Разработка СРЕДСТВА автоматизации моделирования ИНТЕЛЛЕКТУАЛЬНОЙ системы управления Гибкой производственной системой

The tendency of recent production technologies towards both batches of small/medium size and part families of increasing variety often comes into conflict with the demand for high productivity, i.e. production-time minimization and simultaneous improvement of machine utilization. Flexible production systems possess the ability to attain efficiency and versatility by producing a wide range of different product families with minimal effort in changing the involved manufacturing environment. Nevertheless, the production system's flexibility and degree of reliability depend fundamentally on the flexibility and reliability of the embedded control system. This paper reports on the design and realization of a multi-agent-based distributed control system for flexible production systems, which covers both conventional control equipment as well as embedded control agents. The agent components are implemented as Windows NT services and logic control programs interfaced via DCOM and an Ethernet. The results of the application in an industrial flexible production system are used to show the effectiveness of the proposed approach.

We present the structure and the use of a knowledge database of tunnel for teaching purposes. This database, called KBT, is complementary to the e-learning tool DIDACTU. The development of KBT will give an important help to teaching providing text an images to illustrate courses. 2000). Words are ambiguous, so we must express them with definitions in order to resolve their ambiguity. A word and its definition is what we call a “concept”, which refers to every and each item which matches the definition and – hence – the name. So, that we call concept is each thing and tool clearly identified in tunnel works. A jumbo, a beam, a computer code, a theory are concepts. The identification of these concepts is done by automatic language treatment running on chosen texts. An expert of the world of tunnel give definition for any concept and set it in a tree that checks subsumed relations (IS A) between all concepts. The same process applies to various relations between concepts, mainly aggregation (IS A PART OF); the sum of these various trees, featuring the same concepts, offers a kind of common reference for concepts organisation in the field of tunnels. This helps to define some conceptual neighbourhoods, which, we hope, will allow some reasoning in a next future or for the educational software DIDACTU a new kind of navigation and for the knowledge base KBT a new query mode. This part is still under development, and shall be presented next symposium. 3 MAIN CONCEPTS LEADING TO THE KBT DATABASE 3.1 What is an “interesting” tunnel and for what use? When teaching, examples are used for showing some feature or some problem that may occur during the construction of a tunnel. Interesting tunnel are these where something unexpected occurs and where an original solution must be founded. For a teacher, but also for a young engineer, the discussion that can develop when showing the case is usually fruitful, and the student will remember the causes of the incident and its remedial. Several cases, well chosen, would be an appreciated help when teaching, or for new engineers, who wish to upgrade their own knowledge. 3.2 What were the previous works about databases? The previous works about on-line databases are numerous, and the authors contributed to these progresses (Faure et al, 1992). A recurrent subject of discussion about that kind of database is the property of the data. In the WASSS project (Faure, 1999), (Faure et al, 2001) we have decided to share the data into two parts, the first one that we call meta-data, which are information on the data, and the data itself. The meta-data are access free, but the detailed data remains under the acknowledgement of its owner. It is quite heavy and we worried about the management of the rights (Faure et al, 2002). For the actual release of KBT we skip that approach and we think that all data must be free for a gentle use of the database. One other aspect of that kind of database is the feeding of it. Preparation of a case must be very light, if we want obtain numerous cases. We observed that for a men knowing correctly the case he want to display, the capture of the structured data all must no be longer than few minutes, and we conceive KBT as to agree with this constraint. The building of the web 316 Figure 1. First page when entering DIDACTU with the link to KBT. pages presenting the case may be longer, but as the form is completely free, it is easy for the writer to describe his case generally already existing on an other format, and he can use images, maps, sketches and also web links. The WEB page(s) is written in his own language, as KBT allows the use of several languages. 4 THE ON-LINE KBT DATABASE KBT means: “Knowledge data Base for Tunnels”. The word knowledge is used in its full signification, that is to say, that we want collect not only information about tunnel, but also reasoning about it when an incident occurs. For this, when filling the database four kinds of data are asked in a chosen language among French, Italian, Spanish, German and English. 4.1 What data for KBT? 4.1.1 General data about the tunnel These data are asked in a form, the user must fill: Name of the tunnel Country GPS coordinates of the two entrances Owner of the tunnel Builder (name of the company) Number of tubes Mean declivity Shape of section (circular, horse shoe shape, elliptic, rectangular....) (a combo list) Length of the tunnel Excavated volume Name of the road (railways) that uses the tunnel Date of the opening Date of writing the form Name of the writer Used language for web pages.

