Case study of ILVA, Italy : The impact of failing to consider sustainability as a driver of business model evolution

Part of: Seliger, Günther (Ed.): Innovative solutions : proceedings / 11th Global Conference on Sustainable Manufacturing, Berlin, Germany, 23rd - 25th September, 2013. - Berlin: Universitätsverlag der TU Berlin, 2013. - ISBN 978-3-7983-2609-5 (online). - http://nbn-resolving.de/urn:nbn:de:kobv:83-opus4-40276. - pp. 25–30.The case of ILVA steel works in Taranto, Italy demonstrates the potential impacts associated with failing toadequately consider environmental and social sustainability issues within the business model of the firm. This paper provides a review of the situation at ILVA today; the decisions and actions that contributed to the current situation since privatisation of the firm in 1995; and the choices now facing government, the local community, and the firm’s owners going forward including a review of Best Available Techniques (BATs). The review is supported with relevant sustainability literature and explores how a more comprehensive assessment of sustainability considerations might be better integrated into business model evolution. The paper demonstrates that an inappropriate technology investment strategy that fails to consider broader concepts of value for the society and environment does not pay in the long-term, and that expectations of government support to mitigate negative impacts of business are becoming increasingly untenable

digitalization technologies for industrial sustainability

Abstract Digital technologies are shown to perform a potential role in developing a resource efficient industrial base. The effective adoption of them can help to deliver reduced costs and improve the flexibility and sustainability of manufacturing systems. However, these positive benefits are far from guaranteed and the way in which digital technologies favor the transition towards sustainable manufacturing systems has not been analyzed in detail yet, so more conceptual and empirical investigations are required in this field. This paper develops a conceptual framework, which explains the potential significance of using digital technologies toward efficiency, resilience and sustainability. It also includes evidence from various case studies, which illustrate the core technologies which can potentiality contribute to a sustainable industrial future. The findings show some impressive results concerning the sustainable implications of the digitalization of manufacturing processes. If the predicted benefits can be achieved through digital technologies, they could massively impact on sustainability

Cyber-physical systems (CPS) in supply chain management: from foundations to practical implementation

Abstract Since 2015 developments such as Industry 4.0 and cyber-physical production systems on the technology side, and approaches such as flexible and smart manufacturing systems hold great potential. These in turn give rise to special requirements that the production planning, control and monitoring, among others, needing a paradigm shift to exploit the full potential of these methods and techniques. Starting from foundations in Cyber Physical Systems (CPS), building upon definitions and findings reported by literature, a practical example of innovative Cyber Physical Supply Chain Planning System (CPS2) is provided. The paper clarifies the advantages of cyber-physical systems in the production planning, controlling and monitoring perspective with respect to manufacturing, logistics and related planning practices. A set of basic features of CPS2 systems are discussed and addressed by contextualizing service orientation architecture and microservices components with respect to supply chain management collaboration and cooperation practices. The identification of specific technologies behind those functions, within the developed research, provides some practical insight if the interesting CPS2 potential

Investigating Flexibility as a Performance Dimension of a Manufacturing Value Modeling Methodology (MVMM): A Framework for Identifying Flexibility Types in Manufacturing Systems☆

