Relevant bibliographies by topics / Optimisation des KPIs

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Optimisation des KPIs'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Optimisation des KPIs"

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Larsson, Daria, and R. M. Chandima Ratnayake. "Sustainable Transformation: A Case Study of an Engineering-to-Order Additive Manufacturing Firm." Applied Sciences 14, no. 20 (2024): 9417. http://dx.doi.org/10.3390/app14209417.

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Purpose: Addressing sustainability challenges in additive manufacturing (AM) is critical due to high energy consumption and waste. Optimising AM operations is vital for sustainability. However, the existing literature lacks practical examples for AM companies on how to enhance sustainability. To address this gap, a case study within an AM firm was conducted. Design approach: Using the analytical hierarchy process (AHP), sustainability key performance indicators (KPIs) were identified, aligned with the firm’s strategic objectives. Sustainable value stream mapping (Sus-VSM) analysed the producti
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Dalpadulo, Enrico, Francesco Gherardini, Fabio Pini, and Francesco Leali. "Integration of Topology Optimisation and Design Variants Selection for Additive Manufacturing-Based Systematic Product Redesign." Applied Sciences 10, no. 21 (2020): 7841. http://dx.doi.org/10.3390/app10217841.

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The development of additive manufacturing allows the transformation of technological processes and the redesign of products. Among the most used methods to support additive manufacturing, the design can be optimised through the integration of topology optimisation techniques, allowing for creating complex shapes. However, there are critical issues (i.e., definition of product and process parameters, selection of redesign variants, optimised designs interpretation, file exchange and data management, etc.) in identifying the most appropriate process and set-ups, as well as in selecting the best
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Kohlgrüber, Michael, Antonius Schröder, Félix Bayón Yusta, and Asier Arteaga Ayarza. "A new innovation paradigm: combining technological and social innovation." Matériaux & Techniques 107, no. 1 (2019): 107. http://dx.doi.org/10.1051/mattech/2018065.

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A new innovation paradigm is needed to answer the societal, economic and environmental challenges the world and companies are facing. The EU funded Horizon 2020 SPIRE Project “Coordinating Optimisation of Complex Industrial Processes” (COCOP) is combining technological and social innovation within a steel company pilot case (Sidenor). The project aims at reducing raw materials consumption (and energy and emissions reduction as well) by plant-wide optimisation of production processes based on a software solution and at the same time changing social practices. Key for COCOP is a methodology inte
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Redlein, A., C. Baretschneider, and L. Thrainer. "ESG monitoring and optimisation solutions and their return on investment: results of several case studies." IOP Conference Series: Earth and Environmental Science 1176, no. 1 (2023): 012029. http://dx.doi.org/10.1088/1755-1315/1176/1/012029.

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Abstract In 2021 the European Union defined the Environmental, Social and Governance (ESG) directive to foster sustainability. As the real estate sector is responsible for around 40% of the CO2 emissions, this industry has to carry out additional sustainability reporting and optimisation activities to prove its assets are fulfilling sustainability goals. Most investors concentrate on energy- and CO2 reduction, but ESG is much more. The Sustainable Development Goals of the United Nations give a perfect overview of the related topics but do not define KPIs. A second challenge is that the market
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Shariat, Mehrdad, Ömer Bulakci, Antonio De Domenico, et al. "A Flexible Network Architecture for 5G Systems." Wireless Communications and Mobile Computing 2019 (February 11, 2019): 1–19. http://dx.doi.org/10.1155/2019/5264012.

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In this paper, we define a flexible, adaptable, and programmable architecture for 5G mobile networks, taking into consideration the requirements, KPIs, and the current gaps in the literature, based on three design fundamentals: (i) split of user and control plane, (ii) service-based architecture within the core network (in line with recent industry and standard consensus), and (iii) fully flexible support of E2E slicing via per-domain and cross-domain optimisation, devising inter-slice control and management functions, and refining the behavioural models via experiment-driven optimisation. The
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Plumeyer, Jan Felix, Friedrich Moesle, Sebastian Wolf, Henrik Born, Heiner Hans Heimes, and Achim Kampker. "Optimisation of Solid-State Batteries: A Modelling Approach to Battery Design." Batteries 11, no. 4 (2025): 153. https://doi.org/10.3390/batteries11040153.