For a complex product production, any flexible manufacturing system with a work-in-process inventory is recommended for a supply chain management (SCM) system. Building a flexible manufacturing system increases the total cost of the supply chain; for this reason, a discrete investment is important. For flexible production systems, production rate within a finite specific interval of production rate as work-in-process inventory is calculated. The aim of the supply chain is to reduce the total cost when demand during the lead time is a random variable with a normal distribution. A crashing cost is utilised to reduce the duration of lead time within the supply chain system. A model is proposed to obtain the optimal flexible production rate with the reduced total cost of the supply chain. A classical optimisation technique is employed to obtain the closed-form and quasi-closed-form solutions of the decision variables. An improved algorithm is designed to obtain the global minimum cost of SCM under the framework of a flexible production system. An illustrative numerical example and sensitivity analysis are given to test the model. A numerical study proves that this model obtains the minimum cost with the optimal decision variables.

Object Recognition for an Agent-Based Controlled Mobile Robot

Proteins are cellular macromolecules made up of linear chains of amino acids that adopt a unique three-dimensional structure to carry out specific biological functions. Amongst various computational approaches developed for Protein Structure Prediction (PSP), ab initio methods perform the prediction without prior knowledge of known structures. However, due to huge computational complexity incurred by these methods, simplified hydrophobic-polar (HP) models are often used for the investigations. Despite this simplicity, PSP continues to be a hard combinatorial optimization problem requiring development of efficient heuristic search techniques. Memetic algorithm (MA), with its flexible architecture, encompasses the strength of both local and global search and has shown promise in solving problems with complex search landscape, including PSP. This thesis is focused on developing an effective ab initio technique under a suitable MA framework for solving the PSP problem using low resolution HP models. To enhance the effectiveness of the MA, a mechanism is devised to include knowledge from the problem domain by exploiting the concept of hydrophobic-core (H-core) formation. The size of the maximal possible H-core is estimated and the approximation is validated by our proposed deterministic search technique. Further, a new knowledge-based initial population generation technique ensures generating conformations which are not only valid, but also maintain diversity in the population. This helps to commence the search with good seeds leading towards faster convergence. While solving the PSP problem using MA, the greatest intricacy arises from the complex nature of its multi-modal landscape. Like all the evolutionary algorithms (EAs), MAs have the tendency to get trapped into local minima due to selection pressure and genetic drift induced by the genetic operators, and techniques are necessary to surmount this difficulty. A novel parental selection technique called “Adaptive Strategy for Assortative Mating” is developed that dynamically distributes the re production opportunity among the individuals of the population to boost the effectiveness of cross-over. Further, a new survival selection strategy, namely “Sib-based Survival Selection”, prevents the rapid spread of genetic material from a particular individual to other members in the population, ensuring the concurrent preservation of several potential solutions, and restricting premature convergence. A new diversification mechanism, namely “Memory-based Diversification”, systematically diversifies the population by introducing new genetic material whenever it gets stuck at local peaks and allows it to proceed for further progress. An extensive experimental analysis is also reported on the influence of all three techniques proposed to maintain the diversity of population. Furthermore, in order to carry out the conformational search efficiently, especially with the increase in sequence length, the optimization technique is designed such that it provides an effective balance between exploration and exploitation. A robust Multimodal Memetic Framework has been developed where optimization is accomplished in hierarchical stages. The population of each stage is partitioned into three different states: an Exploratory state to locate promising peaks, an Exploitative state to fine-tune the solutions found in the Exploratory state of the previous stage, and finally, a Central state to carry out the formation of potential solutions to explore the undiscovered regions. Non-identical genetic operators have been implemented in each state to balance the exploration and exploitation by employing necessary selection pressure and diversity. A non-isomorphic encoding based technique has been developed to capture the sub-structures that are representing a particular region. Furthermore, a novel local search technique exploits already explored fit individuals by employing the knowledge of sub-structures. The efficacy of the proposed framework is demonstrated with an adequate number of distinctive data sets and comparison with state-of-the-art methods.

Optimizing Efficiency and Flexibility in Modern Flexible Manufacturing Systems explores how today’s manufacturers can achieve both high performance and adaptability in an increasingly complex and fast-changing industrial landscape. Blending theory with real-world case studies, the book presents key strategies, tools, and technologies such as scheduling algorithms, simulation models, Industry 4.0, artificial intelligence and digital twins. With clear explanations and practical insights, it guides readers through the challenges of balancing efficiency with flexibility in production systems. Whether you are a researcher, industry professional or student, this book offers essential knowledge to understand, navigate, and improve modern flexible manufacturing environments.

This article proposes an innovative approach to optimizing scheduling in reconfigurable production systems, with a focus on minimizing resource allocation in a dynamic environment while considering time constraints and resource availability. We present a methodology based on intelligent Petri nets to model and solve this complex problem. Our approach aims to maximize operational efficiency and flexibility of production systems while ensuring optimal performance in the face of unforeseen events and changing market demands. We illustrate the effectiveness of our approach through a case study in a real industrial context, demonstrating the tangible benefits it offers in terms of optimizing production processes and reducing costs.

