Journal of Applied Research in Technology & Engineering最新文献

{"title":"Modelling and Optimization of Residential Electricity Load under Stochastic Demand","authors":"K. Mubiru","doi":"10.4995/jarte.2024.20789","DOIUrl":"https://doi.org/10.4995/jarte.2024.20789","url":null,"abstract":"The paper considers a modelling framework for a set of households in residential areas; using electricity as a form of energy for domestic consumption. Considering the demand and availability of units for electricity consumption, optimal decisions for electricity load allocation are paramount to sustain energy management. We formulate this problem as a stochastic decision-making process model where electricity demand is characterized by Markovian demand. The loading and operational framework is governed by the demand and supply phenomena; where shortage costs are realized when demand exceeds supply. Empirical data for electricity consumption was collected from fifty households in two residential areas within the suburbs of Kampala in Uganda. Data collection was made at hourly intervals over a period of four months. The major problem focussed on determining an optimal electricity loading decision in order to minimize consumption costs as demand changes from one state to another. Considering a multi-period planning horizon, an optimal decision was determined for loading or not loading additional electricity units using Markov decision process approach. The model was tested; whose results demonstrated the existence of an optimal state-dependent decision and consumption costs considering the case study used in this study. The proposed model can be cost-effective for managers in the electricity industry. Improved efficiency and utilization of resources for the distribution systems of electricity to residential areas was realised; with subsequent enhanced reliability of service to essential customers of the energy market.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"68 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141683298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association rule mining algorithm implementation for e-commerce in the retail sector","authors":"Namatullah Wahidi, Rita Ismailova","doi":"10.4995/jarte.2024.20753","DOIUrl":"https://doi.org/10.4995/jarte.2024.20753","url":null,"abstract":"The growth of online trading platforms and the development of market technology have forced businesses to take part in the analysis of client behavior. Therefore, this research aims to analyze customer behavior in the Kyrgyz Republic to enhance supplier's revenue, service quality, and customer satisfaction. This data was analyzed using the apriori algorithm. Results generated 118 rules which revealed strong connections between items and showed up to 61.06% relationship between the consumption of products, suggesting a connection among the considered items. Thus, the association rule highlights the significance of association rule mining in uncovering valuable insights within sales transaction data. These insights can inform targeted marketing efforts, inventory management, and the enhancement of customer experiences and optimize business strategies to meet customer preferences, ultimately fostering growth and competitiveness in the retail sector.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"17 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of ict on the performance of sustainable logistics","authors":"Muhammad Ahmed Kalwar","doi":"10.4995/jarte.2024.21122","DOIUrl":"https://doi.org/10.4995/jarte.2024.21122","url":null,"abstract":"The environment of the planet Earth has been the concern of the governments, academia and researchers so the impacts of various factors on it have become the prime focus so that the things that damage it can be investigated and the environmental damage can be minimised accordingly. Logistics and transport is the sector which is responsible for the greater percentage of greenhouse gases and carbon emissions. The transport sector has been initiated towards the sustainable side because in many countries public transport is being operated on electricity and the manufacturers have also introduced electric vehicles for the citizens to drive and travel. Freight transport still is a problem because of its carbon footprint; therefore technological advancement has made it easier to minimize the carbon emission generated from freight transport and logistics with the advent of information communication technology (ICT) devices. With the help of the Internet of Things (IoT), geographical positioning systems, and sensors, it has become easier to monitor the routes of vehicles their fuel consumption and the optimization of routes as well. The various innovations can potentially help the logistics sector to increase the overall efficiency of the sector. Minimizing the carbon footprint in the logistics sector makes it green logistics. In the present research paper, the authors have conducted a literature review by which they intended to highlight the impacts of ICT on green logistics. It was indicated by the results that ICT positively influences the performance of green logistics but at the same time, it was concluded that poor quality of logistics` infrastructure, service quality of logistics and cargo transportation timeliness consume a greater quantity of fossil fuels and therefore cause an increased carbon emissions which negatively impacts human health and the environment of the planet.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"60 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140721738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CFD-based investigation of turbulent flow behavior in 90-deg pipe bends","authors":"Rilwan Kayode Apalowo, C. J. Akisin","doi":"10.4995/jarte.2024.20665","DOIUrl":"https://doi.org/10.4995/jarte.2024.20665","url":null,"abstract":"This work investigated the influence of bend curvature on the parameters of turbulent flow through a 90° pipe bend using the numerical CFD method, implemented in ANSYS Fluent. The numerical predictions were validated to be in good agreement with existing experimental measurements. The turbulence of the secondary motion was found to be generally stronger at the outer end of the pipe bend, with the most adverse effect recorded at about 45° along the bend. It was also observed that the RMS velocity is larger near the wall, especially at the outer wall region, and it is highest at 45° due to an increase in the circulation of dean vortices, indicating a turbulence generation. In addition, the RMS velocity increases downstream due to an additional mean strain resulting from the creation of secondary flow as the flow travels through the bend. Furthermore, larger static pressure and turbulent viscosity were observed at the outer wall due to the flow deceleration and swirling. Therefore, it can be established that the bend curvature affects the stability of the flow field inside a pipe bend.