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The textile industry significantly contributes to the global economy, producing vast apparel and providing items to clients worldwide. Despite having a large client base, the industry needed help promptly meeting deadlines. This study aims to ascertain the elements that diminish the productivity of the textile sector. The study presents a thorough investigation into the factors influencing productivity within the textile industry, aiming to improve efficiency and meet deadlines more effectively. By conducting a time and motion study, the research establishes a standardized production time, revealing a potential output enhancement of 3,120 pieces in eight hours. Utilizing diverse priority rules, including Earliest Due Date (EDD) and Shortest Processing Time (SPT), the study projects a significant increase in production, estimating 90,480 outputs over 39 days. Furthermore, employing the Pro model, the study evaluates current and proposed process enhancements, demonstrating a notable reduction in production time by 13.2%. The proposed layout adjustment not only streamlines operations but also mitigates transport delays, showcasing practical improvements in industry practices. In conclusion, the study provides valuable insights into optimizing textile manufacturing processes. Its findings not only suggest immediate productivity enhancements but also pave the way for future research into alternative scheduling methods, promising greater flexibility and efficiency in resource and task management. [ABSTRACT FROM AUTHOR]

For the success of manufacturing activity, an effective facility layout is essential. It ensures smooth workflow processes, reduces unnecessary usage, and improves the effectiveness of resource utilization. As a way to implement another possibility of optimizing a facility layout, this study aims to enhance productivity and efficiency by optimizing the production area layout through a ProModel simulation approach. The study identified inefficiencies in the production workflow, particularly related to long travel times and improper arrangements. Using time and motion studies, this paper analyzed task completion times and motions to address bottlenecks and improve workflow. The conceptual framework integrated data collection, analysis, simulation, and process optimization to enhance the facility layout and operational processes. The study's findings emphasize the importance of a well-designed factory layout in boosting worker productivity and machinery efficiency. A new facility layout was recommended, which has the ability to produce 14 batches of handbooks compared to the existing production process of 10 batches only. This shows a significant improvement of 40% in the company's production output, aligning with the project's objectives for meaningful improvements in the production area. [ABSTRACT FROM AUTHOR]

Efficiency, Productivity, and Production layout are crucial metrics to the company’s operations. However, several complexities are found in hat manufacturing, leading to unavoidable dilemmas. Observations at a hat company revealed several critical issues such as insufficient manpower causing productivity problems, workers juggling multiple roles leading to delays, lengthy travel times between stations, delays due to defects and machine malfunctions, and inefficient production methods. To address these issues, engineering methods shall be utilized. This study employed industrial engineering tools such as the fishbone diagram for cause and effect analysis in 5Ms and Pareto chart to identify significant potential problems in the company that can impact operations. The study aims to improve manpower, layout, hat production, eliminate delays, and ensure sufficient supply and storage for fixtures and equipment in the manufacturing company utilizing ProModel Software. The techniques used in process optimization, product quality, and cost reduction are Time and Motion Study and function cost matrix. This study proposes methods for product, process, and cost management in the hat manufacturing company. The results show a total cost savings of 39.2% in the function cost matrix. In the time and motion study and ProModel simulation, the current yield results in 67 cycles and the proposed 81 cycles. The VA/VE approach helps in reaching optimum results for the company’s efficiency with a comparison of cost and process improvement. Utilizing tools like Value Analysis and Value Engineering (VA/VE) has played a major role in achieving the necessary improvements that the company will benefit from in the long term. Directions for future study include producing new research that will explore further alternative methodologies for existing industry problems. [ABSTRACT FROM AUTHOR]

