Auto-ID enabled real-time manufacturing shop-floor management: a case study in a fastener manufacturer (original) (raw)

Production Monitoring Linked to Object Identification and Tracking a Step Towards Real Time Manufacturing In Automotive Plants

Digital Enterprise Technology, 2007

ProVis.Agent is the first agent-based production monitoring & control system for distributed real-time production monitoring. Its functionality is based on ProVis.NT, the proven object-oriented control system which monitors and controls e.g. the body, paint and assembly shops in DaimlerChrysler's automotive plant in Bremen, Germany. Forming an integral part of the manufacturing execution system (MES), ProVis.Agent for the first time allows to be integrated with other shop-floor related applications. In this paper the author shows a case study of implementing agent-based technology to a classical field of automation and how to use it for interconnection of real time systems.

Supporting decisions in real-time enterprises: autonomic supply chain systems

Handbook on Decision Support Systems 2, 2008

Supporting decisions in real-time has been the subject of a number of research efforts. This paper reviews the technology and architecture necessary to create an "autonomic supply chain" for a real time enterprise for supply chain systems. The technologies weaved together include knowledge-based event managers, intelligent agents, radio frequency identification, database and system integration and enterprise resource planning systems.

Shop floor management system in the context of smart manufacturing: a case study

International Journal of Lean Six Sigma, 2019

Purpose The purpose of this study intends to make a characterization of a shop floor management (SFM) system in the context of smart manufacturing, through smart technologies and digital shop floor (DSF) features. Design/methodology/approach To attain the paper objective, a mixed method methodology was used. In the first stage, a theoretical background was carried out, to provide a comprehensive understanding on SFM system in a smart manufacturing perspective. Next, a case study within a survey was developed. The case study was introduced to characterize a SFM system, while the survey was made to understand the level of influence of smart manufacturing technologies and of DSF features on SFM. In total, 17 experts responded to the survey. Findings Data analytics is the smart manufacturing technology that influences more the SFM system and its components and the cyber security technology does not influence it at all. The problem solving (PS) is the SFM component more influenced by the...

The intelligent product in manufacturing control and management

Proceedings of the 15th IFAC World Congress, 2002, 2002

The authors are involved i n a major, industrially-funded, research project which is connecting manufactured components and products to the internet. The Auto-ID project will enable unique information about a particular item to be stored, retrieved, communicated to others and even used in automated decision making relevant to that item. In this way we begin to build a specification for an intelligent product-one whose information content is permanently bound to its material content. This paper will begin to explore the impact of such developments on manufacturing shop floor control and management and will in particular, examine the way in which so called distributed, intelligent manufacturing control methods can be enhanced.

Proposal for a Project of Integration of IT Tools With Focus on Planning and Control of Operations on the Shop Floor

 Manufacturing system, with high level of complexity and with a mix of semi-repetitive and repetitive products, to become productive, should seek the standardization of products and processes to obtain the optimization of use of production resources. However, it is necessary to measure the productivity, so that the system of measurement and control of manufacturing processes are an element critical as to ensure greater visibility of the flow's restrictions, minimized when detected properly. In this case, the automation of factory's measurement process can effectively contribute to ensuring the effectiveness of the function control of a manufacturing system. It is important to consider that the automation of the system of measurement and control of manufacturing processes, of complex environment, is heavily dependent of IT tools applied directly in the interface computational between the operation systems and the corporate systems. This heavy reliance, if exploited technically properly, allows that automation of the system of measurement and control of production makes the access to time real of availability of manufacturing process's data, such as processing time and setup time that it can export to a specialist software in programming production, for example, feasible. In this paper, the automation of the system of measurement and control of production is approached, in order to identify the main possibilities of the design of an information system capable to integrate the flow of information in an environment internal on manufacturing organizations, with emphasis in the digital manufacturing paradigm.

Proposal for a Project of Integration of IT tools with focused on planning and control of operations on the shop floor

Manufacturing system with high level of complexity and with a mix of semi-repetitive and repetitive products, to become productive, it should seek the standardization of products and processes to obtain the optimization of use of production resources. However, is necessary to measure the productivity, so that the system of measurement and control of manufacturing processes is an element critical as to ensure greater visibility of the flow´s restrictions, minimized when detected properly. In this case, the automation of factory´s measurement process can effectively contribute to ensuring the effectiveness of the function control of a manufacturing system. On the other hand, it is important to consider that the automation of the system of measurement and control of manufacturing processes, of complex environment, is heavily dependent of IT tools applied directly in the interface computational between the operation systems and the corporate systems. This heavy reliance, if exploited technically properly, allows that automation of the system of measurement and control of production makes feasible the access to time real of availability of manufacturing process´s data, such as processing time and setup time that it can exported to a specialist software in programming production, for example. In this paper, is approached the automation of the system of measurement and control of production, in order to identify the main possibilities of the design of an information system capable of integrate the flow of information in an environment internal on manufacturing organizations, with emphasis in the Digital Manufacturing Paradigm.

Real-time Manufacturing Integration and Intelligence Solution: Case Study in Global Chemical Company

Journal of Software, 2012

Global manufacturing enterprises meet a lot of challenges on enterprise level, plant level and shop floor level. To solve those challenges, a kind of real-time Manufacturing Integration and Intelligence (MII) solution is proposed, and its standard interfaces with ERP modules and shop floor systems, standard integration functionalities, and typical use cases and typical benefits, are described. By using of the practical project executed in one global chemical company as background, the paper introduces the project's "AS IS" situation, and "TO BE" target. Then, the MII solution is discussed in more detail, including its business scope, customer requirements, server selection, high availability solution, core technologies, and its main functions: load; unload; transfer; special instruction; inventory; blending; KPI dashboard. The tactical benefits, which have been made for the customer with the MII solution, are summarized. Finally, some conclusions are drawn out.

Agent-based real-time assembly line management for wireless job shop environment

2010 IEEE International Conference on Mechatronics and Automation, 2010

Recent developments in wireless technologies have created opportunities for developing next-generation manufacturing systems with real-time traceability, visibility and interoperability in shop floor planning, execution and control. This paper discusses how to deploy wireless and intelligent technologies to convert physical objects in manufacturing systems into smart objects to introduce and improve the interoperability and visibility between them and thus with manufacturing decision support systems. A reference architecture for wireless manufacturing (WM) is proposed where three types of smart objects are identified. At the same time, the concept of smart object agent (SOA) is presented and the corresponding framework of smart objects management system (SOMS) is constructed. Under this framework and the concept of SOA, a SOA-based WM environment is studied and demonstrated using a near real-life simplified product assembly line for the collection and synchronization of the real-time field data from manufacturing workshops. I. INTRODUCTION ITH the increasing competitiveness and globalization of today's business environment, the supply chain of a company has become more complex and the manufacturing processes have become more advance, but products have to be manufactured in higher varieties and smaller batches. It is essential to adapt advanced manufacturing technologies and approaches (both software and hardware) to cope with the highly dynamic manufacturing requirements. In the recent decades, rapid developments in wireless sensors, communication and information network technologies (e.g. radio frequency identification-RFID or Auto-ID, Bluetooth, Wi-Fi, GSM, and infrared) have nurtured the emergence of Wireless Manufacturing (WM) as core Advanced Manufacturing Technology (AMT) in next-generation manufacturing systems (NGMS). Real-time visibility and interoperability have been considered core characteristics of next-generation manufacturing systems [1]. Pilot projects have recently been