Littérature scientifique sur le sujet « Digital Transformation. Technological Innovation. Logistics Optimization »
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Articles de revues sur le sujet "Digital Transformation. Technological Innovation. Logistics Optimization"
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Li, Shuyuan. "Research on the Innovation of Logistics System of E-commerce --Taking JD Logistics as an Example." Advances in Economics, Management and Political Sciences 79, no. 1 (2024): 175–81. http://dx.doi.org/10.54254/2754-1169/79/20241809.
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As a core component of e-commerce platforms, the efficiency and innovation ability of the logistics system is crucial to the enterprise's success. With the rapid development of e-commerce and the intensified competition in the global market, digital transformation, as a major trend in the current business environment, provides opportunities for the optimization and innovation of logistics systems. However, the digital transformation of small and medium-sized enterprises (SMEs) is still in the exploratory stage, and the transformation is difficult. Based on the case study method, this paper aims to study the technical achievements of JD Logistics in terms of digital transformation. It connects with the current situation of digital transformation of small and medium-sized enterprises to explore how the digital innovation of JD Logistics is inspiring to small and medium-sized enterprises. Through literature analysis and data integration, the successful experience of JD Logistics' digital transformation concepts and automation technology can be used in the development of warehousing and logistics technology for small and medium-sized enterprises., The successful experience helps small and medium-sized enterprises to solve the technological constraints in warehousing and leads to the development of the economy.
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Setiadi and Husni Muharam. "Logistics Innovation in Developing Economies: Integrating Digital Solutions in E-Commerce Supply Chains." Sinergi International Journal of Logistics 2, no. 4 (2024): 239–51. https://doi.org/10.61194/sijl.v2i4.733.
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The rapid expansion of e-commerce has created new challenges and opportunities for logistics systems in emerging markets. This study presents a narrative review exploring how logistics strategies have adapted to these shifts, with a focus on technological integration, collaboration models, financing mechanisms, and regulatory environments. Literature was gathered from Scopus and Google Scholar using targeted keywords related to e-commerce logistics and emerging markets. Inclusion criteria prioritized peer-reviewed articles from 2010 onward that addressed the intersection of logistics, digital technologies, and developing country contexts. Findings show that collaboration between e-commerce platforms and third-party logistics providers enhances operational efficiency, particularly through resource sharing and system integration. Technologies such as artificial intelligence, Internet of Things, and big data are instrumental in real-time route optimization and supply chain responsiveness. Financing models, particularly platform-based investments, have enabled digital upgrades and capacity expansion among logistics providers. Cross-border logistics adaptation and consumer-centric delivery services also emerged as key themes. However, systemic barriers including infrastructural deficits and regulatory fragmentation continue to hinder progress. The review underscores the importance of policy support and integrated technological adoption in enabling sustainable logistics transformation. It concludes by calling for future research on localized consumer dynamics, long-term impacts of digitalization, and inclusive financial frameworks to address existing gaps and strengthen the global competitiveness of e-commerce in emerging economi.
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Duan, Zeqi. "Research on the Supply Chain Optimization Approach of JD's Transformation into a Digital Ecosystem Retailer." Advances in Economics, Management and Political Sciences 138, no. 1 (2024): 22–27. https://doi.org/10.54254/2754-1169/2024.18798.
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With the rapid development of global e-commerce, digital retailing has become an emerging trend, forcing companies to continuously adjust and optimise their supply chain strategies to enhance market competitiveness. This essay will focus on analysing the supply chain optimisation strategies of Jingdong, a leading technology-driven e-commerce platform in China, during its transformation from a traditional e-commerce to a digital eco-retailer. The study focuses on JD's data quality and management issues supply chain innovation, and model adaptation issues. Through case studies on technological innovation, logistics expansion, and ecosystems, it is found that JD has achieved significant results in matching supply and demand and logistics efficiency. The results of the study show that JD has successfully constructed a highly flexible and responsive supply chain system through comprehensive data analysis and systematic integration of intelligent technologies, and this transformation has not only enabled JD to stand out in the highly competitive market but also provided a successful case for promoting the digital transformation of the whole industry. The significance of this paper is to analyse JD's supply chain optimisation strategy to provide a reference case for academia and corporate practice.