In today's highly competitive global world, the study explores the production challenges of the footwear industry. A company's most common problem is the bottlenecks and production inefficiencies. In addressing this pressing problem, the study sought to apply engineering tools such as ProModel Simulation and Time and Motion Study; the paper enables the proposed new design facility layout as a solution to boost the number of outputs in a company. This paper presents two strategic solutions: The Lean Six Sigma Approach emphasizes the need to reduce waste, improve processes, and increase product and process quality through running in the ProModel Simulation. The number of outputs increases from 136 to 172. At the same time, the U-shaped line Production Methodology arranges the process in a closer environment, aiming to have less transportation and allocate tasks more cohesively. The outputs from this method also increased from 136 to 151 exits. These solutions focus on streamlining production to enhance productivity and efficiency within the company. Overall, the study provides valuable insights and practical strategies for improving production efficiency in the footwear industry. For future research, others may include the company’s monetary value to give a better approach and strengthen the results that would benefit the company’s growth and development. [ABSTRACT FROM AUTHOR]

Shoe manufacturing industry in the Philippines provides a variety of footwear worldwide. Despite numerous clients, this industry still experiences challenges in production. Hence, this study addresses the challenges faced by the shoe manufacturing industry in Marikina City, Philippines, particularly in optimizing production and efficiency. The company is experiencing productivity challenges that are affecting manufacturing as well as product quality. Poor performance, inefficient work methods, and an unhealthy workplace all contribute to lower productivity. This study aims to minimize inefficiency and enhance productivity in production processes through time and motion study, Promodel simulation, value analysis/value engineering, and quality tools. The study suggests establishing a standard time to reduce defects, and delays while increasing productivity. The study findings highlighted significant improvements in efficiency through specific operational guidelines, inspections, and storage procedures, targeting a total process increase of 21.80%. By implementing a function cost matrix, the manufacturing saved 24.76%. Utilizing ProModel, the study proposed operational adjustments and layout reorganization to eliminate bottlenecks and enhance employee well-being facilities. These changes reduced typical time without compromising company efficiency, productivity, or product quality. The strategic measures outlined in this study hold promise for ushering in a new era of enhanced productivity and operational efficiency within the shoe manufacturing sector in Marikina City. Through concerted efforts to optimize processes and create a conducive workplace environment, manufacturing can pave the way for sustained growth and competitiveness in the industry. [ABSTRACT FROM AUTHOR]

The garment industry plays a crucial role in the economy's overall growth by manufacturing the quality of clothes being sold worldwide. But despite playing a crucial role in economic growth, the industry experiences idle Times that affects productivity. The goal of this study is to identify the factors that cause delays and propose an optimized facility layout that helps enhance the productivity and efficiency of the whole production. Moreover, this study offers a comprehensive analysis of the impact of facility layout on manufacturing productivity, specifically on garment manufacturing production of two-way colored shirts. Additionally, this study uses qualitative and quantitative research methodologies, including the time and motion study (T.M.S.) method and ProModel Simulation software, to analyze the production process. This paper observed and interviewed workers at garment manufacturing companies and validated the present and proposed facility layout for garment manufacturing companies using ProModel Simulation software. After simulating, the study indicates that the proposed production layout significantly increased production capacity, elevating the hourly production rate by 4.62 times. This means there is a significant increase in the production efficiency and output of garment manufacturing, with the ability to produce 231 shirts within an eight-hour shift compared to the previous 50 shirts. Future research of this study will consider other layouts theory approaches such as U-shaped layout and Cellular layout. This paper presents the crucial role of strategic facility layout planning in manufacturing processes, offers valuable insights for similar industries aiming to enhance their manufacturing productivity, and demonstrates the potential for substantial improvements in operational efficiency and output through layout optimization. [ABSTRACT FROM AUTHOR]

