Xiao-Guang Yue
Sustainability, environmental efficiency, and circular economy are key aspects of the product life cycle and necessitate ongoing development. Furthermore, the ongoing pandemic has prompted businesses to reassess their recovery and adaptation plans in light of the "New Normal." As a result, businesses are attempting to better position their facilities in the face of these new challenges, the most important of which is establishing how to build competitive advantages in the Industry 4.0 era. By combining people, processes, and machines, artificial intelligence, machine learning, current computer technologies, automation, robotics, the internet of things, and additive manufacturing can all contribute to optimise the product life cycle. Furthermore, researchers and industry experts throughout the world have been working to advance life cycle engineering through the use of numerous algorithms, techniques, data models, improved materials, and other ways. Composite materials, such as carbon fibre reinforced epoxies and bio-composites, can, for example, lessen a product's environmental effect over time.
Wintana Solomun, Berihun Negash*
Proper lay out gives relief a lot of financial and non financial activates for both users and suppliers. Thus, the propose of this research is to improve the productivity of sewing production line through the layout rearrangement. So that, time, energy and less production gets crashed. The production losing and time consuming due to un proper lay out leads to company unprofitable and customer disaffection. The workers took high energy and time consuming to produce the existing less production because of un proper lay out. Thus, the study was conducted to improve productivities of the company by reducing time consuming process and factors affecting production rate of the company using data from DBL( Bangladesh owned production) manufacturing plc to produce proper lay out. The researcher’s analyzed existing lay out and new lay out to compare based on their efficiency, production and cycle time. so, that the existing lay out efficiency is 21.82%, production1387per day sample 3 blocks, and cycle times respectively for the improved lay out efficiency is 24.14%, production 1546 and cycle time
Haoran Zuo
In the last ten years, wind energy production has increased dramatically. According to the Global Wind Energy Council (GWEC), global wind turbine installations in 2020 exceeded 90 GW, an increase of 53% over 2019. This has increased total installed wind capacity to 743 GW, a 14% increase over the previous year. Furthermore, due to the stronger and more consistent wind in the marine area, additional wind turbines are being placed farther from the beaches. Larger wind turbines with higher ratings and larger blades have become top priority choices for efficiently exploiting wind resources. Wind turbine structures will become more flexible as they grow in size, causing vibration difficulties. Vibrations on various wind turbine components will induce fatigue and have a negative impact on system performance. Wind turbine vibrations can be reduced using structural vibration control techniques that have been successfully employed in civil constructions such as high-rise buildings. The four types of structural control approaches are: (1) passive (2) active (3) hybrid and (4) semi-active control. To reduce vibrations, these regulating approaches can be employed in many elements of wind turbines, such as blades, towers, and platforms. Reduced vibrations in wind turbine blades, towers, and platforms will extend the fatigue life of the wind turbines while also enhancing energy efficiency
Shiva Kumar
In the finite element (FE) simulation of the sheet metal forming process, an accurate representation of friction is crucial. Friction is frequently oversimplified by using a constant Coulomb friction coefficient. The use of an existing multiscale friction model to the hot stamping process is explored in this work. During hot stamping, the model takes into account the effects of tool and sheet metal surface topography, as well as the evolution of contact pressure, temperature, and bulk strain. To calibrate the model, normal load flattening and strip drawing experiments are carried out. When the tool surface evolution due to wear is taken into account, the findings show that the model can reasonably forecast friction in strip draw experiments. Finally, the FE simulation of a hot-stamped item was used to demonstrate the use of the defined multistate friction model.
Hadiqa Amjad*, Nimra Jamil, Amna Azeem, and Saba Majeed
Big Data means the large amount of data. Data is rapidly increasing day by day. So, there’s a big issue how to secure the large amount of data. Securing information is become a priority as data is a most important asset in today’s world. In this paper we will discuss the challenges of Hadoop and provide the solutions for securing it. Some security challenges of Hadoop include Data Security, Network Security, Access Control Security etc. We have brief discussed about Hadoop framework, some security management modules and different approaches i.e. Kerberos technique, Bull Eye Algorithm, encryption techniques etc. in securing the Hadoop Ecosystem.
Skanda Moda Gururajarao
Human failures in workplace may lead to accidents which will affect the individual as well as to the organization. Attribution of human error as the cause of accidents and incidents is common in accident reports. In order to improve the safety aspects of the organization, time and financial resources are being spent. In spite of safety policies, rules and regulations, many accidents, and incidents are being reported from different sectors. The current study focuses on the errors management in medium and small scale manufacturing setups. Authors argue that it is important to view errors as a positive feedback and having a growth mindset towards errors can improve the safety culture thereby improving the overall productivity and efficiency of the organization. Questionnaire on error management culture of the manufacturing setups is prepared and distributed among the medium and small scale industrial operators of the manufacturing setups situated in the Mysore city. Statistical reliability analysis of error management questionnaire is carried out and it is found that instrument is reliable and can be used to assess the error management culture of the organization.
DOI: 10.37421/2169-0316.2021.10.300
Bangladesh has demonstrated strong economic fundamentals with a consistent GDP growth rate over 7 percent in last few years. With this rapid economic growth, the demand of electricity will also be increased. Since the development of power sector is dependent on many factors, the power sector of Bangladesh is very challenging. In this case study, a brief discussion on Power sector of Bangladesh has demonstrated with recent information and data including power crisis of the country. Future plans and programs of Power sector has been discussed too. A detailstudy on power demand and production is also calculated. Our main objective was to provide a genuine power scenario of Bangladesh and calculate the upcoming demand by 2042 which will be followed by some recommendations through which the Power sector of Bangladesh can improve. The forecasting was calculated by multiple regression analysis using GMDH Streamline software.
DOI: 10.37421/2169-0316.2021.10.290
McDonald’s is largest fast food chain in world, it is also known for its speed of operation. It is present in 118 countries with 36900 outlets. It is very crucial task to satisfy every customer where their expectation are very high, all they want is hygiene, taste, cleanliness, reliable price, fast delivery and many more. In India there is 250 eating outlets covering 40 cities and they add more outlets every time. McDonald’s entirely outsourced its service and managed quite long supply chain network in India. It uses various models like HUB and SPOKE model and different software like SAP SCM, RAMCO ERP with COBRA. The explanation will help to understand the flow of supply chain management and its tool in India.
Industrial Engineering & Management received 446 citations as per Google Scholar report
