Relevant bibliographies by topics / KPIs optimization

Contents

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

Academic literature on the topic 'KPIs optimization'

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

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Journal articles on the topic "KPIs optimization"

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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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Dissertations / Theses on the topic "KPIs optimization"

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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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Skocaj, Marco. "An Inter-Frequency Handover Optimization Algorithm for LTE Networks – Design and Test." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The proposed thesis work tackles an optimization procedure for inter-frequency handover in LTE networks. In order to do that, a two steps algorithm based on local KPIs observation was designed and is therefore presented in detail. The algorithm consists of a two step procedure, comprising a numerical processing of the observed KPIs and a monitoring phase in order to balance and limit possible negative effects such as ping-pong handovers, outage conditions or reduced end-user throughput. The algorithm was validated with a tests campaign performed on a real network infrastructure over the mon
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Vasquez, Coronado Pedro Pablo. "Optimization of the Haulage Cycle Model for Open Pit Mining Using a Discrete-Event Simulator and a Context-Based Alert System." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/321594.

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The loading cycle in an Open Pit mine is a critical stage in the production process that needs to be controlled in detail for performance optimization. A comprehensive Alert System designed to notify supervisors of cycle times that are below the required performance standards is proposed. The system gives an alert message when one or several trucks are idle or the time of completing production tasks are over a predefined value. This alert is identified by the system and compared with pre-established Key Performance Indicators (KPIs) in order to determine corrective actions. The goal is to dete
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Carvalho, Bruno Miguel Machado. "Forecasting techniques: application to cellular networks." Master's thesis, 2018. http://hdl.handle.net/10773/28303.

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Due to the growing competitiveness and aggressiveness of the market, the network operators’ strategy is increasingly based on improving infrastructures and optimizing existing resources, in a way that provides the best experience to the user. To do this, the operator analyzes the Key Performance Indicators (KPIs) and uses forecasting methods to predict and plan the modifications needed in the network. With this as basis, this work focuses on the study and analysis of different forecasting methods and their implementation in Python, so that the operator can obtain automate real-time predictio
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Василевич, Д. А., та D. A. Vasilevich. "Моделирование системы оценки функциональности компонентов для повышения эффективности межструктурных коммуникаций : магистерская диссертация". Master's thesis, 2019. http://hdl.handle.net/10995/77671.

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As a part of this study a solution is being developed to evaluate the effectiveness of the components of the MES system. The bottom line is to assess the degree of use of standard functionalities (taking into account their weight ratio) as compared to design modifications for different projects. Analysis of the data provided to the user allows making clear, based on real indicators conclusions about the effectiveness of each component (or module) of the system, allowing to highlight the weak points of the system and determine the trajectory of the further development of each component and the
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Book chapters on the topic "KPIs optimization"

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Ali, Majid Khan Majahar, Sani Rabiu, and Mohd Tahir Ismail. "Inventory Metrics and KPIs." In Analytical Inventory Management and Optimization. CRC Press, 2025. https://doi.org/10.1201/9781003534860-8.

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Morri, Nabil, Sameh Hadouaj, and Lamjed Ben Said. "Toward Real-Time Multi-objective Optimization for Bus Service KPIs." In Informatics in Control, Automation and Robotics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26474-0_2.

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Stroe, Ion-Sorin. "Proposed KPIs for Optimization and Value Determination of an e-Business." In Soft Computing Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18416-6_86.

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Schlosser, Alexander, Peter Schuderer, and Jörg Franke. "Sustainability Assessment and Optimization in Construction Site: A Simulation-Based Approach." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93891-7_10.

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Abstract The construction industry is currently facing significant challenges. In order to address these challenges, the REMUS simulation model library for the construction industry is being developed. To this end, the physical modules are divided into stationary and mobile modules, as well as information objects. To create the simulation model and conduct the simulation experiment, a requirements cluster with the most important parameters of construction sites is created. The elements of sustainability—environmental, economy, and social aspects—are employed to assess the simulation results an
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Chiesa, Giacomo, Francesca Fasano, and Paolo Grasso. "Simulated Versus Monitored Building Behaviours: Sample Demo Applications of a Perfomance Gap Detection Tool in a Northern Italian Climate." In Innovative Renewable Energy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15218-4_6.

