Journal of Management Science & Engineering research最新文献

The Basic Layout of a Denim Textile Industry: A Basic Review 牛仔纺织工业的基本布局:基本回顾

Journal of Management Science & Engineering research Pub Date : 2021-12-30 DOI: 10.30564/jmser.v5i1.4068

Md. Touhidul Islam, Md. Nahid Hassan

{"title":"The Basic Layout of a Denim Textile Industry: A Basic Review","authors":"Md. Touhidul Islam, Md. Nahid Hassan","doi":"10.30564/jmser.v5i1.4068","DOIUrl":"https://doi.org/10.30564/jmser.v5i1.4068","url":null,"abstract":"Denim was produced in the city of Nîmes in France and was originally called the serge de Nîmes. The word denim is an English colloquialism of the French term: “denim.” Day by day Bangladesh denim sector very much developed and helps to increase productivity. Bangladesh have seen a significant increase in investing in denim fabric manufacturing, increasing the country’s production performance by reducing fabric dependence on imports. It is important due to its aspects of durability, and not easily torn which benefited physical laborers much. The government also plays a vital role in denim textile industry. This paper shows different section of denim textile industry such as: sewing section, cutting section, washing, IE and finishing department. The main aim of this paper is how to role all the section of denim textile industry. Textile education is insufficient without industry attachment, which bridges the gap between theoretical and practical aspects and acclimates students to the industrial world. We can gain about theoretical development on an industrial level from this attachment. We can understand more about the machines used in various departments, their technical specifications, characteristics, operating system, and so on, and we believe that without this type of industrial connection, it is impossible to obtain industry-based information about textile engineering adequately. The Industrial Attachment on Denim Manufacturing Technology was used to organize this study (sewing section, cutting, IE, washing section, CAD Section, and finishing department. Various operating procedures for the production of denim in the industry are presented in this paper. The technique and process of several procedures and processes are presented here such as machine specifications, manpower, maintenance, layout of the different section, dye processes and wet processes.","PeriodicalId":127326,"journal":{"name":"Journal of Management Science & Engineering research","volume":"8 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128072834","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: 1

Stabilization of Expansive Soil Using Biomedical Waste Incinerator Ash 生物医学垃圾焚烧炉灰稳定膨胀土的研究

Journal of Management Science & Engineering research Pub Date : 2021-09-29 DOI: 10.30564/jmser.v4i2.3707

Asefachew Belete Tseganeh, Henok Fikre Geberegziabher, A. Chala

{"title":"Stabilization of Expansive Soil Using Biomedical Waste Incinerator Ash","authors":"Asefachew Belete Tseganeh, Henok Fikre Geberegziabher, A. Chala","doi":"10.30564/jmser.v4i2.3707","DOIUrl":"https://doi.org/10.30564/jmser.v4i2.3707","url":null,"abstract":"Expansive soils undergo high volume change due to cyclic swelling and shrinkage behavior during the wet and dry seasons. Thus, such problematic soils should be completely avoided or properly treated when encountered as subgrade materials. In the present study, the biomedical waste incinerator ash and lime combination was proposed to stabilize expansive soil. Particle size analysis, Atterberg limits, free-swell, compaction, unconfined compression strength, and California bearing ratio tests were conducted on the natural soil and blended with 3%, 5%, 7%, 9%, and 11% biomedical waste incinerator ash (BWIA). The optimum content of BWIA was determined based on the free-swell test results. To further investigate the relative effectiveness of the stabilizer, 2% and 3% lime were also added to the optimum soil-BWIA mixture and UCS and CBR tests were also conducted. In addition, scanning electron microscopy (SEM) tests for representative stabilized samples were also conducted to examine the changes in microfabrics and structural arrangements due to bonding. The addition of BWIA has a promising effect on the index properties and strength of the expansive soil. The strength of the expansive soil significantly increased when it was blended with the optimum content of BWIA amended by 2% and 3% lime.","PeriodicalId":127326,"journal":{"name":"Journal of Management Science & Engineering research","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116325956","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: 3

A Study on an Extensive Hierarchical Model for Demand Forecasting of Automobile Components 汽车零部件需求预测的广义层次模型研究

Journal of Management Science & Engineering research Pub Date : 2021-08-24 DOI: 10.30564/jmser.v4i2.3261

