Showing papers on "Production engineering published in 2017"

Use of the Manufacturing System Design Decomposition for Comparative Analysis and Effective Design of Production Systems

Abstract: The focus of this paper is on the use of the Manufacturing System Design Decomposition (MSDD) to make effective cost and production system design decisions. A comparative study is conducted to illustrate how and why the total cost is reduced when the functional requirements defined by the MSDD are achieved. The ultimate goal of this research was to advance manufacturing and production system development to being guided by engineering science and design rather than the common practice of duplicating another person’s or entity’s notion of the best physical implementation.

A new mixed production cost allocation model for additive manufacturing (MiProCAMAM)

Abstract: Additive manufacturing (AM) maturity allows diffusion of this technology in conventional production environments. In the decision to adopt a new technology, production costs are one of the most important factors to analyse, even if they are not developed enough yet. In the last decade, several cost models for AM have been proposed, but each of them focuses on a specific aspect of the process, lacking the ability to consider the effective costs associated with AM, i.e. regarding AM as part of a more general production context. The aim of this study is to develop a cost model that evaluates process costs of AM for relevant technologies such as stereolithography, selective laser sintering and electron beam melting when integrated in a general production process. The integration of AM on the shop floor is proved by the introduction of an index such as the Overall Equipment Effectiveness (OEE) index, which allows this evaluation to be more connected to real production system issues. At the end of the paper, an experiment to compare the results of the proposed model with those of previous studies is reported and it is put in evidence how this model overcomes the previous problem of estimation.

Towards Knowledge Management for Smart Manufacturing.

Abstract: The need for capturing knowledge in the digital form in design, process planning, production, and inspection has increasingly become an issue in manufacturing industries as the variety and complexity of product lifecycle applications increase. Both knowledge and data need to be well managed for quality assurance, lifecycle-impact assessment, and design improvement. Some technical barriers exist today that inhibit industry from fully utilizing design, planning, processing, and inspection knowledge. The primary barrier is a lack of a well-accepted mechanism that enables users to integrate data and knowledge. This paper prescribes knowledge management to address a lack of mechanisms for integrating, sharing, and updating domain-specific knowledge in smart manufacturing. Aspects of the knowledge constructs include conceptual design, detailed design, process planning, material property, production, and inspection. The main contribution of this paper is to provide a methodology on what knowledge manufacturing organizations access, update, and archive in the context of smart manufacturing. The case study in this paper provides some example knowledge objects to enable smart manufacturing.

Design an intelligent real-time operation planning system in distributed manufacturing network

Abstract: With the new generation Industry 4.0 coming, as well as globalization and outsourcing, products are fabricated by different parties in the distributed manufacturing network and enterprises face the challenge of consistent planning of semi-finished product in each manufacturing process in different geographical locations. The purpose of this paper is to propose a real-time operation planning system in the distributed manufacturing network to intelligently control/plan the manufacturing networks.,The feature of the proposed system is to model and simulate large distributed manufacturing networks to streamline the mechanical and production engineering processes with radio frequency identification (RFID) technology, which can keep track of process variants. To deal with concurrency and synchronization, the hierarchical timed colored Petri net (HTCPN) formalism for modeling is selected in this study. This method can help to model graphically and test the discrete events of concurrent operations. Fuzzy inference system can help for knowledge representation, so as to provide knowledge-based decision assistance in distributed manufacturing environment.,In this proposed system, there are two main sub-systems: one is the real-time modeling system, and the other one is intelligent operation planning system. These two systems are not parallel in the whole systems while the intelligent operation planning system should be embedded in any stage of the real-time modeling system as needed. That means real time modeling system provides the holistic structure of the studied distributed manufacturing system and realize real-time data transfer and information exchange. At the same time the embedded intelligent operation planning system fulfill operation plan function.,This new intelligent real-time operation system realizes real-time modeling with RFID-based HTCPN and smart fuzzy engine to fulfill intelligent operation planning which is highly desirable in the environment of Industry 4.0. The new intelligent manufacturing architecture will highly reduce the traditional planning workload and improve the planning results without manual error interference. The new system has been applied in a practical case to demonstrate its feasibility.

Introduction to the Multi-Disciplinary Engineering for Cyber-Physical Production Systems

Abstract: The Internet of Things and Services opens new perspectives for goods and value-added services in various industrial sectors. Engineering of industrial products and of industrial production systems is a multi-disciplinary, model- and data-driven engineering process, which involves engineers coming from several engineering disciplines. These engineering disciplines exploit a variety of engineering tools and information processing systems. This book discusses challenges and solutions for the required information processing and management capabilities within the context of multi-disciplinary engineering of production systems. The authors consider methods, architectures, and technologies applicable in use cases according to the viewpoints of product engineering and production system engineering, and regarding the triangle of (1) the product to be produced by (2) a production process executed on (3) a production system resource.

Cyber-Physical Systems Engineering for Manufacturing

Abstract: There is a convergence of interests in cyber-physical systems, systems engineering, and manufacturing innovation in the United States. The U.S. National Institute of Standards and Technology (NIST) has undertaken research programs in smart manufacturing systems to address many of the standards and measurement science issues that arise from this convergence. This chapter describes the convergence, the progress made thus far in the NIST programs in smart manufacturing systems, and the challenges that drive further research.

