Gotowe bibliografie tematyczne / Operational Analytics Business Excellence

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Gotowa bibliografia na temat „Operational Analytics Business Excellence”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Operational Analytics Business Excellence"

Priyanka, Singh*1 Rajesh Kumar Upadhyay2 &. Dr. Monika Srivastava3. "THE ROLE OF HR ANALYTICS IN HIGHER EDUCATION INSTITUTION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 92–100. https://doi.org/10.5281/zenodo.823015.

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The HR analytics has emerged as a new fad for the management leaders that captured the head line for business world news. This paper tries to figure out the theoretical and conceptual the framework of analytics in higher education intuitions. The objectives of the study are to understand the role of HR analytics for education institution in increasing the organizational effectiveness and efficiency. The research used exploratory research design. Further study came up with categorizing the data analytics of industry it into Academic Analytics, Operational Analytics and special reference is give

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Eka Novalia Pusparini and Agussalim Agussalim. "Literature Review: Data Management, Data Analytics, and Business Intelligence for Organization." Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi 2, no. 4 (2024): 133–42. http://dx.doi.org/10.61132/neptunus.v1i4.429.

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This study was conducted to examine the functions of data management, data analytics, and business intelligence across various organizational sectors. A literature review was performed to gain a broader understanding of the topic, utilizing research backgrounds from different countries, with ten studies selected for review from multiple sources. The results indicate that efficient data management, combined with robust analytical capabilities and business intelligence tools, is crucial for modern organizations seeking to achieve operational excellence and strategic growth. By implementing the a

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Likhit Verma. "Future trends of lean six sigma and process excellence in business operations." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 4233–43. https://doi.org/10.30574/wjarr.2025.26.2.2088.

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The evolution of Lean Six Sigma in the digital era represents a transformative shift in operational excellence paradigms across industries. This transition from traditional improvement methodologies to technology-enhanced frameworks has fundamentally altered how organizations identify inefficiencies, implement solutions, and sustain performance gains. The integration of artificial intelligence, hyperautomation, digital twins, and other emerging technologies with established Lean Six Sigma principles creates synergistic capabilities that transcend conventional process excellence limitations. Or

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Lohinova, Olha. "BUSINESS ANALYTICS AS A KEY COMPONENT OF THE DIGITAL TRANSFORMATION OF COMPANIES." Economies' Horizons, no. 2(31) (May 19, 2025): 83–91. https://doi.org/10.31499/2616-5236.2(31).2025.330124.

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This article explores the role of business analytics as a crucial component in the digital transformation of modern companies. It examines contemporary trends in the use of analytical tools to enhance decision-making, streamline business processes, and improve organizational competitiveness. The research highlights the strategic importance of business analytics in fostering data-driven decision-making and promoting sustainable growth in a digital economy. Various types of analytics-descriptive, diagnostic, predictive, and prescriptive-are discussed in the context of their application across ma

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Rodrigues, Nilima James. "Predictive Analytics and Artificial Intelligence: Advancing Business Analytics in the Medical Devices Industry." European Journal of Computer Science and Information Technology 13, no. 41 (2025): 75–90. https://doi.org/10.37745/ejcsit.2013/vol13n417590.

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Predictive analytics and artificial intelligence are transforming business processes across the medical device industry, enabling more sophisticated decision-making and operational excellence. This content explores key applications of these technologies across financial planning, demand forecasting, customer analytics, and supply chain management domains. The integration of advanced algorithms with domain-specific data streams allows medical device manufacturers to anticipate market shifts, optimize inventory positions, personalize customer engagement, and build resilient supply networks. Whil

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Govindaraja Babu Komarina and John Wesly Sajja. "The Transformative Role of SAP Business Technology Platform in Enterprise Data and Analytics: A Strategic Analysis." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 228–35. https://doi.org/10.32996/jcsts.2025.7.5.29.

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This article examines the transformative role of SAP Business Technology Platform (BTP) in revolutionizing enterprise data management and analytics capabilities. Through comprehensive analysis of implementation results across multiple organizations, the article demonstrates how BTP serves as a crucial integration layer that connects disparate data sources while enabling advanced analytics and artificial intelligence capabilities. The article explores four key aspects: BTP's unified data platform architecture, its integration capabilities and data management excellence, advanced analytics and i

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Parmar, Ahaan. "AI-DRIVEN DATA ANALYTICS FOR REAL-TIME DECISION-MAKING." IINTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND SCIENCE 5, no. 5 (2025): 372–86. https://doi.org/10.58257/IJPREMS40153.

