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Journal articles on the topic 'KPIs optimization'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Sishi, Michael, and Arnesh Telukdarie. "Adoption of Data-Driven Automation Techniques to Create Smart Key Performance Indicators for Business Optimization." Applied System Innovation 8, no. 1 (2025): 10. https://doi.org/10.3390/asi8010010.

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Key performance indicators (KPIs) are crucial for managing business performance and optimization strategies. However, traditional KPIs are inflexible and cannot adapt to changes in staff, business units, functions, and processes. To address this issue, this paper proposes a method that combines statistics, machine learning (ML), and artificial intelligence (AI) to augment traditional KPIs with the flexibility of data-driven automation (DDA) techniques. This study builds a model that takes traditional KPIs generated by an integrated ecosystem as input data and assesses the suitability and corre

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Waurisch, Heiko, Nick von Bargen, Nico Ploczicki, et al. "Assessment of Grid and System Supportability Based on Spatio-Temporal Conditions—Novel Key Performance Indicators for Energy System Evaluation." Energies 17, no. 7 (2024): 1534. http://dx.doi.org/10.3390/en17071534.

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The energy transition introduces new technical standards, laws and regulations regarding the stability and reliability of energy grids and systems. Due to the non-existence of a measuring standard, key performance indicators (KPIs) were developed to enable the measurement and comparison of individual energy grid (namely electricity, heat and gas grid) and system supportabilities while also promoting well-founded decision-making and optimization efforts. Inconsistencies in definitions concerning fundamental energy terms and the correlations between them inhibit the effective usage of the KPIs.

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Wijaya, I. Made Sondra, M. Ansyar Bora, Ririt Dwiputri Permatasari, and Melda Andhini Fhasya Zulkarnaian. "Application of RACI Framework for optimization of Key Performance Indicators (KPI) in manufacturing companies." Dinasti International Journal of Education Management And Social Science 6, no. 4 (2025): 2554–64. https://doi.org/10.38035/dijemss.v6i4.4108.

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This study successfully formulates effective Key Performance Indicators (KPIs) for measuring company performance using the RACI framework at PT XYZ Batam. The RACI framework, which identifies roles and responsibilities as Responsible, Accountable, Consulted, and Informed, is applied to ensure that each performance measurement aspect receives appropriate and accurate assessment. This research covers the identification of relevant KPIs in three key areas: work discipline, Occupational Health and Safety (OHS), and work environment. Through surveys and interviews with company stakeholders, the sel

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Islam, Md Rakibul, Syed Mithun Ali, Amir Mohammad Fathollahi-Fard, and Golam Kabir. "A novel particle swarm optimization-based grey model for the prediction of warehouse performance." Journal of Computational Design and Engineering 8, no. 2 (2021): 705–27. http://dx.doi.org/10.1093/jcde/qwab009.

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Abstract Warehouses constitute a key component of supply chain networks. An improvement to the operational efficiency and the productivity of warehouses is crucial for supply chain practitioners and industrial managers. Overall warehouse efficiency largely depends on synergic performance. The managers preemptively estimate the overall warehouse performance (OWP), which requires an accurate prediction of a warehouse’s key performance indicators (KPIs). This research aims to predict the KPIs of a ready-made garment (RMG) warehouse in Bangladesh with a low forecasting error in order to precisely

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Imoize, Agbotiname Lucky, Friday Udeji, Joseph Isabona, and Cheng-Chi Lee. "Optimizing the Quality of Service of Mobile Broadband Networks for a Dense Urban Environment." Future Internet 15, no. 5 (2023): 181. http://dx.doi.org/10.3390/fi15050181.

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Mobile broadband (MBB) services in Lagos, Nigeria are marred with poor signal quality and inconsistent user experience, which can result in frustrated end-users and lost revenue for service providers. With the introduction of 5G, it is becoming more necessary for 4G LTE users to find ways of maximizing the technology while they await the installation and implementation of the new 5G networks. A comprehensive analysis of the quality of 4G LTE MBB services in three different locations in Lagos is performed. Minimal optimization techniques using particle swarm optimization (PSO) are used to propo

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Kodey, Naga Harini. "Machine Learning-Driven KPIs for Revenue Optimization in Adtech." International Journal of Computer Sciences and Engineering 12, no. 9 (2024): 14–17. https://doi.org/10.26438/ijcse/v12i9.1417.

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Fethia Zenak. "Digitalization and Optimization of University Business Processes through BPM and KPI Integration." Journal of Information Systems Engineering and Management 10, no. 4 (2025): 753–68. https://doi.org/10.52783/jisem.v10i4.9891.