Abstract In recent years manufacturing companies have been faced with various challenges related to volatile demand and changing requirements from customer as well as suppliers. This trend is now even accelerating with a direct impact on the value chain. New technological roadmaps and suggested interventions in manufacturing systems try to solve these challenges and solutions such as the German high tech strategy "Industrie 4.0" or the Italian cluster "Fabbrica Intelligente" which often aimed at enhancing the flexibility of manufacturing systems among many other competitive dimensions. However, these approaches often do not provide a detailed definition of flexibility and its different manifestations. Therefore, the question rises if different types of flexibility, that have an impact on the complete manufacturing system, can be better identified with the existing Manufacturing Value Modeling Methodology (MVMM). This question becomes even more important when considering the potential that smart machines interacting with humans, such as cyber-physical systems (CPS), and the possibility to increase connectivity and data access through technologies, such as the internet of things (IoT), offer for increasing flexibility. Especially due to the various possibilities it becomes even more important to understand, which kind of flexibility is needed for a given problem. Implementing flexibility into the MVMM requires a 'catalog' that makes use of the MVMM framework presenting an overview of internal and external influence factors in order to support the identification of correct solutions and improvements related to functional areas in the manufacturing environment. Starting from a qualitative literature review on manufacturing flexibility, a 'flexibility catalog' is designed, which provides a structural definition of existing flexibility types and their composition as well as providing decision support. In conclusion, the scope of the 'flexibility catalog' is to verify that the flexibility demand fits into the market trends and is aligned to the manufacturing and company strategy, in order to help firms to take decisions and delivering value

Trajetória e especificidades de processos de inovação em agrotecnologias: estudo de casos.

The debate surrounding the need to bring together research and society, through a greater application of scientific knowledge, is increasing. This article addresses the issue, connecting the macro and micro scopes of analysis around the concepts of institutional and immediate specificities of innovation processes. The path followed by scientific information until its application as technological innovation was analyzed. Two cases of agrotechnological innovations developed in the university were evaluated. The objective was to understand how these processes occurred, emphasizing specific and immediate institutional issues related to their trajectories. The work used the case study method based on a theoretical foundation that incorporates the socio-economic context and the innovation processes themselves. The results instigate deep political and pragmatic reflections on the importance of several features of the immediate and specific institutional requirements mentioned, such as technical and economic feasibility, cultural legitimization of the innovation by the market, and the researchers’ contribution in solving problems in the institutional environment.technology innovation, agrotechnology, technology transfer, academic entrepreneurship., Agribusiness, Agricultural Finance, Industrial Organization,

AFM phase imaging of soft-hydrated samples: A versatile tool to complete the chemical-physical study of liposomes

Despite of the several approaches applied to the physicochemical characterization of liposomes, few techniques are really useful to obtain information about the surface properties of these colloidal drug-delivery systems. In this paper, we demonstrate a possible new application of tapping mode atomic force microscopy (AFM) to discriminate between conventional and pegylated liposomes. We showed that the differences on liposomal surface properties revealed by the phase images AFM approach well correlate with the data obtained using classical methods, such as light scattering, hydrodynamic, and nuclear magnetic resonance analysis

How Soft Drink Supply Chains drive sustainability: Key Performance Indicators (KPIs) identification

Even if sustainability is a relatively new research area, it has already shown an interesting number of measures and metrics mainly de-structured and at very different levels. Furthermore, a specific framework of Key Performance Indicators (KPIs) has not yet been developed for soft drink supply chains (SDSC). This variety is creating confusion among industries when they attempt to select a set of indicators for assessing sustainability in manufacturing in practical terms. A company should be able to analyze each element of its strategy and business model in order to understand which factors influence sustainability. Therefore, to address this challenge, Authors have collected sustainability KPIs SDSCs. KPIs helps soft drinks companies to have a more complete vision concerning their sustainability impact and to point out potential best practices. Finally, in order to provide a practical view of the methodology, a sample is presented and discussed

An investigation into modelling approaches for industrial symbiosis: a literature review

The aim of this paper is to understand how to model industrial symbiosis networks in order to favour its implementation and provide a framework to guide companies and policy makers towards it. Industrial symbiosis is a clear example of complex adaptive systems and traditional approaches (i.e., Input/Output analysis, Material flow analysis) are not capable to capture these dynamics behaviours. Therefore, the aim of this literature review is to investigate: i) the most used modelling and simulation approaches to analyse industrial symbiosis and ii) their characteristics in terms of simulation methods, interaction mechanisms and simulations software. Findings from our research suggest that a hybrid modelling and simulation approach, based on agent-based and system dynamics, could be an appropriate method for industrial symbiosis analysis and design