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Artificial intelligence-powered data analytics functions as an indispensable transformational force that helps organizations obtain immediately useful information from large databases while responding rapidly to shifting market conditions across different business sectors. This research analyzes how artificial intelligence, when connected to data analytics, drives transformational development through analyses of real-time applications along with advantages and obstacles that exist in addition to future analytical patterns. Through their union, data analytics and artificial intelligence systems

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Zulkarnain, Andy, Ramzi Zainum Ikhsan, Nanda Septiani, and Victorianda. "Advancing Management Strategies with AI and IoT for Operational Excellence and Competitive Edge." APTISI Transactions on Management (ATM) 9, no. 1 (2025): 50–59. https://doi.org/10.33050/atm.v9i1.2396.

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As organizations face increasing competition and technological advancements, optimizing operations and managing resources efficiently is crucial for maintaining a competitive edge. The integration of emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) enhances efficiency, improves resource allocation, and drives growth. This study explores how AI and IoT adoption optimizes business processes, improves decision-making, and fosters a competitive advantage Using a quantitative approach, data from 200 executives in AI and IoT-implemented industries were analyze

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DANG QUOC, Huu. "Appling Power BI for improved retail business analytics and decision-making." Applied Computer Science 21, no. 2 (2025): 154–63. https://doi.org/10.35784/acs_7130.

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In the rapidly evolving retail industry, data-driven decision making is critical to maintaining competitive advantage and operational efficiency. This paper explores the diverse applications of Microsoft Power BI (MPBI) in retail, highlighting its impact on real-time data management, sales analysis, inventory optimization, customer insights, and supply chain performance. By synthesizing findings from recent studies and presenting empirical data from case studies, we demonstrate how Power BI's advanced analytics and visualization capabilities can transform raw data into actionable insights. Our

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Nyangoma, Daphine, Ejuma Martha Adaga, Ngodoo Joy Sam-Bulya, and Godwin Ozoemenam Achumie. "Operational Excellence in SMEs: A Conceptual Framework for Optimizing Logistics and Service Delivery Systems." Journal of Frontiers in Multidisciplinary Research 5, no. 1 (2024): 149–56. https://doi.org/10.54660/.ijfmr.2024.5.1.149-156.

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This paper explores the concept of operational excellence in Small and Medium-sized Enterprises (SMEs), focusing on optimizing logistics and service delivery systems. Operational excellence is crucial for SMEs to enhance efficiency, reduce costs, and improve customer satisfaction, which are all essential for their survival and growth in competitive markets. The study examines key frameworks like Lean Management, Six Sigma, and Total Quality Management (TQM), illustrating how they can be applied to streamline operations and improve service quality. The paper also emphasizes the role of key perf

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Rozprawy doktorskie na temat "Operational Analytics Business Excellence"

Coffey, Shonna (Shonna Marie). "Achieving business and operational excellence in the pharmaceutical industry." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43838.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.<br>Includes bibliographical references (p. 111-114).<br>Historically the pharmaceutical industry has been highly profitable. However, the increasing regulatory requirements, bargaining power of buyers, and drug failures together with the threat of biosimilars and decreasing R&D productivity are creating challenges for research driven pharmaceutical companies.

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Bryans, Robert. "Linking operational excellence to shareholder value : McDonald's as a case study." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/21214.

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Thesis (MBA)--Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: McDonald's is world renowned for the benchmark standards it sets in operations management. This is evidenced by the numerous references in operations management textbooks over the last 10-15 years. However, since 1999, McDonald's has not been able to link this operations excellence to creating shareholder value. In fact, the McDonald's share price has declined by 64 % over the last 4 years. In comparison, Wendy's (McDonald's biggest competition in the US fast food market) share price has increased by 2 % over the same peri

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Bergeson, Tara M. "Building operational excellence utilizing a code of ethics a qualitative case study /." Online version, 2008. http://www.uwstout.edu/lib/thesis/2008/2008bergesont.pdf.

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Marcolin, Carla Bonato. "Text analytics in business environments: a managerial and methodological approach." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2018. http://hdl.handle.net/10183/174130.