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Introduction: The digitalization of business processes has become a necessity for organizations to enhance their efficiency and productivity. Higher education institutions, in particular, are increasingly turning to digital solutions to streamline administrative operations and improve service delivery to students. Objective: This study aims to digitalize and improve the business processes of the university by leveraging Business Process Management (BPM) mechanisms and new technologies. The primary focus is on optimizing student support processes to enhance efficiency, reduce administrative del

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Salmina, M., S. Munzir, I. Syahrini, V. Halfiani, and S. Rizal. "Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods." International Journal of Mathematical, Engineering and Management Sciences 10, no. 1 (2025): 92–112. https://doi.org/10.33889/ijmems.2025.10.1.006.

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Dynamic models of higher education Key Performance Indicators (KPI) help in understanding how internal and external factors affect future KPI achievement. This study aims to construct a dynamic model of university KPI variables and estimate model parameters value. Several used steps to achieve goals are problem definition, variables, model formulation, prerequisite estimation, and conformity analysis. This model involves eight KPIs and three types of funding. Three optimization methods used are Type I constrained optimization, Type II constrained optimization, and unconstrained optimization. T

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Karjust, Kristo, Marmar Mehrparvar, Sergei Kaganski, and Tõnis Raamets. "Development of a Sustainability-Oriented KPI Selection Model for Manufacturing Processes." Sustainability 17, no. 14 (2025): 6374. https://doi.org/10.3390/su17146374.

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Modern manufacturing systems operate in a global and competitive environment, where sustainability has become a critical driver for performance. Performance measurement, as a method for monitoring enterprise processes, plays a central role in aligning operational efficiency with sustainable development goals. Recently, a number of different frameworks, systems, and methods have been proposed for small and medium enterprises. Key performance indicators (KPIs) are known to be powerful tools which provide accurate information regarding bottlenecks and weak spots in companies. The purpose of the c

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Znamenák, Jaroslav, Gabriela Križanová, Miriam Iringová, and Pavel Važan. "A Proposal for Production Data Collection on a Hybrid Production Line in Cooperation with MES." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 24, no. 39 (2016): 137–44. http://dx.doi.org/10.1515/rput-2016-0028.

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Abstract Due to the increasing competitive environment in the manufacturing sector, many industries have the need for a computer integrated engineering management system. The Manufacturing Execution System (MES) is a computer system designed for product manufacturing with high quality, low cost and minimum lead time. MES is a type of middleware providing the required information for the optimization of production from launching of a product order to its completion. There are many studies dealing with the advantages of the use of MES, but little research was conducted on how to implement MES ef

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Ojonugwa, Benjamin Monday, Bisayo Oluwatosin Otokiti, Olayinka Abiola-Adams, and Florence Ifeanyichukwu Olinmah. "Constructing Data-Driven Business Process Optimization Models Using KPI-Linked Dashboards and Reporting Tools." International Journal of Multidisciplinary Research and Growth Evaluation 2, no. 2 (2021): 330–36. https://doi.org/10.54660/.ijmrge.2021.2.2.330-336.

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This paper explores the construction of data-driven business process optimization (BPO) models through the integration of KPI-linked dashboards using Power BI and Excel analytics. By grounding optimization efforts in well-identified and strategically aligned KPIs, organizations gain enhanced visibility into performance metrics that drive operational efficiency. The study examines the theoretical foundations of BPO, highlighting the critical role of measurable KPIs and data-driven decision-making frameworks rooted in continuous improvement methodologies. It further analyzes the strengths of Pow

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Yu, T. X., Yan Fei Xiang, Min Wang, and Li Ming Yang. "Key Performance Indicators of Tubes Used as Energy Absorbers." Key Engineering Materials 626 (August 2014): 155–61. http://dx.doi.org/10.4028/www.scientific.net/kem.626.155.

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Based on our extensive studies on the experimental, theoretical and numerical results on various tubes under axial compression/impact in the last few years, we propose a set of Key Performance Indicators (KPIs) to assess and compare the energy absorbing performance of tubular structures with various configurations, so as to guide the design of energy absorbers whilst to archive a certain degree of optimization. The KPIs have five factors: Effective stroke ratio (ESR), Non-dimensional Load-carrying capacity (NLC), Effectiveness of energy absorption (EEA), Specific energy absorption capacity (SE

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Sirait, Fadli, Akhmad Wahyu Dani, Yuliza Yuliza, and Ulil Albab. "OPTIMIZATION IN QUALITY OF SERVICE FOR LTE NETWORK USING BANDWIDTH EXPANSION." SINERGI 23, no. 1 (2019): 47. http://dx.doi.org/10.22441/sinergi.2019.1.007.