Need for the continuous evolution of systems engineering practices for modern vehicle engineering

Abstract: Cars of the future (ADAS – Autonomous self-driving assistant) will need to cover a number of new standards for mechatronic design and networking of the car in the cloud. This includes job roles for ISO 26262, IEC 61508 (functional safety), SAE J3061 (cybersecurity), etc. For instance, a car driving on a street will exchange information with neighbouring cars and learn the right steering angle, speed, etc. while the driver is using the car like a work place. Manufacturers plan to produce from 2030 only cars which have such a self-driving function incorporated. The design of new electric cars will require new infrastructures, new energy management, new battery concepts, and also new materials design (light weight and still resistant), and the job role pool will include these key skills as well. The production of cars will be with connected plants, robots to be programmed, and central production servers to coordinate the industry 4.0 type of production virtually across the world. And the new cybersecurity norm SAE J3061 will develop further in the next years because by moving the cars to the cloud and the production to industry 4.0 leaves Europe’s industry vulnerable to attacks if this is not handled. Also the medical systems move towards an IoT (Internet of Things) approach where people receive implants which read out the data and transport them to the mobile which forwards the data to a medical service in the cloud where data are used by states and hospitals.

NASA Systems Engineering Handbook

Abstract: The update of this handbook continues the methodology of the previous revision: a top-down compatibility with higher level Agency policy and a bottom-up infusion of guidance from the NASA practitioners in the field. This approach provides the opportunity to obtain best practices from across NASA and bridge the information to the established NASA systems engineering processes and to communicate principles of good practice as well as alternative approaches rather than specify a particular way to accomplish a task. The result embodied in this handbook is a top-level implementation approach on the practice of systems engineering unique to NASA. Material used for updating this handbook has been drawn from many sources, including NPRs, Center systems engineering handbooks and processes, other Agency best practices, and external systems engineering textbooks and guides. This handbook consists of six chapters: (1) an introduction, (2) a systems engineering fundamentals discussion, (3) the NASA program project life cycles, (4) systems engineering processes to get from a concept to a design, (5) systems engineering processes to get from a design to a final product, and (6) crosscutting management processes in systems engineering. The chapters are supplemented by appendices that provide outlines, examples, and further information to illustrate topics in the chapters. The handbook makes extensive use of boxes and figures to define, refine, illustrate, and extend concepts in the chapters.

Development of digital production engineering monitoring system based on equipment state index

Abstract: The article examines the development of digital manufacturing production, in particular the system for monitoring the work of CNC equipment, CNC equipment circuits and other automated manufacturing equipment, as well as systems of monitoring and resource suppy for the implementation of production tasks and production plan of the digital manufacturing production. The developed system has the following features: monitoring of the main parameters of the equipment and its components; assessment of the current situation and the consequences of equipment failure; assessment of resource supply for production orders and the production plan, and tracing their completion; reporting on the formation of diagnosed objects. The solution is based on using the equipment condition index to ensure objective assessment of the equipment condition. The authors developed software and circuit solutions to be implemented in real digital production.

Proactive Approach to Engineering and Design Deliverables Quality Enhancement

Abstract: This paper presents research findings by the Construction Industry Institute (CII) Research Team (RT) 320, Definition and Measurement of Engineering/Design Deliverable Quality, to manage th...

Lean manufacturing implementation in reducing waste for electronic assembly line

Abstract: Lean manufacturing is the most convenient way to eliminate unnecessary waste and can provide what customers demand. This paper presents possibilities and sustainability of application of lean manufacturing method by using a virtual simulation of the workers performance in a line production of small and medium industry. Actual case study and Witness simulation were used in this study to find the waste that exists in the production and identified the performance of workers in the production line. Lean manufacturing concept has identified and rectified problems related to low productivity in the assembly line. The case study is involved a line production for electronic part assembly. The result of this preliminary study should illustrate the relationship of worker’s performance by lean manufacturing method as well as the productivity improvements which help to reduce cost for manufacturer. Lean manufacturing method has been used during the study to reduce the cost when waste is eliminated by reducing the workstation without reducing the performance of the production. The performance of the production is increased when allocating the labor in a needed working area. Lastly, the study also proves that the new layout has improved the process to be used for future production process.

Additive Manufacturing: A Trans-disciplinary Experience

Abstract: Objective Additive Manufacturing (AM) has intrigued the minds of many. The artist can create truly unique designs. The production engineer has a completely new way of making parts. The warfighter can repair or replace equipment on the battlefield. Moreover, any curious person can build trinket and toys at home. As such, the systems challenges facing AM users are not restricted to experts from one domain or one discipline, but are challenges faced by all. This chapter serves to review these transdisciplinary challenges and to discuss opportunities associated with (AM) technologies. The chapter also explores the unique systems challenges created by the widespread adoption of those technologies.

The Need of Dynamic and Adaptive Data Models for Cyber-Physical Production Systems

Abstract: Cyber-physical production systems (CPPSs) are the fundamental basis for the realization of the German initiative “Industrie 4.0,” which covers not only the usage of intelligent embedded devices and their interconnectedness, but also models for describing different processes according to the product’s life cycle. This article focuses on challenges regarding the integration of different views on urgent aspects, technologies, and paradigms to formulate one consistent modeling approach. Different use cases then describe the application of modeling and implementation concepts as well as benefits of new possibilities for process control. These are: model-based human-robot interaction for flexible assembly automation, a cloud-based approach for advanced condition monitoring, and product-centered control in the Laboratory for Machine Tools and Production Engineering (WZL)’s Smart Automation Lab.

Multifunctional use of functional mock-up units for application in production engineering

Abstract: This paper describes how Functional Mock-up Units (FMUs) can be used multifunctional in production engineering applications. There are presented three different examples: Example one shows the behavior simulation of mechatronic components in Virtual Engineering (VE). The second application example describes the energy simulation of an automated production system while Virtual Commissioning (VC). The last presented use case of FMU implementation is an application after engineering phase, while real production runtime (digital twin). Additional to the application examples the methodical and historical background of the integration of FMUs is presented.

Architecting model driven system integration in production engineering

Abstract: System integration is a key enabler to maximize information value in an engineering context. The valuable information is normally represented by information models which play a decisive role in the ...