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Santos, Daiane. "Port Digital Transformation: Implementation of Disruptive Technologies for Logistics Optimization in Rio de Janeiro Terminals." Archives of Business Research 13, no. 04 (2025): 114–29. https://doi.org/10.14738/abr.1304.18684.
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Maritime trade in the State of Rio de Janeiro constitutes a pillar of the local economy. The state features four main ports: Angra dos Reis, Itaguaí, Niterói, and the port of Rio de Janeiro. The latter stands out for its versatility, handling a wide range of cargo such as grains, oil, containers, chemical products, and general cargo. Introducing blockchain technology in Rio de Janeiro's port operations offers an opportunity to improve the region's Export and Import processes, similar to the Port of Tianjin in China. This technological innovation can enhance port procedure transparency, security, and efficiency. This article focuses on blockchain's ability to restructure cost allocation and significantly reduce time spent on logistical and administrative activities, thus promoting more effective and competitive port operations. The adoption of blockchain technology at the Port of Rio de Janeiro represents a strategic step to modernize port operations and expand its competitiveness in the current global scenario. Its benefits include substantially reducing operational costs and waiting times, greater transparency and traceability in transactions, and strengthened security and regulatory compliance. By incorporating these innovations, the Port of Rio de Janeiro positions itself to meet the dynamic demands of international trade, developing a more efficient, reliable, and sustainable logistics ecosystem, aligning with practices adopted by global port powers.
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ПОКОТИЛОВА, Валентина, Алла ПАШКОВА та Валентина ШАПОВАЛОВА. "МЕТОДИЧНІ ПІДХОДИ ДО РОЗРОБКИ МЕХАНІЗМІВ ІННОВАЦІЙНОГО РОЗВИТКУ МАРКЕТИНГОВИХ СИСТЕМ ПІДПРИЄМСТВ ФАРМАЦЕВТИЧНОЇ ГАЛУЗІ". Herald of Khmelnytskyi National University. Economic sciences 342, № 3(2) (2025): 267–73. https://doi.org/10.31891/2307-5740-2025-342-3(2)-41.
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The article reveals methodological approaches to the formation of mechanisms for the innovative development of marketing systems in pharmaceutical enterprises. It is established that the innovative orientation of pharmaceutical marketing is driven by the high dynamics of scientific and technological progress, the evolution of the regulatory framework, and changes in consumer behavior models. It is found that marketing activities in the pharmaceutical sector should be integrated into the overall innovation development system with a focus on product, technological, and service innovations. The role of flexible manufacturing technologies in ensuring product individualization according to the target audience's needs is emphasized. It is stated that the transformation of sales policy is due to the spread of digital technologies, which contribute to logistics optimization and strengthening interaction with end consumers. The prospect of creating integrated digital platforms that combine online ordering, telemedicine, and logistics support functions is outlined. The relevance of a personalized approach in enterprise communication policy aimed at individualized informational support is noted. The growing role of digital communication channels, content marketing, mobile applications, and social networks in building effective communications is explained. The necessity of forming a comprehensive system of innovative communications ensuring synergy of knowledge, trust, and commercial efficiency among manufacturers, medical professionals, and consumers is substantiated. It is emphasized that the marketing subsystem of the innovation development mechanism includes analytical, strategic, and tactical tools. The need to integrate marketing analytics with big data technologies, artificial intelligence, and predictive modeling is outlined. The importance of developing a system of marketing efficiency criteria considering market dynamics, digital transformation, and customer loyalty level is stated. It is determined that competitive advantages can be achieved through the use of personalized strategies, AI analytics, and educational platforms for consumers and medical professionals. Examples of such tools are given, including Doktor.se, MyHealthTeams, Pfizer, and Johnson & Johnson initiatives. The importance of ethical marketing standards as a factor in maintaining brand trust is noted. The need for a balance between innovation, efficiency, and social responsibility in the context of post-pandemic market transformation is emphasized.
