1. DIGITAL MANUFACTURING

2. Industry 4.0, Fourth Industrial Revolution will comprise of IIoT IIoT comprises of: Machine learning Digital Manufacturing "The Core of Digital Manufacturing can be summed up in simple terms, and that is gathering, analysis and application of data."

3. MANUFACTURING COMMUNICATIONS PROTOCOLS CNC Machine tool controls and shares data CONTROL TECH ( It’s Brain behind Machine Tools ) CONVINCE PEOPLE Challenge from those who feel they are being scrutinized GET YOUR SWING DOWN

4. MAKE SIMPLE CHANGES CHOOSE MAINTENANCE STYLE CONSIDER CYBERSECURITY

5. Digital Manufacturing Leading to 'ON DEMAND' short runs Protolabs are producing molds using 3-D printing Through Digital help they are making the prototypes in 3 to 4 hours There is no cap over min and maximum order

6. German Companies as World Leaders in manufacturing $1.4 Trillion production by 2030 This could be achieved by : Digitally assecing the model Use of Big Data Smart maintenance and eqpt performance

7. Doubling down on digital manufacturing: One company's journey to IIoT started before the concept had a name By Bob Vavra

8. HIGHLIGHTS One of the key technologies for Faurecia has been the deployment of automated guided vehicles (AGVs) through- out their plants.

9. HISTORY A $21 billion global Tier 1 automotive manufacturer, Faurecia Company didn’t know what to call the change that was coming at Faurecia and spreadsheet based organization that experienced tremendous growth in the last 20 years. With the growth came complexity,So company management launched an effort to digitize what it called the Faurecia Excellence System, an existing manufacturing protocol that standardizes best practices around the globe. The concept was to connect machines to common management system They saw it a future of manufacturing in doubling down on getting it implemented.

10. A COMMON SYSTEM Faurecia makes complete seats,seating components, vehicle interiors, and emission con-trol technology for some of the world’s Leading automo-bile manufacturers. One in every three cars worldwide are touched by at least one of Faurecia’s product. Leadership’s focus on the Idea and importance of change was the first step in Faurecia’s digi-tal manufacturing efforts. When the process began in 2015 Faurecia col-lected more than 200 possible initiatives and nar-rowed that down to 42 proofs of concept that were pursued and later left with only 4.

11. 1st DIGITAL STREAMS Digital operations: Company standards were issued around several technologies: Automation: Automated guide vehicles (AGVs), robots. Digital Management Control, designed to create a paperless shop floor Machine intelligence and predictive maintenance Traceability: Built around implement-ing RFID and other product tracking systems Logistics optimization Plant maintenance monitoring A light guided system.

12. 2nd DIGITAL STREAM Digital HR and communications: The company knew that training and commu- nications would be a key element at each step of the process. Faurecia University. Focused on delivering common training materials to employees worldwide. Project PASS. Standardized HR files worldwide Social networking. Improved Digital Communications. Included moving to WebEx for external audio and video conferencing and Skype for Business for internal chats.

13. 3rd DIGITAL STREAM Digitization of sales and programs: it includes Customer relationship management(CRM) tool as well as a system of program KPIs.

14. 4th DIGITAL STREAM A digital R&D process: is automatically linked design, engineer-ing, manufacturing, and a production bill of materials in a true product lifecycle management system

15. MEETING CHALLENGES HEAD ON The plant leadership really drive the success of the project. Plants that have strong leadership really embrace it. No two ways about it. Instead of us push-ing it, they are pulling for it. They’ve begun automating the scheduling of their components in plants, a process done in spread sheets in the past. “The workers turn on the technology and see the output of work and compare it what they do on a day-to-day basis.

16. MOVING TOWARDS IIOT Faurecia has been reinventing its operation,the concept of IIoT has exploded all around them. One area of improvement has been the creation a true measure-ment of overall equipment effectiveness (OEE) and sharing that measurement with the manufacturing teams. As algorithms continue to improve and cloud-based software continues to improve, the possibilities with this connectivity are endless.