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AbstractGreen building technologies and design-correlated choices may significantly contribute to supporting the transition toward net energy flows in the built environment. Nevertheless, large discrepancies are underlined between standard simulated and monitored building behaviours requiring approaches able to simply correlate real building behaviours and simulated ones to further support coherent certification and/or optimization. The paper focusses on the application of a semi-automatic methodology to compare and evaluate thermal behaviours of buildings considering monitored and simulated d
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Winkler, Heiner, Susanne Franke, Felix Franke, Iren Jabs, Daniel Fischer, and Matthias Thürer. "Systems Thinking Approach for Production Process Optimization Based on KPI Interdependencies." In IFIP Advances in Information and Communication Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43670-3_46.

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Lai, Manuel, and Simona Tusacciu. "Analysis of Production Scenario and KPI Calculation: Monitoring and Optimization Logics of White’R Island." In Advances in Neural Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33747-0_47.

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Elzain, Abeer Mohamed, Khalid Hamid Bilal, Zeinab Mahmoud Omer, Rabie A. Ramadan, Sallam O. F. Khairy, and Elmustafa Sayed Ali. "4G Mobile Innovation Services KPI Optimization Based on Customer Satisfaction Using Random Forest Regression." In Sustainable Economy and Ecotechnology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-92942-7_37.

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Sabarmathi, G., and Meenakshi Neeharika Mangipudi. "Healthcare Performance Optimization." In Synergizing Data Envelopment Analysis and Machine Learning for Performance Optimization in Healthcare. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0081-8.ch017.

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Healthcare systems worldwide are in huge pressure to enhance their performances for the rising demands to manage quality care, costs, and resource utilization efficiently. This research focuses on exploring Healthcare Performance Optimization. Specifically, it deals with efficiency in operations, patients, and resources. Strategic alignment is achieved through appropriate use of Key Performance Indicators (KPIs) in healthcare institutions. It's, therefore, an emerging approach integrating DEA and ML that helps address inefficiencies, predict outcomes, and create an opportunity for continuous i
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Verma, Amitabh. "Conversion Optimization." In Marketing in a Digital World: Strategies, Evolution and Global Impact. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815305456125010013.

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The chapter “Conversion Optimization” delves into the process of enhancing a website to boost the likelihood of visitors completing desired actions, such as purchases, form submissions, or newsletter signups. It begins by defining various types of conversions including e-commerce transactions, lead generation, user registrations, and social media engagement, emphasizing the need to understand these conversions for effective optimization. Key Performance Indicators (KPIs) are introduced as essential metrics in assessing conversion success. These include conversion rates, click-through rates (CT
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Conference papers on the topic "KPIs optimization"

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Zhu, Mengjia, Oliver Pennington, Sam Kay, Amin Zarei, Michael Short, and Dongda Zhang. "Optimization-based operational space design for effective bioprocess performance under uncertainty." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.131628.

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Maintaining consistent product quality and yield in bioprocess operations is challenging due to uncertainties inherent in biological systems. Thus, robust strategies are essential to ensure key performance indicators (KPIs), such as product concentration and yield, are consistently met despite the uncertainties. Real-time feedback co Interntrol, though widely used, is often impractical due to its reliance on expensive sensors, rapid data processing, and high-speed control actions. This paper proposes a novel approach to address these challenges by identifying the operational space for control
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Aku, Michael, Solomon Gajere Bawa, Arun Pankajakshan, Lauren Ye Seol Lee, and Federico Galvanin. "Optimizing Methane Conversion in a Flow Reactor System Using Bayesian Optimization and Model-Based Design of Experiments Approaches: A Comparative Study." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.148204.

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Reaction processes require optimization to enhance key performance indicators (KPIs) such as yield, conversion, and selectivity. Techniques like Bayesian Optimization (BO), Model-Based Design of Experiments (MBDoE), and Goal-Oriented Optimal Experimental Design (GOOED) play pivotal roles in achieving these objectives. BO efficiently explores the design space to identify optimal conditions, while MBDoE maximizes the information gain by reducing kinetic model uncertainty. In contrast, GOOED focuses solely on maximizing the KPIs without considering the system uncertainty, identifying reactor cond
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Fernandez, Monica, Ashraf Al Hinai, Mohammed Mawali, Fadi Masri Zada, and Nasser Al Behlani. "Importance of Corrosion Monitoring to Ensure Effective Corrosion Management of Carbon Steel Pipelines." In CORROSION 2020. NACE International, 2020. https://doi.org/10.5006/c2020-15083.