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A, DHANUSHAA. "AI Integration in Supply Chain Management: Challenges and Opportunities." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45710.
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ABSTRACT The alignment of Supply Chain Management (SCM) with Artificial Intelligence (AI) is a revolutionary transition with profound implications for contemporary business organizations. This article critically analyzes the strategic dilemmas and new opportunities that come with the adoption of AI in SCM. Based on a comprehensive review of scholarly research and practice, it discusses some of the key hurdles like data integration challenges, technological adoption barriers, and organizational preparedness. At the same time, the research examines the capabilities of AI to improve supply chain performance by optimizing demand forecasting, inventory management, and logistics. It also evaluates the wider influence of AI on supply chain stakeholders such as suppliers, manufacturers, distributors, and customers, emphasizing the interdependence of digital transformation along the value chain. Through the integration of theoretical models and real-world wisdom, this research provides actionable recommendations to organizations with a desire to use AI in driving supply chain efficiency and competitive advantage. The results contribute towards a better insight into the use of AI to transform SCM and suggest avenues towards successfully overcoming challenges of implementation and maximizing innovation-based opportunities. Keywords: Artificial Intelligence (AI), Supply Chain Management (SCM), Data Integration, Technology Adoption, Organizational Readiness, Demand Forecasting, Inventory Optimization, Logistics, Stakeholder Impact, Strategic Transformation, Digital Supply Chain, Business Innovation.
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Mark, Karelov. "The Future of Smart Warehousing: From Barcoding to Drone Integration." American Journal of Engineering and Technology 07, no. 04 (2025): 119–24. https://doi.org/10.37547/tajet/volume07issue04-16.
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The rapid expansion of e-commerce and the growing demand for faster delivery have significantly reshaped the role of warehouse logistics in modern business. Traditional warehouse management methods are no longer sufficient to handle the rising volume of goods, underscoring the urgent need for innovative technological solutions. This study focuses on the evolution of smart warehousing—from basic barcoding systems to sophisticated technologies involving robotics, drones, and artificial intelligence. A noticeable gap remains in the academic literature between theoretical research on warehouse optimization and its practical applications. While many publications emphasize technical advancements, they often overlook the economic and social implications of automation. Moreover, there is a lack of interdisciplinary research that bridges technological innovation with the transformation of business models and the evolution of labor relations. This article analyzes key technological trajectories and demonstrates how the integration of digital twins, predictive analytics, and autonomous robotics not only enhances operational performance but also fundamentally redefines warehouse management practices. The insights presented are relevant for logistics company executives, technology developers, infrastructure investors, and supply chain management researchers.
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Oyeyemi, Babatunde Bamidele, Akinbani Toluwanimi, and Mosopeoluwa Awodola. "A model for AI Integration in Supply Chain Optimization: Case of the United States and Nigeria." Journal of Frontiers in Multidisciplinary Research 4, no. 1 (2023): 228–39. https://doi.org/10.54660/.ijfmr.2023.4.1.228-239.
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The integration of Artificial Intelligence (AI) in supply chain management has emerged as a transformative strategy to enhance efficiency, resilience, and adaptability in complex global logistics networks. This proposes a comprehensive model for AI integration in supply chain optimization, drawing comparative insights from the United States and Nigeria two economies with contrasting technological infrastructures, regulatory frameworks, and economic dynamics. The model emphasizes a multi-tiered approach incorporating predictive analytics, real-time decision-making, and intelligent automation. In the U.S., AI adoption is characterized by advanced infrastructure, data availability, and investment in digital transformation, enabling real-time inventory management, demand forecasting, and autonomous logistics. Conversely, Nigeria presents a context of infrastructural challenges and data limitations, yet exhibits increasing potential for AI-driven solutions through mobile technology, cloud computing, and emerging policy support. The proposed model comprises four core pillars: (1) AI-readiness assessment focusing on digital infrastructure and data maturity; (2) phased AI adoption strategy tailored to sector-specific needs; (3) stakeholder collaboration for technological transfer and capacity building; and (4) policy alignment to foster ethical AI use and cross-border interoperability. Through comparative analysis, the model identifies key enablers and barriers within each country, highlighting opportunities for technology leapfrogging in Nigeria and continuous innovation in the U.S. This argues that while the scale and mode of AI integration may differ, the strategic alignment of technology, talent, and governance is essential for effective supply chain optimization in both regions. This research contributes to the discourse on inclusive AI deployment by illustrating how adaptable frameworks can bridge technological disparities and drive supply chain resilience. Ultimately, it underscores the importance of localized strategies within a global model, fostering both economic growth and digital equity. The findings serve as a guide for policymakers, industry leaders, and technology developers seeking to harmonize AI integration across diverse socio-economic contexts.
