Botond Kádár

Botond Kádár
Hungarian Academy of Sciences | HAS · MTA Computer and Automation Research Institute

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87
Publications
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Introduction
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Publications

Publications (87)
Article
Optimisation of factories, a cornerstone of production engineering for the past half century, relies on formulating the challenges with limited degrees of freedom. In this paper, technological advances are reviewed to propose a “daydreaming” framework for factories that use their cognitive capacity for looking into the future or “foresighting”. Ass...
Article
The operation of production facilities is shifting from centralized organizations towards decentralized networks. The paper investigates and compares alternative mechanisms for resource sharing in distributed manufacturing. Specifically, with the same underlying assumptions, a platform and a direct exchange-based model are presented and examined. T...
Article
Full-text available
Industry 4.0 is prominent in the current research agenda, however, measuring the Industry 4.0 readiness and maturity in manufacturing is still challenging. There is no common definition for Industry 4.0 concept, and there are several Industry 4.0 readiness evaluation methods and maturity models in the literature. These models assess the Industry 4....
Article
Nowadays, challenges are changing production facilities: decentralized production networks are replacing centralized organizations to remain competitive. This paper investigates a resource sharing approach where matching resource offers and requests are made by an intermediate platform. One of the main pillars of collaboration is to keep promises,...
Article
Manufacturing has moved from local towards global economy in the past decades enabling new paradigms to come into practice, such as distributed manufacturing which aims at increasing companies’ flexibility with a decentralized system consisting of autonomous entities. In the paper, a distributed collaboration framework of manufacturing agents is in...
Article
Full-text available
The Centre of Excellence in Production Informatics and Control (EPIC CoE) was established by an international consortium with the objective to be a leading, internationally acknowledged and sustainable focus point in its field, representing excellence in R&D&I related to Cyber-Physical Production. This 7-year project is funded by the European Horiz...
Article
Full-text available
One of the main driving forces in the era of cyber-physical systems (CPSs) is the introduction of massive sensor networks (or nowadays various Internet of things solutions as well) into manufacturing processes, connected cars, precision agriculture, and so on. Therefore, large amounts of sensor data have to be ingested at the server side in order t...
Article
The rise of Industry 4.0 and the convergence of the digital and physical worlds increasingly, where not radically, transforms the production networks. The paper presents the preliminary results of a distributed collaboration framework developed with the aim to facilitate the cooperation of various production sites. The objective is to manage a netw...
Article
In this paper a multi-modelling experiment is presented through which we have studied the possibilities of manufacturing process control supported by different digital simulation models. The main pillar of the study is a real, operating, research and demonstration cyber-physical production system which is detailed in the study. Our digital twin of...
Article
Full-text available
Pushed by the recent market trends, companies need to adapt to changeable demands, regarding both mix and volume, in order to keep their competitiveness. Modular and reconfigurable assembly systems offer an efficient solution to these changes, providing economies of scale and also economies of scope. In the previous works of the authors, novel meth...
Article
Full-text available
Crowdsourced manufacturing, a new type of manufacturing in which companies share their manufacturing resources depending on their demand and capacity, is discussed in one of the main ideas of Industry 4.0 concept. According to this, companies share their resource information and can find an outsourcing company when they need specific or extra resou...
Article
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In the paper, a novel method is introduced for selecting tuning parameters improving accuracy and robustness for multi-model based prediction of manufacturing lead times. Prediction is made by setting up models using statistical learning methods (multivariate regression); trained, validated and tested on log data gathered by manufacturing execution...
Article
Full-text available
In order to meet the continuously changing market conditions and achieve economy of scale, a current trend in the automotive industry is the application of modular reconfigurable assembly systems. Although they offer efficient solution to meet the customers needs, the management of these systems is often a challenging issue, as the continuous advan...
Article
Full-text available
One of the most significant advances in the development of computer science, information and communication technologies is represented by the cyber-physical systems (CPS). They are systems of collaborating computational entities which are in intensive connection with the surrounding physical world and its on-going processes, providing and using, at...
Article
The execution of construction projects such as a highway construction or the elevation of a new bridge is a complex, highly equipment-intensive process and are subject to many different uncertainties. This is very similar to the manufacturing execution level in production systems where predefined productions plans and schedules cannot be completely...