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O processo de tomada de decisão, em diferentes ambientes gerenciais, enfrenta um momento de mudança no contexto organizacional. Nesse sentido, Business Analytics pode ser visto como uma área que permite alavancar o valor dos dados, contendo ferramentas importantes para o processo de tomada de decisão. No entanto, a presença de dados em diferentes formatos representa um desafio. Nesse contexto de variabilidade, os dados de texto têm atraído a atenção das organizações, já que milhares de pessoas se expressam diariamente neste formato, em muitas aplicações e ferramentas disponíveis. Embora divers

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Bohle, Alexander, and Liam Johnson. "Supply Chain Analytics implications for designing Supply Chain Networks : Linking Descriptive Analytics to operational Supply Chain Analytics applications to derive strategic Supply Chain Network Decisions." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Centre of Logistics and Supply Chain Management (CeLS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44120.

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Today’s dynamic and increasingly competitive market had expanded complexities for global businesses pressuring companies to start leveraging on Big Data solutions in order to sustain the global competitions by becoming more data-driven in managing their supply chains.The main purpose of this study is twofold, 1) to explore the implications of applying analytics designing supply chain networks, 2) to investigate the link between operational and strategic management levels when making strategic decisions using Analytics.Qualitative methods have been applied for this study to gain a greater under

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Habryn, François [Verfasser], and G. [Akademischer Betreuer] Satzger. "Customer intimacy analytics : leveraging operational data to assess customer knowledge and relationships and to measure their business impact / Francois Habryn ; Betreuer: G. Satzger." Karlsruhe : KIT Scientific Publishing, 2012. http://d-nb.info/1184492972/34.

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Alexander, Dijo T. "Building Big Data Analytics as a Strategic Capability in Industrial Firms:Firm Level Capabilities and Project Level Practices." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1544006213410606.

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Matheis, Sebastian. "Preparation of a Class A certification in the field of pharmaceutical packaging through mapping and optimization of business processes and implementation of the Oliver Wight Class A Behaviors for Business Excellence." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227771.

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On the road to success, companies need to fulfil their stakeholders’ expectations. On the road to business excellence, companies need to exceed these expectations. Oliver Wight Inc. has established a certification called Class A Business, which shows that a company is exceeding stakeholders’ expectations and that it performs in the upper quartile in its respective industry. The Class A Business certification is awarded, once a company fulfils a certification checklist with Class A Business criteria. To get to this point, a company can design their road to business excellence by following a spe

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Stevens, Ana. "Options for developing a new mid micron value proposition for consumers." Lincoln University, 2007. http://hdl.handle.net/10182/364.

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The research for this thesis "Options for Developing a New Mid Micron Value Proposition for Consumers", is a part of a larger "New Mid Micron Products" project initiated by Mid Micron New Zealand Inc with the key goal of turning the Mid Micron Sector into a more vibrant and profitable one. The motivation for the project can be found in the dramatic fall in demand for New Zealand Mid Micron wool over the past decade. Two dominant causes for the fall in demand for Mid Micron wool were identified: the substandard skin comfort of final products made from Mid Micron wool, and a problem with the str

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Sarcinella, Matteo. "Digital spaces / Axians "customer brand engagement" project: operational business model." Master's thesis, 2021. http://hdl.handle.net/10362/123088.

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Driven by the rise of technology the physical world becomes increasingly connected to the digital world. As a result, vast amounts of data from sensorial measurements are available waiting to be fully utilized. The “Customer Brand Engagement” project of Axians, the field lab partner, aims to create a system for the measurement of engagement. Understanding the customer on the inside through data from the outside, will lead to a deeper customer knowledge, which enables forming long lasting and meaningful connections between customers and brands. The available

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Książki na temat "Operational Analytics Business Excellence"

Shore, Edwin B. Business reengineering: Fast track to operational excellence. Chantico Pub. Co., 1992.

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Wallace, Thomas F. Customer-driven strategy: Winning through operational excellence. Oliver Wight Publications, 1992.

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Matsatsinis, Nikolaos F., Fotis C. Kitsios, Michael A. Madas, and Maria I. Kamariotou, eds. Operational Research in the Era of Digital Transformation and Business Analytics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24294-6.

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Patrick, Beck, and Füger Erik, eds. The Supply Chain Differentiation Guide: A Roadmap to Operational Excellence. Springer Berlin Heidelberg, 2013.