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QoS (Quality of Service) of LTE networks can bring the providers to provide broadband services with high performance to end user. Furthermore, the expected data rate transfer is up to 300 Mbit/s per user while the range of bandwidth varies from 1.4 MHz to 20 MHz. The network worked in 1800 MHz bands, 64 QAM modulation technique and used 10 MHz and 15 MHz channel bandwidth. There is a congestion problem for LTE network with 10 MHz channel bandwidth due to high utilization. The paper tries to analyze the QoS parameters, named Key Performance Indicators (KPI) for LTE Networks to solve the problem

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Xiang, Yanfei, Min Wang, Tongxi Yu, and Liming Yang. "Key Performance Indicators of Tubes and Foam-Filled Tubes Used as Energy Absorbers." International Journal of Applied Mechanics 07, no. 04 (2015): 1550060. http://dx.doi.org/10.1142/s175882511550060x.

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Based on a systematic investigation on the experimental, theoretical and numerical results on various tubes under axial compression/impact including our own tests, a set of key performance indicators (KPIs) for assessing and comparing the energy absorbing performance of tubular structures with various configurations is proposed, so as to guide the design of energy absorbers whilst to facilitate parameter optimization. The five KPIs proposed on the basis of mechanical analyses are effective stroke ratio (ESR), nondimensional load-carrying capacity (NLC), specific energy absorption (SEA), effect

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Zhang, Shaoliang, Miguel Ángel Gomez, Qing Yi, Rui Dong, Anthony Leicht, and Alberto Lorenzo. "Modelling the Relationship between Match Outcome and Match Performances during the 2019 FIBA Basketball World Cup: A Quantile Regression Analysis." International Journal of Environmental Research and Public Health 17, no. 16 (2020): 5722. http://dx.doi.org/10.3390/ijerph17165722.

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The FIBA Basketball World Cup is one of the most prominent sporting competitions for men’s basketball, with coaches interested in key performance indicators (KPIs) that give a better understanding of basketball competitions. The aims of the study were to (1) examine the relationship between match KPIs and outcome in elite men’s basketball; and (2) identify the most suitable analysis (multiple linear regression (MLR) vs. quantile regression (QR)) to model this relationship during the men’s basketball tournament. A total of 184 performance records from 92 games were selected and analyzed via MLR

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de Matos, Bárbara, Rodrigo Salles, Jérôme Mendes, Joana R. Gouveia, António J. Baptista, and Pedro Moura. "A Review of Energy and Sustainability KPI-Based Monitoring and Control Methodologies on WWTPs." Mathematics 11, no. 1 (2022): 173. http://dx.doi.org/10.3390/math11010173.

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Humanity faces serious problems related to water supply, which will be aggravated by population growth. The water used in human activities must be treated to make it available again without posing risks to human health and the environment. In this context, Wastewater Treatment Plants (WWTPs) have gained importance. The treatment process in WWTPs is complex, consisting of several stages, which consume considerable amounts of resources, mainly electrical energy. Minimizing such energy consumption while satisfying quality and environmental requirements is essential, but it is a challenging task d

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Malviya, Ashwani Kumar, Mehdi Zarehparast Malekzadeh, Francisco Enrique Santarremigia, et al. "Optimization of Life Cycle Cost and Environmental Impact Functions of NiZn Batteries by Using Multi-Objective Particle Swarm Optimization (MOPSO)." Sustainability 16, no. 15 (2024): 6425. http://dx.doi.org/10.3390/su16156425.

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This study aims to optimize the Environmental Life Cycle Assessment (LCA) and Life Cycle Cost (LCC) of NiZn batteries using Pareto Optimization (PO) and Multi-objective Particle Swarm Optimization (MOPSO), which combine Pareto optimization and genetic algorithms (GA). The optimization focuses on the raw material acquisition phase and the end-of-life phase of NiZn batteries to improve their sustainability Key Performance Indicators (KPIs). The optimization methodology, programmed in MATLAB, is based on a formulation model of LCC and the environmental LCA, using data available from the Ecoinvent

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Ho, Man Ying (Annie), Joseph H. K. Lai, Huiying (Cynthia) Hou, and Dadi Zhang. "Key Performance Indicators for Evaluation of Commercial Building Retrofits: Shortlisting via an Industry Survey." Energies 14, no. 21 (2021): 7327. http://dx.doi.org/10.3390/en14217327.

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Key performance indicators (KPIs) are quintessentially useful for performance evaluation, but a set of pragmatic KPIs for holistic evaluation of retrofits for commercial buildings is hitherto unavailable. This study was conducted to address this issue. Built upon the findings of a systematic literature review and a focus group meeting in the earlier stages of the study, a questionnaire survey covering 19 KPIs for environmental (embracing energy), economic, health and safety, and users’ perspective evaluations of building retrofits was developed. Data of the survey, collected from facility mana

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Tuncer, Gozde, Deniz Mansouri, and Polat Şendur. "The effect of spotwelds and structural adhesives on static and dynamic characteristics of vehicle body design." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 235, no. 12 (2021): 3207–19. http://dx.doi.org/10.1177/09544070211004468.

