17,834 research outputs found

    Collaborative improvement as an inspiration for supply chain collaboration

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    The battlefield of competition is today moving from the level of\ud individual firms to the one of the extended enterprises, that is, networks of customers and their suppliers. This paper discusses how learning and continuous improvement today take place in processes based on daily collaboration at intercompany level, i.e. Extended Manufacturing Enterprises (EMEs). The purpose of the paper is to present a preliminary theory on Collaborative Improvement (CoI), i.e. continuous improvement at the EME level. Based on a literature review on Supply Networks, and Continuous Improvement and on evidence from two explorative case studies, the paper proposes a model for Collaborative Improvement in EMEs and discusses a research approach based on Action Research and Action Learning to further develop preliminary theory and actionable knowledge on how to foster and sustain CoI in EMEs

    EVERYTHING COUNTS: Building a Control Regime for Nonstrategic Nuclear Warheads in Europe

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    Before the Russian invasion of Ukraine, the Biden administration insisted in arms control talks with Russia that a follow-on agreement to the New Strategic Arms Reduction Treaty (New START) should cover all nuclear weapons and that such an agreement should focus on the nuclear warheads themselves. This would represent a significant change from previous agreements, which focused on delivery vehicles, such as missiles. The United States has been particularly interested in potential limits on nonstrategic nuclear warheads (NSNW). Such weapons have never been subject to an arms control agreement. Because Russia possesses an advantage in the number of such weapons, the US Senate has insisted that negotiators include them in a future agreement, making their inclusion necessary if such an accord is to win Senate approval and ultimately be ratified by Washington. In the wake of Russian nuclear threats in the Ukraine conflict, such demands can only be expected to grow if and when US and Russian negotiators return to the negotiating table

    Cyber-Physical Systems Improving Building Energy Management: Digital Twin and Artificial Intelligence

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    The research explores the potential of digital-twin-based methods and approaches aimed at achieving an intelligent optimization and automation system for energy management of a residential district through the use of three-dimensional data model integrated with Internet of Things, artificial intelligence and machine learning. The case study is focused on Rinascimento III in Rome, an area consisting of 16 eight-floor buildings with 216 apartment units powered by 70% of self-renewable energy. The combined use of integrated dynamic analysis algorithms has allowed the evaluation of different scenarios of energy efficiency intervention aimed at achieving a virtuous energy management of the complex, keeping the actual internal comfort and climate conditions. Meanwhile, the objective is also to plan and deploy a cost-effective IT (information technology) infrastructure able to provide reliable data using edge-computing paradigm. Therefore, the developed methodology led to the evaluation of the effectiveness and efficiency of integrative systems for renewable energy production from solar energy necessary to raise the threshold of self-produced energy, meeting the nZEB (near zero energy buildings) requirements
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