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R, Tyndall Gene, ed. Supercharging supply chains: New ways to increase value through global operational excellence. Wiley, 1998.

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Cannon, J. Thomas. The entrepreneur's strategy guide: Ten keys for achieving marketplace leadership and operational excellence. Praeger, 2006.

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Martin, James W. Operational excellence: Using lean six sigma to translate customer value through global supply chains. Auerbach Publications, 2008.

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Duggan, Kevin J. Operational excellence in your office: A guide to achieving autonomous value stream flow with lean techniques. Taylor & Francis, 2016.

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International Conference on Optimization, Computing and Business Analytics (2012 Kolkata, India). Proceedings of the International Conference on Optimization, Computing, and Business Analytics (ICOCBA 2012): 45th Annual Convention of Operational Research Society of India at Techno India University, Salt Lake, Kolkata, India, December 20-22, 2012. Edited by Mukherjee, S. P. (Professor) , editor, Kanjilal Ananya editor, Sengupta Sabnam editor, and Operational Research Society of India. Allied publishers, 2012.

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Martin, James William. Operational Excellence. Taylor & Francis Group, 2007.

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Części książek na temat "Operational Analytics Business Excellence"

Martin, Peter G. "The Essential Evolution To Real-Time Business Operational Excellence." In Operational Excellence. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118990162.ch6.

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Starke, Valentin, and Joseph Kumor. "Abbott Pharmaceuticals Journey of Business Excellence Standards." In Leading Pharmaceutical Operational Excellence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35161-7_11.

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García Aranda, Jose Ramón, and Fausto Pedro García Márquez. "Use of Excellence Models as a Management Maturity Model (3M)." In Advanced Business Analytics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11415-6_8.

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Bose, Prasanta, Ravi Kiran Das, Kumar Ayush, Anuj Verma, Ashish Chopra, and Bharathesh Kumar. "Operational Excellence Through Advanced Analytics at Hindalco Muri." In The Minerals, Metals & Materials Series. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80676-6_5.

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Svoboda, Petr, and Jan Cerny. "EU Operational Program ‘Education for Competitiveness’ and Its Impact on Sustainable Development." In Analytics, Innovation, and Excellence-Driven Enterprise Sustainability. Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-37879-8_10.

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Bedi, Jatinder, R. K. Padhy, and Sidhartha S. Padhi. "Understanding the Industry 4.0 Revolution Using Twitter Analytics." In Industry 4.0 Technologies for Business Excellence. CRC Press, 2021. http://dx.doi.org/10.1201/9781003140474-1.

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Kumar, Uday, Ajit Kumar Verma, and Piyush Pratim Das. "Risk and Safety Analysis of Warships Operational Lifetime Defects." In Strategic System Assurance and Business Analytics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3647-2_4.

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Lüdeke-Freund, Florian, Birte Freudenreich, Stefan Schaltegger, Iolanda Saviuc, and Marten Stock. "Sustainability-Oriented Business Model Assessment—A Conceptual Foundation." In Analytics, Innovation, and Excellence-Driven Enterprise Sustainability. Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-37879-8_7.

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Herodotou, Herodotos. "Business Intelligence and Analytics: Big Systems for Big Data." In Analytics, Innovation, and Excellence-Driven Enterprise Sustainability. Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-37879-8_2.

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Pospiech, Marco, and Carsten Felden. "Business Analytics for Price Trend Forecasting through Textual Data." In Analytics, Innovation, and Excellence-Driven Enterprise Sustainability. Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-37879-8_3.

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Streszczenia konferencji na temat "Operational Analytics Business Excellence"

Tandon, Pankaj. "Corrosion Data Management with Operational Excellence." In CONFERENCE 2025. AMPP, 2025. https://doi.org/10.5006/c2025-00302.

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Abstract This session presents a flexible data analytics and insights model with risk assessment for pipeline corrosion management with improved safety, and operational efficiency. We present a case study with integration of As-built, pipeline and corrosion and cathodic protection data. The risk model is an informed overlay on data integration with twin benefits of instant customizability and risk management. AI backed software capability provides a framework for actionable risk, with customized data driven assessments, predictive scheduling of remediation, preventative and mitigation methods,

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P, Suraj, Prathiksha P. Shetty, Suhas B. E, and Pranav H. M. "Predictive Analytics and AI in Logistics: Driving Operational Excellence and Cost Reduction." In 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS). IEEE, 2024. https://doi.org/10.1109/csitss64042.2024.10817044.

