scispace - formally typeset
Search or ask a question

Showing papers on "Production engineering published in 2022"



Book ChapterDOI
01 Jan 2022
TL;DR: In this article, an analysis of the 3D printing industry worldwide is conducted in this chapter, and also the method of supply chain management, as exemplified by a selected organisation, taking under particular consideration processes exerting influence upon reducing the waste of raw materials, the loss of working hours and the misuse of financial means.
Abstract: Simultaneously with the arrival of the Fourth Industrial Revolution, a particular attention started to be paid to introducing solutions based upon modern technologies in the line of production. Among them, there are, to mention, but one, rapid prototyping techniques, commonly referred to as well as 3D printing. The literature of the subject shows that, regardless of its numerous advantages, managers do not find it easy to accept this technology in production, which is caused by the absence of a clear model showing the business strategy most suitable for the purpose of implementing additive manufacturing, and also determining whether this strategy can be applied to all kinds of products. In connection with what is stated above, the analysis of the 3D printing industry worldwide is conducted in this chapter, and also the method of supply chain management, as exemplified by a selected organisation, taking under particular consideration processes exerting influence upon reducing the waste of raw materials, the loss of working hours and the misuse of financial means, is presented.

1 citations


Posted ContentDOI
17 Jan 2022
TL;DR: In this article , a numerically controlled milling machine was used to achieve better results compared with conventional methods in the production of the minting ink tank cover, achieving an exact replication of the tank cover that is more importantly, capable of producing 25 pieces per hour and an annual volume of 48000 pieces.
Abstract: Abstract Extant research on fabrication of machine parts have contributed to an understanding of manufacturing processes for a tank cover, using conventional methods. However, the gap lies in the need to tap on advanced manufacturing processes in the production of a leak-proof tank cover, to achieve not only precision, dependability, and mass production but also to promote the issue of context in the manufacturing industry. To respond to this gap, we present research that utilizes novel experimental techniques for tool and die production, to demonstrate superiority over existing research in terms of using modern trends in the production line. The contribution lies in buttressing the synergy between conventional ways of fabricating machine parts in the workshop by using current trends to achieve same results as conventional ways of fabricating machine parts by exploiting advantages of using computer numerically controlled machines in the production of the minting ink tank cover. A numerically controlled milling machine was used to achieve better results compared with conventional methods. Engineering design software was used to generate 2-D coordinates of the work piece diagram with which a computer program was written, duly simulated and certified fit to produce the work piece. Results showed an exact replication of the minting ink tank cover that is more importantly, capable of producing 25 pieces per hour and an annual volume of 48000 pieces. These results are significant to the manufacturing industry in achieving four things: time and energy management, mass production, super surface finish, and consistent quality.

Journal ArticleDOI
TL;DR: Applied Engineering to Lean Manufacturing Production Systems as mentioned in this paper is a special issue called "Applied engineering to lean manufacturing production systems", whose objective was to bring together different articles with industrial applications of the different lean manufacturing tool theories for problem-solving and case studies that improve the indices of the production systems.
Abstract: At the end of 2018, a call for papers was made for the Special Issue called “Applied Engineering to Lean Manufacturing Production Systems”, whose objective was to bring together different articles with industrial applications of the different lean manufacturing (LM) tool theories for problem-solving and case studies that improve the indices of the production systems [...]

Book ChapterDOI
23 Nov 2022
TL;DR: In this article , the authors present some of the new ideas, creative applications, and process optimization methods for more efficient utilization of resources available for improving productivity and reliability or lessening the times and costs of industrial production processes.
Abstract: Production engineering and advanced control systems make it possible to respond to the increasing needs of nations around the world. This book presents some of the new ideas, creative applications, and process optimization methods for more efficient utilization of resources available for improving productivity and reliability or lessening the times and costs of industrial production processes. It presents a variety of chapters on the development of production techniques and systems including abrasive waterjet machining, additive manufacturing, and production management. It also discusses the methods used for the development and improvement of control mechanisms with the objective of improving the reliability and efficiency of production systems. This book is useful for researchers, engineers, and experts working in different areas of production engineering and manufacturing control systems.


Journal ArticleDOI
TL;DR: In this article , the main function of the CAM «Lineika» is to assess the predictive complexity and cost of manufacturing parts and products of tool production, which can significantly reduce the time required for the development of new device designs for manufacturability, which in general will reduce the final cost of production.
Abstract: This article discusses the main aspects related to the software of the automated system «Lineika». The main function of the CAM «Lineika» is to assess the predictive complexity and cost of manufacturing parts and products of tool production. The system provides an automated calculation of the above technical and economic indicators for the following groups of class 28, allocated by regulatory documents: cutting tool; measuring tool; appliances, dies, moulds, production accessories. Approbation of the created automated system in real production conditions showed the high efficiency of the proposed engineering method of rationing in the calculation of the projected intensity of the production of cutting, measuring tools, as well as forming parts of tooling. Its introduction into the pilot production of the development of new products will significantly reduce the time required for the development of new device designs for manufacturability, which in general will reduce the final cost of production.

Book ChapterDOI
13 Oct 2022
TL;DR: In this paper , an AI-based methodology for extracting information from 2D engineering and manufacturing drawings is presented, which combines and compiles object detection and text recognition methods to interpret the document systematically.
Abstract: Abstract The production of small batches to single parts has been increasing for many years and it burdens manufacturers with higher cost pressure. A significant proportion of the costs and processing time arise from indirect efforts such as understanding the manufacturing features of engineering drawings and the process planning based on the features. For this reason, the goal is to automate these indirect efforts. The basis for the process planning is information defined in the design department. The state of the art for information transfer between design and work preparation is the use of digital models enriched with additional information (e.g. STEP AP242). Until today, however, the use of 2D manufacturing drawings is widespread. In addition, a lot of knowledge is stored in old, already manufactured components that are only documented in 2D drawings. This paper provides an AI(Artificial Intelligence)-based methodology for extracting information from the 2D engineering and manufacturing drawings. Hereby, it combines and compiles object detection and text recognition methods to interpret the document systematically. Recognition rates for 2D drawings up to 70% are realized.

Journal ArticleDOI
31 May 2022
TL;DR: The situation with the castings production in the Republic of Belarus is considered in more detail in this paper , where an outlook on the ways of further foundry production development is presented.
Abstract: Information about the volumes of castings production in various countries of the world is given. The situation with the castings production in the Republic of Belarus is considered in more detail. An outlook on the ways of further foundry production development is presented. Recommendations have been developed on the main areas of application of cast products in mechanical engineering.