Plastic bottle caps play a crucial role in sealing and preserving the contents of beverage containers, ensuring freshness and preventing leakage. This paper aims to optimize manufacturing processes at Plastic Bottle Caps Manufacturing Company to meet production objectives. Challenges include meeting daily demand quotas, boosting productivity, and refining layout processes of secondary processes by eliminating delays and downtime, employing tools like Time and Motion study, ProModel simulation, and DMAIC techniques. Ishikawa diagrams identify root causes and concentrate on the 6M's: Method, Machine, Manpower, Measurement, Material, and Money, while Pareto diagrams prioritize areas for improvement to alleviate bottlenecks. Proposing a U-shaped sequential layout enhances quality checking procedures, weighing processes, and increases worker productivity through reduced manpower allocation, machine monitoring, and improvement. It results in a 3.14-minute reduction in production time, eliminating 17.60 meters of unnecessary travel and reducing delay and waste time by 17.82%, surpassing the study's 4% improvement objective with a 15% allowance factor. Production increases to 33 cycles, yielding approximately 33,000 caps per day, representing an 18.18% productivity rate increase from 27 cycles. These improvements surpass the study's goals, meeting the daily quota and increasing productivity by 10%. The study recommends further modern approaches and methodologies to sustain effectiveness. [ABSTRACT FROM AUTHOR]

The Earth, a complex and interconnected system, faces an imminent threat from climate change, exacerbated by escalating carbon emissions. The Philippines addressed air quality concerns with the Clean Air Act of 1999, emphasizing mobile sources like vehicles. This paper proposed a catalytic converter prototype incorporating zeolite to assess its efficiency in reducing carbon emissions. Employing an experimental approach, the study utilizes t-tests as a statistical tool to compare carbon emissions between vehicles with and without the zeolite-based catalytic converter and value analysis and value engineering to optimize the production process and reduce costs. Based on the obtained results, "Z-Lite" is a profitable alternative exhaust filter for diesel engines, showcasing its potential to reduce carbon emissions significantly. The statistical analysis, yielding a low p-value, supports the hypothesis that zeolite filters effectively reduce carbon emissions. With over 100 emission centers in the Philippines, the marketability of ZLite in Marikina City underscores its practicality in addressing environmental concerns and promoting sustainable practices in the transportation industry. The integration of value analysis and value engineering ensures that it is both environmentally friendly and affordable, making it a promising and sustainable choice for mitigating the environmental impact of diesel engine emissions. [ABSTRACT FROM AUTHOR]

This study aims to assess the factors influencing the continued usage of e-payment methods using the extended Technology Acceptance Model (TAM) in one of the Higher Education Institutions in Quezon City. The study utilized a quantitative technique, particularly an online survey, to gather data. The participants of the study have a total of 386 respondents. After the data collection, the study used the Statistical Package for the Social Sciences (SPSS) and Analysis of Movement Structure (AMOS) for data processing and construction of the Structural Equation Model (SEM). The model was used to determine the relationship between perceived usefulness, perceived ease of use, perceived security, perceived trust, behavioral intention to use, perceived satisfaction, responsiveness, reliability, and continued usage. The result shows that perceived security had a significant effect on perceived usefulness, responsiveness, reliability, and continued usage. Also, results showed that responsiveness had a positive influence on perceived usefulness. Moreover, perceived security, perceived usefulness, responsiveness, and reliability had a significant impact on the continued usage of e-payment methods among the students of a higher education institution. [ABSTRACT FROM AUTHOR]

The study examines engineering students' opinions on the effects of mandatory SIM card registration on data privacy and cybersecurity at a Higher Education Institute in the Philippines. This paper examines data privacy and cybersecurity concerns created by mandatory registration in the Philippines after outlining the present state of things and the regulation requirements. This paper used survey questionnaires and interviews to study engineering students' perceptions by investigating complex interrelationships and assessing observed and latent variables, Structural Equation Modeling was used to explain the occurrences. Findings show a substantial association between mandatory SIM card registration, data privacy, and cybersecurity. Results illustrate how crucial it is to monitor the negative consequences of this registration requirement on engineering students' digital security at universities, as there are numerous interrelated ways it might endanger their safety. [ABSTRACT FROM AUTHOR]