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Melnyk, Oleksiy, Oleg Onishchenko, Oleksii Fomin, et al. "Smart Port Concept: A Case Study of Port-Integrated Autonomous Networks." Journal of Maritime Research 22, no. 1 (2025): 315–23. https://doi.org/10.5281/zenodo.15309352.
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The article explores the concept of a Port-Integrated Autonomous Network (PIAN) as a systemic model of the digital transformation of seaports in the context of innovative technologies. The PIAN combines autonomous port operations, distributed artificial intelligence, global blockchain document management, predictive analytics tools, and sustainable ecosystems. The article presents several mathematical models - phase implementation (PRM), stakeholder collaboration (SCM), and continuous innovation (CIM) - that allow for the optimization of efficiency, reduction of risks, and consideration of communication costs. The author identifies key technological components of smart ports, including autonomous equipment, digital platforms, sensor infrastructure, predictive maintenance, and intelligent traffic management systems. Special attention is paid to the legal aspects of implementation, particularly challenges in cybersecurity and regulatory compliance (GDPR, etc.). Based on the analytical model, a roadmap for the gradual introduction of technologies in ports with different readiness levels is proposed, allowing PIAN to be adapted to the specifics of local conditions. The article forms a theoretical and methodological basis for port administrations and logistics operators seeking to improve port infrastructure’s efficiency, flexibility, and sustainability in the maritime industry’s digital transformation context.
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Fastovich, Vladimir Vladimirovich. "The impact of artificial intelligence on improving management efficiency in the oil and gas industry." Финансы и управление, no. 2 (February 2025): 157–73. https://doi.org/10.25136/2409-7802.2025.2.74575.
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This article explores the influence of artificial intelligence on enhancing management efficiency in the oil and gas industry. The authors analyze the impact of artificial intelligence (AI) on improving efficiency in the oil and gas sector, including the optimization of exploration, extraction, logistics, and environmental safety; market size; long-term trends in application areas, etc., highlighting key technological solutions. These include data analysis automation, risk prediction, and integration of IoT platforms. Based on the conducted research, it is proposed to expand the use of artificial intelligence to enhance the efficiency of the oil and gas industry through the implementation of hybrid machine learning algorithms, strengthening inter-industry collaboration, and developing digital security standards. Special attention is given to the role of AI in reducing carbon footprint and adapting to global climate initiatives. Machine learning methods, big data analysis, and case studies of leading companies (Schlumberger, ExxonMobil, SIBUR) were utilized. Statistical models were applied to assess the reduction of production costs (by up to 40%) and increase the accuracy of geophysical exploration. Data were obtained from industry reports, patent databases, and software solutions. AI is used to digitize production records and automatically analyze geological data based on deep neural networks, which allows for identifying problems and optimizing key oil exploration processes. Intelligent market demand analysis through data collection and visualization enhances supply chain efficiency. Modern commercial solutions drive the digital transformation of the industry and innovation. The research findings are applicable for optimizing exploration, extraction, and logistics. Unlike existing works, the focus is on the specifics of emerging markets. Despite current challenges (costs, data quality), the implementation of AI will enable: Strengthening well logging data collection; Implementing intelligent geophysical exploration; Automating fault diagnosis. A key direction is the creation of an innovative research center to accelerate digital transformation and the implementation of innovations.
