Smart Manufacturing and Industry 4.0: A Preliminary Approach in Structuring a Conceptual Framework

Author(s):  
Eleni Didaskalou ◽  
Petros Manesiotis ◽  
Dimitrios Georgakellos

Engineering concepts usually, are complex concepts, thus many times are difficult for infusing into curriculums or to be comprehensive for practitioners. A concept that still now is not fully understandable is that of Industry 4.0, an approach that increases the complexity of production systems. Nowadays production systems are facing new challenges, as physical productions systems and internet technologies are directly linked, hence increasing the complexity but also the productivity of the systems. The paper introduces an approach of visualizing the concept of smart manufacturing in the context of Industry 4.0, as the term is not clearly specified, although has attracted attention both academicians and businesses. Concept mapping is a method of capturing and visualizing complex ideas. Concept maps are graphical tools for organizing, representing and communicating complex ideas by breaking them into more key concepts. As Industry 4.0 is a factor that can boost innovation and competitiveness of business, all parties involved in shaping the strategy of an organization, should perceive the issues to be covered. Furthermore, learners must be prepared to meet these challenges and knowledgebuilding activities may enhance their process of learning. The paper makes an interesting and valuable contribution, by identifying key concepts within the subject of smart manufacturing and Industry 4.0, using the method of concept mapping. Taking into consideration these concepts a conceptual framework will be introduced, by using the software tool CmapTools. The map can be used as a basis for future research in constructing a more comprehensive framework and identifying the concepts that describe smart manufacturing in the context of Industry 4.0, in a more thorough manner.

2021 ◽  
pp. 1-4
Author(s):  
Janet K. Allen ◽  
Sesh Commuri ◽  
Jianxin Jiao ◽  
Jelena Milisavljevic-Syed ◽  
Farrokh Mistree ◽  
...  

Abstract This special issue is motivated by the trend of smart factories of the future towards the fourth Industrial Revolution, which makes it possible to better leverage capabilities and resources in a human-cyber-physical production environment. This emerging paradigm of Industry 4.0 poses new systems design problems at the interface of smart manufacturing, robust and flexible automation, distributed and reconfigurable production systems industrial IoT, and supply chain integration. Recent advances of design engineering in the age of Industry 4.0 are presented in this special issue. More than forty (40) papers were received and peer-reviewed, out of which thirteen (13) papers were selected for publication. These are both theoretical and practical, as well as state-of-the-art reviews, new perspectives, and outlook for future research directions in the field. The papers span a range of design aspects and Industry 4.0 technologies. There are three intersecting clusters in this category: design principles and techniques for Industry 4.0, smart manufacturing technologies, and machine learning and data-driven techniques for Industry 4.0.


Author(s):  
Christian Brecher ◽  
Aleksandra Müller ◽  
Yannick Dassen ◽  
Simon Storms

AbstractSince 2011, the Industry 4.0 initiative is a key research and development direction towards flexible production systems in Germany. The objective of the initiative is to deal with the challenge of an increased production complexity caused by various factors such as increasing global competition between companies, product variety, and individualization to meet customer needs. For this, Industry 4.0 envisions an overarching connection of information technologies with the production process, enabling smart manufacturing. Bringing current production systems to this objective will be a long transformation process, which requires a coherent migration path. The aim of this paper is to represent an exemplary production development way towards Industry 4.0 using eminent formalization approaches and standardized automation technologies.


2021 ◽  
pp. 096739112110598
Author(s):  
Gorka Díez-Barcenilla ◽  
José L Gómez-Alonso ◽  
Koldo Gondra ◽  
Ester Zuza

The technology of epoxy tooling, at present under continuous development, is used for the rapid manufacture of cost-effective tools for small batch production. It is a valid alternative with no need for expensive investment in metallic moulds for the development of new products. Current investigations are focused on improvements to the production system, improved tool performance, the cost reduction of moulds and tool manufacturing sustainability. In this paper, both the advantages and the disadvantages of epoxy tooling in injection moulding, wax injection, metal stamping and hot embossing are compared with conventional techniques. Following a brief introduction of rapid tooling technologies, the latest advances of epoxy tooling and their implementation in different manufacturing processes are all analysed. These developments refer to the production of new ad-hoc epoxy composites, increased productivity using conformal cooling channels, the reduction of the tooling manufacturing costs through waste reuse and the emerging industry 4.0 technologies for smart manufacturing and tooling. The main objective is to identify both the challenges facing epoxy tooling techniques and future research directions.