17. CONCLUSION The paper focuses on rise of digital manufacturing at automotive equipment maker Faurecia with launch of excellence system. It includes several technologies such as AGV, machine intelligence,customer relationship, digital training and communication

18. Digital manufacturing: history, perspectives, and outlook By: G Chryssolouris, D Mavrikios, N Papakostas, D Mourtzis*, G Michalos,andK Georgoulias

19. INTRODUCTION The need for reduced development time together with the growing demand for more customer- oriented product variants have led to the next generation of information technology (IT) systems in manufacturing. These systems are based on the digital factory/manufacturing concept, according to which production data management systems and simulation technologies are jointly used for optimizing manufacturing before starting the production and supporting the ramp-up phases Digital manufacturing would allow The shortening of development time and cost. The integration of knowledge coming from different manufacturing processes and departments, The decentralized manufacturing of the increasing variety of parts and products in numerous production sites. The focusing of manufacturing organizations on their core competences on the basis of effective IT-based cooperative engineering.

20. IT IN MANUFACTURING An example of the introduction of IT, in the manufacturing world, is the concept of computer-integrated manufacturing (CIM). This concept was introduced in the late 1980s, favouring the enhancement of performance, efficiency, operational flexibility, product quality, responsive behaviour to market differentiations, and time to market. The inventory control and material requirements planning (MRP) systems were introduced in the 1960s and 1970s respectively. Such systems were further enhanced with the integration of tools cap-able of providing capacity and sales planning functionalities together with scheduling capabilities and forecasting tools. The result was the introduction of the closed-loop- MRP The advances in microprocessor technology, the advent of the internet era, the standardization of software inter-faces, the wide acceptance of formal techniques for software design and development, and the maturity of certain software products (relational database management systems and computer-aided design(CAD) systems, for instance) paved the way for facilitating the integration among diverse software applications.

21. COMPUTER AIDED TECHNOLOGIES CAD is considered among the technologies that have boosted productivity, allowing faster time to market for the product and dramatically reducing the time required for product development The CAD systems have become indispensable to today’s manufacturing firms, because of their strong integration with advanced manufacturing technique CAD models are often considered sufficient for the production of the parts, since they can be used for generating the code required to drive the machines for the production of the part. Rapid prototyping is an example of such a technology Computer-aided engineering (CAE) systems are used to reduce the level of hardware prototyping during product development and to improve the understanding of the system The great step towards the implementation of CAM systems was the introduction of computer numerical control (CNC).

22. MANUFACTURING CONTROL Manufacturers will base their future controller selection on factors such as adherence to open industry standards, multi-control discipline functionality, technical feasibility, cost-effectiveness, ease of integration, and maintainability. New developments in the use of wireless technologies on the shop floor, such as radiofrequency identification (RFID), as a part of automated identification systems, involve retrieving the identity of objects and monitoring items moving through the manufacturing supply chain, which enable accurate and timely identification information in the automotive assembly, IT is applicable to a series of processes such as pro- duction order control, production monitoring, sequence planning, vehicle identification, quality management, maintenance management, and mate-rial control.

23. SIMULATION Computer simulation has become one of the most widely used techniques in manufacturing systems design, enabling decision makers and engineers to investigate the complexity of their systems and the way that changes in the system’s configuration or in the operational policies may affect the performance of the system or organization Computer simulation offers the great advantage of studying and statistically analysing what–if scenarios, thus reducing overall time and cost required for taking decisions, based on the system behaviour and they are integrated with IT system

24. RECENT DEVELOPMENTS Digital manufacturing may be categorized into two major groups The developments of the first group have followed a bottom-up approach considering digital manufacturing, and extending its concepts, within a wider framework, e.g. the digital factory or enterprise' The developments of the second group have followed a top-down approac h considering the technologies in sup-port of individual aspects of digital manufacturing,e.g. e- collaboration and simulation. The new concept of digital enterprise technology (DET) has also been recently introduced as the collection of systems and methods for the digital modelling of the global product development and realization process in the context of life-cycle management

25. THE VISION OF DIGITAL FACTORY

26. DIGITAL FACTORY

28. CONCLUSION Digital manufacturing incorporates technologies for the virtual representation of factories, buildings,resources, machine systems equipment, labour staff and their skills, as well as for the closer integration of product and process development through model-ling and simulation Closing the gap between the product definition and the actual manufacturing production activities within the enterprise, fully transforming tactics of manufacturing knowledge into tangible, and, finally, digital knowledge, optimizing data management, and devel-oping standard models are some key priorities.