Article
Key Performance Indicators (KPIs) are frequently used for measuring a production systems' performance. The selection of KPIs should lead to a set being as small as possible but taking into account all relevant aspects of the system. This paper provides an analytical approach to determine the set of relevant KPIs for specific production lines, allow...
Article
Supply chains nowadays frequently face risks caused by increased environmental volatility and performance inefficiency In this paper an integrated supply chain planning approach is suggested that combines the three aspects of optimisation, risk mitigation and decentralisation. The goal of this paper is to outline the research directions for industr...
Article
This paper provides an overview of the research goals and current research status of the EU-FP7 project RobustPlaNet. A description of the general concept and vision of the project is presented and the adopted definition of robustness at plant and supply chain levels are discussed. Moreover, the RobustPlaNet approach and its innovative technologies...
Article
The frequently changing order stream and high product variety require robust planning and control approaches, as well as a flexible system structure in order to fulfill the highest possible customer service level and to keep the production costs on a reasonable level. In the paper, a combined production planning and capacity control method for asse...
Article
Operating current production systems influenced by the factors of increasing dynamics and volatility poses a need for robustness. Among different enablers for robustness the appropriate ones for specific production systems have to be identified and evaluated. In this cooperative paper multi-objective decision support models will be presented evalua...
Article
Full-text available
Managing changes and disturbances resulted by fluctuating order streams and diverse product portfolios requires efficient capacity management decisions and production planning strategies. High volume products can be produced cost efficiently on dedicated assembly lines, while the assembly of low runners is more efficient on reconfigurable lines. In...
Article
Full-text available
Companies with diverse product portfolio often face capacity planning problems due to the diversity of the products and the fluctuation of the order stream. High volume products can be produced cost-efficiently in dedicated assembly lines, but the assembly of low-volume products in such lines involves high idle times and operation costs. Reconfigur...
Patent
Full-text available
A control unit (120) of a production index information generating device (100) groups, based on log information of a production device, processing targets to generate groups for which end time of processing falls within a predetermined interval, classifies the processing targets contained in the groups into classes based on a number of the processi...
Article
Full-text available
In the last few decades the evaluation and analysis of manufacturing systems’ behavior and their performance became very important. Digital enterprise technologies, as for example discrete-event simulation (DES), are effective tools both in production related decision making processes and in structure and performance analysis of manufacturing syste...
Article
Full-text available
Modelling, simulation and evaluation of manufacturing systems are relevant activities that may strongly impact on the competitiveness of production enterprises both during the design and the operational phases. This paper addresses the application of a semantic data model for virtual factories to support the design and the performance evaluation of...
Article
Full-text available
One of the most widespread techniques to evaluate various aspects of an existing manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system needs great resource expenditures. Automated data col-lection and model buildup can drastically reduce the time of the design phase as well as suppor...
Conference Paper
Full-text available
The paper introduces a discrete-event simulation-based decision supporting system aiming at automatically mirroring the current state of a large-scale material handling system of a production system in a digital model and supporting the analysis of diverse control settings and rules. The discrete-event digital model is built in an automated way and...
Article
This research paper introduces a development of production management method for equipment maintenance scheduling and work-in-process (WIP) dispatching or scheduling in re-entrant flow manufacturing systems. The method utilizes and combines two published technologies: discrete event-driven simulation and critical ratio dispatching rule. The researc...
Conference Paper
Due to the large number of the resources, the frequent reengineering of manufacturing processes and the often changing product types, the maintenance of the simulation model and the provision of up-to-date input data are almost always difficult. The paper introduces new quantitative analysis method including processing time and batch calculation al...
Chapter
In this chapter we review the basic functionalities and latest developments of web-based simulation and we also present the DiFac solution where the discrete event simulation is made available as a service through a web-based user interface. This solution enables SMEs to exploit the features of a powerful simulation tool as an e-service. The requir...
Article
Full-text available
Unexpected disturbances and local decisions almost always deteriorate the execution of manufacturing plans. Digital enterprise technologies are hard to use, due to the complexity of production and the frequently changing circumstances. One of the main goals of the research described in the paper is the automatic model building of the discrete-event...
Article
Full-text available
The problem each manufacturer repeatedly faces is how to meet demand by making available the required quantities of products in the specified quality and at proper time. From the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasized by the European initi...