Chapitres de livres sur le sujet "Digital Transformation. Technological Innovation. Logistics Optimization"
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Clemente, Carola. "Technological Innovation for the Next Ecosystem Transition: From a High-Tech to Low-Tech Intensity—High Efficiency Environment." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_34.
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AbstractTechnological innovation is the driver of the progress of the material culture of human civilization. A new balance between development and ecosystem requires the revision of the innovation drivers, in terms of efficiency and transformations of the anthropic environment to reduce the great divides. Sustainability and decarbonization of all production sectors are based on process management skills and optimization of technical knowledge and technologies, to move from a highly technological anthropic ecosystem to a low intensity and high efficiency managed environment. The frontier of innovation is marked by the reduction of the impact of technology and its remodelling, enhancing intangible resources and the design abilities of transformation of the built environment. It is therefore urgent to focus on the R&D models and project strategies for a low-tech environment and highly advanced carbon neutral building/plant integration, the regeneration policies of the built environment with low intensity and high energy and environmental efficiency, with the aim the recovery and inclusion of marginal contexts of energy poverty and economic, where digital and technology divide represent barriers to development and inclusion. The traumatic awareness of the material “limit” of the availability of resources involves a paradigm shift in the global system of the supply chain and resource management on which we have based the development of the “technosphere” and perhaps represents the definitive culture shock necessary to redefine a new relationship between man and the environment.
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Pamisetty, Avinash. "Agentic Intelligence and Cloud-Powered Supply Chains: Transforming Wholesale, Banking, and Insurance with Big Data and Artificial Intelligence." In Deep Science Publishing. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-49307-44-5.
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In an era defined by exponential technological advancement, the convergence of artificial intelligence, big data, and cloud computing is reshaping the global economic landscape. Industries long regarded as traditional—wholesale, banking, and insurance—are undergoing rapid transformation as they adapt to the demands of a hyper-connected, data-driven world. This book explores the transformative potential of agentic intelligence—AI systems capable of autonomous decision-making—and the pivotal role of cloud-powered supply chains in driving efficiency, resilience, and innovation across sectors. As businesses face increasingly complex market dynamics, the ability to harness real-time data and deploy intelligent systems is no longer optional; it is essential for survival and growth. From the optimization of procurement and logistics in wholesale markets to risk modeling and fraud detection in banking, and from personalized policy offerings to automated claims processing in insurance, the fusion of advanced analytics and AI is unlocking unprecedented opportunities. Cloud infrastructure, meanwhile, enables scalability, security, and global accessibility, empowering organizations to reimagine traditional operations and deliver value at a new scale. This book serves as a comprehensive guide for leaders, practitioners, and scholars seeking to understand the strategic and operational implications of these emerging technologies. Through case studies, conceptual frameworks, and forward-looking analysis, we offer insights into how agentic intelligence and cloud ecosystems are not only enhancing business performance but also redefining the future of enterprise. As we stand on the brink of the next digital revolution, the pages that follow will illuminate the pathways through which technology can be harnessed not just to keep pace with change, but to lead it.
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"Embracing Technological Innovation." In Advances in Logistics, Operations, and Management Science. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-5553-4.ch004.
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This chapter explores the critical role of digital transformation in modern organizations, focusing on leadership strategies, value alignment, and stakeholder engagement in the digital age. A comprehensive review of literature and case studies examines how leaders can craft compelling visions, revolutionize leadership approaches, and leverage digital storytelling for effective communication. The chapter emphasizes the importance of role-modeling digital behaviors, fostering innovation, and continuously evaluating and adapting organizational strategies. It highlights the Balanced Scorecard framework as a tool for measuring success in digital transformation. Findings underscore the need for digital literacy, cross-functional collaboration, and ethical considerations in technology adoption. While providing a thorough theoretical overview, the chapter is limited by its lack of primary research. Recommendations include implementing comprehensive digital literacy programs and fostering a culture of experimentation.
