The challenges for sustainable skills development in the UK automotive supply sector: policy and implementation

Original paper can be found at: http://www.gerpisa.univ-evry.fr/rencontre/16.rencontre/GERPISAJune2008/home.htmlThe European Automotive industry is a key strategic player in the European Union with an estimated 10 million workers. The majority of these work in the supply chain (CLEPA 2005). As a major employer, the sector must work to maintain its competitive edge if it is to keep that workforce engaged.Final Accepted Versio

Innovation in manufacturing through digital technologies and applications: Thoughts and Reflections on Industry 4.0

The rapid pace of developments in digital technologies offers many opportunities to increase the efficiency, flexibility and sophistication of manufacturing processes; including the potential for easier customisation, lower volumes and rapid changeover of products within the same manufacturing cell or line. A number of initiatives on this theme have been proposed around the world to support national industries under names such as Industry 4.0 (Industrie 4.0 in Germany, Made-in-China in China and Made Smarter in the UK). This book presents an overview of the state of art and upcoming developments in digital technologies pertaining to manufacturing. The starting point is an introduction on Industry 4.0 and its potential for enhancing the manufacturing process. Later on moving to the design of smart (that is digitally driven) business processes which are going to rely on sensing of all relevant parameters, gathering, storing and processing the data from these sensors, using computing power and intelligence at the most appropriate points in the digital workflow including application of edge computing and parallel processing. A key component of this workflow is the application of Artificial Intelligence and particularly techniques in Machine Learning to derive actionable information from this data; be it real-time automated responses such as actuating transducers or informing human operators to follow specified standard operating procedures or providing management data for operational and strategic planning. Further consideration also needs to be given to the properties and behaviours of particular machines that are controlled and materials that are transformed during the manufacturing process and this is sometimes referred to as Operational Technology (OT) as opposed to IT. The digital capture of these properties and behaviours can then be used to define so-called Cyber Physical Systems. Given the power of these digital technologies it is of paramount importance that they operate safely and are not vulnerable to malicious interference. Industry 4.0 brings unprecedented cybersecurity challenges to manufacturing and the overall industrial sector and the case is made here that new codes of practice are needed for the combined Information Technology and Operational Technology worlds, but with a framework that should be native to Industry 4.0. Current computing technologies are also able to go in other directions than supporting the digital ‘sense to action’ process described above. One of these is to use digital technologies to enhance the ability of the human operators who are still essential within the manufacturing process. One such technology, that has recently become accessible for widespread adoption, is Augmented Reality, providing operators with real-time additional information in situ with the machines that they interact with in their workspace in a hands-free mode. Finally, two linked chapters discuss the specific application of digital technologies to High Pressure Die Casting (HDPC) of Magnesium components. Optimizing the HPDC process is a key task for increasing productivity and reducing defective parts and the first chapter provides an overview of the HPDC process with attention to the most common defects and their sources. It does this by first looking at real-time process control mechanisms, understanding the various process variables and assessing their impact on the end product quality. This understanding drives the choice of sensing methods and the associated smart digital workflow to allow real-time control and mitigation of variation in the identified variables. Also, data from this workflow can be captured and used for the design of optimised dies and associated processes

Improving decision making in product modularization by game-based management training

To deal with the complexity caused by a constantly increasing need for product customization many companies have adopted a product modularization strategy. Product modularization has the potential to give benefits both in the design of products, in manufacturing as well as in the supply chain. But, it poses great challenges in its implementation, which includes complex decision-making that will affect the whole value-chain. The purpose of this paper is to describe how a game-based approach can be used for academic education, and management training, with the aim of improving decision-making in product modularization. This by visualizing, and practice, the complex interplay between product, manufacturing and supply chain architecture. The paper describes the development of the LEGO Exploratorium game set up, based on the LEGO minifigures, and how it has been used for both teaching engineering students and in company workshop. Using this game set up will increase companies’ possibilities to develop modularized products that are designed for both efficient manufacturing and supply chain management

Human in the Data-Driven Zero Defect Manufacturing Loop: Case Examples from Manufacturing Companies

Data-driven Zero Defect Manufacturing (ZDM) system gathers and organizes data from different sources, integrating and analyzing the data using different tools, with the purpose to react on potential quality issues before they happen with adequate levels of data accuracy and precision. This paper discusses the role of humans in the data driven ZDM loop, considering the context of four manufacturing companies, from the EU H2020 project DAT4Zero which has also funded this study. These companies represent distinct manufacturing environments, each with specific industrial challenges and requirements, which were studied to map, analyze, and exemplify the potential role of humans in the data driven ZDM framework in real manufacturing environments.acceptedVersio

Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India

An Environmental-Based Perspective Framework: Integrating IoT Technology into a Sustainable Automotive Supply Chain

Purpose - Over the next decade, humanity is going to face big environmental problems, and considering these serious issues, businesses are adopting environmentally responsible practices. To put forward specific measures to achieve a more prosperous environmental future, this study aims to develop an environment-based perspective framework by integrating the Internet of Things (IoT) technology into a sustainable automotive supply chain (SASC). Design/methodology/approach - The study presents a conceptual environmental framework - based on 29 factors constituting four stakeholders’ rectifications - that holistically assess the SASC operations as part of the ReSOLVE model utilizing IoT. Then, experts from the SASC, IoT, and sustainability areas participated in two rigorous rounds of a Delphi study to validate the framework. Findings – The results indicate that the conceptual environmental framework proposed would help companies enhance the connectivity between major IoT tools in SASC, which would help develop congruent strategies for inducing sustainable growth. Originality/value - This study adds value to existing knowledge on SASC sustainability and digitalization in the context where the SASC is under enormous pressure, competitiveness, and increased variability

India: A New Player in Asian Production Networks?, Studies in Trade and Investment 75

While the IPN phenomenon has accelerated trade and investment linkages between countries in East and South-East Asia, the remainder of the region has not matched those countries in this process. The objective of this study is to explore the reasons for this by using India’s performance in the Asian IPNs as a case study for other countries that are trailing behind in this area. The study seeks to identify the reasons why India has performed below its potential in this new form of international division of labour, even though that country possess several supportive factors including: (a) the sheer size of the economy and population; (b) a large pool of engineers; (c) relatively sound intellectual property protection; and (d) an increasingly open trade and investment climate resulting from progressive economic reforms.production network, fragmentation of production, Asia, value chain, India manufacturing sector, China, India, Offshoring, MNCs, FDI

Industrial Realities in Nigeria: From Bad to Worse

This paper assesses the industrial performance and capabilities of Nigeria over the last decade. It explores Nigeria's export and production capacity, growth, structure and technological upgrading and compares it to other Sub-Saharan countries. Evidence shows that Nigerian industry is inexorably falling behind and becoming increasingly marginalized in the international and regional industrial scene. Total manufacturing value added and manufactured exports have significantly declined and there has been a technological downgrading of Nigeria's traditional manufacturing sectors. Moreover, increased dependency on oil extraction puts a serious threat to Nigeria's industrial competitive future. Severe flaws in the education system, technological stagnation of domestic companies, lack of foreign investment in manufacturing, negligible technology transfer and weak ICT infrastructure constitute significant factors for failure. Further analysis should however include other factors not explored in this exercise, including macro-economic and fiscal policies, governance and the regulatory and business environment.

From Sensor to Observation Web with Environmental Enablers in the Future Internet

This paper outlines the grand challenges in global sustainability research and the objectives of the FP7 Future Internet PPP program within the Digital Agenda for Europe. Large user communities are generating significant amounts of valuable environmental observations at local and regional scales using the devices and services of the Future Internet. These communities’ environmental observations represent a wealth of information which is currently hardly used or used only in isolation and therefore in need of integration with other information sources. Indeed, this very integration will lead to a paradigm shift from a mere Sensor Web to an Observation Web with semantically enriched content emanating from sensors, environmental simulations and citizens. The paper also describes the research challenges to realize the Observation Web and the associated environmental enablers for the Future Internet. Such an environmental enabler could for instance be an electronic sensing device, a web-service application, or even a social networking group affording or facilitating the capability of the Future Internet applications to consume, produce, and use environmental observations in cross-domain applications. The term ?envirofied? Future Internet is coined to describe this overall target that forms a cornerstone of work in the Environmental Usage Area within the Future Internet PPP program. Relevant trends described in the paper are the usage of ubiquitous sensors (anywhere), the provision and generation of information by citizens, and the convergence of real and virtual realities to convey understanding of environmental observations. The paper addresses the technical challenges in the Environmental Usage Area and the need for designing multi-style service oriented architecture. Key topics are the mapping of requirements to capabilities, providing scalability and robustness with implementing context aware information retrieval. Another essential research topic is handling data fusion and model based computation, and the related propagation of information uncertainty. Approaches to security, standardization and harmonization, all essential for sustainable solutions, are summarized from the perspective of the Environmental Usage Area. The paper concludes with an overview of emerging, high impact applications in the environmental areas concerning land ecosystems (biodiversity), air quality (atmospheric conditions) and water ecosystems (marine asset management)