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Chelliah, Balika J., Sarghi Kaur Gahra, A. Senthilselvi, and S. Senthil Pandi. "Smart Ports: Utilizing AI-Driven Predictive Analytics and Simulation for Operational Excellence." In 2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG). IEEE, 2024. https://doi.org/10.1109/icstsdg61998.2024.11026747.

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Sanaboina, Svsv Prasad, Josh Kumar J P, Zaid Ajzan Balassem, Anil Kumar Saxena, T. Mohanraj, and Gnanajeyaraman Rajaram. "Building Resilient Supply Chains with IoT and Advanced Analytics: A Path to Operational Excellence." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10956938.

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Srinivasan, Sridhar, Pierre Constantineau, and Kwei Meng Yap. "Improved Mechanical Integrity through Real-Time Process Monitoring and Predictive Analytics." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13286.

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Abstract Refinery operators face increasingly complex challenges in managing integrity of process units and assets – driven by the goal to achieve operational excellence and maximize asset performance while minimizing costs and maintaining the highest safety and environmental standards. Such challenges stem from multiple operational factors, including changing process feed, driven by opportunity crudes and throughput, need to work with more complex process dynamics and difficulties associated with correlating potential corrosion damage to process parameters across different refinery units in a

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Alghamdi, Abdulaziz S. "Utilizing IR4.0 Solutions to Transform a Conventional GOSP to an Intelligent GOSP (iGOSP)." In MPWT 2019. NACE International, 2019. https://doi.org/10.5006/mpwt19-15456.

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Abstract An iGOSP initiative ties multiple solutions together on a common wireless infrastructure, which allows systems to interact in such a way that they create new features, capabilities, automation and monitoring. The result is a facility that has unique efficiencies, maximum return on asset and delivers unparalleled value, visibility, predictability and adaptability. NGPD selected Abqaiq GOSP-3 to pilot the concept of an intelligent GOSP (iGOSP). Abqaiq GOSP-3 is one of the oldest facilities in NGPD; which was commissioned in 1978. The plant’s rack room has gone through several upgrade pr

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Chen, Lu, Juntao Yan, Jie Liu, et al. "Operational Excellence in Deep Shale Gas Basins Through Business Analytics Tool." In SPE/IADC Asia Pacific Drilling Technology Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/219676-ms.

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Abstract In the pursuit of improved drilling performance, oil and gas companies are turning to data analytics as an asset. This paper presents an exemplary case of employing a business intelligence (BI) tool to analyze drilling data within deep shale gas blocks in Sichuan and Chongqing, China. By leveraging the capabilities of the BI tool, operational decisions were enhanced through the generation of visual reports. The analysis focused on a comprehensive database housing extensive historical drilling data, allowing for a deeper understanding of drilling performance and the prediction of avera

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Nordin, Nadirah, Yushafidi Yusof, Arie Pratiwi Syahriful, and M. Zainuri Bawan. "Driving Operation Excellence: Shaping Operational Excellence through Competence Maintenance & Engineering Technical Executives for Superior Asset Integrity." In APOGCE 2024. SPE, 2024. http://dx.doi.org/10.2118/221269-ms.

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Abstract This manuscript explores the pivotal role of Maintenance & Engineering technical executives (M&E executives) in driving operational excellence and ensuring superior asset integrity within PETRONAS Upstream. It delves into the comprehensive competency requirements for these executives, emphasising the necessity of both technical skills and soft skills to lead teams effectively. In PETRONAS Upstream, M&E executives are crucial in orchestrating and executing strategies that enhance operations efficiency and improve asset performance in both oil and gas installation at onshore

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Bešić, Cariša, Dragan Ćoćkalo, Srđan Bogetić, Mihalj Bakator, and Miloš Vorkapić. "SOCIETY 5.0 AND QUALITY 5.0: SYNERGIES FOR BUSINESS EXCELLENCE AND COMPETITIVENESS." In XX International Convention on Quality JUSK ICQ 2024. United Association of Serbia for Quality, 2024. http://dx.doi.org/10.46793/jusk-icqxx.009b.