Through the optimization of business operations and the fulfillment of employee needs, an effective facility layout is essential to the success of manufacturing industrial output. It guarantees a smooth system operation, reduces wasted space, and maximizes resource efficiency. The goal of this study is to identify and address problems that lead to waste and reduce productivity by examining the facility layout of a shoe manufacturing company in Marikina. To accomplish this goal, the main causes of issues with the current facility design were found using the Ishikawa Diagram. Pro Model simulation software was likewise employed to examine and recommend a creative facility layout design that maximizes output and eliminates waste in the company's production process. The findings of the study indicated that lower output levels were significantly attributed to the current facility layout. As a result, a new facility plan was suggested, which led to a significant increase in production output of 16.67%. The shoe factory's manufacturing processes might be optimized, waste reduced, and efficiency increased by putting the suggested facility layout concept into practice. By highlighting the significance of facility layout optimization in boosting efficiency and overall operational performance, this work makes a significant contribution to the field of facility layout optimization. [ABSTRACT FROM AUTHOR]

This study aims to evaluate the long-term effectiveness of the Moving Average Convergence/Divergence (MACD) strategy in the Philippine stock market over a 12-year period. The MACD strategy is a widely used technical analysis tool that helps identify potential buy and sell signals based on the convergence and divergence of moving averages. By examining the historical performance of the Philippine stock market, this review provides insights into the profitability and reliability of the MACD strategy as an investment approach. The findings of this study contribute to the understanding of the MACD strategy's suitability for investors in the Philippine stock market and inform investment decisions based on its long-term performance. [ABSTRACT FROM AUTHOR]

This study focuses on analyzing customer load profiles and their impact on the electric distribution grid in the context of the COVID-19 pandemic in the Philippines. With the increasing number of Filipinos working from home, energy consumption has surged, making it crucial for electric distribution companies to classify customer profiles based on energy usage. In this paper, we collected residential data from a Philippine electric distribution company during the COVID-19 pandemic. The objective is to employ clustering methods, particularly the K-means algorithm, to group customer profiles and determine the optimal number of clusters using the multi-criteria model and elbow method. All simulation were performed using MATLAB platform. This study provides valuable insights for electric distribution companies in managing customer load profiles and optimizing the distribution grid amidst the pandemic. [ABSTRACT FROM AUTHOR]

In the current era, one of the key challenges in utilizing the Holt-Winters Method of forecasting is the accurate selection of smoothing coefficients. To address this issue, researchers have explored an optimization approach that aims to minimize forecasting errors, such as Mean Squared Errors (MSE) or Mean Absolute Deviation (MAD). This paper presents a novel methodology that employs a Genetic Algorithm (GA) to optimize the forecasting error by determining the optimal smoothing coefficients for the Holt-Winters Method. The objective value of the optimization problem is the Mean Square Error (MSE), which serves as a measure of the accuracy of the forecast. To evaluate the effectiveness of the proposed approach, actual test cases based on rice stock commercial commodity in the Philippines during the COVID-19 pandemic were utilized. The paper examines different variants of the Holt-Winters Method and assesses their suitability for capturing the characteristics of the rice stock data. The findings indicate that an additive seasonal effect is more appropriate for modeling the seasonal patterns observed in the rice stock data. Furthermore, the performance of the proposed GA-based approach is compared to other forecasting models to ascertain its efficacy. The results demonstrate promising outcomes, suggesting that the GA-based optimization approach for determining the smoothing coefficients in the Holt-Winters Method improves the accuracy of rice stock forecasting during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Distribution utilities are under pressure to attain high efficiency and minimize system loss and because to the current trend in distribution regulation, distribution transformer relocation, network splitting, incorporating distributed generation and altering secondary line and service drop size, are some of the different ways to reduce secondary system loss (DG). The genetic algorithm is used in this study to properly position and size rooftop solar photovoltaic (PV) generation systems, minimizing secondary system loss (GA). The technique relies on a single, ideal installation to prevent voltage profile issues. This study uses thorough modeling to take into consideration various loads, client attributes, and solar PV generation systems. Power flow based forward and backward sweep methodology was employed because of the unique characteristics of low voltage secondary distribution network. To demonstrate the robustness of the suggested strategy, secondary line features were used. [ABSTRACT FROM AUTHOR]