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Spotwelding and structural adhesive applications are two important processes in the automotive industry as they are closely associated with the functional requirements, weight, and cost of the vehicle. Even though there is a vast body of literature on their mathematical models, the effect of these processes on key vehicle performance indices and optimization is rather limited. Besides, the weight benefit of these processes in terms of functional requirements has not been investigated. There are multiple objectives of the paper to fill this gap: (i) to quantify the effect of structural adhesive

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Cecchini, Alessia, Grazia Maria Pia Masselli, and Sergio Silvestri. "Evaluation and optimization of CES performances: application of Pareto principle to KPIs." Global Clinical Engineering Journal 4, no. 1 (2021): 14–21. http://dx.doi.org/10.31354/globalce.v4i1.87.

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In recent times the approach to health care has been mostly influenced by the growing number of biomedical equipment used in hospitals, which needs the presence of the Clinical Engineering Service (CES). The aim of this work is to suggest a methodology to improve the performance of a CES through the application of Pareto principle to main Key Performance Indicators (KPIs). The methodology is applied by focusing on the use of KPIs that represent a quantifiable measure of achieving goals set by an organization. In this study five KPIs are considered: Uptime, MTTR (mean time to repair), PPM

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Carpenter, Chris. "Collaborative Approach Optimizes Automated-Drilling Performance Measurement." Journal of Petroleum Technology 74, no. 10 (2022): 68–70. http://dx.doi.org/10.2118/1022-0068-jpt.

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_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 31579, “A Successful Case Study of a Collaborative Approach in Operational Optimization Through Adoption of Automated-Drilling-Performance Measurement,” by Muhammad Afiq Arif Normin, TDE Group, and Azlesham Rosli and Meor M.H.M. Hashim, SPE, Petronas, et al. The paper has not been peer reviewed. Copyright 2022 Offshore Technology Conference. Reproduced by permission. _ This paper discusses the strategy devised, the approach implemented, and the challenges experienced in the adoption and implement

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Bikas, Harry, Michail Aggelos Terzakis, and Panagiotis Stavropoulos. "Manufacturability-Based Design Optimization for Directed Energy Deposition Processes." Machines 11, no. 9 (2023): 879. http://dx.doi.org/10.3390/machines11090879.

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Additive Manufacturing (AM) is the process of joining materials by selectively depositing them layer upon layer for the purpose of manufacturing parts or assemblies which are based on a 3D digital model. The nature of these processes results in the morphing of complex component geometries, enabling a high degree of design freedom and resulting in lightweight structures with increased performance. These processes, however, experience many limitations regarding manufacturability. The aim of this study is to develop a method and tool that optimizes the design of a component to avoid overhanging g

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El Mahjoubi, Ahmed, Tomader Mazri, and Nabil Hmina. "4.5G Capacity & QoS Optimization: A New Proposal to Enhance the Principal KPIs of 5G/IoT." International Journal of Online Engineering (iJOE) 14, no. 11 (2018): 193. http://dx.doi.org/10.3991/ijoe.v14i11.9256.

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RF capacity management and optimization is an important part of the network performances of the future. Technically, 4.5G/5G mobile network is expected to enable people-thing and thing-thing interconnections by combining communication technologies and networks. Our Lab has been actively promoting research on 4G &amp; 5G performances, in which the RF Capacity management issue is of great interest. New 4G/5G tests put forward a lot of requirements for RF network performances in terms of KPIs, QoS, as well as user experience. Based on Morocco’s current situation, this article first discusses

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Athar Javed Ali. "Evaluation of Key Performance Indicators (KPIs) for Enhancing Efficiency, Sustainability, and Operational Optimization in Renewable Energy Management using Artificial Intelligence and Large Language Models." Journal of Information Systems Engineering and Management 10, no. 11s (2025): 320–28. https://doi.org/10.52783/jisem.v10i11s.1594.

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The integration of Large Language Models (LLMs) within renewable energy systems presents an innovative approach to optimizing energy efficiency, enhancing sustainability, and improving operational performance (Bai, J., Wang, Y., Chen, Y., et. al. 2021). Despite their potential, a clear methodology for evaluating the success of LLM implementations remains underdeveloped. This paper introduces a structured framework for evaluating Key Performance Indicators (KPIs) tailored to LLM applications in the renewable energy sector. The framework systematically addresses the assessment of LLM-driven impr

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Maduekwe, Victor Chidiebere, and Sunday Ayoola Oke. "Novel Taguchi scheme–based DEMATEL methods and DEMATEL method for the principal performance indicators of maintenance in a food processing industry." International Journal of Intelligent Computing and Cybernetics 14, no. 3 (2021): 363–97. http://dx.doi.org/10.1108/ijicc-12-2020-0209.