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Fernández Alles, María Teresa, and Miguel Angel Sanchez Jimenez. "Digital Transformation and the Culture of Innovation in the Management of Tourism Companies." In Advances in Logistics, Operations, and Management Science. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3057-9.ch012.
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The importance of digital transformation and innovation in today's business environment is critical to the growth, competitiveness and survival of companies in an increasingly dynamic and technological world. The business environment is constantly changing due to factors such as technological advances, changes in consumer preferences and habits, as well as market dynamics. Digital transformation enables companies to nimbly adapt to these changes and seize new opportunities. Companies that embrace digital transformation and foster a culture of innovation tend to be more competitive. This is because they can offer faster, more personalized and efficient products and services, as well as more personalized and customer-centric experiences, which contribute to customer loyalty and satisfaction. In this chapter, we will analyze digital transformation and innovation as key to the formation, training and assumption of managerial roles in a constantly evolving business environment, including case studies that have been successful in adapting to these two trends.
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Rachid, Mharzi, Ben Kacem Abderrahmane, Mharzi Hassan, and Elouadi Abdelmajid. "Enhancing Supply Chain Resilience through Strategic Inventory Management and Technological Integration in Extreme Climate Contexts." In Supply Chain Management in Modern Manufacturing [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1010248.
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This chapter investigates the dynamics of supply chains (SCs) for vital products in Morocco, encountering climate disruptions. It showcases the use of digital twin technology and discrete-event simulation (DES) to enhance logistics chain resilience (LCRES) and operational performance. By integrating advanced simulation and optimization techniques with sensitivity analyses (SAs), the study provides actionable insights for managing extreme weather disruptions (EWDs), improving preparedness, and ensuring essential supplies remain accessible during crises. It emphasizes the transformative potential of digital twin technology in bridging theoretical frameworks with practical applications for useful resilience-centered emergency management (RCEM) and fast responses to disruptions. Advocating for a service-oriented approach, it adapts lean systems to sustain operations within the climate-related humanitarian supply chain (CRHSC). Digital twin-generated key performance indicators (KPIs) support SCs’ capability to navigate disruptions while optimizing inventory availability. The proposed framework assesses vulnerabilities in critical facilities and promotes stakeholder collaboration. Ultimately, the study aims to equip RCEM professionals with innovative tools to enhance decision-making (DM) processes and operational strategies while also mitigating climate change’s adverse effects on vulnerable communities and critical infrastructure.
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Shaikh, Nikita. "Digital Supply Chain Management." In Emerging Trends in Sustainable Supply Chain Management and Green Logistics. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6663-6.ch001.
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In the current digital era, digital transformations take place within every industry, and they have great impact on the management of the supply chains. Sustainability drives today's digital transformation, and the digital transformation of supply chains is essential for the sustainable viability of firms in the era of Industry 4.0. Many studies have focused on technology for big data analysis and the IoT as technologies to fulfill digital supply chains. Technological innovation is essential to achieve competitive advantages in the digital supply chain. In this rapidly developing digital era, digital transformations take place within every industry, and they have effects on the management of the supply chains.
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Şahin, Gonca Güzel. "The Synergy Between Tourism, Aviation, and Digital Transformation." In Harnessing Digital Innovation for Air Transportation. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0732-8.ch007.
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This chapter explores the profound impact of digital transformation on the tourism and aviation sectors, highlighting the necessity for a comprehensive digital strategy in response to global changes. The tourism industry, in particular, is undergoing a paradigm shift, leveraging technological advancements such as mobile applications, social media, and digital platforms to enhance customer satisfaction, experience, and overall competitiveness. Within the aviation sector, digital developments span smart maintenance, risk management, air traffic optimization, and customer relations, all aimed at improving operational efficiency and passenger experience. The interconnectedness of tourism and aviation is evident in the increasing role of air travel, accounting for over 52% of global tourist movements. The chapter delves into the historical evolution of this symbiotic relationship, emphasizing the pivotal role of innovations, increased connectivity, and affordability in fostering tourism growth.