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Solid-state batteries (SSBs) present a promising advancement in energy storage technology, with the potential to achieve higher energy densities and enhanced safety compared to conventional lithium-ion batteries. However, their commercialisation is hindered by technical limitations and fragmented research efforts that predominantly focus on materials or individual performance parameters. This narrow scope limits SSB design and optimisation, potentially delaying the transition to commercial cells. Addressing these challenges requires a systematic framework that integrates key design and perform
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Vavallo, Michele, Marco Arnesano, Gian Marco Revel, et al. "Accelerating Energy Renovation Solution for Zero Energy Buildings and Neighbourhoods—The Experience of the RenoZEB Project." Proceedings 20, no. 1 (2019): 1. http://dx.doi.org/10.3390/proceedings2019020001.

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Buildings are the key factor to transform cities and to contribute to recent European energy efficiency objectives for 2030 and long-term 2050. New buildings account to only 1–2% annually. Yet, ninety percent of the existing building stock in Europe was built before 1990, it is therefore necessary to promote their energy renovation to achieve the set objectives. Renovation solutions are available on the market, yet a wrong implementation and integration due to a lack of knowledge neither maximizes the energy performance of the post-retrofitting nor the financial optimisation and viability of t
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Verovšek, Špela, and Miha Moškon. "Context-Specific Urban Optimisations Through Data-Driven Classification: A Perspective on Methods and Applications." Land 14, no. 8 (2025): 1505. https://doi.org/10.3390/land14081505.

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Urban environments are increasingly challenged by rapid urbanisation and climate change, demanding strategic responses that are both adaptable and sensitive to local context. Typological classification offers a structured approach to understanding diverse urban contexts, enabling targeted interventions that support climate neutrality and livability. While global pressures are shared, their impacts differ widely across cities, highlighting the need for context-aware urban analytics to guide effective transformation. This paper presents a methodological perspective on a computational framework a
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Branca, Teresa Annunziata, Ismael Matino, Valentina Colla, et al. "Paving the way for the optimization of water consumption in the steelmaking processes: barriers, analysis and KPIs definition." Matériaux & Techniques 108, no. 5-6 (2020): 510. http://dx.doi.org/10.1051/mattech/2021006.

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The efficient use of water resources is one of the main challenges of the steel sector, according to the European Union water policy. On this subject, monitoring and optimization systems, linked to the innovative water treatments, represent important tools to improve water management and the related energy use. The present paper describes a part of the work developed in the early stage of the project entitled “Water and related energy Hub Advanced Management system in steelworks – WHAM”, which is co-funded by the Research Fund for Coal and Steel. The project aims at optimizing water consumptio
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Kassen, Stefan, Holger Tammen, Maximilian Zarte, and Agnes Pechmann. "Concept and Case Study for a Generic Simulation as a Digital Shadow to Be Used for Production Optimisation." Processes 9, no. 8 (2021): 1362. http://dx.doi.org/10.3390/pr9081362.

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Optimising an existing production plant is a challenging task for companies. Necessary physical test runs disturb running production processes. Simulation models are one opportunity to limit these physical test runs. This is particularly important since today’s fast and intelligent networking opportunities in production systems are in line with the call of Industry 4.0 for substantial and frequent changes. Creating simulation models for those systems requires high effort and in-depth knowledge of production processes. In the current literature, digital twins promise several advantages for prod
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Dissertations / Theses on the topic "Optimisation des KPIs"

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Oudrhiri, Ali. "Performance of a Neural Network Accelerator Architecture and its Optimization Using a Pipeline-Based Approach." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS658.pdf.