One important choice in manufacturing and service systems is the Facility Layout Problem (FLP). The proper architecture of the equipment is essential for achieving optimal use. Having the best facility configuration is crucial for lowering product costs and enhancing the efficiency of the manufacturing process. In order to reduce the cost of material handling, this research suggests a genetic approach for resolving the equal area facility layout problem. To answer the problem of facility layout, numerous optimizations and heuristic algorithms have been presented and published in the literature. The effectiveness of the suggested approach is assessed and contrasted with other methods. The proposed method's main benefit over competing strategies is that GA's coding is straightforward and it produces the majority of the optimal value compared to other approaches. [ABSTRACT FROM AUTHOR]

This work intends to combine technical analysis and the K-means clustering algorithm in portfolio selection. To choose the appropriate number of clusters, this study suggested the Elbow Method and Multi-Criteria Index Model from the most reputable Index, including Silhouette, Calinski-Harabasz, and Davies-Bouldin. We formed the clusters using the annual average risk data for the years 2019 and 2020, and we evaluated the stocks based on the technical analysis used by investors, such as Moving Average Convergence/Divergence (MACD) and Hybrid MACD with Arnaud Legoux Moving Average (ALMA). In the empirical experiment, we used the mean-variance portfolio optimization model to solve the risk minimization issue on a subset of the companies' shares in order to choose the most effective portfolio. The Philippine Stock Market lists 234 and 239 businesses for 2019 and 2020, respectively. All simulations were carried out using the MATLAB environment platform. The COVID-19 condition is significantly riskier than the pre-COVID-19 condition, according to the results. The MACD approach dominates the MACD-ALMA strategy in terms of the number of assets with a positive annual rate of return. [ABSTRACT FROM AUTHOR]

In many industries, profitability and productivity are ongoing challenges. To increase productivity and profitability, process automation, innovation in technology, and process optimization are all required. Due to the intricacy of the work and the high manpower demands, enterprises in the autoparts manufacturing industry face supply chain challenges. A methodical strategy used to examine the function and its cost is Value Analysis and Value Engineering (VA/VE). It identifies a non-value-adding element that impedes the production of high-quality and dependable goods or processes. In this study, the wire harness manufacturing company used the VA/VE strategy to process optimization. Based on process VA/VE and a strategy for predicting human error, the production processes were examined (THERP). It draws attention to the crucial tasks involved in making wire harnesses. 15% of the faults in the assessment's wire assembly area involved inverted wires and incorrect assembly. A suggestion to enhance the assembly line process was developed using the analysis's findings [ABSTRACT FROM AUTHOR]

Value Analysis is the study of the features of an item and their corresponding cost concerning its ability to perform a function or render a service, on the other hand, Value Engineering is a technique for product or process function, this technique will provide significant information to the overall function of the product and process. This also provides information about the reduction or elimination of cost for those functions that do not add value to the process or product. A systematic approach is applied to maintain the required quality and reliability of the product or process. The design of the stainless steel rack was based on manual and automated operation, similarly, the fabrication process will merely depend on the design. The design of the product and process were analyzed based on the six criteria: VA/VE on Material, VA/VE on Product, VA/VE on Process, Material Handling Cost, Waste/Emission, and Life Cycle Cost. The two designs were analyzed based on the Trade-Off Analysis based on the perspective of the designer and customer. The results of the design evaluation for stainless steel overall satisfy VA/VE approach. This study recommends 304 stainless racks which have higher corrosion resistance, good mechanical properties, and the least life cycle cost compared to 430 materials. Total Cost savings will be achieved using 304 stainless steel [ABSTRACT FROM AUTHOR]

Online stock trading platforms in the Philippines are widely used across the country which made investing convenient and available for most of all Filipinos. From these various platforms which were readily available and offered by some stock brokerage company in the Philippines, it became the new trend under the new normal, where it facilitated the fast growth of online trading be it in mobile or web-based platform. Throughout this global pandemic crisis/covid-19, many Filipinos are inclined to look for more opportunities to trade and invest in the stock market industry. This study aims to evaluate some online trading platforms based on the following qualitative criteria: costs, reliability, and security, account features, ease of use and customer service based on Satisfaction and Importance level. Future works of this study recommends the application of artificial intelligence that would include all the aforementioned criteria in a larger data. [ABSTRACT FROM AUTHOR]