29. Digital transformation changing the face of manufacturing Slansky, Dick

30. INTRODUCTION Manufacturing is rapidly moving into a era in which Industrial Internet Of Things(IIOT) based technologies, fabrication tactics and digitisation are converging the phase of production system Digital transformation affect all stages of product life cycle from design, production, simulation, maintenance and to service in the field. Advanced manufacturing technology is bringing significant changes and improvement to production system and services

31. AUTOMATION,ROBOTS AND SENSORS Vehicles can roll off any company geographically anywhere from 18 to 24 hours to 3-4 days from start to finish depending on design configuration. Company's factories are easily setup with in weeks(as opposed to years for conventional automotive plants). It helps company aims to design and make product with less capital and investment, in smaller production facilities, using the automation technology.

32. DIGITAL ENVIRONMENT

33. THE NEW WORK FORCE FOR THE FACTORY OF THE FUTURE Robotics in manufacturing jobs and outlook for the future Robots would be placed side by side with humans and next generation robots would be used in all manufacturing plants where they would be efficient,productive and competitive.

35. INCREASING PACE OF TECHNOLOGY ADVANCEMENT The company competing for a new business depend on these technology to bring new and innovative products using automation The pace of technology change and potential associated advantages gained by early adopters Manufacturer need to be constantly aware of the increasing pace of technology advancement and develop bussiness strategy to adopt technology

36. Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation- Jul 2014 Dazhong Wu,, David W. Rosen, Lihui Wang, Dirk Schaefer

37. HIGHLIGHTS A new paradigm in digital manufacturing and design innovation, namely cloud-based design and manufacturing (CBDM) Identify the common key characteristics of CBDM Define a requirement checklist that any idealized CBDM system should satisfy Compare CBDM with other relevant but more traditional collaborative design and distributed manufacturing system Describe an idealized CBDM application example scenario

38. INTRODUCTION In its initial application field of information technology (IT), cloud computing has proven to be a disruptive technology. Adapted from the original cloud computing paradigm and introduced into the realm of computer-aided product development, cloud-based design and manufacturing (CBDM) is gaining significant momentum and attention from both academia and industry. Cloud-based design and manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from CAE software to reconfigurable manufacturing systems.

39. Evolution of Design and Manufacturing Systems Engineering design:- Engineering design is a social and technical process in which products are designed by teams of people in single or multiple companies. Many researchers have proposed descriptive models that abstract the engineering design process. Manufacturing systems:- Similar to design systems, manufacturing systems have undergone a number of major transitions due to changing market demands and emerging technologies

40. Characteristics and Requirements for Cloud- Based Design and Manufacturing Systems To connect individual service providers and consumers in a networked design and manufacturing setting, a CBDM system should support social media-based networking services To allow users to collaborate and share 3D geometric data instantly, a CBDM system should provide elastic and cloud-based storage that allows files to be stored, maintained, and synchronized automatically To process and manage large datasets, so called big data, with parallel and distributed data mining algorithms on a computer cluster, a CBDM system should employ an open-source software/programming framework that supports data- intensive distributed applications

41. Comparing Cloud-Based with Web and Agent- based design and manufacturing Computing architecture From a computing perspective, the difference between web and agent-based applications and cloud-based applications is two-fold: multi-tenancy and virtualization. Design communication From a communication perspective, one of the ultimate goals of research on engineering design is to improve communication in the design process. Sourcing process From a sourcing process perspective, CBDM can leverage the power of the crowd Information and communication infrastructure From an information and communication infrastructure perspective, CBDM employs the IoT (e.g., RFID), smart sensor, and wireless devices (e.g., smart phone) to collect real-time design and manufacturing-related data

42. CONCLUSION Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from computer-aided engineering software to reconfigurable manufacturing systems

43. Direct Digital Manufacturing: Definition, Evolution, and Sustainability Implications Danfang Chen, Steffen Heyer, Suphunnika Ibbotson, Konstantinos Salonitis, Jon Garðar Steingrímsson, Sebastian Thiede