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This paper explores the synergistic relationship between Society 5.0 and Quality 5.0, and their combined impact on enhancing business excellence and competitiveness in the modern era. Society 5.0, a concept originating in Japan, represents a vision for a human-centered society that balances economic advancement with the resolution of social problems through a system integrated with digital technology. Quality 5.0, a contemporary evolution in quality management, extends beyond operational excellence to include customer-centricity, sustainability, and the innovative use of emerging technologies.

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Shekaili, M., I. Balushi, N. Kumar, and E. Marin. "Improved Operational Excellence in Oil and Gas Production Management Through New Well Management System." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216073-ms.

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Abstract Petroleum Development Oman (PDO) has been managing well operation and optimization using Well Management System (WMS) integrated with real time digital twins since last 10 years. Increasing operational requirements, demand of better user experience and security concerns because legacy WMS reaching its end-of-life steered management to upgrade WMS to NextGen system. The scope was to upgrade WMS in 9 assets of PDO and 2 third party operators’ assets while ensuring smooth transition from legacy system. NextGen WMS is the enabler for integrating industry 4.0 technologies in daily well ope

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Raporty organizacyjne na temat "Operational Analytics Business Excellence"

LaRaine Ingram, Keisha. Applied Sales Predictive Analytics for Business Development. Vilnius Business College, 2024. http://dx.doi.org/10.57005/ab.2024.1.2.

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In the dynamic business environment, leveraging predictive analytics for sales optimization and business development has become crucial for achieving sustained growth. As the e-commerce landscape continues to evolve, many e-businesses must harness the power of predictive analytics to anticipate sales trends and optimize business development strategies. This paper explores the application of sales predictive analytics, focusing on its role in forecasting sales, optimizing resource allocation, and enhancing customer relationship management. The application of predictive analytics in sales foreca

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Ke, Jian-yu, Fynnwin Prager, Jose Martinez, and Chris Cagle. Achieving Excellence for California’s Freight System: Developing Competitiveness and Performance Metrics; Incorporating Sustainability, Resilience, and Workforce Development. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2023.

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This study explores the question of whether California's freight system is staying competitive with other US regions. A novel analytical framework compares supply chain performance metrics across multiple US states and regions for seaports, airports, highways, freight rail service, and distribution centers by combining the Performance Evaluation Matrix (PEM), Competitive Position Matrix (CPM), and Business Process Management (BPM) approaches. Analysis of industry data and responses from structured interviews with 30 freight industry experts across 5 transportation sectors suggests that Califor

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Zhao, Yao. Operations, Finance, and Stock Market Performance (Free Seminar). Instats Inc., 2024. http://dx.doi.org/10.61700/v5ah6f65g6w1r1620.

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This seminar explores the interplay between operations, finance, and stock market performance. Participants will gain quantitative insights into how operational decisions impact financial outcomes and subsequently stock market movements, utilizing vast and free business and financial databases like SCDATA.AI for sophisticated data analysis and predictive analytics, and using recent examples like Amazon, Intel, Boeing and Tesla.

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Rihm, Alfredo, Carolina Piamonte, Eduardo Antonio Restrepo Lagos, Magda Correal, and Paula Gabriela Guerra Morán. Digital Transformation of Solid Waste Management: Waste Collection Innovation, Business Intelligence, and Digital Technologies to Transition Waste Management Towards Circularity in Latin America and the Caribbean. Edited by Claudia M. Pasquetti. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013169.

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If you are interested in technology and innovation, and have been wondering what are the new trends in technological and digital innovation in the solid waste sector in Latin America and the Caribbean, this publication is for you! The transition to the circular economy, climate action, the fourth industrial revolution bring new challenges to operators in the sector. Key challenges highlighted include the need for robust data and the digitization of waste management systems to meet the objectives of the circular economy. The text details the efforts of organizations such as the IDB to develop d

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Collins, Kimberly, Raffi Der Wartanian, Francisca Beer, and Yunfei Hou. Moving Towards the Electrification of Medium- and Heavy-Duty Vehicles in the Inland Empire. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2305.1.

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This report investigates the transition to zero-emission medium- and heavy-duty vehicles (MDHD) within California’s Inland Empire (IE), emphasizing the significance of electric vehicle charging infrastructure and opportunity charging strategies in facilitating sustainable transportation. Utilizing a mixed-methods approach that combines a systematic literature review, geospatial and big data analytics, and thematic analysis of expert interviews, the study explores the multifaceted challenges and opportunities of electrification. The literature review assesses policies at various governance leve

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