The development and use of industry solutions intended to increase the autonomy and flexibility of production systems. The objective is to enable systems to autonomously reconfigure, resulting in enhanced adaptability and efficiency in manufacturing procedures. Achieving such goals requires Cyber-Physical Industrial Systems (CPPSs), which integrate digital technologies with industrial processes. A digital twin (DT) serves as the core component of the ‘cyber’ layer in their design, which is built on both physical and cybernetic features. Nevertheless, to respond swiftly to changes in the manufacturing systems environment, the cyber layer’s answers need sophisticated analytical modules to be added to their virtual equivalent. In this study, the researcher provides a strategy for developing CPPS-specific digital twin production systems using a combination of discrete simulation and deep reinforcement learning (DRL) methods. The digital twin serves as a medium of communication between the reinforcement learning agents and their environment to devise a plan for distributing production resources among certain activities. The methods used for this study are Proximal Policy Optimization and Asynchronous Advantage Actor-Critic.

United States of America is a country that has a decentralized management system and federal form of government structure. Management system offers three tiered structure. Federal government is in the first level of administrative unit, states are in the second level of administrative units and local governments are the third level of administrative unit. Local government’s structure and quality varies from state to state. Therefore, each local government unit has its own unique features. Local governments in the USA can be classified in the form of county, municipal, town and village, school districts and special districts. However, sometimes a local government unit that has the same structure is also structured with a different name in another state. In this paper, management structure of USA, local government’s financial structure and its relationship with the central government have been examined.

Automatic production systems with rigid inter-aggregate relation are widely used: automatic lines, etc. There are alternative solutions as flexible production systems that allow quick changeovers for the production of various applications. The main trends in systems with rigid relations and reconfigured systems with flexible relations are discussed. The main tendencies are defined. The required properties of the recomposed production systems are determined. Two main directions of development of this type of systems are revealed.

Flexibility and productivity in complex production processes

Laminate zeolite structure prepared using papermaking techniques for carbon dioxide capture: synthesis, characterisation and performance

As more users are willingly participating in the creation of web contents, flat folksonomy using simple tags has emerged as a powerful instrument to classify and share a huge amount of knowledge on the web. However, flat folksonomy has semantic problems, such as ambiguity and misunderstanding of tags. To alleviate such problems, many studies have built structured folksonomy with a hierarchical structure or relationships among tags. However, structured folksonomy also has some fundamental problems, such as limited tagging to pre-defined vocabulary for new tags and the timeconsuming manual effort required for selecting tags. To resolve these problems, we suggested a new method of attaching a categorized tag (CT), followed by its category, to web content. CTs are automatically integrated into collaboratively-built structured folksonomy (CSF) in real time, reflecting the tag-and-category relationships by majority users. Then, we developed a CT-based knowledge organization system (CTKOS), which builds the CSF to classify organizational knowledge and allows us to locate the appropriate knowledge.

Over the past sixteen years, newspaper PCSs (Production Control Systems) have been developed to support newspaper production, so that newspaper publishers can offer the most up to date information to the greatest possible number of readers in a timely manner while keeping production costs low. Up to now, the chief goal has been to produce a predetermined number of copies of a stylized newspaper (using a set layout and set number of pages) as efficiently and accurately as possible. However, in today's information-oriented society, readers and advertising clients have come to expect low cost newspapers that reflect their various interests and demands. To satisfy these, a PCS should aim at providing a reliable and flexible production system that allows immediate changes in format and circulation volume according to article contents, as well as coordinated production (printing and delivery) between locally distributed printing plants. In this paper, a new newspaper PCS architecture and data-processing and networking techniques are discussed based on an autonomous decentralized system (ADS). The architecture provides a system that allows flexible change of the production schedule, while ensuring reliability, because it has autonomous filtering functions that distinguish between different kinds of data, namely control data and man-machine data. The Asahi Shimbun newspaper company currently uses this highly effective system in its Setagaya printing plant.

Model-based development (MBD), which utilizes system models to design complex products, has received increasing attention. However, an advanced control system design scheme is required to accurately control the developed products under harsh conditions for practical usage. This paper proposes a control system that integrates a data-driven compensator (DDC) with a model-based control (MBC) system design. The proposed method considers a hierarchical control structure comprising an upstream control system based on the MBC design approach and a downstream control system that includes a plant control loop with a DDC. The proposed system can always maintain the desired performance by driving the MBC based on an ideal model because the downstream control system, DDC, maintains the characteristics of the ideal model even if the plant properties change owing to changes in operational and/or environmental conditions. In this study, the design scheme for unifying models and data in the MBD process is called smart MBD (S-MBD), and the proposed control system design scheme is based on the S-MBD approach. The effectiveness of the proposed hierarchical control system is verified by applying it to a hydraulic excavator.