Prognosis for the Future for Laser Technology

This chapter presents a modern approach to production management based on actions aimed at minimizing its impact on the environmental. The philosophy of cleaner production was characterized, the idea of which is to prevent pollution, for example, by introducing changes in production technology or reusing production waste. The concept of BAT, the best environmentally effective production methods, was described. In this context, the concept of implementing laser processing as a method to prevent environmental pollution occurring in conventional product bonding was presented. In addition, a discussion on the prospects of implementing a new laser technology in bonding was presented. The developmental conditions visible in the Industry 4.0 revolution, automation, robotization, just in time, and lean manufacturing philosophy, which are conducive to the spread of lasers in place of already known but problematic manufacturing technologies, were demonstrated.

2021 ◽  
Vol 9 (3) ◽  
pp. 951-961
Author(s):  
Muhammad Naeem ◽  
Nisar Ahmad ◽  
Sarfraz Hussain ◽  
Bilal Nafees ◽  
Aatir Hamid

Purpose of the study: Lean manufacturing is perceived to be a significant competitive advantage of firms as it removes waste from manufacturing operations with innovations in products and processes. This research aims to know the impact of lean manufacturing practices of textile firms on their operational efficiency. Methodology: For this study, questionnaires were electronically sent to operation/ production managers of 122 textile firms using lean manufacturing technologies in Pakistan. Based on the literature review, nine lean manufacturing practices and five operational performance measures were included in the questionnaire survey. Just 91 operation managers replied, a response rate of 74%. Multiple regression analysis was performed to test the hypotheses of the study. Main findings: The results of regression analysis show that lean manufacturing practices significantly impact the operational performance of textile firms. The study's findings suggest that the involvement of customers, suppliers, and employees causes an increase in the operating performance of firms. Moreover, it is established that some lean manufacturing practices such as 5S, automation (Jidoka), Justin time (JIT), equipment layout, and continuous improvement (Kaizen) have a significant and positive effect on the operational performance of firms. Application of the study: The lean manufacturing practices save money for businesses and increases overall productivity by reducing waste. These are also helpful in increasing consumer loyalty and employee productivity. The study's results show that lean production methods can be adopted to improve operating performance and competitiveness. Originality/ Novelty: This study adds a piece of first-hand evidence by establishing a significant effect of lean manufacturing practices of firms on their operational performance in Pakistan, where most of the firms so far are using traditional techniques due to lack of financial resources.


Author(s):  
N.S. Surnina ◽  
S.V. Timofeev ◽  
T.V. Pletneva

The article examines the relevance of creating a lean production management system as an organization of activities focused on increasing the attractiveness of the technical, economic and aesthetic qualities of a product or service for the consumer, achieving stable development of the organization through continuous improvement of business processes through the involvement of personnel and the elimination of all types of losses. The authors describe in detail the stages of the creation of the DARINA Operating System in the Tchaikovsky branch of Gazprom Bytovye Sistemy JSC. The importance of the formation of a culture of lean production among all participants in business processes has been substantiated. Research into the prevalence and effectiveness of lean manufacturing in the Perm Territory in general and in the Chaikovsky District in particular shows the growing interest of business and government in the implementation of lean manufacturing technologies. This situation contributes to the development of the organization as a conductor of the ideas of lean production in the region. At present, shaping the methodology for using the principles of lean production and the principles of lean management of sustainable development, providing support to enterprises of the Perm Territory, the Chaikovsky branch of JSC Gazprom Bytovye Sistemy is successfully developing and expanding the boundaries of its potential capabilities, not only in the production of products that best meet the needs of consumers in relation to quality, design and price, but also a more multifaceted implementation of the principle of social responsibility as a prerequisite for the sustainable development of the company through participation in projects aimed at strengthening social support for the population.


2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.


Author(s):  
Cristina Ciliberto ◽  
Katarzyna Szopik‐Depczyńska ◽  
Małgorzata Tarczyńska‐Łuniewska ◽  
Alessandro Ruggieri ◽  
Giuseppe Ioppolo

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