In the Philippines, media broadcasting provides quality television production shows which includes game shows, variety shows, talk shows, television journalism, musicals, soap operas, and many others which utilizes different setting up techniques and methodologies on preparing the entirety of the production set. In this production setup, lights, audio, and broadcast team comprises the three major production teams. All production setups differ from one another because of different requirements for every production shows, resulting to unstandardized setup times. This study aims to optimize the remote production setup of a media broadcasting company in accordance to engineering standards and with consideration of trade-offs that is based on applicable constraints such as Material VA/VE, Product VA/VE, Process VA/VE, Ergonomics, Economic, and Productivity. There are two design options and Based on the over-all rankings of constraints, the second alternative design or the "Workstation with Flip-Up Monitor Rack". yielded a rank of 5 for Material VA/VE, 3.37 for Product VA/VE, 1.5323 for Process VA/VE, 4 for Ergonomics, 3 for Economic, and a governing rank of 5 for the Productivity constraint with an average overall rank of 3.65 [ABSTRACT FROM AUTHOR]

Wood-based furniture is a well-known leisure item in a household for it can be utilized or can be further improved to meet customer standards with wood as the main material. Value Analysis and Value Engineering is used to improve the process and lower the cost of the product but maintain its quality. The process VA/VE and Design of Facility is used to optimize the existing processes of a wood manufacturing company in the current application of the woodworking processes in the existing facility layout. This paper demonstrates the application of ProModel Simulation, process VA/VE and Design Layout in the existing processes of the woodworking company in the current application of the woodworking processes in the existing facility layout. In order to analyze the two designs of the recommended design of facility the researchers applied ProModel simulation. The results aim to satisfy the proposed VA/VE approach. Overall the existing layout was able to generate an increase of 80% in production. [ABSTRACT FROM AUTHOR]

Facility Layout Problem (FLP) is logic based combinatorial optimization problem. It is a meta-heuristic solution approach that gained significant attention to obtained optimal facility layout. This paper examines the convergence analysis by changing the crossover and mutation probability in an optimal facility layout. This algorithm is based on appropriate techniques that include multipoint swapped crossover and swap mutation operators. Two test cases were used for the implementations of the said technique and evaluate the robustness of the proposed method compared to other approaches in the literature. [ABSTRACT FROM AUTHOR]

The project aims to optimize the warehouse operations in one of the Logistics operations company in the Philippines by designing a warehouse facility layout, conducting time and motion study, and developing operational standards that will increase labor productivity. After a series of observations and interviews, this paper identified the factors affecting the low productivity of the operations in the Warehouse. The warehouse operations are composed of receiving, pick and pack, and the dispatch of items. Process and Layout designs were analyzed through the different Criterion: Economic, Health and Safety, Ergonomics, Environmental, and Productivity. The two designs were evaluated based on the Trade-Off analysis. The evaluation process of the design proposals summarizes the overall preference of the two designs, therefore satisfying the requirements of the client with the consideration of the different engineering standards. Designing the facility layout and process allows this study to observe, justify, and include provisions and standards to support the two alternative design proposals. This study recommends the use of the second design which is more economical, environmental friendly, and can contribute for a higher productivity. [ABSTRACT FROM AUTHOR]

Forecasting is a method used to determine the path of future trends. Historical data is significant for any forecasting technique. Organizations utilize forecasting to determine how to allocate their resources or plan for projected payments for an upcoming period of time. This is normally based on the projected demand for the goods and services they offer. This paper will used forecasting technique by integrating genetic algorithm for lambda assessment. This paper resulted that the GA lambda assessment approach will give better predictability. [ABSTRACT FROM AUTHOR]