International Journal of Advanced Engineering Research and Applications最新文献_第4页

Implementation of Lean Manufacturing to Improve Air Handling Unit Coil Manufacturing in Saudi Air Conditioning Manufacturing Company (SAMCO) 沙特空调制造公司(SAMCO)实施精益制造改进空气处理机组盘管制造

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-10-31 DOI: 10.46593/ijaera.2020.v06i06.003

Salman A. Alsayed

{"title":"Implementation of Lean Manufacturing to Improve Air Handling Unit Coil Manufacturing in Saudi Air Conditioning Manufacturing Company (SAMCO)","authors":"Salman A. Alsayed","doi":"10.46593/ijaera.2020.v06i06.003","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i06.003","url":null,"abstract":"This report aims to improve the production operations of the coils shop of air handling units (AHU) at Saudi Air Conditioning Manufacturing Company (SAMCO) by applying lean manufacturing strategy. The coils shop of AHU experienced several issues which impact negatively on its performance and increase the non-added values. For instance, it suffers from significant amount of scrap, low machines utilization, extra manpower, long machine set up time, and the absence of process safety system. In this report, the required data were collected by three ways; observation, recording and conducting the interviews with the related people. These data were analyzed by a wide range of tools, which are used to apply lean manufacturing such as, value stream mapping, 5S, work standardized, manual handling assessment chart, snook table, one-dimensional cutting optimizer, and mistake proofing. As a result, a significant reduction in the overall cost of coils shops production processes were obtained. For instance, the average machines set up time was reduced by 18 %, number of set up per shift was reduced by 20.8 %, the number of operators was reduced by 26.3 %, the quality of the product was increased and the safety of the processes was enhanced. It is worthy to note the amount of the scrap was dropped by approximately 71 %.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132654519","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}

引用次数: 0

Long Term Electricity Demand Forecasting for Saudi Arabia 沙特阿拉伯长期电力需求预测

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-10-31 DOI: 10.46593/ijaera.2020.v06i06.002

Fares Ramzi, M. Alidrisi

{"title":"Long Term Electricity Demand Forecasting for Saudi Arabia","authors":"Fares Ramzi, M. Alidrisi","doi":"10.46593/ijaera.2020.v06i06.002","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i06.002","url":null,"abstract":"This research is about electricity demand forecasting in Saudi Arabia till the year 2025. The data on demand were collected from King Abdullah Petroleum Studies and Research Center, for the four regions in Saudi Arabia namely, western, central, eastern, and southern regions. The data pattern for the regions were studied and all showed monthly seasonality with slight variations. After that three forecasting methods were applied starting with the time series decomposition method with a multiplicative model, The Box-Jenkins methodology (ARIMA) and Winter’s triple smoothing method to find the forecast of electricity demand for each region. Then, those forecasts were combined to obtain the total demand of electricity for Saudi Arabia. The forecast for the 96 months from Jan. 2018 until Dec. 2025 were obtained which showed that the demand will continue to grow for all regions with a peak at the summer season. An analysis of electricity demand factors was also studied using fishbone and regression analysis to identify the most important factors affecting electricity demand in Saudi Arabia, which were found to be: populations, number of subscribers, number of factories, CO2 emissions, and air temperature. Comparison of the forecasting errors measurements indicates that, in general , the time series decomposition method is the best model, however, a combined model was also generated to optimize accuracy, which shows that peak demand in August 2025 will be 63.30115 GW.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127603089","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}

引用次数: 0

Study 8#x38; Analysis of The Most Influential Event and Risk in The Workplace Environment at King Abdul-Aziz International Airport 研究8 # x38;阿卜杜勒-阿齐兹国王国际机场工作环境最具影响力事件及风险分析

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-09-30 DOI: 10.46593/ijaera.2020.v06i05.001

Hani Ahmed Al-Muallem, Mohamed A. Zytoon

引用次数: 0

Sensitivity Analysis of COVID-19 Transmission Dynamics COVID-19传播动力学敏感性分析

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-08-31 DOI: 10.46593/ijaera.2020.v06i04.001

G. Bhuju, G. R. Phaijoo, D. B. Gurung

引用次数: 1

Investigating the Effect of Cutting Parameters on Surface Roughness and Flank Wear in the Interrupted Hard Turning of Hardened SKD 11 Steel using High CBN Inserts 高CBN刀片淬硬skd11钢中断硬车削时切削参数对表面粗糙度和侧面磨损影响的研究

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-07-31 DOI: 10.46593/ijaera.2020.v06i03.001

