Evaluation of Cognitive Architectures for Cyber-Physical Production Systems

Cyber-physical production systems (CPPS) integrate physical and computational resources due to increasingly available sensors and processing power. This enables the usage of data, to create additional benefit, such as condition monitoring or optimization. These capabilities can lead to cognition, such that the system is able to adapt independently to changing circumstances by learning from additional sensors information. Developing a reference architecture for the design of CPPS and standardization of machines and software interfaces is crucial to enable compatibility of data usage between different machine models and vendors. This paper analysis existing reference architecture regarding their cognitive abilities, based on requirements that are derived from three different use cases. The results from the evaluation of the reference architectures, which include two instances that stem from the field of cognitive science, reveal a gap in the applicability of the architectures regarding the generalizability and the level of abstraction. While reference architectures from the field of automation are suitable to address use case specific requirements, and do not address the general requirements, especially w.r.t. adaptability, the examples from the field of cognitive science are well usable to reach a high level of adaption and cognition. It is desirable to merge advantages of both classes of architectures to address challenges in the field of CPPS in Industrie 4.0

R&D in China and the implications for industrial restructuring

The nation-wide introduction of foreign technology in China has been going on for over 20 years. This paper examines the R&D incentive of the Chinese innovators by analyzing the patent data for the period from 1985 to 1999. The following findings were obtained. First, individual innovators, as opposed to industrial enterprises and research institutes, have been supplying over 70% of all patent applications filed domestically. Second, innovators in China, including the industrial enterprises, have been devoting their R&D resources disproportionately to small innovations, rather than major ones. Third, the large and medium-sized enterprises are not yet the main force for innovation in China. The impacts of industrial structure on R&D incentive are emphasized. Regression analysis for 37 manufacturing industries in China shows that R&D output, measured by the number of patents per firm, is positively related to the eight-firm concentration ratio. I also analyze the microeconomic channels through which the vertical structure of an industry affects firm incentive to absorb imported technologies. “Excessive competition” and a low degree of vertical integration in Chinese industries are major factors leading to small-scale innovation, high propensity to purchase foreign technologies, and low propensity to absorb them. Establishing enterprise groups that are truly subject to market discipline can speed up the “imitation-first-and-then-innovate” process

Energy-efficient through-life smart design, manufacturing and operation of ships in an industry 4.0 environment

Energy efficiency is an important factor in the marine industry to help reduce manufacturing and operational costs as well as the impact on the environment. In the face of global competition and cost-effectiveness, ship builders and operators today require a major overhaul in the entire ship design, manufacturing and operation process to achieve these goals. This paper highlights smart design, manufacturing and operation as the way forward in an industry 4.0 (i4) era from designing for better energy efficiency to more intelligent ships and smart operation through-life. The paper (i) draws parallels between ship design, manufacturing and operation processes, (ii) identifies key challenges facing such a temporal (lifecycle) as opposed to spatial (mass) products, (iii) proposes a closed-loop ship lifecycle framework and (iv) outlines potential future directions in smart design, manufacturing and operation of ships in an industry 4.0 value chain so as to achieve more energy-efficient vessels. Through computational intelligence and cyber-physical integration, we envision that industry 4.0 can revolutionise ship design, manufacturing and operations in a smart product through-life process in the near future

Software Systems Engineering for Cyber Physical Production Systems

This project solves the problem of easy adaption and usage of CPPS by small scale industries, With this project it has been tried to develop a methodology of requirement engineering for CPPS system and finally the whole system. We have developed the approach right from requirement engineering to mapping into IEC61499 function blocks and then to deployment to a physical devices. This work can be a good foundation and support for scientific communities or industialist to easily implement requirement engineering of a small scale systems for CPPS and thus build a 21st century production system with this and reap its enormous benefits.Cyber physical production systems are the future of production systems not only in europe but in the entire world. It brings with itself huge benefits and popularly attributes to Industry 4.0 also. These are automated systems where physical systems are monitored and controlled by computer based algorithms in real time. Traditional systems have certain disadvantages and are limited in terms of hours of operation as it is governed by manpowers and the type of products that can be produced without making much changes in the production configuration and the speed of production of products. In europe, a lot of research is going on, particularly in germany and in the United states too for upgrading major physical systems and manufacturing systems. Some examples of such systems are smart factory, smart grid, autonomous automobile systems, automatic pilot avionics, robotics systems etc. The main goal of this thesis is to define a set of methodologies for easing the process of implementation of the CPPS(cyber physical production systems) system on small and medium industries so that the adoption rate for such industries can be high. There is no methodology yet particularly for CPPS systems for small and medium industries, although we have methodologies in place for large industries. In order to do so, first study was done for challenges in developing a requirement engineering process in section 3 and how it is different from a typical software system. An approach has been developed based on existing information available on large systems and CPPS and some software engineering frameworks like MODAF and TOGAF. A proposal for the process and some diagrams and tools has been made in section 4. To validate the proposed approach we have taken a synthetic test case of a pizza production system and implemented all the approaches to transform it into a cyber physical production system right from requirement and UML diagrams to the final function block approach. With this set of approaches,there is now a basis for software development methodology for small and medium industries particularly. With these approaches the adoption rate can be really high for such industries bringing out traditional industries more to the 21st century forefront

