The Basic Layout of a Denim Textile Industry: A Basic Review

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.

Stabilization of Expansive Soil Using Biomedical Waste Incinerator Ash

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.

A Study on an Extensive Hierarchical Model for Demand Forecasting of Automobile Components

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.

Identification of the Profile of Vulnerable Population to Elaborate Efficient Employment Strategy: Proposition of a Quantitative-creative Approach

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.

Managing new PV plant connection to available grids to stay within standard limits with a case study

PV plants are increasing all over the world and they are becoming a distinct part of electric grids. Due to abundance of solar irradiation and almost constant amount of it in certain geographical latitudes, selection of proper capacity of PV plants depends mostly on available places for the site. in this paper, important measures for safe connection of a PV plant in terms of voltage requirements are addressed and several guidelines are introduced for this purpose. In addition, simulation results are included to prove some of the mentioned suggestions. a general algorithm is finally proposed to show the directions for safe connection of PV plants.

Inventory management and demand forecasting Improvement of a forecasting model based on artificial neural networks

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.

Impacts and Possible Responses Related to COVID-19 in the Textile and Apparel Industry of Bangladesh

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.

Predictive Model to Evaluate Accommodation of Conflict Management Strategies and Board Performance of Oil and Gas Companies in Port Harcourt

This paper evaluates accommodation of conflict management strategies and board performances in oil and gas sector. The study detail the reflection of effectiveness, efficiency and productivity as the answer to thorough effectiveness in accommodation of conflict management in oil and gas sector, these parameters in the system express their efficacy on conflict management in these multinationals, this implies that for thorough efficiency, these variables must work simultaneously for effective and efficient in structural organization that can be a leading multinational sector in oil and gas environment. The study observed Linearized result from graphical representation explaining predominant lower efficiency and little higher efficiency in accommodation of conflict management in oil and gas companies. These experiences from the study monitor the system from generated simulation values that describe the growth rates in exponential phase of accommodation conflict strategic management. Despite exponential phase the results experienced lower parameters, when comparing on it variations showing its poor efficiency as observed in the study. Few periods observed higher effective accommodation on conflict strategic management. The developed model stimulation values were subjected to validation and both parameters generated favourable fits correlation, the study expressed the deficiency on accommodation of conflict management strategy thus developed models that can monitor the fluctuation and progressive state of accommodation conflict management strategy, it defines the reflection of other parameters that express the behaviour of the system in terms of conceptual approach to monitor these type of strategic management in oil and gas companies.

Scene Marketing in Digital Era

This paper describes the trend of marketing reform under the Scene marketing mode from three aspects of publicity, interaction and experience. Through the analysis of the technical means adopted in the case and the problems still existing in the scene marketing, some solutions are put forward. At the end of the paper, the conclusion is drawn that the new model of scene marketing plays an important role in broadening marketing ideas and marketing methods.

Washing Defects and Remedial actions of Denim Garments and Statistical Review of Denim Sectors in Emerging Economy

This paper aimed to identify the washing defects of denim garments and the remedies for these washing defects of denim garments in Bangladesh. The other purpose of this paper is to explain how such errors are related to the waste, production, and production costs of denim clothing. It also provides a statistical review of the denim sector in Bangladesh as compared to other countries. This paper is conveyed based on theoretical and statistical. It appears washing defects of denim garment, and their remedial actions and reveals the effect of washing defects on wastage, production, and production cost of denim garments. This research paper shows more washing defects of denim garments in Bangladesh. The statistical review displays that Bangladesh is exporting denim products near 200 million pieces every year over the world and ranks as the second-largest denim garments exporter after China. By studying this paper, the manufacturer of denim garments in Bangladesh and other countries will be conscious of these defects and able to minimize these defects that will help improve the economy all over the world.