The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The books main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology

An Introduction to MultiAgent Systems.

Over the last few years, the fourth industrial revolution has attracted more and more attentions all around the world. In the current literature, there is still a lack of efforts to systematically review the state of the art of this new industrial revolution wave. The aim of this study is to address this gap by investigating the academic progresses in Industry 4.0. A systematic literature review was carried out to analyse the academic articles within the Industry 4.0 topic that were published online until the end of June 2016. In this paper, the obtained results from both the general data analysis of included papers (e.g. relevant journals, their subject areas and categories, conferences, keywords) and the specific data analysis corresponding to four research sub-questions are illustrated and discussed. These results not only summarise the current research activities (e.g. main research directions, applied standards, employed software and hardware), but also indicate existing deficiencies and potential re...

Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal

Purpose: Lean Manufacturing is widely regarded as a potential methodology to improve productivity and decrease costs in manufacturing organisations. The success of lean manufacturing demands consistent and conscious efforts from the organisation, and has to overcome several hindrances. Industry 4.0 makes a factory smart by applying advanced information and communication systems and future-oriented technologies. This paper analyses the incompletely perceived link between Industry 4.0 and lean manufacturing, and investigates whether Industry 4.0 is capable of implementing lean. Executing Industry 4.0 is a cost-intensive operation, and is met with reluctance from several manufacturers. This research also provides an important insight into manufacturers’ dilemma as to whether they can commit into Industry 4.0, considering the investment required and unperceived benefits. Design/methodology/approach: Lean manufacturing is first defined and different dimensions of lean are presented. Then Industry 4.0 is defined followed by representing its current status in Germany. The barriers for implementation of lean are analysed from the perspective of integration of resources. Literatures associated with Industry 4.0 are studied and suitable solution principles are identified to solve the abovementioned barriers of implementing lean. Findings: It is identified that researches and publications in the field of Industry 4.0 held answers to overcome the barriers of implementation of lean manufacturing. These potential solution principles prove the hypothesis that Industry 4.0 is indeed capable of implementing lean. It uncovers the fact that committing into Industry 4.0 makes a factory lean besides being smart. Originality/value: Individual researches have been done in various technologies allied with Industry 4.0, but the potential to execute lean manufacturing was not completely perceived. This paper bridges the gap between these two realms, and identifies exactly which aspects of Industry 4.0 contribute towards respective dimensions of lean manufacturing.

https://www.econstor.eu/bitstream/10419/188791/1/v09-i03-p0811_1940-8953-1-PB.pdf

Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing

Lean Automation enabled by Industry 4.0 Technologies

Many of the initial developments towards the Internet of Things have focused on the combination of Auto-ID and networked infrastructures in business-to-business logistics and product lifecycle applications. However, the Internet of Things is more than a business tool for managing business processes more efficiently and more effectively it will also enable a more convenient way of life.Since the term Internet of Things first came to attention when the Auto-ID Center launched their initial vision for the EPC network for automatically identifying and tracing the flow of goods within supply-chains, increasing numbers of researchers and practitioners have further developed this vision. The authors in this book provide a research perspective on current and future developments in the Internet of Things. The different chapters cover a broad range of topics from system design aspects and core architectural approaches to end-user participation, business perspectives and applications.

/pdf/architecting-the-internet-of-things-3xs64u6h77.pdf

Architecting the Internet of Things

Automation and material handling technologies for in-house logistics tasks are widely applied. Generally, modules of the automation systems are planned, programmed, and commissioned according to specific requirements. Constantly changing conditions and flexible demands of production processes pose new challenges for the dynamic composition of various system components. Cyber-physical systems (CSP) propose an approach for storing and processing additional data of a physical system in a virtual representation. The paper illustrates an agent-based architecture for dynamic and modular control of single material handling equipment within a logistics system. Specifically, the paper addresses the issue of modeling and operating physical interfaces based on multi-agent communication and points out the benefits of this approach. The evaluation of the approach is done by implementing it into real industrial material handling equipment and gives a valuable insight into the prospects and challenges of cyber-physical concepts.

Agent-based Control for Material Handling Systems in In-House Logistics - Towards Cyber-Physical Systems in In-House-Logistics Utilizing Real Size

Agent-based Control for Material Handling Systems in In-House Logistics

This chapter discusses the contribution of the Internet of Things for providing a fine-grained information infrastructure within collaborative production environments. Such infrastructure makes up-to-date information available to autonomous objects to render contextual decisions that evolve elemental agility. A technical discussion illustrates the feasibility of autonomous objects as well as their possible involvement in the Internet of Things. Additionally, a demonstrator is described, which exemplifies the effects of autonomous objects on agile processes within the automotive industry. Concluding, the chapter relevant research questions in the field of the Internet of Things and collaborative production environments are specified.

The Role of the Internet of Things for Increased Autonomy and Agility in Collaborative Production Environments

Cyber-physical system platforms are information infrastructures connecting different cyber-physical systems and other information systems. This infrastructure is the base for realizing the “Industrie 4.0” paradigm aiming for collaborative industrial processes involving smart objects and smart factories. In inter-organizational value networks, a cyber-physical system platform becomes a shared resource that has to be managed cooperatively along its lifecycle. This paper looks at cyber-physical system platforms from a lifecycle perspective. It describes the complexity of networks of cyber-physical systems and cyber-physical system platforms within value networks and the resulting restrictions influencing their various lifecycles. A selection of different lifecycle models from literature is reviewed to extract aspects that provide a promising basis for the development of a specific lifecycle model of cyber-physical system platforms.

/pdf/considerations-on-a-lifecycle-model-for-cyber-physical-1eo2uyo3pd.pdf

Considerations on a Lifecycle Model for Cyber-Physical System Platforms

The purpose of this paper is to present our research on applying semantic modelling and ontologies to the issues of products and services. Two selected issues are discussed: i) the collection and reuse of product-service lifecycle data in an IoT-enabled framework. The role of product-service ontology is demonstrated as a backbone of vehicle lifecycle management, ii) ontologies and semantic interoperability as enabling technologies for the creation of services such as charging location finding or traffic information services. In both cases, a particular product -- electric vehicle with electric battery -- is taken into account as a case study.

Semantic Model for IoT-Enabled Electric Vehicle Services: Puzzling with Ontologies

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