Author(s):  
Robert Z. Zheng ◽  
Laura B. Dahl

As an instructional tool, concept map has been widely used to teach complex subjects in schools. Research suggests that concept mapping can help bridge learners’ prior knowledge with new learning, reduce the cognitive load involved in learning and improve comprehension, content retention, and knowledge transfer. Existing literature focuses on cognitive features, cognitive styles and differences between instructor provided and student generated concepts. However, little is known about the effects of concept maps as a cognitive tool to influence learners’ learning, specifically before and after the learning takes place. This chapter offers a discussion of general research in concept mapping and theories that support such instruction. Finally, an empirical study is presented with suggestions for future research in concept mapping.


Author(s):  
Luis Alberto Estrada-Jimenez ◽  
Terrin Pulikottil ◽  
Nguyen Ngoc Hien ◽  
Agajan Torayev ◽  
Hamood Ur Rehman ◽  
...  

Interoperability in smart manufacturing refers to how interconnected cyber-physical components exchange information and interact. This is still an exploratory topic, and despite the increasing number of applications, many challenges remain open. This chapter presents an integrative framework to understand common practices, concepts, and technologies used in trending research to achieve interoperability in production systems. The chapter starts with the question of what interoperability is and provides an alternative answer based on influential works in the field, followed by the presentation of important reference models and their relation to smart manufacturing. It continues by discussing different types of interoperability, data formats, and common ontologies necessary for the integration of heterogeneous systems and the contribution of emerging technologies in achieving interoperability. This chapter ends with a discussion of a recent use case and final remarks.


2020 ◽  
Vol 10 (15) ◽  
pp. 5027 ◽  
Author(s):  
Erik Kučera ◽  
Oto Haffner ◽  
Peter Drahoš ◽  
Ján Cigánek ◽  
Roman Leskovský  ◽  
...  

For the development of modern complex production processes in Industry 4.0, it is appropriate to effectively use advanced mathematical models based on Petri nets. Due to their versatility in modeling discrete-event systems, Petri nets are an important support in creating new platforms for digitized production systems. The main aim of the proposed article is to design a new software tool for modeling and control of discrete-event and hybrid systems using Arduino and similar microcontrollers. To accomplish these tasks, a new tool called PN2ARDUINO based on Petri nets is proposed able to communicate with the microcontroller. Communication with the microcontroller is based on the modified Firmata protocol hence, the control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified in control of laboratory systems. In addition, it can be used for education and research purposes as it offers a graphical environment for designing control algorithms for hybrid and mainly discrete-event systems. The proposed software tool can improve education and practice in cyber-physical systems (Industry 4.0).


Author(s):  
Caroline Ennis ◽  
Nicholas Barnett ◽  
Sergio De Cesare ◽  
Rachel Lander ◽  
Alan Pilkington

2020 ◽  
Vol 10 (21) ◽  
pp. 7662
Author(s):  
Erik Kučera ◽  
Oto Haffner ◽  
Peter Drahoš ◽  
Roman Leskovský ◽  
Ján Cigánek

Petri nets are an important tool for creation of new platforms for digitised production systems due to their versatility in modelling discrete event systems. For the development of modern complex production processes for Industry 4.0, using advanced mathematical models based on Petri nets is an appropriate and effective option. The main aim of the proposed article is to design a new software tool for modelling and control of discrete event systems using Arduino-type microcontrollers and code generation techniques. To accomplish this task, a new tool called “PetriNet editor + PetriNet engine” based on Petri nets is proposed able to generate the code for the microcontroller according to the modelled Petri net. The developed software tool was successfully verified in control of a laboratory plant. Offering a graphical environment for the design of discrete event system control algorithms, it can be used for education, research and practice in cyber-physical systems (Industry 4.0).


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