Digital Factory – Theory and Practice

MM Science Journal

The study of the Digital Factory consists of the design of an automated manufacturing system with elements of autonomy within the concept of Industry 4.0. This study origin was inspired with the production of drumsticks. For the intended purposes, manufacturing system designs for Factories of Future are created. The system consists of elements that are part of the digital production with automated functions that serve to communicate and interconnect the equipment located inside the factory as well as its external parts-buildings. Together, they should create a comprehensive set of automated elements and autonomous production in Smart Future Factories.

THE 12th INTERNATIONAL MANAGEMENT CONFERENCE: Management Perspectives in the Digital Era, 2018

The high demand in certain industrial sectors requires a steadily rhythm of production. In addition, although in many cases mass production is being used, a particular emphasis has to be placed on individualized production. Connecting many products to the Internet, presence of sensors, wireless communications expansion, robot and intelligent machine development, real-time data analysis have the potential to turn the way in which production is made in what is considered to be the fourth revolution, called "Industry 4.0". The digital plant makes it possible to implement manufacturing processes, plant concepts and new technologies that, without simulation-based solutions, could not be put into practice or could be put into practice, as the case may be, but only by incurring considerable costs. The aim of this article is to study the benefits of digital factories in Romania as a prerequisite for revitalizing the production sector. The research methodology of the paper is focused on literature review and on the analysis of various studies and relevant findings in the field. From an economic point of view, digital factories represent a chance for relaunching, re-engineering production and evolving business models for services and products. To achieve the true Industry 4.0 potential, companies need to plan digital transformation. Manufacturers need to start searching for the best talent with digital skills and develop a clear plan on the manner digital factories will evolve.

ANNALS OF THE ORADEA UNIVERSITY. Fascicle of Management and Technological Engineering., 2012

It is well known in all the world that between industrial companies has been a strong competition in order to ensure market success. In the actual economic situation, companies have realized that the way they are implemented innovative processes and technologies influence the response time to market requirements. Consumer claims have increased, requiring companies which want to develop, to be engaged in more extensive search processes for finding out innovative-constructive solutions, technologies, strategies and techniques for product development, documentation management optimization, so that products be of quality, have a short development cycle and as low as possible production costs. The main challenges encountered in product development consist of reducing development time and the time to market of products, which depend on the ability of firms to turn in as soon as an idea into finished product, fast adaptation to customer needs by modifying existing solutions, product documentation management. 1. INTRODUCTION Under current conditions it was imposed an integrated approach to constructive aspects, technological, organizational and management development stages of the products due to the interdependence of these products by the economic factor, in order to ensure market success. This method allows a fast and efficient communication and a collaborative concept of the product, by a parallel connection of specialists in different development sectors and management of product life cycle (PLM). The concept of PLM integrates people, data, processes, combines solutions which optimize the entire product life cycle starting by the design phase, manufacturing, until leaving the household. This concept should be reflected in the training of future engineers so that they might understand and can apply these knowledge in practice, in order to support the transformation of ideas into successful products, increase competitive advantages for companies, making smart decisions, increasing the business rate of the companies that will be part. The business success of a firm often requires, in addition of developing new products and manufacturing technologies also a complex reorganization, that must be sustained by innovative instruments to the human resources, logistics, services accompanying the product even after selling it. One way that can be used to reorganize a business in order to improve its efficiency is a virtual enterprise, which represents collaboration between different departments which contribute to the achievement of certain activities to obtain a particular product. Virtual enterprise appeared and has developed by the evolution of information technology, that created software applications with opportunities to virtualize objects (CAD applications), manufacturing processes (CAM) resistance analysis (FEM) motion analysis, robots programming, manufacturing programming, data management, etc. Departments within virtual enterprise, each with well-defined role and activities (design, analysis and simulation, manufacturing, management, etc..) can access and share in between virtualized information on the product that must be realised. Using digital information assumes a PDM computerized system for data synchronization and managing the flow of information between different departments of the company, the aim being to integrate CAD, CAE, FEM, ERP applications.