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PurposeKey performance indicators (KPIs) of maintenance systems serve as benchmarks to workers and organizations to compare their goals for decision-making purposes. Unfortunately, the effects of one KPI on the other are least known, restraining decisions on prioritization of KPIs. This article examines and prioritizes the KPIs of the maintenance system in a food processing industry using the novel Taguchi (T) scheme-decision-making trial and evaluation laboratory (DEMATEL) method, Taguchi–Pareto (TP) scheme–DEMATEL method and the DEMATEL method.Design/methodology/approachThe causal associatio

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Hariyanto, Krisnadhi, M. Hasan Abdullah, Ong Andre Wahyu Riyanto, et al. "Pengukuran Kinerja Karyawan Bagian Pengiriman Barang Di UD. Bima Sakti Timur Raya Surabaya Menggunakan Metode Key Performance Indicator (KPI)." Journal of System Engineering and Technological Innovation 4, no. 01 (2025): 344–52. https://doi.org/10.38156/jisti.v4i01.123.

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Performance measurement using KPIs has proven to provide an accurate overview of individual performance in the delivery department. The majority of employees were able to meet the set targets, indicating that, overall, the team's performance falls within a good category. Nevertheless, there are still areas that require improvement, such as reducing delivery errors and increasing customer satisfaction crucial aspects in maintaining the company's reputation and consumer loyalty. Enhance to performance quality, regular training is needed to strengthen understanding of work procedures and improve

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Juan, Angel A., Majsa Ammouriova, Veronika Tsertsvadze, Celia Osorio, Noelia Fuster, and Yusef Ahsini. "Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics." Energies 16, no. 20 (2023): 7195. http://dx.doi.org/10.3390/en16207195.

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With the increasing demand for sustainable urban development, smart cities have emerged as a promising solution for optimizing energy usage, reducing emissions, and enhancing the quality of life for citizens. In this context, the combined use of key performance indicators (KPIs) and data analytics has gained significant attention as a powerful tool for promoting energy efficiency and emissions reduction in urban areas. This paper presents a comprehensive conceptual framework in which a series of KPIs are proposed to serve as essential metrics for guiding, monitoring, and assessing energy effic

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Biser, Stefan, Guido Wortmann, Swen Ruppert, Mykhaylo Filipenko, Mathias Noe, and Martin Boll. "Predesign Considerations for the DC Link Voltage Level of the CENTRELINE Fuselage Fan Drive Unit." Aerospace 6, no. 12 (2019): 126. http://dx.doi.org/10.3390/aerospace6120126.

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Electric propulsion (EP) systems offer considerably more degrees of freedom (DOFs) within the design process of aircraft compared to conventional aircraft engines. This requires large, computationally expensive design space explorations (DSE) with coupled models of the single components to incorporate interdependencies during optimization. The purpose of this paper is to exemplarily study these interdependencies of system key performance parameters (KPIs), e.g., system mass and efficiency, for a varying DC link voltage level of the power transmission system considering the example of the propu

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Sánchez, Almudena, Rocío Acedo-Hernández, Matías Toril, Salvador Luna-Ramírez, and Carlos Úbeda. "A Trace Data-Based Approach for an Accurate Estimation of Precise Utilization Maps in LTE." Mobile Information Systems 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/2752364.

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For network planning and optimization purposes, mobile operators make use of Key Performance Indicators (KPIs), computed from Performance Measurements (PMs), to determine whether network performance needs to be improved. In current networks, PMs, and therefore KPIs, suffer from lack of precision due to an insufficient temporal and/or spatial granularity. In this work, an automatic method, based on data traces, is proposed to improve the accuracy of radio network utilization measurements collected in a Long-Term Evolution (LTE) network. The method’s output is an accurate estimate of the spatial

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Brochado, Ângela F., Eugénio M. Rocha, and Diogo Costa. "A Modular IoT-Based Architecture for Logistics Service Performance Assessment and Real-Time Scheduling towards a Synchromodal Transport System." Sustainability 16, no. 2 (2024): 742. http://dx.doi.org/10.3390/su16020742.

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Logistics is significantly impacted by quality/quantity issues associated with data collection and data sharing restrictions. Nonetheless, public data from national entities and internet-of-things (IoT) solutions enable the development of integrated tools for performance analysis and real-time optimization of logistics networks. This study proposes a three-module data-driven system architecture that covers (a) logistics data collection tools, (b) logistics services performance evaluation, and (c) the transition to synchromodal systems. Module 1 integrates multisource data from national logisti

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Simon, Victor, Carl-Anders Johansson, and Diego Galar. "Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs." Management Systems in Production Engineering 25, no. 3 (2017): 183–90. http://dx.doi.org/10.1515/mspe-2017-0027.

