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Journal articles on the topic 'Optimisation des KPIs'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

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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11

Goodfellow, Nicola, Maureen Spargo, Glenda Fleming, et al. "SHAPES of things to come- medicine control and optimisation." International Journal of Integrated Care 25 (April 9, 2025): 46. https://doi.org/10.5334/ijic.icic24025.

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Background: The Smart & Healthy Ageing through People Engaging in Supportive Systems (SHAPES) Innovation Action comprised 36 partners across 14 countries to build, deploy and pilot an EU-standardised open platform integrating a range of technological, organisational, clinical, educational and societal Digital Solutions to support healthy and independent living of older adults at home. Aim: SHAPES explored 7 themes including ‘Medicine control and optimisation’ represented by this pilot, which aimed to improve deficiencies in adherence to medicines and treatments of older adults living at ho

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12

Stora, T., C. Duchemin, W. Andreazza, et al. "CERN-MEDICIS: Operational indicators to support the production of new medical radionuclides by mass-separation." Journal of Physics: Conference Series 2687, no. 8 (2024): 082039. http://dx.doi.org/10.1088/1742-6596/2687/8/082039.

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Abstract CERN-MEDICIS is an isotope mass separation facility dedicated to biomedical research located in a type A work sector, receiving on average 50% of the 1.4 GeV protons delivered by the Proton Synchrotron Booster (PSB). It was commissioned with Radioactive Ion Beams (RIB’s) in 2017. MEDICIS has operated for the past 5 years in batch mode, with targets irradiated in a station located at the HRS beam dump, and with external sources provided by MEDICIS cyclotrons and nuclear reactors partners, notably during the Long Shutdown (LS2). Additional features of the facility include the MELISSA la

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Daller, Natalie. "The power of key performance indicators: How aligning success metrics to company objectives elevated the importance of digital asset management at Pampered Chef." Journal of Digital Media Management, March 1, 2019. http://dx.doi.org/10.69554/xkeg2293.

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Pampered Chef, a premier direct seller of high-quality kitchen tools, went through a total facelift in 2015, with a transformative cultural shift and new emphasis placed on aligning objectives throughout the organisation. Cascading objectives were introduced along with key performance indicators (KPIs) as a means to measure performance against objectives. The new process provided an opportunity to highlight the importance of efficient digital asset management (DAM). Over the past four years, use of Pampered Chef’s cloud-based enterprise DAM system has grown exponentially, increasing the number

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Muhieddine, Mohamad H., Shekhar K. Viswanath, Alan Armstrong, Amparo Galindo, and Claire S. Adjiman. "Model-Based Solvent Selection for the Synthesis and Crystallisation of Pharmaceutical Compounds." September 22, 2022. https://doi.org/10.5281/zenodo.5555796.

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The pharmaceutical industry needs design tools to identify greener and more resource-efficient process routes. Current model-based solvent selection methodologies often focus on the choice of solvent in a single unit operation, with fixed operating conditions. In particular, the two key stages of synthesis and separation are usually treated independently. This often results in the use of different solvents for each processing task, which typically requires energy-intensive solvent swap operations. In the current paper, we present a novel computer-aided approach based on computer-aided mixture/

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15

Jurczak, Marcin, Grzegorz Miebs, and Rafał A. Bachorz. "Multi-criteria human resources planning optimisation using genetic algorithms enhanced with MCDA." Operations Research and Decisions 32, no. 4 (2022). http://dx.doi.org/10.37190/ord220404.

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The main objective of this paper is to present an example of the IT system implementation with advanced mathematical optimisation for job scheduling. The proposed genetic procedure leads to the Pareto front, and the application of the multiple criteria decision aiding (MCDA) approach allows extraction of the final solution. Definition of the key performance indicator (KPI) reflecting relevant features of the solutions, and the efficiency of the genetic procedure provide the Pareto front comprising the representative set of feasible solutions. The application of chosen MCDA, namely elimination

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16

Mashingaidze, Melvin Mununuri, Pitchou Mukendi Bukasa, and Richard T. Mupeti. "Production Performance Evaluation of the Hoisting Systems at an Underground Gold Mine." Archives of Mining Sciences, March 31, 2025, 29–44. https://doi.org/10.24425/ams.2025.154161.

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The production performance of two hoisting systems operating in series at an underground gold mine was evaluated based on several key performance indicators (KPIs). All the KPIs were lower than the mining industry benchmarks, mainly due to lengthy and recurrent machine downtimes. Frequent breakdowns, power cuts, poor maintainability, and shaft flooding were some of the factors affecting the overall performance of these systems, as captured on the developed Fishbone Diagram. The average cycle times were much longer than expected, and the production rates were significantly lower at a 5% signifi

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17

Eales, Aran, Elizabeth Banda, Damien Frame, and Scott Strachan. "Understanding solar minigrid sustainability and impact through a holistic Key Performance Indicator framework." Environmental Research: Infrastructure and Sustainability, November 7, 2024. http://dx.doi.org/10.1088/2634-4505/ad8fcd.