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140221982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Stochastic Goal-Based Economic Order Quantity Model for Dairy Products","authors":"K. Mubiru, Maureen N. Ssempijja","doi":"10.4995/jarte.2024.19859","DOIUrl":"https://doi.org/10.4995/jarte.2024.19859","url":null,"abstract":"Resilient efforts are still sought to optimize the inventory of dairy products under demand uncertainty. Several industries operate under uncertainties that severely affect company performance. In this paper, a multi-objective goal programming model is proposed to optimize the economic order quantity of dairy products under stochastic demand. Adopting a Markov chain approach, the model initially defines the demand transition matrix, inventory cost matrix, objective function, priorities, and goal constraints of dairy products. The model seeks to minimize the deviation variables from the targeted economic order quantity and total inventory costs of dairy products over a finite period planning horizon. The sum of deviations is minimized so that the actual economic order quantity and inventory costs meet the targeted levels of dairy products. Using the simplex method, an analytical solution is obtained and a numerical example is presented for illustration; demonstrating the overachievement or underachievement of the targeted economic order quantity and inventory costs of dairy products. Results indicate how priority-based goal programming solution is sensitive to the highest priority to be achieved. The proposed model can be effective where the relevant economic order quantity and inventory costs can be prioritized if necessary.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140222010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of ergonomics and lean manufacturing principles to improve work environment and performance of soccer ball production line","authors":"Farah Hussain, Muhammad Uzair, Muhammad Awais Islam, Muhammad Shafiq","doi":"10.4995/jarte.2024.20075","DOIUrl":"https://doi.org/10.4995/jarte.2024.20075","url":null,"abstract":"Value addition and performance improvement are important to deal with increasing local and global market competitiveness. Interventions and automation based on Lean and ergonomics principles have strong influence on performance improvement of the production systems. This study focuses on implementation of lean manufacturing and ergonomics principles to improve work environment and performance of the soccer manufacturing production line. Work visualization and value stream mapping (VSM) techniques were employed to identify the opportunities for improvements. Time of value and non-value-added activities is recorded using time study method. Working postures and associated risk factors are evaluated using Rapid Entire Body Assessment (REBA) method. Lean manufacturing principles are employed to minimize wastes and non-value added activities. Similarly, improvements in work environment are made through ergonomics interventions. Various models comprising different levels of lean and ergonomics interventions were evaluated through simulation before actual implementation. The results of the finalized model in terms of decrease in cycle time (8.64 to 7.018 seconds), increase in daily production (20505 to 24176 soccer balls), and improved work environment are evident of performance improvements in all aspects. The integration of lean and ergonomics principles leads to improve the productivity and working environment for workers in soccer ball manufacturing industry.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139278672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automation of production plan generating workbook at leather footwear company of Lahore Pakistan by using VBA in Microsoft Excel","authors":"Muhammad Ahmed Kalwar, Asif Nawaz Wassan, Muhammad Ali Khan, Muzammil Hussain Wadho, S. Shaikh, H. B. Marri","doi":"10.4995/jarte.2023.18941","DOIUrl":"https://doi.org/10.4995/jarte.2023.18941","url":null,"abstract":"In Small and Medium Enterprises (SMEs), all the reporting tasks are carried out in Microsoft Excel. The employees spend all of their time working on the reports and in the case of an error in the report; a tremendous amount of their time is incurred on the detection of that error. At one of the leather footwear companies in Lahore, Pakistan, report automation was carried out using visual basic for Application (VBA) in Microsoft Excel. The purpose of automation was to increase the reporting efficiency and minimize the chance of error. The authors automated the generation of production plan papers, which used to take 3.11 minutes to be made per plan paper. 3.11 minutes were required just for a single order of only one footwear article). This research provides the framework for the automation of manual reporting in Microsoft Excel. This automation was conducted by using VBA in Microsoft Excel. In the VBA code, the loops and conditional statements were used to program the manual activities to be performed in the report. Initially, the manual method was demonstrated in detail then way of report automation was the focus of discussion. The comparison of both methods was conducted in terms of time utilization. The manual method encompassed a series of activities whereas; the automated template included the buttons with few clicks. A time study of report-making by manual and automated method was conducted which indicated that the automated method was 1.36 minutes faster than the manual method. This research contributes to the provision of a detailed framework, with the help of which any manual work in Microsoft Excel can be automated. It was also indicated by this research that SMEs who cannot afford the implementation of Enterprise Resource Planning (ERP) software, have the option of VBA in Microsoft Excel by which they can enhance their reporting efficiency and office employees` productivity.