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AbstractAll electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a long

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Christoforidou, Popi, George Bariamis, Maria Iosifidou, Eri Nikolaidou, and Petros Samaras. "Energy Benchmarking and Optimization of Wastewater Treatment Plants in Greece." Environmental Sciences Proceedings 2, no. 1 (2020): 36. http://dx.doi.org/10.3390/environsciproc2020002036.

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Wastewater treatment, as a crucial component of the urban water environment, consists of several energy-consumptive stages, therefore efficiency and energy savings measures are essential to maintain them as environmentally sustainable and economically viable. Operational and technical data from WWTPs in Greece have been collected as well as a sample from 61 facilities with key energy profile components. Energy consumption was assessed by specific key performance indicators (KPIs); specific energy consumption expressed per population equivalent (from 3 to 150 kWh/PE), per cubic meter treated (f

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Sá, Marília Caroline C. de, Diego Q. F. de Menezes, Tahyná B. Fontoura, et al. "Modeling of Spiral Wound Membranes for Gas Separations—Part IV: Real-Time Monitoring Based on Detailed Phenomenological Model." Processes 12, no. 11 (2024): 2597. http://dx.doi.org/10.3390/pr12112597.

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The present study presents, for the first time, the real-time monitoring of an actual spiral-wound membrane unit used for CO2 removal from natural gas in an actual industrial offshore platform, utilizing a detailed phenomenological model. An Object-Oriented Programming (OOP) paradigm was employed to simulate the offshore membrane separation unit, accounting for the diverse levels of the membrane separation setup. A parameter estimation procedure was implemented to fit the phenomenological model to the real industrial data in real-time, for the first time. In addition, estimated permeance param

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Wang, Xiaoling, Xiaofang Zhang, Ning Li, Chengfeng Han, Zhuping Yuan, and Huanyu Gao. "A Time Series Prediction Approach Based on Hybrid Tuning for Database Performance Indicator in AIOps." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 5 (2020): 1030–37. http://dx.doi.org/10.1051/jnwpu/20203851030.

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One of the most important applications of the intelligent operation and maintenance of a cloud database is its trend prediction of key performance indicators (KPI), such as disk use, memory use, etc. We propose a method named AutoPA4DB (Auto Prophet and ARIMA for Database) to predict the trend of the KPIs of the cloud database based on the Prophet model and the ARIMA model. Our AutoPA4DB method includes data preprocessing, model building, parameter tuning and optimization. We employ the weighted MAPE coverage to measure its accuracy and use 6 industrial datasets including 10 KPIs to compare th

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Bagchi, Arkya, Akash Chowdhary, Abhishek Takki, and Raminder Kaur. "Simulation and Optimization of Ultrasonic Transducer." International Journal of Electrical and Electronics Research 10, no. 3 (2022): 423–28. http://dx.doi.org/10.37391/ijeer.100303.

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The ultrasonic transducers have numerous applications in industries, including medical probes for performing ultrasound scans. One of the significant drawbacks of the ultrasonic transducer is the wastage of a large portion of energy, due to high acoustic impedance, while transmitting ultrasonic waves to the target object. The present study is aimed to investigate the material design of the piezo-composite transducer and improve its performance. Different piezo-composite transducers were simulated in the COMSOL environment by varying input parameters, and three key performance indicators (KPI)

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Mushtaq, Umar, and Md Khalil Shahid. "Optimization of Revenue Assurance and Fraud Management System by Designing New KPIs: Case PTCL." International Journal of Computer Applications 89, no. 8 (2014): 8–11. http://dx.doi.org/10.5120/15520-4129.

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Ahmad Akbar, Suheri, and Josua Betrand Sinaga. "Design Website for Digital Promotion SMEs Product by Optimize SEO Techniques." International Journal Of Computer Sciences and Mathematics Engineering 2, no. 2 (2023): 231–40. http://dx.doi.org/10.61306/ijecom.v2i2.46.

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Small and medium-sized enterprises (SMEs) frequently face challenges in effectively promoting and selling their products online. This study aims to develop an optimized website design for digital promotion of SME products, incorporating enhanced search engine optimization (SEO) techniques. The paper first reviews key barriers inhibiting SMEs from harnessing digital channels, including limited expertise and resources in web development, SEO, and online marketing. Core principles of effective website design are then introduced, covering aspects like user-friendly interfaces, high-quality content

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Peerbasha, Dr, Dr Mohammed Iqbal, Dr Mohamed Surputheen, and Mohamed Faisal. "A Machine Learning-Driven Power BI Dashboard for Sales and Operational Performance Analysis in Instant Delivery Services." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02783.