C. Ibrahima, Jianwu Xue, Thierno Gueye

{"title":"A Study on an Extensive Hierarchical Model for Demand Forecasting of Automobile Components","authors":"C. Ibrahima, Jianwu Xue, Thierno Gueye","doi":"10.30564/jmser.v4i2.3261","DOIUrl":"https://doi.org/10.30564/jmser.v4i2.3261","url":null,"abstract":"Demand forecasting and big data analytics in supply chain management are gaining interest. This is attributed to the wide range of big data analytics in supply chain management, in addition to demand forecasting, and behavioral analysis. In this article, we studied the application of big data analytics forecasting in supply chain demand forecasting in the automotive parts industry to propose classifications of these applications, identify gaps, and provide ideas for future research. Algorithms will then be classified and then applied in supply chain management such as neural networks, k-nearest neighbors, time series forecasting, clustering, regression analysis, support vector regression and support vector machines. An extensive hierarchical model for short-term auto parts demand assessment was employed to avoid the shortcomings of the earlier models and to close the gap that regarded mainly a single time series. The concept of extensive relevance assessment was proposed, and subsequently methods to reflect the relevance of automotive demand factors were discussed. Using a wide range of skills, the factors and cofactors are expressed in the form of a correlation characteristic matrix to ensure the degree of influence of each factor on the demand for automotive components. Then, it is compared with the existing data and predicted the short-term historical data. The result proved the predictive error is less than 6%, which supports the validity of the prediction method. This research offers the basis for the macroeconomic regulation of the government and the production of auto parts manufacturers.","PeriodicalId":127326,"journal":{"name":"Journal of Management Science & Engineering research","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125606596","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

Identification of the Profile of Vulnerable Population to Elaborate Efficient Employment Strategy: Proposition of a Quantitative-creative Approach 识别弱势群体概况以制定有效的就业战略:提出一种量化创新方法

Journal of Management Science & Engineering research Pub Date : 2021-08-04 DOI: 10.30564/jmser.v4i2.3336

Jênifer Ribeiro Dona, I. C. Paula, Alceu Terra do Nascimento, A. C. Gularte

{"title":"Identification of the Profile of Vulnerable Population to Elaborate Efficient Employment Strategy: Proposition of a Quantitative-creative Approach","authors":"Jênifer Ribeiro Dona, I. C. Paula, Alceu Terra do Nascimento, A. C. Gularte","doi":"10.30564/jmser.v4i2.3336","DOIUrl":"https://doi.org/10.30564/jmser.v4i2.3336","url":null,"abstract":"Brazilian public managers have been structuring and updating policies to support workers’ employment and income strategies. However, when the vulnerable individual has social, emotional, or technical limitations, success in this operation becomes uncertain. This research aim was to propose a methodology to identify profiles in vulnerable populations, viewing to promote the efficient elaboration of employment and income strategies. The unit of analysis was vulnerable population of waste pickers, in a large city from South Brazil, in the scope of a municipal program named \"All of us are Porto Alegre\". A literature review allowed the identification of tools from marketing, economy and design adequate to profile analysis. A workshop with social educators responsible for giving support to the individuals. Insights from workshop and the literature allowed the proposition of a methodology including cluster analysis and the creative tool named personas. The methodological approach suggests it is adequate in confirming the differences in profiles. The theoretical contribution lies in the use of quantitative-creativity tools to support policymaking. The practical contribution is to provide consistent information for governmental decision-making at the labor access market.","PeriodicalId":127326,"journal":{"name":"Journal of Management Science & Engineering research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131924451","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: 1

Inventory Management and Demand Forecasting Improvement of a Forecasting Model Based on Artificial Neural Networks 基于人工神经网络的库存管理与需求预测模型改进

Journal of Management Science & Engineering research Pub Date : 2021-07-05 DOI: 10.30564/jmser.v4i2.3242