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Ces dernières années, les réseaux de neurones ont gagné en popularité en raison de leur polyvalence et de leur efficacité dans la résolution d'une grande variété de tâches complexes. Cependant, à mesure que les réseaux neuronaux continuent de trouver des applications dans une gamme toujours croissante de domaines, leurs importantes exigences en matière de calcul deviennent un défi pressant. Cette demande en calcul est particulièrement problématique lors du déploiement de réseaux neuronaux sur des dispositifs embarqués aux ressources limitées, en particulier dans le contexte du calcul en périph
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Book chapters on the topic "Optimisation des KPIs"

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Panagiotopoulou, Vasiliki C., Alexios Papacharalampopoulos, and Panagiotis Stavropoulos. "Developing a Manufacturing Process Level Framework for Green Strategies KPIs Handling." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_112.

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AbstractGreen strategies in manufacturing have multifold perspectives implying that are highly diversified in terms of resources management. Popular green strategies are Zero Defect, Circularity and Sustainability. The challenges regarding resources efficiency result from different concepts addressed by each strategy; Zero Defect focuses on defect prevention via quality planning, control, and improvement, while Circularity addresses resources optimisation via resources management, material production, usage and disposal. Sustainability is a different approach, to include economic growth and so
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Strauss, Ralf. "Measurement and KPI Optimisation … Oldie, But Goldie." In Data-Driven Customer Engagement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64295-1_7.

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Conference papers on the topic "Optimisation des KPIs"

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Attar, Ahmad, Mahdi Babaee, Sadigh Raissi, and Majid Nojavan. "MULTI-OBJECTIVE AIRPORT SIMULATION-BASED OPTIMISATION USING DES AND RESPONSE SURFACE METAMODELS." In 12th Simulation Workshop. The Operational Research Society, 2025. https://doi.org/10.36819/sw25.026.

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The aviation industry has always faced uncertainties and vulnerabilities from all aspects, making planning and optimising its components quite challenging. This paper addresses some of these complexities by investigating civil airports that act as the main components of this industry. We develop a discrete event simulation (DES) model to estimate key performance indicators (KPIs) of such systems while considering both takeoff and landing operations. This model is then used to propose a set of metamodels that link the KPIs of the system to the input parameters through some mathematical equation
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Dubey, Pranav, Rachit Garg, Prateek Kumar, et al. "Calculating Invisible Loss Time (ILT) Index Values & Predictive Analysis Using Bayesian Approach to Improve Drilling Operational Efficiency: Adopting Best Practices." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216289-ms.

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Abstract Contribution in reducing Invisible Loss Time (ILT) towards operational efficiency has been a significant approach towards adopting best practices in drilling operations but predicting ILT using mathematical models accurately has been an additional challenge due to multiple factors contributing towards ILT. This paper sketches an algorithm for calculating the ILT Index value and then uses the Bayesian approach for predicting the invisible loss time (ILT) index value over other existing statistical methods. Digital Oilfield architecture processes along with data management systems have
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Romdhanne, Bilel Ben, Mourad Boudia, and Nicolas Bondoux. "Amadeus Migration Process a Simulation-Driven Process to Enhance the Migration to a Multi-Cloud Environment." In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131308.

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With the development of the cloud offers, we observe a prominent trend of applications being migrated from private infrastructure to the cloud. Depending on the application’s complexity, the migration can be complex and needs to consider several dimensions, such as dependency issues, service continuity, and the service level agreement (SLA). Amadeus, the travel industry leader, had partnered with Microsoft to migrate its IT ecosystem to the Azure cloud. This work addresses the specificity of cloud-to-cloud migration and the multi-cloud constraints. In this paper, we summarise the Amadeus Migra
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Tierney, Christopher M., Peter L. Higgins, Colm J. Higgins, Rory J. Collins, Adrian Murphy, and Damian Quinn. "Steps towards a Connected Digital Factory Cost Model." In 2023 AeroTech. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0999.

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<div class="section abstract"><div class="htmlview paragraph">Digital transformation is at the forefront of manufacturing considerations, but often excludes discrete event simulation and cost modelling capabilities, meaning digital twin capabilities are in their infancy. As cost and time are critical metrics for manufacturing companies it is vital the associated tools become a connected digital capability. The aim is to digitize cost modelling functionality and its associated data requirements in order to couple cost analysis with digital factory simulation. The vast amount of data
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Journal articles
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