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This study introduces a machine learning-enhanced Power BI dashboard tailored for tracking and analyzing sales performance, customer dynamics, and operational metrics of Blinkit, a rapid delivery platform. The dashboard is engineered to provide stakeholders with intuitive visual analytics and key performance indicators (KPIs), fostering informed and data-driven decision-making. By aggregating and processing diverse datasets—such as order histories, customer profiles, inventory levels, delivery logs, and marketing data—the system delivers comprehensive insights into business performance. Key fo

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Leisenberg, Manfred. "Strategies and Tools for Marketing Based on Mobile Services and Devices–An Overview." International Business Research 9, no. 4 (2016): 66. http://dx.doi.org/10.5539/ibr.v9n4p66.

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<p>The selection of appropriate tools has great influence on the success of mobile marketing. Monitoring and tracking make it possible to assess the results of the use of these tools. This article will compare what tools and monitoring methods can be used in target-oriented companies on the basis of their inclusion in social media optimization. Advantages of particular tools are discussed. A comparison of properties of mobile websites and native apps regarding development cost, change cycles, speed and other characteristics is provided. The continuous improvement of the mobile marketing

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Ayala Orihuela, Ghercy Gustavo, and Fernando Yeremy Palacios Parillo. "Management Tools for Underground Mining Optimization." Revista Ciencia y Tecnología 20, no. 3 (2024): 11–22. http://dx.doi.org/10.17268/rev.cyt.2024.03.01.

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The objective of this research work was to optimize productivity and reduce costs in mechanized underground mining operations; for which management tools such as TPM (Total Productive Maintenance) were applied, which made it possible to ensure the expected reliability of the equipment and Management Indicators (KPIs), contributing to greater effectiveness in operations and statistical tools to improve quality, Pareto charts and Ishikawa diagrams. A descriptive methodology consisting of the daily collection of data contained in the mine operations records, to analyze it and identify opportuniti

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Li, Qingrui. "Research on Optimization of Marketing Strategy Based on Big Data Analysis." Academic Journal of Management and Social Sciences 10, no. 1 (2025): 138–44. https://doi.org/10.54097/v8ef8s24.

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This research focuses on optimizing marketing strategies through big data analysis. By investigating the specific applications, challenges, and opportunities of leveraging big data in marketing, the study aims to develop a comprehensive framework for integrating data-driven insights into marketing decision-making processes. It examines the impact of big data-driven strategies on key performance indicators (KPIs), including customer acquisition, engagement, and conversion rates. The findings contribute to the development of best practices and frameworks for integrating big data into marketing d

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Larsen, O. K., M. Z. Pomianowski, G. Chiesa, et al. "E-DYCE - Dynamic approach to the dynamic energy certification of buildings." Journal of Physics: Conference Series 2600, no. 3 (2023): 032015. http://dx.doi.org/10.1088/1742-6596/2600/3/032015.

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Abstract The energy performance certification (EPC) scheme, introduced in the European Union approximately 20 years ago, has become the focus of the upcoming revision of the Energy Performance of Buildings Directive (EPBD). Despite its widespread use, the current EPC scheme has several shortcomings that need to be addressed. The Energy flexible DYnamic building Certification (E-DYCE) project has developed a dynamic approach to address these issues. The methodology includes a dynamic assessment of a building’s energy needs and comfort conditions under standard and different from standard condit

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Bekmirzaev, Obidjon, Kumushbibi Gulomova, and Maftuna Bekmirzaeva. "INDICATORS USED TO ASSESS THE SUCCESS OF ERP SYSTEMS." International Journal of Advance Scientific Research 5, no. 3 (2025): 89–95. https://doi.org/10.37547/ijasr-05-03-13.

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As a result of the rapid development of the digital transformation process, ERP (Enterprise Resource Planning) systems are becoming increasingly important for effective management of enterprises. This article analyzes the key performance indicators (KPIs) used to evaluate the success of ERP systems. Recommendations are given on the advantages of ERP systems for enterprises, the results of their implementation, and increasing their effectiveness. The level of success of ERP systems is assessed based on such indicators as financial efficiency, user experience, process automation, and cost optimi

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McGinley, Orlaith, Paul Moran, and Jamie Goggins. "An Assessment of the Key Performance Indicators (KPIs) of Energy Efficient Retrofits to Existing Residential Buildings." Energies 15, no. 1 (2022): 334. http://dx.doi.org/10.3390/en15010334.