S. Cisse

{"title":"Inventory Management and Demand Forecasting Improvement of a Forecasting Model Based on Artificial Neural Networks","authors":"S. Cisse","doi":"10.30564/jmser.v4i2.3242","DOIUrl":"https://doi.org/10.30564/jmser.v4i2.3242","url":null,"abstract":"Forecasting is predicting or estimating a future event or trend. Supply chains have been constantly growing in most countries ever since the industrial revolution of the 18th century. As the competitiveness between supply chains intensifies day by day, companies are shifting their focus to predictive analytics techniques to minimize costs and boost productivity and profits. Excessive inventory (overstock) and stock outs are very significant issues for suppliers. Excessive inventory levels can lead to loss of revenue because the company's capital is tied up in excess inventory. Excess inventory can also lead to increased storage, insurance costs and labor as well as lower and degraded quality based on the nature of the product. Shortages or out of stock can lead to lost sales and a decline in customer contentment and loyalty to the store. If clients are unable to find the right products on the shelves, they may switch to another vendor or purchase alternative items. Demand forecasting is valuable for planning, scheduling and improving the coordination of all supply chain activities. This paper discusses the use of neural networks for seasonal time series forecasting. Our objective is to evaluate the contribution of the correct choice of the transfer function by proposing a new form of the transfer function to improve the quality of the forecast.","PeriodicalId":127326,"journal":{"name":"Journal of Management Science & Engineering research","volume":"90 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116301237","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

Managing New PV Plant Connection to Available Grids to Stay within Standard Limits with a Case Study 管理新的光伏电站连接到可用的电网，以保持在标准范围内的案例研究

Journal of Management Science & Engineering research Pub Date : 2021-07-05 DOI: 10.30564/JMSER.V4I2.3300

E. Najafi, A. Mirzaei, M. Rezvanyvardom, Mahdi Zolfaghar

引用次数: 0

Impacts and Possible Responses Related to COVID-19 in the Textile and Apparel Industry of Bangladesh 2019冠状病毒病对孟加拉国纺织服装业的影响及可能的应对措施

Journal of Management Science & Engineering research Pub Date : 2021-06-22 DOI: 10.30564/jmser.v4i2.3166

Md. Tareque Rahaman, Tarekul Islam

{"title":"Impacts and Possible Responses Related to COVID-19 in the Textile and Apparel Industry of Bangladesh","authors":"Md. Tareque Rahaman, Tarekul Islam","doi":"10.30564/jmser.v4i2.3166","DOIUrl":"https://doi.org/10.30564/jmser.v4i2.3166","url":null,"abstract":"This research work was intended to analyze the unleashed issues related to apparel trade during COVID-19 pandemic & made an attempt to find the best possible responses to uphold marketing campaigns during & after the pandemic situation. Apparel industries in Asia, the largest global hub of both the textile & apparel import-export trade have been severally damaged by the COVID-19. Over the last one year, the global community had already realized the fact that how pandemic situation disrupted the supply chain management of textile, apparel & fashion manufacturing industries throughout the world. Bangladesh, one of the top ranked garments exporter countries have been facing the burning bridges, due to the scarcity of raw materials & gradual cancelation export orders. The contribution of the apparel industry is more significant for the socio-economic growth of a 3rd world countries like Bangladesh, just because apparel contributes almost 84% of its total export income with the involvement of 4.5 million people approximately. The following research paper conveys a three-fold story. In the very beginning portion, there are some reviews & analysis of the overall scenarios of the COVID-19 pandemic with presence of several business reports, academic journals, market research, manufactures' opinions & stakeholders' strategies. The second phase of the research work forecasts the possible responses need to be projected during & after the pandemic situation. Finally, this study predicts an ideal foot print to cope up with similar sort of situations in future. ","PeriodicalId":127326,"journal":{"name":"Journal of Management Science & Engineering research","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132224245","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: 2

Online Shopping: Antecedents of Attitude, Intention and Use 网上购物:态度、意图和使用的前因

Journal of Management Science & Engineering research Pub Date : 2021-02-09 DOI: 10.30564/JMSER.V3I2.2613

Schneider Wilnei Aldir, Tezza Rafael

引用次数: 5

Research on the Prediction of Quay Crane Resource Hour based on Ensemble Learning 基于集成学习的码头起重机资源小时数预测研究

Journal of Management Science & Engineering research Pub Date : 2021-02-09 DOI: 10.30564/JMSER.V3I2.2689

Gaosheng Wang, Yi Ding

引用次数: 0

Clustering Analysis of User Loyalty Based on K-means 基于k均值的用户忠诚度聚类分析

Journal of Management Science & Engineering research Pub Date : 2020-06-12 DOI: 10.30564/jmser.v2i2.1851

Qiu Fang, Zhiming Li, Mengtian Leng, Jincheng Wu, Zhen Wang

引用次数: 0