especially in developing countries like Indonesia. Furthermore, there's a clear scarcity of studies detailing the current state of lean implementation in Indonesia, particularly within SMEs. This study conducted a systematic literature review (SLR), thoroughly searching peer-reviewed journals and conference papers. We identified 441 articles related to lean practices in Indonesia, with 40 focusing specifically on SMEs. Through this review, we uncovered key themes and trends in lean implementation, offering valuable insights into current practices and highlighting areas for future research. This paper represents one of the first comprehensive SLRs exploring lean practices within Indonesian SMEs. It aims to deepen our understanding of how lean methodologies impact SME operations in Indonesia and provides practical guidance for researchers and practitioners interested in lean implementation. By bridging these research gaps, we hope to contribute to the body of knowledge on lean implementation in Indonesian SMEs, suggesting strategies for effective implementation and paving the way for further study in this important area
Ergonomic Risk Assessment of Warehouse Workers in the Courier Service Industry: A Case Study from Kuantan, Malaysia
Full text linkThe global surge in demand for courier services has introduced both benefits and challenges. Courier workers face immense pressure to handle large volumes of orders, leading to increasing cases of health and occupational injuries. The lack of ergonomic interventions in their work highlights the urgent need for ergonomic assessments in the courier industry. In Malaysia, current ergonomic risk assessments for warehouse courier workers are insufficient, making it essential to identify prevalent musculoskeletal disorders (MSDs) and determine the associated risk factors and levels posed by their daily tasks. This study aimed to address this gap by conducting ergonomic risk assessments among 35 warehouse workers using the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ), the Initial Ergonomic Risk Assessment (ERA) Checklist, and Rapid Entire Body Assessment (REBA). Three different work tasks were observed: scanning and sorting, tiered storage and stacking, and load unloading. The findings revealed that lower back pain was the most common ailment (14.5%), followed by hip pain (8.39%) and neck pain (7.89%). The tiered stacking storage activity posed the highest ergonomic risk, with identified risk factors including awkward postures, static and sustained activity, and repetitive tasks. The REBA analysis indicated a very high-level risk for tiered stacking storage, necessitating immediate ergonomic interventions. These findings contribute to the field of ergonomics and provide valuable insights for safety practitioners, ergonomists, researchers, and academicians in occupational safety and health and the courier service industries
Relationship between Organizational Learning and Supply Chain Agility on Organizational Performance: A Quantitative Study in Fashion SMEs
Full text linkSupply Chain Agility (SCA) is recognized as a crucial component in fostering organizational agility, offering a competitive and expansionary strategy for businesses. However, the impact of SCA on organizational performance, particularly in the fashion industry, remains underexplored. This study aims to investigate how learning and agility within the supply chain affect the performance of fashion SMEs, providing a comprehensive understanding of these dynamics. Employing a quantitative approach, data were collected through a questionnaire from 180 fashion SMEs in the Special Region of Yogyakarta, with responses obtained from managers in the fashion industry sector. This methodological choice ensures that the insights gathered are both relevant and specific to the targeted industry. A Structural Equation Modeling using Partial Least Squares (SEM-PLS) was utilized to test the hypotheses, focusing on both the direct and indirect effects of internal and external learning dimensions on organizational performance. The findings reveal that both learning and supply chain agility significantly enhance the performance of fashion SMEs, underscoring their importance in boosting organizational effectiveness. Specifically, the study highlights that internal learning processes and external knowledge acquisition are both critical in fostering a more agile and responsive supply chain. These results contribute to the understanding of how SMEs in the fashion sector can leverage learning and agility to improve performance, supporting the development of more effective supply chain strategies. Consequently, the study's hypotheses are validated, providing valuable insights for practitioners and researchers in the field. This research underscores the potential for fashion SMEs to enhance their competitive edge and operational efficiency through strategic learning and agile supply chain management
Feature Selection and Performance Evaluation of Buzzer Classification Model
Full text linkoai:ojs.josi.ft.unand.ac.id:article/3In the rapidly evolving digital age, social media platforms have transformed into battleground for shaping public opinion. Among these platforms, X has been particularly susceptible to the phenomenon of 'buzzers', paid or coordinated actors who manipulate online discussions and influence public sentiment. This manipulation poses significant challenges for users, researchers, and policymakers alike, necessitating robust detection measures and strategic feature selection for accurate classification models. This research explores the utilization of various feature selection techniques to identify the most influential features among the 24 features employed in the classification modeling using Support Vector Machine. This study found that selecting 11 key features yields a remarkably effective classification model, achieving an impressive F1-score of 87.54 in distinguishing between buzzer and non-buzzer accounts. These results suggest that focusing on the relevant features can improve the accuracy and efficiency of buzzer detection models. By providing a more robust and adaptable solution to buzzer detection, our research has the potential to advance social media research and policy. This enabling researchers and policymakers to devise strategies aimed at mitigating misinformation dissemination and cultivating an environment of trust and integrity within social media platforms, thus fostering healthier online interactions and discourse
Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming
