2,730 research outputs found

    What IS can do for Environmental Sustainability: A Report from the CAiSE´11 Panel on Green and Sustainable IS

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    The panel on Green and Sustainable Information Systems at the 21st International Conference on Information Systems Engineering (CAiSE’11), held in London in June 2011, was intended to discuss issues in Environmental Sustainability and Information Systems within the Information Systems Engineering research community. Information systems, which have become pervasive and hence impact on most aspects of human activity, can help to reduce the negative impact of human activities on the environment in two main areas

    What IS Can Do for Environmental Sustainability: A Report from CAiSE’11 Panel on Green and Sustainable IS

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    The panel on Green and Sustainable Information Systems at the 21st International Conference on Information Systems Engineering (CAiSE’11), held in London in June 2011, was held to discuss issues in Environmental Sustainability and Information Systems within the Information Systems Engineering research community. This panel report describes the panelists’ views on using information systems for improving sustainability and on improving the energy efficiency of the data centres on which information systems are based. The current topics of research, possible contributions of the IS community, and future directions are discussed

    Sustainable logistics and competitive positioning

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    The book chapter explores the integration of sustainable logistics and competitive positioning in today's business environment. It discusses the importance of incorporating sustainable practices into logistics operations, including reducing carbon emissions, optimizing resource utilization, and embracing social responsibility. The chapter emphasizes the relationship between sustainable logistics and gaining a competitive edge, highlighting strategies and best practices in areas such as transportation, warehousing, packaging, and reverse logistics. It also explores the role of technology and innovation in facilitating sustainable logistics and enhancing competitiveness. The chapter provides real-world examples and case studies to showcase successful implementations of sustainable logistics across industries, showcasing the benefits in terms of cost savings, customer satisfaction, brand reputation, and market positioning.</p

    Synergies and misalignments in lean and green practices: a logistics industry perspective

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    This paper conducts an exploratory case study-based research in three companies to identify the main synergies and misalignments between Lean and Green in the context of a range of distribution networks operating globally, regionally and domestically. The research strategy applied by this study is exploratory multiple case studies in three companies, particularly in the road transport and logistics sector. Semi-structured interviews with fifteen executives from three companies were conducted to identify activities within logistics operations leading to synergies and misalignment between Lean and Green practices. The outcome of the three cases shows that several improvements can be achieved by the simultaneous adoption of Lean and Green. The study contributes to the literature by extending the research in the logistics sector and providing examples from a wide variety of logistics operations on synergies and misalignments between Lean and Green practices. The findings and outcome of this study are a starting point for further research in the logistics sector

    2018 Best Practice Guidelines for the EU Code of Conduct on Data Centre Energy Efficiency: Version 9.1.0

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    The Information and Communication Technology (ICT) sector including data centres generates up to 2% of the global CO2 emissions and data centres are estimated to have the fastest growing carbon footprint from across the whole ICT sector, mainly due to new business such as the cloud computing and the rapid growth of the use of Internet services. The European Code of Conduct for Data Centre Energy Efficiency programme is a voluntary initiative created in 2008 in response to the increasing energy consumption in data centres and the need to reduce the related environmental, economic and energy supply security impacts. Companies participating on the Code of Conduct have to adopt best practices for energy management in data centres. The present report supplements to the Code of Conduct and present the updated (year 2018) version of the Best Practices. This report is provided as an education and reference document as part of the Code of Conduct to assist data centre operators in identifying and implementing measures to improve the energy efficiency of their data centres. A broad group of expert reviewers from operators, vendors, consultants, academics, professional and national bodies have contributed to and reviewed the Best Practices. This report provides a full list of the identified and recognised data centre energy efficiency best practices within the Code of Conduct. Customers or suppliers of IT services may also find it useful to request or provide a list of Code of Conduct Practices implemented in a data centre to assist in procurement of services that meet their environmental or sustainability standards.JRC.C.2-Energy Efficiency and Renewable

    A Decision-Making Model for Adopting Green ICT Strategies

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    2016 Best Practice Guidelines for the EU Code of Conduct on Data Centre Energy Efficiency

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    The Best Practices are the energy efficiency actions that data centre operators can implement in their data centres to make them more efficient. Due to the fats technology developments in the ICT field, the Best Practices are revised every year to keep them up-to-date.These Best Practices shall be implemented by the Participants in the Code of Conduct, but are a very useful guide for all the other data centres operators.JRC.C.2-Energy Efficiency and Renewable

    Transitioning to regenerative urbanism

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    This thesis describes a framework for transitioning to regenerative urbanism. Regenerative urbanism represents a new planning paradigm that optimises urban fabric and applies a regenerative design overlay to deliver highly liveable and sustainable urban development. This approach integrates across systems (energy, transport, water, waste, food, biodiversity), and scales (plot, precinct, city). Mainstreaming regenerative urbanism could usher in a period of planetary biosphere regeneration by facilitating a global network of net positive impact regenerative cities

    Energy-aware Software

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    Luca Ardito has focused his PhD on studying how to identify and to reduce the energy consumption caused by software. The project concentrates on the application level, with an experimental approach to discover and modify characteristics that waste energy. We can define five research goals: RG1. Is it possible to measure the energy consumption of an application? Measuring the energy consumption of an electronic device (PC, mobile phone, etc.) is straightforward, but several applications coexist on it, possibly with very different energy needs. Usage profiles for applications are certainly important too. We will consider the most common platforms (Windows, Linux, Mac Osx). RG2. Could Energy Efficiency be considered as a software non- functional requirement? Research has increasingly focused on improving the Energy Efficiency of hardware, but the literature still lacks in quantifying accurately the energy impact of software. This research goal is strictly related to the following one. RG3. Is it possible to profile the energy consumption of a software application? An empirical experiment could assess quantitatively the energetic impact of software usage by building up common application usage scenarios and executing them independently to collect power consumption data. RG4. Is there a relationship between the way a program is written and its energy consumption? The same application, at the code level, can be written in different ways. Here the question is if the different ways have impact on energy consumption. The code should be considered at two levels: source code (programmer) and object code/byte code (compiler). RG5. Is it possible to use the energy consumption information to trigger self-adaptation? A software application could automatically modify its behaviour in order to reduce its energy consumption
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