2010

IEEE Transactions on Systems, Man, and Cybernetics, 1994

SOCIO-ECONOMIC DEVELOPMENT - o- INTERDISCIPLINARY ECOSYSTEMS PERSPECTIVE, 2020

The transitional stage in scientific and technological development, the complex processes of adoption of modern innovations are associated with the implementation of the concept of the fourth industrial revolution, Industry 4.0. At this moment, its analogues and more advanced versions are being implemented all over the world. Having become the universally recognised management term, Industry 4.0 is used in a much broader sense than its original meaning, encompassing many innovations. Among them are smart manufacturing, the Internet of Things, artificial intelligence, a variety of nano-devices, 3D printing (including food, organs and tissues), medical robotic surgeons, and many others. The emergence of new technologies is not accidental, it is an answer to the pressing problems of modern generations who want to save time and money by receiving services in digital format.

Production Planning & Control

Consumer needs and expectations of specific target groups-such as elderly, obese, disabled or diabetic persons-are arising as challenging opportunities for European companies which are asked to supply innovative customised goods of high quality at affordable price. This is particularly true in the fashion as well as in the orthopaedic sector where there are many different competences to conjugate to offer dedicated products to the mentioned target groups. This paper aims at proposing a reference model to support companies in defining collaborative supply networks for customised production. In particular, this work describes the implementation of the developed model in a real case highlighting the changes implied at network level to address the need for fashionable and healthy products.

Today's complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt their production to current internal and external circumstances. The Hungarian national R&D project led the Computer and Automation Research Institute (SZTAKI), Hungarian Academy of Sciences, combines the concepts of intelligent manufacturing systems and digital enterprises in addressing the above problems.

Istra?ivanja i projektovanja za privredu, 2012

This paper presents an analysis and synthesis of research carried out in the fi eld of digital factory and digital manufacturing. The aim was to present different approaches and concepts, digital manufacturing and digital factory, for the purpose of establishing a common research approach. The engineering model of manufacturing based on digital models of products, processes and resources is the future of manufacturing engineering in this area, and are therefore subject to analysis in this study particularly important. At the end are particularly given to future research directions in the fi eld of digital factory and of manufacturing.

International Journal of Management and Sustainability

Fast changing digital technologies are disrupting and changing business, product life cycles are becoming shorter and putting pressure on companies to bring a new product to market quick still cheaper and better this new technological wave warrant companies to put product innovation and development at the forefront. Data has become vital for business leaders across every industry; they are looking for a digital model to increase the efficiency and effectiveness of product lifecycle. These new trends in digital technology are shaping future of product lifecycle, Big data, Internet of things, cognitive and text analytics has come forward to the new edge of digital enabled innovation over the past few years. Big data analytics has become vital for business leaders across every industry sector. While many companies have used it to extract new insights and create new forms of value, other companies have yet to leverage big data to extend the life cycle of their products. 1. INTRODUCTION With the fast-changing digital world, Product life cycles are becoming shorter (Cormican and O'Connor, 2009). It puts digital pressure on companies to bring new products to market faster, cheaper, smarter and better than their competitors. Organizations not just have to plan for the introduction of new products and but also have to think how to keep it alive for a longer period. Companies must ensure that they have a portfolio of products at different stages in their lifecycles to ensure a constant income. Companies also require a constant flow of information, and that is where digital innovation in trends and technology comes into the picture.-Big data,‖ Internet of things, cognitive and text analytics has come forward to the new edge of digital enabled innovation over the past few years. Big data analytics has become vital for business leaders across every industry sector. While many companies have used it to extract new insights and create new forms of value, other companies have yet to leverage big data to extend the life cycle of their products. Wal-Mart, eBay, and Target and so on had used big data analytics to extend its product life cycle and created new forms of digital value. When a company decides to launch new products in the marketplace, it is challenging to predict whether it will be accepted, it will achieve the number in sales, or it will sustain in market or not and give desired results. In the world of digital, predictive analytics using analytical tool can provide the answer. This article aims to show the importance such technological innovation, its growing influence on companies and its application in the product lifecycle. It also shows the nature and volume of data used in extending product