Article
Full-text available
Digital enterprise technologies combined with sophisticated optimization algorithms can significantly contribute to the efficiency of production. The paper introduces a novel approach for integrated production planning and control, with the description of the mathematical models and solution algorithms. The deterministic optimization algorithms are...
Article
Full-text available
Digital enterprise technologies combined with sophisticated optimization algorithms can significantly contribute to the efficiency of production. The paper introduces a novel approach for integrated production planning and control, with the description of the mathematical models and solution algorithms. The deterministic optimization algorithms are...
Article
In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasized by the European initiative Manufuture, two additional requirements, i.e., the real-timeness and cooperativeness of production structures are also outlined in the paper, which are of...
Article
Full-text available
The paper discusses the main requirements that are posed by customised mass production towards managing production networks. Special emphasis is put on real-time, cooperative behaviour. We present a large-scale national industry-academia R&D project aimed at improving the performance of a production network that produces consumer goods in large qua...
Article
Full-text available
The paper tackles the problem of managing the uncertainties during the execu- tion of predictive schedules in a dynamic environment. The dynamic environ- ment in question is represented by a simulation model - connected to a produc- tion scheduler system - with flexible modelling capabilities. The paper ad- dresses the simulation module of the prop...
Article
The paper summarises the main challenges and problems related to customised mass production. In the elaborated solution the reference for real-time production control is generated by a novel scheduling system. Detection of changes and disturbances emerging during the daily production is based on the integration of information coming from the proces...
Article
The paper proposes a simulation-based evaluation technique for the testing, validation and benchmarking of rescheduling methods. Dynamic and stochastic scheduling problems with possible scheduling environments are presented. Based on our review of the related literature, frequently applied rescheduling approaches for solving dynamic and stochastic...
Article
A mesterséges intelligencia technikák (sokszor más diszciplínák eredményeivel integrálva) nyújtják talán a legígéretesebb eszközöket (pl. mesterséges neurális hálózatok, fuzzy megközelítések, szakértő rendszerek) az intelligens gyártórendszerek által új kihívások megválaszolására. A szub-szimbolikus technikák (pl. a mesterséges neurális hálók) legi...
Article
The paper tackles the problem of managing uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model - connected to a production scheduler system - with flexible modelling capabilities. The paper addresses the simulation module of the proposed archite...
Article
Full-text available
The paper presents an adaptive iterative distributed scheduling algorithm that operates in a market-based production control system. The manufacturing system is agentified, thus, every machine and job is associated with its own software agent. Each agent learns how to select presumably good schedules, by this way the size of the search space can be...
Article
In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasised by the European initiative Manufuture, two additional requirements, i.e., the real-timeness and cooperativeness of production structures are also outlined in the paper, which are of...
Article
Full-text available
The paper summarizes the main ideas and results for realizing agile manufacturing systems having active disturbance handling approach for real-time manufacturing control. The intelligent integration of information received from production-, quality and process monitoring systems is addressed as the enabler of the approach.
Article
Full-text available
In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge-based manufacturing, and networked manufacturing, emphasised by the European initiative Manufuture, two additional requirements, i.e., the real-timeness and cooperativeness of production structures are also outlined in the paper, which are of...
Conference Paper
The paper outlines a discrete-event simulation environment for modeling agent-based manufacturing systems. Exploiting the advantages of a general discrete-event simulation package, in the developed system agent-based features are directly included in the simulation environment providing the possibility to build agent-based models inside the simulat...
Article
Full-text available
In addition of the four main R&D directions, i.e., adaptive manufacturing, digital manufacturing, knowledge- based manufacturing, and networked manufacturing, emphasised by the European initiative Manufuture, two additional requirements, i.e., the real-timeness and cooperativeness of production structures are also outlined in the paper, which are o...
Article
Full-text available
Distributed (agent-based) control architectures offer prospects of reduced complexity, high flexibility and a high robustness against disturbances in manufacturing. However, it has also turned out that distributed control architectures, usually banning all forms of hierarchy, cannot guarantee optimum performance and the system behaviour can be unpr...
Article
The paper presents a hierarchical architecture of an integrated production planner and job-shop scheduler system with flexible modelling capabilities and powerful, scalable solution methods. The paper tackles the problem of handling uncertainty during the execution of predictive schedules in a dynamic environment. It addresses the simulation module...