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Abstract A Corrosion Management Framework is established to identify threats and define barriers during normal operation, shutdown and start up scenarios. It also provides basis for monitoring and inspection plans, KPIs to assess the barriers in place against the identified corrosion threats and help identify non-compliance to control and mitigate related risks. There are other mitigations done during construction to avoid premature failure, such as chemical treatment of water used in hydrotesting and nitrogen preservation. Learning from previous incidents can help future projects improve to a
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Al-Ghamdi, A/Rahman, Hamad Al-Ajmi, Tariq Kamshad, Bakheet Al-Yami, Mohamed M. Farah, and Hossam Mesbah. "Chemical & Enhanced Preservation Methodologies to Maintain the Integrity of Joint Operation (JO) Surface Facilities." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-18792.

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Abstract The abrupt shutdown of the Wafra Joint Operations (WJO) production facilities led to a deviation from normal shutdown standard operating procedures such as draining and purging of the corrosive production fluids. Consequently, the ensuing deterioration, as a result of corrosion and other associated damage mechanisms, is bound to increase the integrity threats to JO equipment and therefore, negatively impact the restart of operation. The main anticipated damage mechanisms such as microbiologically influenced corrosion (MIC) and under deposit corrosion (UDC) are likely to manifest in th
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Fernando, N., P. C. Abeysiriwardana, and U. K. Jayasinghe-Mudalige. "Expected Role and Current Status of Use of Key Performance Indicators by Export-Oriented Firms in the Plantation Sector of Sri Lanka." In 5th International Conference on Agriculture, Food Security and Food Safety. iConferences (Pvt) Ltd, 2025. https://doi.org/10.32789/agrofood.2024.4106.

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Abstract: Key Performance Indicators (KPIs) are critical tools for aligning organizational performance with strategic objectives, particularly for export-oriented firms in the plantation sector. This study examines the role and current state of KPIs in enhancing performance within the industry, focusing on how firms institutionalize these metrics to measure and guide their success. Semi-structured interviews (n = 10) with managers from export-oriented firms provided insights into KPI challenges and opportunities. Thematic analysis using MAXQDA software revealed five key themes: barriers to KPI
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Furtado, C. J. A., G. G. Lage, G. R. V. A. da Fonseca, and A. A. R. Patrício. "Water Injection Optimization Based on Operational KPIs." In SPE Water Lifecycle Management Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/219062-ms.

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Waterflood is one of the main techniques to improve the oil recovery. Besides displacing and producing incremental oil, water injection helps to maintain the reservoir pressure close to its original value, keeping productivity in a high level. In offshore fields, seawater is fully available although it needs to have several quality controls to avoid undesirable consequences. Others water sources can be used such as aquifers or produced water, each of which with its specific needs in terms of quality [Chappel, 2020]. In the last decades, injection water process treatment is including more advan
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Morri, Nabil, Sameh Hadouaj, and Lamjed Ben Said. "Agent-based Intelligent KPIs Optimization of Public Transit Control System." In 18th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010616302240231.

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Morri, Nabil, Sameh Hadouaj, and Lamjed Ben Said. "Agent-based Intelligent KPIs Optimization of Public Transit Control System." In 18th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010616300002994.

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Sheraz, A., S. Khan, N. Abdelhamid, and A. Manzoor. "Application of Machine Learning for Comprehensive Predictive Modelling of Drilling Key Performance Indicators Using Historical Drilling Data – Collaborative Case Study between Academia and Industry." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/225014-ms.

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Abstract This paper presents the development of machine learning model to predict key performance indicators (KPIs) in oil and gas Well drilling, including Dry Hole Drilling Days (DHDD), Dry Hole Drilling Cost (DHDC), and Clean Time (CT). It explores diverse input variables to improve accuracy and reliability of these KPI predictions. This paper employs a collaborative approach between academia and industry to develop machine learning models for KPI prediction using CRISP-DM (Cross Industry Standard Process for Data Mining) methodology. Methodology involves compiling and preparing the historic
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Celebic, Boban, and Ruth Breu. "Using Green KPIs for Large IT Infrastructures' Energy and Cost Optimization." In 2015 3rd International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2015. http://dx.doi.org/10.1109/ficloud.2015.86.

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Reports on the topic "KPIs optimization"

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Allen, Cody, and Ivan Carlos. PR283-22205-R01 Field Validation of a Total Emissions Efficiency Factor. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000138.

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Continued interest in emissions factors and operational optimization have led to a combined fac-tor, called the Total Emissions Efficiency (TEE) Score. The TEE Score considers dry low emis-sions operation, power to fuel relationships and compressor recycle, distilled into a single Key Performance Indicator (KPI). The TEE score can be used along a pipeline to help gas control and gas planning groups identify non-efficient emissions operation of a unit or station. This PRCI study has deployed the TEE Score to a section of Kinder Morgan's Natural Gas pipe-line and created a visual dashboard for t
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