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Quantifying the wider benefits of energy efficient building retrofits is crucial to incentivise householder retrofit investments. This research recognises the value of key performance indicators (KPIs) for assessing and demonstrating retrofitting benefits and provides an assessment of KPIs for evaluating retrofits. An integrated framework for evaluating retrofits using a set of economic, social, and environmental KPIs is proposed. This KPI framework is then applied in a pre- and post-retrofit assessment of five case study dwellings located in Ireland, revealing its usefulness in demonstrating

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Andreadou, Nikoleta, Dimitrios Thomas, Antonio De Paola, Evangelos Kotsakis, and Gianluca Fulli. "Holistic Evaluation of Demand Response Events in Real Pilot Sites: From Baseline Calculation to Evaluation of Key Performance Indicators." Energies 16, no. 16 (2023): 6048. http://dx.doi.org/10.3390/en16166048.

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Explicit demand response plays a significant role in the future energy grid transition, as it involves end consumers in smart grid activities and, at the same time, exploits the potential of flexibility, giving the opportunity to grid operators to accommodate a total amount of energy without the need to reinforce the grid infrastructure. For evaluating the successfulness of a demand response program, thus, evaluating its advantages, it is fundamental to have an accurate baseline curve consumption along with meaningful key performance indicators. In this work, we propose a novel way of calculat

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Balaras, Constantinos A., Kalliopi G. Droutsa, Elena G. Dascalaki, et al. "Auditing and Rating Sustainability of Mediterranean Buildings, Neighbourhoods and Cities." Energies 17, no. 1 (2023): 82. http://dx.doi.org/10.3390/en17010082.

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Sustainability rating systems for the built environment involve a multitude of indicators that are based on different types of data. This work capitalizes on an existing multicriteria assessment method and supporting decision-making tool at building and neighbourhood scale, to develop an enhanced method and tool at city scale. The main sustainability issues at building and city scales include site and infrastructure, energy and resources consumption, environmental loadings, climate change, environmental quality, water, waste, transportation, services, social aspects, economy and governance. Ap

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Konakalla, Kiran. "Effective Archival of Salesforce Stale Data: A Strategy for System Optimization and Cost Efficiency." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32667.

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This paper explores the importance of archiving stale data in Salesforce and how implementing an ongoing archival process helps maintain accurate, up-to-date information while optimizing system performance and reducing storage costs. As businesses generate vast amounts of data daily, the accumulation of outdated information can slow system operations, increase storage costs, and lead to data inaccuracies. The paper will outline best practices for Salesforce data archival, including soft archival strategies, hard deletion, data backup procedures, and integration precautions. Examples of account

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Kaganski, S., and S. Toompalu. "Development of key performance selection index model." Journal of Achievements in Materials and Manufacturing Engineering 1, no. 82 (2017): 33–40. http://dx.doi.org/10.5604/01.3001.0010.2077.

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Purpose: The main idea of this paper is to introduce the refined model for selection of the Key performance indicators (KPI). The KPI selection model can be considered as a tool for analysis of the enterprise, which should be able to simplify the choice of the right metrics for the company, where study has been conducted. The Enterprise analysis model (EAM) will provide the information regarding weak spots on the production and provide further steps to the management. Those actions will save time and reduce resources that are necessary to implement metrics in company. Design/methodology/approa

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Geese, Marc. "Automotive Image Quality Concepts for the next SAE levels: Color Separation and Contrast Detection Probability." Electronic Imaging 2020, no. 16 (2020): 19–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.16.avm-019.

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In this paper, we present an overview of automotive image quality challenges and link them to the physical properties of image acquisition. This process shows that the detection probability based KPIs are a helpful tool to link image quality to the tasks of the SAE classified supported and automated driving tasks. We develop questions around the challenges of the automotive image quality and show that especially color separation probability (CSP) and contrast detection probability (CDP) are a key enabler to improve the knowhow and overview of the image quality optimization problem. Next we int

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Amir, Malik Muhammad Haris, Salvatore Maresca, Gaurav Pandey, Antonio Malacarne, Antonella Bogoni, and Mirco Scaffardi. "Performance Evaluation of Photonics-Based Coherent MIMO Radar Systems for Maritime Surveillance." Inventions 8, no. 4 (2023): 99. http://dx.doi.org/10.3390/inventions8040099.

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Multiple-input multiple-output (MIMO) radars offer significant advantages over conventional standalone radars in terms of target detection and localization capabilities. However, to fully exploit their potential, such systems require excellent time and phase synchronization among the central unit and the radar heads. Only recently, thanks to microwave photonics (MWP) techniques, it has been possible to develop the first coherent MIMO radar demonstrators. In this paper, a simulation tool in MATLAB programming language is proposed to model coherent MIMO radars based on MWP techniques in maritime

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