The role of high-performance people management practices in Industry 4.0: The case of medium-sized Spanish firms

Purpose: This paper wants to build the case for the key role of high-performance people management practices in the development of I4.0 in SMEs. The research upon which this paper is based wants to prove that the consolidation of those practices should be a priority for any company willing to embark in this journey. The paper deals specifically with medium-sized Spanish firms which, on top, are already having significant issues with digitization. Design/methodology: The paper starts by digging into the literature to see how past technologies have impacted productivity, followed by a review of the material available on digitization and Industry 4.0. It moves on to explore the relationship between people management practices, productivity and innovation. Finally, the focus is placed on Spanish medium-sized companies, understanding their current levels of consolidation of high-performance people management practices as well as digitization. With all this information, several propositions are posited for validation using the Delphi methodology. Findings: I4.0 is, at its core, about productivity improvements through business process and business model innovation. People management practices are found to be strongly correlated with both productivity and innovation. It has also been found that Spanish medium-sized firms already have a significant initial gap compared to those of other OECD countries not only in productivity, but also people management practices and digitization. The experts seem to agree on the key role of people management practices and that they should be a high priority for any firm seriously thinking about industry 4.0. This is not to say that strategy or leadership will not play a paramount role in any digital transformation, but to emphasize the fact that the normally-forgotten people management practices will be important enablers in this process. Originality/value: It is believed that this is a topic that has been mostly neglected in the I4.0 literature. In that sense, the findings of this paper could be relevant for small and medium-sized businesses embarking on the industry 4.0 journey. This will entail a significant investment of time and money and, if the key role of people management practices is not on the radar screen, it may have significant implications for the success of those ventures.Peer ReviewedPostprint (published version

Quality by Design Procedure for Continuous Pharmaceutical Manufacturing: An Integrated Flowsheet Model Approach

Pharmaceutical manufacturing is crucial to global healthcare and requires a higher, more consistent level of quality than any other industry. Yet, the traditional pharmaceutical batch manufacturing has remained largely unchanged in the last fifty years due to high R&D costs, shorter patent durations, and regulatory uncertainty. This has led regulatory bodies to promote modernization of manufacturing process to continuous pharmaceutical manufacturing (CPM) by introducing new methodologies including quality by design, design space, and process analytical technology (PAT). This represents a shift away from the traditional pharmaceutical manufacturing way of thinking towards a risk based approach that promotes increased product and process knowledge through a data-rich environment. While both literature and regulatory bodies acknowledge the need for modernization, manufacturers have been slow to modernize due to uncertainty and lack of confidence in the applications of these methodologies. This paper aims to describe the current applications of QbD principles in literature and the current regulatory environment to identify gaps in literature through leveraging regulatory guidelines and CPM literature. To aid in closing the gap between QbD theory and QbD application, a QbD algorithm for CPM using an integrated flowsheet models is also developed and analyzed. This will help to increase manufacturing confidence in CPM by providing answers to questions about the CPM business case, applications of QbD tools, process validation and sensitivity, and process and equipment characteristics. An integrated flowsheet model will aid in the decision-making process and process optimization, breaking away from ex silico methods extensively covered in literature

Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor

The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities

Manufacturing Value Modelling, Flexibility, and Sustainability: from theoretical definition to empirical validation

The aim of this PhD thesis is to investigate the relevance of flexibility and sustainability within the smart manufacturing environment and understand if they could be adopted as emerging competitive dimensions and help firms to take decisions and delivering value

WP3 Policy Mapping, Review and Analysis

This report presents the mapping, review and analysis of the most relevant LLL policies for young adults in Glasgow City Region and Aberdeen/ Aberdeenshire. The report first reviews the national Scottish LLL policies which influence the implementation of LLL for young adults in the two regions under study. This report provides findings and analysis to comply with the H2020 YOUNG_ADULLLT Research Project, Work Package 3 (WP3). We have used the requirements and guidance in the WP3 proposal to select two appropriate Functional Regions (FRs): The Glasgow City Region and Aberdeen/Aberdeenshire. These FRs provide a focus for the WP3 mapping but also frame the other data gathering for the YOUNG_ADULLLT project. The mapping has provided material to facilitate an understanding of the policy landscape, including the different policy sectors of the two FRs set in the national context. The mapping required the selection of three detailed examples of LLL/Skills policies with their associated material actions in each of the two FRs. Currently, we have mapped four in each FR. Our mapping reflects the distinctiveness of Scottish public policy in that national policies provide the main framework for regional and locally devolved enactment and associated actions