Vi Hoang, Minh Tuan Ngo, Q. M. Do

{"title":"Investigating the Effect of Cutting Parameters on Surface Roughness and Flank Wear in the Interrupted Hard Turning of Hardened SKD 11 Steel using High CBN Inserts","authors":"Vi Hoang, Minh Tuan Ngo, Q. M. Do","doi":"10.46593/ijaera.2020.v06i03.001","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i03.001","url":null,"abstract":"Hard turning is a potential machining process to replace for grinding process due to large advantages such as material removal rate, good surface integrity, and friendly environment. This process is also used to process discontinuous surface parts. This study focuses on analyzing the effect of cutting parameters on surface roughness and flank wear after interrupted hard turning of SKD11 steel using CBN inserts. The effect of cutting parameters and interacted between them on the surface roughness and the flank wear were analyzed by using the full factorial design having the central trials. The results investigated that the feed rate is the most significant parameter affecting on the surface roughness in the machining process and the cutting speed strongly affects on the flank wear in the interrupted hard turning of SKD11 steel using high CBN inserts. The results of ANOVA analysis for the surface roughness and the flank wear indicated that the need to investigate and use the curve model to describe the effect of the cutting parameters on the surface roughness and the flank wear.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116292388","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}

引用次数: 0

Numerical simulations on the aerodynamics of the Ahmed body at different slant angles 不同斜角下艾哈迈德体空气动力学数值模拟

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-07-31 DOI: 10.46593/ijaera.2020.v06i03.002

G. Kumar, Chanfiou Ahmed Mboreha, Yahya Al-fakih

引用次数: 0

Optimization of the effects of process parameters for tensile strength in MIG Welded Joints: A critical Review 工艺参数对MIG焊接接头抗拉强度影响的优化研究综述

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-06-30 DOI: 10.46593/ijaera.2020.v06i02.003

A. Bhatia, Anmol Lakhwan, Ankita Jain

引用次数: 0

Automatic Solar Tracking System: An Overview of Design and Fabrication 太阳能自动跟踪系统的设计与制造综述

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-06-30 DOI: 10.46593/ijaera.2020.v06i02.002

N. Kumar, Anmol Bhatia

引用次数: 0

Developing the Performance of Business Incubators to Increase the Percentage of the Contribution of SMEs in the Saudi GDP to Achieve Vision 2030 发展企业孵化器的绩效，提高中小企业对沙特GDP的贡献百分比，以实现2030年愿景

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-06-30 DOI: 10.46593/ijaera.2020.v06i02.001

Faisal Aljuhani, Mohammed A. Balubaid

{"title":"Developing the Performance of Business Incubators to Increase the Percentage of the Contribution of SMEs in the Saudi GDP to Achieve Vision 2030","authors":"Faisal Aljuhani, Mohammed A. Balubaid","doi":"10.46593/ijaera.2020.v06i02.001","DOIUrl":"https://doi.org/10.46593/ijaera.2020.v06i02.001","url":null,"abstract":"Recently, Small 8 Medium Enterprises (SMEs) have been an important pillar for the growth and revitalization of the economy. However, the small business failure rate is larger than the rate of establishment. Business incubators (BIs) have been structured to support new ventures in order to raise the chance of success. This paper aims to discuss the impact of BIs on the performance of entrepreneurs and the national economy through forecasting the contribution of SMEs and private sectors in the Saudi Gross domestic product (GDP) in 2030 based on the data of General Authority of Statistics in Saudi Arabia from 2016 to 2019. Vision 2030 includes the specific targets that the government will establish more effective BIs to increase the contribution of SMEs in the total GDP from 20% to become 35 percent and increase the contribution of private sectors from 40% to 65%. It argues that although the forecasting contribution of SMEs and the private sector in the total Saudi GDP can surpass the targets of Vision 2030 by 39% and 67% respectively, the contribution of BIs in these goals is insignificant according to studies published in Saudi Arabia but it suggests that BIs may have a positive impact on the national economy in terms of increasing the number of jobs and GDP.","PeriodicalId":322509,"journal":{"name":"International Journal of Advanced Engineering Research and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132491702","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}

引用次数: 0

Significance of Big Data Analytics in Higher Education Institutions of Saudi Arabia 大数据分析在沙特高等教育中的意义

International Journal of Advanced Engineering Research and Applications Pub Date : 2020-05-31 DOI: 10.46593/ijaera.2020.v06i01.002

Tareq H. Aljahdali, Abdullah S. AL-Malaise AL-Ghamdi

引用次数: 1