Full text linkPT. Semen Padang is one of the cement producers competing to meet the needs of the cement. To that end, PT. Semen Padang must ensure the availability of cement on time, quantity, location and at competitive rates. One way to achieve this by optimizing the distribution system because it will be able to maximize sales and increase corporate profits. In this research, the distribution network planning model of PT. Semen Padang considering the cost of transportation, facility capacity, time, and uncertain demand. This model aims to minimize the total cost of product distribution and cost of opening the buffer warehouse and Packing Plant and maximize responsiveness to customers considering the uncertain parameters by using Fuzzy Multi-Objective Programming method. Based on the results of the research, had obtained the product distribution network planning model by using the fuzzy multi-objective programming method with the output is the opening of Packing Plant and buffer warehouse and the amount of product delivery to the final consumer with minimum cost and time of distribution. Search solution or output model assisted with Software Lingo 17.0. The designed model is able to explain the change of output if there are any changes in parameters covering demand between marketing areas, transportation costs between marketing areas and vehicle speed in transporting products from the last distribution center to the marketing area. The model can be implemented in the distribution network planning of PT. Semen Padang by using data in accordance with the conditions in the field
SEM Analysis of Contractor Performance in Accelerating Electrical Construction Project: Insights from Herzberg's Dual Factor Theory
Full text linkIn the rapidly developing electrical construction industry, the success of organizations is directly linked to the performance of their business partners. This study focuses on Indonesia's state-owned electrical enterprises, where a notable decline in Key Performance Indicators (KPIs) has raised concerns, hypothesizing that deficiencies in contractor performance are a major barrier to the timely completion of electrical construction projects. At the core of this issue is the role of human resources, identified as a pivotal factor in contractor performance that directly impacts project completion. The aim of the research is to elucidate the complex dynamics between motivator and hygiene factors, which are fundamental to Herzberg's dual factor theory, and their impact on the performance of the contractor's employees. Using Structural Equation Modeling (SEM), the study analyzes data from questionnaires distributed to 250 industry professionals. The analysis provides key insights into how these factors significantly influence job satisfaction and, ultimately, employee performance. These insights play a critical role in strategically planning contractor management practices. By emphasizing the need to understand the key factors driving employee satisfaction and performance, the study lays a solid foundation for designing effective employment contracts and management strategies. The practical implications of this research are significant, offering a pathway for contractors to enhance employee satisfaction and performance. This ultimately leads to the delivery of high-quality electrical infrastructure projects efficiently and promptly, underlining the study's relevance and importance in the contemporary industrial landscape
Risk Mitigation Strategy for Coal Transshipment
Full text linkCoal transshipment necessitates efficient and prompt execution, devoid of any delays or work-related accidents. Numerous events during the transshipment process have the potential to disrupt operations and pose substantial risks. This research aims to examine the risks associated with coal transshipment by leveraging ISO 31000:2018 as the risk analysis framework. Additionally, it seeks to prioritize risk mitigation strategies employing the Techniques for Other Preferences by Similarity to Ideal Solutions (TOPSIS) methodology. Data collection for this study involved surveys and expert discussions to comprehensively analyze all risks by ISO 31000:2018 guidelines. The findings were then visualized through the use of a fishbone diagram, which facilitated the identification and understanding of the generated risks. The analysis revealed several threats that could impact the coal transshipment process. These major threats include natural disasters, equipment failures, shipping accidents, health risks for workers, fire hazards, operational delays, inefficient loading and unloading processes, and transportation accidents. The proposed mitigation strategies such as designing SOPs, developing emergency response plans, implementing safety measures, providing training, conducting risk assessments, and ensuring equipment maintenance, are academically supported and practical in their application. However, challenges such as financial constraints, resistance to change, and the dynamic nature of the process need to be overcome for effective implementation. Organizations can enhance safety and operational efficiency in coal transshipment by carefully managing resources, engaging stakeholders, and continuously evaluating and improving strategies. Overall, the proposed strategies offer a feasible and proactive means to mitigate threats and promote a safer and more efficient transshipment process
Innovative Multi-Criteria Decision-Making Approach for Supplier Evaluation: Combining TLF, Fuzzy BWM, and VIKOR
Full text linkWhen confronted with underperforming suppliers, the need to evaluate and improve supplier performance becomes apparent. However, the inherent inaccuracies in information introduce complexity, especially when subjective human judgment is involved in the supplier evaluation process. Associated with such problem, this study presents a novel methodology for supplier performance evaluation in the crumb rubber industry, integrating the Taguchi Loss Function (TLF), fuzzy Best-Worst Method (BWM), and VIKOR technique in group decision-making environment. Aimed at addressing the challenges in industries with variable supplier quality and performance, such as the crumb rubber industry in Indonesia, the methodology was empirically tested to demonstrate its practical utility. The process involved identifying evaluation criteria through literature review tailored to the needs of decision makers (DMs), applying TLF to quantify losses from supplier performance deviations, using fuzzy BWM to determine criteria weights based on the DMs judgment, and employing the VIKOR technique for comprehensive supplier ranking. The findings underscore the methodology's effectiveness in enhancing decision-making, offering a unified metric that accommodates diverse criteria and balances precise data with subjective assessments. This approach simplifies the evaluation process, particularly in situations with conflicting interests among decision-makers. Demonstrating its practical application in the crumb rubber industry, the study highlights the methodology's potential for broader industrial applicability. Future research could explore comparative analyses with other analytical methods, further establishing the methodology's robustness and adaptability in different management contexts.