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Abstract Despite increasing global electrification rates, over 700 million people remain without access to electricity, predominantly in Sub-Saharan Africa. Solar minigrids offer a promising solution for rural electrification in areas unlikely to be connected to the national grid. However, existing evaluations of minigrid projects often overlook holistic performance, particularly the social impacts on the communities they serve. This study aims to fill this gap by proposing a novel Key Performance Indicator (KPI) framework that integrates technical, economic, and social metrics, providing a co

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18

Rison, S. C. G., I. Dostal, Z. Ahmed, et al. "Protocol design and preliminary evaluation of the REAL-Health Triple Aim, an open-cohort CVD-care optimisation initiative." European Heart Journal 42, Supplement_1 (2021). http://dx.doi.org/10.1093/eurheartj/ehab724.3170.

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Abstract Introduction Effective treatment of cardiovascular disease (CVD) in primary care could be improved. We aim to assess the efficacy of a scalable treatment optimisation programme in unselected community populations in South East England, with the triple aim of improved blood pressure control in people with hypertension, increased high-intensity statin use in people with CVD and reduced gastrointestinal bleeding in patients on antithrombotic medication. Method This observational study comprises an open cohort of approximately 200,000 adults at high cardiovascular risk registered with gen

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19

Treanor, C., J. Smith, and M. McCabe. "124 AN INTERDISCIPLINARY PREHABILITATION PILOT FOR FRAIL ADULTS UNDERGOING ELECTIVE ANTERIOR RESECTION AND HARTMANN’S REVERSAL SURGERIES IN AN IRISH ACUTE HOSPITAL." Age and Ageing 51, Supplement_3 (2022). http://dx.doi.org/10.1093/ageing/afac218.103.

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Abstract Background Frailty affects 21.5% of individuals aged 65 and over in Ireland (TILDA, 2017).Timely interventions can limit or reverse the impacts of frailty. Local HIPE data from 2016-2020 highlighted correlations between increased average Length of Stay (aLOS) and median age (&gt;65 years) for those undergoing elective Anterior Resections and Hartmann’s reversal surgeries. Prehabilitation aims to identify and manage modifiable risk factors that may impact on LOS, as well as optimise patients’ resilience and physiological reserves to reduce postoperative complications. Modifiable fa

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20

Samal, Arnada Prasad. "Use of Data Analytics for Power Plant Operation Optimization." Power Research - A Journal of CPRI, March 1, 2024, 185–94. http://dx.doi.org/10.33686/pwj.v19i2.1149.

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Optimized operation and maintenance of a power plant to improve the KPIs is the key to success. Forced outages not only make the unit unavailable but also increase the number of start-ups and hence high cost and deteriorated plant life. Fault diagnostics and prediction of future behavior of equipment by data analytic techniques will be very handy in improving reliability. On the other hand, the cost of generation depends upon how efficiently the plants are operated. Any deviation from the optimized design point, results in losses and hence as far as possible the deviations should be minimized.

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21

Ashcroft, Julie. "Optimising metal content in PGM ammonia oxidation catalysts." Johnson Matthey Technology Review, 2020. http://dx.doi.org/10.1595/205651321x16012842414480.

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Platinum based knitted gauzes are the most efficient catalysts for the production of nitric oxide (NO), as a precursor to the manufacture of nitric acid and caprolactam. Decades of research and optimisation have resulted in a greater understanding of ammonia oxidation kinetics and associated metal movement within these catalyst packs, along with the development of beneficial binary and ternary alloys. The design of a pack has evolved from the simple addition or removal of metal to modelling the optimal installed metal content and distribution. This review discusses the fundamental kinetics and

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Khakyzadeh, Vahid, Hadi Rezaei-Vahidian, Sahra Sheikhaleslami, and Seyedeh Bahareh Azimi. "Modelling and optimisation of p-nitrophenol removal process using homogeneous photo-periodate (UV/KPI) advanced oxidation process." International Journal of Environmental Analytical Chemistry, June 28, 2021, 1–12. http://dx.doi.org/10.1080/03067319.2021.1938022.

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23

Chaudhuri, K. Ray, Per Odin, Joaquim J. Ferreira, et al. "Opicapone versus placebo in the treatment of Parkinson’s disease patients with end-of-dose motor fluctuation-associated pain: rationale and design of the randomised, double-blind OCEAN (OpiCapone Effect on motor fluctuations and pAiN) trial." BMC Neurology 22, no. 1 (2022). http://dx.doi.org/10.1186/s12883-022-02602-8.

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Abstract Background Optimisation of dopaminergic therapy may alleviate fluctuation-related pain in Parkinson’s disease (PD). Opicapone (OPC) is a third-generation, once-daily catechol-O-methyltransferase inhibitor shown to be generally well tolerated and efficacious in reducing OFF-time in two pivotal trials in patients with PD and end-of-dose motor fluctuations. The OpiCapone Effect on motor fluctuations and pAiN (OCEAN) trial aims to investigate the efficacy of OPC 50 mg in PD patients with end-of-dose motor fluctuations and associated pain, when administered as adjunctive therapy to existin

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