44. INTRODUCTION Many technological advances of AM (Additive Manufacturing) methods have been developed since 1980s including 3D printing Such technology attracts many industries and individuals and subsequently leads to direct digital manufacturing (DDM) The products are manufactured right at or close to the customer utilising additive manufacturing and directly derived from a digital model This paper aims to clarify and analyse the main aspects of DDM and also its sustainability in order to provide an important foundation for manufacturers in enhancing their manufacturing systems

45. Evolution of Direct Digital Manufacturing DDM is an interconnection of (decentralised) additive manufacturing equipment and modern information and communication technology (ICT) ICT, especially the internet, allows to match consumer demands and supply capacities in real- time, only limited by physical logistic handling of artefacts Starting with computer-numerical controlled (CNC) machine tools and evolving into computer integrated manufacturing (CIM), computer technology improved efficiency of manufacturing in many ways greatly The main technological breakthrough of computer and information technology, allowed the development of both desktop processes and DDM in the manufacturing area

46. Classification and Comparison of Manufacturing Paradigms

47. Sustainability and DDM Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs Sustainability indicators In order to evaluate the impact of the different manufacturing paradigms, it is necessary to use a join assessment basis Depending on the viewpoint, sustainability may imply different meanings and it can be evaluated. Sustainability related implications of DDM Having in mind the evolution of manufacturing paradigms and the growing importance of sustainability, the question arises: which are the differences?

48. Energy Use in Production DDM Compared to Mass Production Energy use is one of the important indicators for sustainability. It can be directly related to both economic and environmental perspectives It can be directly related to both economic and environmental perspectives The energy demand of the process itself is just one perspective; other effects need to be taken into a consideration as well since they indirectly influence the energy demand of DDM from the system perspective

49. CONCLUSION According to this research, DDM seems to have a promising future, especially 3D printing. DDM has the possibility to combine the advantages of the production paradigms into personalised high quality products with the batch size of one High skill would not be necessarily as the digitalisation enables online skill acquisition. Basic computer skill empowers the user to become its own manufacturer, generating local value at best with resources that are locally available

50. Planning Towards Enhanced Adaptability in Digital Manufacturing Lihui Wang

51. INTRODUCTION Targeting the manufacturing dynamism in a distributed environment, this research introduces a Wise-ShopFloor (Web-based integrated sensor-driven e- ShopFloor) framework for distributed process planning, dynamic scheduling, real-time monitoring, and remote control. This approach is supported by sensors, function blocks, as well as Java and Web technologies. The Wise- ShopFloor is designed to use the popular B/S (browser/server) architecture, as well as VCM (view-control-model) and publish-subscribe design patterns for effective information sharing during decentralised planning and control Among many factors, flexibility, timeliness and adaptability are identified as the major characteristics in this research to bring dynamism to manufacturing

52. Enabling Technologies With the growing manufacturing decentralisation, products and services are distributed everywhere and sourced anywhere along supply chains Fortunately, the Web infrastructure today is mature enough to form a distributed manufacturing network through browser- server inter- connections In addition to the Web technology, Java has brought about a fundamental change in the way that applications are designed and deployed

53. Wise-ShopFloor Framework The Wise-ShopFloor framework has been designed to provide users with a web-based and sensor-driven intuitive environment where distributed process planning, dynamic scheduling, real-time monitoring and remote control are undertaken Within the framework, each machine should become an information node and be a valuable resource in the information network. A direct connection to sensors and machine controllers is used to continuously monitor, track, compare, and analyse production parameters

54. Distributed Process Planning Architecture design Process sequencing Function block design

55. FB Monitoring and Control System configuration Sensor data collection Data packet format Java 3D enabled visualisation Web-based machining

56. CONCLUSION This paper presents a novel approach toward web- based digital manufacturing, including distributed process planning, real-time monitoring and remote control, whereas scheduling is handled separately by a third- party system Within the Wise-Shop Floor framework, a prototype has been designed in view-control- model architecture and developed using publish-subscribe design pattern for sensor data collection and distribution

57. THANK YOU