Article
Full-text available
The paper discusses the job shop scheduling problem and schedule measurement techniques, especially outlining the methods that can be applied in a dynamic environment. The authors propose a periodic rescheduling method by taking the rescheduling interval and schedule stability factor as input parameters into consideration. The proposed approach is...
Conference Paper
Full-text available
Today's complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt production to current internal and external circumstances. Partly based on a running national research project on digital enterprises and production networks, t...
Conference Paper
Full-text available
Scheduling problems, e.g., a job-shop scheduling, are classical NP-hard problems. In the paper a two-level adaptation method is proposed to solve the sched- uling problem in a dynamically changing and uncertain environment. It is applied to the heterarchical multi-agent architecture developed by Valckenaers et al. Their work is improved by applying...
Article
The paper presents an integrated production planner and job shop scheduler system with flexible modeling capabilities and powerful, scalable solution methods. The system generates close-to-optimal production and capacity plans on the medium term, and detailed production schedules on the short-term. However, the constraint -based, deterministic sche...
Article
Full-text available
The paper describes the possible roles of the simulation and emulation in production planning and scheduling as well as in production control systems through a case-study for optimizing the internal logistic system of a given production system. In the study focuses on the control of a transportation unit and automated storage and retrieval system a...
Article
The paper briefly introduces the main distributed artificial intelligence approaches to support the realization of distributed manufacturing structures, such as agent-based and holonic manufacturing systems. Two attempts to enhance the performance of agent-based manufacturing systems using adaptation/learning techniques are presented. New agent-lev...
Conference Paper
The paper outlines two attempts to enhance the performance of agent- based manufacturing systems using adaptation/learning techniques. Some agent-level parameters are introduced, by which the system behavior can be tuned. The research was carried out with the help of a simulation framework for agent-based manufacturing architectures developed by th...
Chapter
Knowledge-based hybrid systems (KBHSs) play an increasing role in industrial applications. New techniques of artificial intelligence (AI) such artificial neural networks (ANNs), genetic algorithms (GEs), machine learning (ML), or the fuzzy set theory have created new ways of solving problems. Most of these new techniques, however, are not appropria...
Article
Full-text available
This discussion paper examines the role of hierarchy within the domain of shop floor control in manufacturing plants. Specifically, three distinct structures for shop floor control are considered, namely, hierarchical, heterarchical and holonic control systems. Holonic manufacturing is a novel paradigm for manufacturing that tries to merge the best...
Article
In the paper different architectures with partly self-developed simulation packages are described illustrating the benefits of combining simulation and machine learning (ML) techniques in manufacturingintelligence (AI) and ML side, artificial neural networks, heuristic search, simulated annealing, and agent-based techniques are put into action. The...
Article
Full-text available
Today's complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt their production to current internal and external circumstances. Partly based on a running national research project on digital enterprises and production netwo...
Article
Az Elosztott, moduláris termelési struktúrák modellezése, tervezése és irányítása című OTKA-projekt résztvevői új eredményeket értek el az ágens-alapú gyártás, a valósidejű kooperatív vállalatok, a termelésütemezés és újraütemezés, a sztochasztikus, dinamikus termelésirányítás, a gyártás-szimuláció és termékkövetés terén. Az eredményeket 45 publiká...
Conference Paper
Management of complexity, changes and disturbances is one of the key issues in production today. Distributed, agent-based (holonic) structures represent viable alternatives to hierachical systems provided with reactive/proactive capabilities. The paper outlines the difficulties which hinder their industrial acceptance. Several approaches to overcom...
Article
Full-text available
Today's complex manufacturing systems operate in a changing environment rife with uncertainty. The performance of manufacturing companies ultimately hinges on their ability to rapidly adapt their production to current internal and external circumstances. Two main kinds of approaches to dealing with the enumerated problems are: to enhance the reacti...
Article
Full-text available
Manufacturing systems today operate in a changing environment rife with uncertainty and disturbances. Difficulties arise from unexpected tasks / events, nonlinearities, and a multitude of interactions, possible failures while attempting to control various activities in dynamic shop floors. The fundamental aim of the paper is to outline reactive and...
Article
Management of complexity, changes and disturbances is one of the key issues in production today. Distributed systems, such as holonic systems, offer an architecture that decreases the centralisation and rigidity, and increase the flexibility of the plant, but at this time the coordination of goals of local agents is unresolved. In the paper a GA-ba...