Smartening production process of industrial papers (original) (raw)

Towards a New System Concept in the Paper Production Automation

IFAC Proceedings Volumes, 1992

TIlls paper presents some results of field studies of six different paper production lines. The aim of the research was to analyze the need of flexibility in paper production and its impacts on both organizational and technological issues. This paper deals mainly with the latter ones. The results of the research show an increased need of flexible operation of the paper process. To effectively support these features some sophisticated p£Operties are required of the automation and information systems. One main principle is integration of knowledge in both horizontal and vertical directions along the production line.

Towards the integration of process and quality control using multi-agent technology

2011

The paper introduces a vision on the design of distributed manufacturing control systems using the multi-agent principles to enhance the integration of the production and quality control processes. It is highlighted how agent technology may enforce interaction of manufacturing execution system and distributed control system, enhancing the exploitation of the available information at the quality control and process control levels. A specific focus is made on a suitable engineering methodology for the design and realization of such concept. Innovation is also presented at the level of adaptive process control and self-optimizing quality control, with examples related to a home appliance production line.

Behavior of Industrial Manufacturing When Managed by Mult-Agent Systems

Proceedings of the 19th IFAC World Congress, 2014

The requirements of industrial manufacturing indicate a need for reconfiguration and reprogramming process flow, in order to meet changes in the product with the changing market requirements. The sizes of production lots are getting smaller and the variety of products on the same line has increased. These changes imply changes in the manufacturing process, which in many cases means changing the layout, reprogramming the systems, etc. This makes the preparation time of manufacturing devices an important factor in the formation of the final cost. Devices with more autonomy, able to manage themselves and allow a rapid exchange of features are still to be desired in a manufacturing environment, where conventional systems with centralized scheduling, with defined sequence in the central controller and array of features still fall short. But new solutions must be compared in performance with traditional solutions as there are features that traditional systems are performing well, and that are still on the market. Comparing a solution using multi-agent systems and using a solution centric management on a Programmable Logic Controller can clearly define which metric systems have better performance.

Agent-based manufacturing — review and expert evaluation

The International Journal of Advanced Manufacturing Technology

The advent of smart manufacturing and the exposure to a new generation of technological enablers have revolutionized the way manufacturing process is carried out. Cyber-Physical Production Systems (CPPS) are introduced as main actors of this manufacturing shift. They are characterized for having high levels of communication, integration and computational capabilities that led them to a certain level of autonomy. Despite the high expectations and vision of CPPS, it still remains an exploratory topic. Multi-Agent Systems (MAS) have been widely used by software engineers to solve traditional computing problems, e.g., banking transactions. Because of their high levels of distribution and autonomous capabilities, MAS have been considered by the research community as a good solution to design and implement CPPS. This work first introduces a collection of requirements and characteristics of smart manufacturing. A comprehensive review of various research applications is presented to underst...

A review paper on Multi agent base intelligent manufacturing system

Today, hot topic for researchers is intelligent manufacturing system and its new paradigms to face the problems and challenges of the 21st century’s manufacturing industry. A new approach with this new paradigms is problem solving through decomposition and agent base solution is seen as one of the promising in responding to the needs of next generation manufacturing system. Researchers have attempted to apply multi-agent base technology to achieve autonomy, decentralization, flexibility, reliability, efficiency, learning, and self regeneration characteristics in manufacturing system. This paper provides a review on the recent achievements in these areas, and discusses some key issues in implementing agent-based intelligent manufacturing systems such as IMS structure, concept of MAS and its architecture, application domains, advantages, challenges, agent development tools and migration to MAS. Keywords— multi-agent system (MAS), intelligent manufacturing system (IMS), distributed manufacturing systems (DMS), flexible manufacturing systems (FMS).

The Migration from Conventional Manufacturing Systems for Multi-Agent Paradigm: the First Step

IFIP Advances in Information and Communication Technology, 2015

The consumer market ever more calls for diversified products in small batches and the industry lacks production systems that meet the demands with efficiency and ability to adapt quickly. Integrated manufacturing systems implemented have their management for programmable logic controllers and electrical interconnections, control logic and satisfactory robustness, but they do not attend the needs of diversity and flexibility in production. The solutions to these needs refer the company to migrate to the use of new technologies of control, circuit and logic. But, for an industry migrates is a very big and expensive step. Then, there is an urgent need for methods that implement the interface between logic controllers and multi-agent systems in order to evolve an integrated manufacturing system taking advantage of all electrical circuitry, control logic and the logic controller that installs itself, taking advantage of the self-adapting characteristics that the multi-agent systems provide.

Intelligent Agents for Production Systems, In Intelligent Agent-based Operations Management

The paper focuses on development of new approaches based on interactions between intelligent agents, operating at product and process level in production system. These agents are able to define the right coupling, to evaluate task assignments and to adjust product and process parameters, thus to perform automatic reconfiguration of the system. They integrate quantitative and cognitive data processing, associated with learning capabilities. Improvement works are still in progress to integrate such upgrades and enhancements in the next generation of production systems. Different schemes of implementation are proposed: VFDCS simulator within the PABADIS EC-funded Project. RÉSUMÉ. Le papier se concentre sur le développement de nouvelles approches basées sur les interactions entre des agents intelligents au niveau du produit et du processus dans un système de production. Ces agents peuvent définir le bon couplage entre eux en évaluant de tâches et en ajustant les paramètres, dans le but d'avoir une reconfiguration automatique du système. Ils intègrent et traitent des informations quantitative et cognitive, avec des capacités d'apprentissage. Des travaux en cours visent à intégrer de telles approches et perfectionnements dans des systèmes de production. On propose différentes structures de mise en place : le simulateur VFDCS et le projet européen PABADIS IST-60016.

INTEGRATED PROCESS PLANNING AND PRODUCTION CONTROL BASED ON THE APPLICATION OF INTELLIGENT AGENTS

2002

Modern manufacturing is in need of flexible and adaptive concepts for process planning, production control, and scheduling. However, strong borderlines exist in industrial production caused by an extreme specialisation and seperated historical paths of system evolution. Thus, a gap exists between the involved systems, which implies loss of time and information and in consequence a prolonged time-to-market. The application of

Intelligent Multi-Agent Based Information Management Methods to Direct Complex Industrial Systems

Intelligent Information Management, 2012

In recent years, the increasingly complexity of the logistic and technical aspects of the novel manufacturing environments, as well as the need to increase the performance and safety characteristics of the related cooperation, coordination and control mechanisms is encouraging the development of new information management strategies to direct and manage the automated systems involved in the manufacturing processes. The Computational Intelligent (CI) approaches seem to provide an effective support to the challenges posed by the next generation industrial systems. In particular, the Intelligent Agents (IAs) and the Multi-Agent Systems (MASs) paradigms seem to provide the best suitable solutions. Autonomy, flexibility and adaptability of the agent-based technology are the key points to manage both automated and information processes of any industrial system. The paper describes the main features of the IAs and MASs and how their technology can be adapted to support the current and next generation advanced industrial systems. Moreover, a study of how a MAS is utilized within a productive process is depicted.