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance evolution for sentiment classification using machine learning algorithm","authors":"Faisal Hassan, Naseem Afzal Qureshi, Muhammad Zohaib Khan, Muhammad Ali Khan, Abdul Salam Soomro, Aisha Imroz, H. B. Marri","doi":"10.4995/jarte.2023.19306","DOIUrl":"https://doi.org/10.4995/jarte.2023.19306","url":null,"abstract":"Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems to adapt to their environment based on past experiences. Machine Learning (ML) and Natural Language Processing (NLP) techniques are commonly used in sentiment analysis and Information Retrieval Techniques (IRT). This study supports the use of ML approaches, such as K-Means, to produce accurate outcomes in clustering and classification approaches. The main objective of this research is to explore the methods for sentiment classification and Information Retrieval Techniques (IRT). So, a combination of different machine learning algorithms is used with a dataset from amazon unlocked mobile reviews and telecom tweets to achieve better accuracy as it is crucial to consider the previous predictions related to sentiment classification and IRT. The datasets consist of user reviews ratings and algorithms utilized consist of K-Means Clustering algorithm, Logistic Regression (LR), Random Forest (RF), and Decision Tree (DT) algorithms. The amalgamation of each algorithm with the K-Means resulted in high levels of accuracy. Specifically, the K-Means combined with Logistic Regression (LR) yielded an accuracy rate of 99.98%. Similarly, the K-Means integrated with Random Forest (RF) resulted in an accuracy of 99.906%. Lastly, when the K-Means was merged with the Decision Tree (DT) Algorithm, the accuracy obtained was 99.83%.We exhibited that we could foresee efficient, effective, and accurate outcomes.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115396044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IoT, machine learning and photogrammetry in small hydropower towards energy and digital transition: potential energy and viability analyses","authors":"H. Ramos, Ó. E. Coronado-Hernández","doi":"10.4995/jarte.2023.19510","DOIUrl":"https://doi.org/10.4995/jarte.2023.19510","url":null,"abstract":"This research aims to evaluate and put into practise the design of a small hydropower plant on a stream at São Vicente, in Madeira Island, supported by internet of things (IoT). The photogrammetry technique is also used with a comprehensive digital transformation, in which new concepts, methods and models, such as machine learning (ML), and big data analytics play an important role due to the huge availability time series that have to be exploited in hydropower design studies. Nowadays, digitalization and massive data availability are imposing new ways to address many of the current challenges associated with the energy and digital transition. This research is based on a simple small hydropower design, to present an integrated methodology using new methods assigned by an internet protocol system, which includes the development of different steps and components supported by GIS, photogrammetry and the use of advanced tools, with the support of a drone survey with internet communication (IoT) that allow the generation of experimentally-based estimates in situ characterization, the volumetric flow, the hydrological data treatment, the hydraulic calculations and economic estimations for a real hydro project. Therefore, hydrological variables, hydraulic analysis and topographical survey are carried out in the IoT application platform supported by new tools and methods to optimise the size of hydraulic structures, estimate the performance and potential of the hydropower plant towards the best solution for energy and digital transition. Firstly, the data-base for the all study and posterior sizing of the case study of hydropower plant are defined and then the corresponding analyses and results are presented. Then, the cost estimation for the construction, maintenance and operation of the selected elements that compose the hydropower topology are determined, as well as the respective economic balance, considering the annual energy production. In addition, both economic and environmental return on investment is discussed. Finally, an analysis to equate the cost estimates and the respective benefits of hydropower generation using this new approach applicability is stablished, taking into account some economic indicators to determine the profitability of the project.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131139387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of lean practices in small and medium garment manufacturing companies in South-Western Nigeria","authors":"O. S. Bamisaye, O. Oroye, P. Farayibi, A. D. Adeitan, S. Agbo","doi":"10.4995/jarte.2023.18999","DOIUrl":"https://doi.org/10.4995/jarte.2023.18999","url":null,"abstract":"The Nigerian garment industry has significantly contributed to the Gross Domestic Product of the country. However, this multibillion naira, small and medium scale enterprises have a higher potential to generate huge revenue, provided lean manufacturing concepts are adopted. In this study, the awareness level and the adoption of lean concepts were assessed using a survey technique. In the survey, 40 complete responses were received by administering 60 copies of a structured questionnaire based on five-point Likert scale. By analyzing the responses using descriptive statistics and mean item score, it was deduced that teamwork is the most predominant lean concept that is currently been practiced in the South-Western Nigeria garment industry with the highest mean score of 3.63. Just-in-time supply, workforce commitment, daily schedule and product design have witnessed the influence of the implementation of lean practices. In the garment industry, the practice of the few lean concepts resulted in a significant improvement in the quality of the garments produced. However, a lack of understanding on how to implement the lean concepts has been a major barrier in this industry. Hence, comprehensive trainings, seminars and workshops for the key players in the industry are proposed to increase the knowledge and adoption of lean concepts.","PeriodicalId":231037,"journal":{"name":"Journal of Applied Research in Technology & Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131669235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}