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Jose V., Sejana, and Bindi Varghese. "Transformational Innovation Technologies for Regenerative Bioeconomy." In Handbook of Research on Bioeconomy and Economic Ecosystems. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8879-9.ch018.
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The tourism industry has negative environmental consequences, overshadowing the regenerative bioeconomy. Climate change, land degradation, and resource depletion are significant challenges. Excessive use of non-biodegradable resources threatens the planet, requiring bio-based resources. It is critical to transition to and reuse bio-based resources. In this chapter, the regenerative bioeconomy has a wide-reaching impact on accomplishing SDG 6, 8, 11, and 12, with a focus on the circular economy's involvement in tourism logistics. Investments in talent development, digital technologies, and partnerships are needed to realise bioeconomy potential. Engaging local communities and implementing sustainable business practices can reduce energy use and environmental impact. Digital transformation requires technological advancements, foreign investment, and active participation from all stakeholders. This chapter tries to explain the complicated interplay between the regenerative bioeconomy, tourism logistics, and sustainable practises intertwining.
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Zahid, R. M. Ammar, Muzammil Khurshid, and Cui Ying. "Digital Technologies and Supply Chain Management." In Emerging Trends in Sustainable Supply Chain Management and Green Logistics. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6663-6.ch003.
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Digital transformation has been called the most important strategic issue for businesses around the world. The recent innovation boom brings together technologies that open up new possibilities for imagining and recreating supply flows. This chapter provides a comprehensive overview of digital transformation, enabling technologies, and the impact on traditional supply chain management (SCM) processes. It starts with the introduction of the SCM, followed by the digital shift and its consequences for organizations. It continues with a more in-depth analysis of digitalization and describes the major waves of technological development and industrial and economic leaps, and relates the most recent changes in the supply chain to these waves. Further, it provides examples and use cases to motivate, excite, and emphasize progress. It describes the difficulties in defining the concept, characteristics, and challenges of current digital supply chain (DSC) management.
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Gorobets, Natalia. "USING OF DIGITAL TECHNOLOGIES IN AGRICULTURAL MANAGEMENT." In Transformation of economy, finance and management in modern conditions:. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-220-3-27.
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Іnorder to meet the modern requirements of innovation and technical development, agribusiness must use digital technologies. The introduction of information systems and technologies will ensure the economic and technological growth of agricultural enterprises. With the help of digitalization of processes in agricultural production it is possible to achieve a solution to the problem of food security not only in Ukraine but also in the world. Digital technologies have a number of strengths that need to be used to make better decisions when optimizing business processes in agriculture. The digital strategy of management of agricultural enterprises should be based on geographic information systems, computer technologies, use of SMART-equipment, digital management of business processes of production, marketing, logistics, which will allow differentiated and accurate technical and technological and management decisions. The algorithm for the introduction of digital technologies in agricultural production requires digital knowledge, synchronization of activities, modernization and adaptation of IT systems to the needs of agricultural entrepreneurs. Agricultural education should be aimed at training multi-specialists with digital skills and competencies who, thanks to IT technologies and accurate solutions, will be able to carry out the digital transformation of agribusiness quickly and efficiently.
Actes de conférences sur le sujet "Digital Transformation. Technological Innovation. Logistics Optimization"
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Wang, Jingyi. "Strategic Digital Transformation in B2B Companies: Enhancing Competitiveness Through Technological Innovation." In International Conference on Modern Logistics and Supply Chain Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0013228100004558.
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Marrone, Teresa, and Pierpaolo Testa. "Brand algorithms and social engagement in digital era." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002562.
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The world we live in today is pervaded by digital, the net is increasingly present and mixes the dimensions of the physical and the virtual, changing the way we understand, decide and evaluate things and also the way we do business. Artificial intelligence (AI) and related technologies are transforming the way we think and do marketing and the way companies relate to consumers and society.Internet has assumed a key role in nurturing innovation within business ecosystems. AI, big data and Internet of things (IoT) are key drivers of the current revolution in the way of communicating and relating among both individuals and products. This change is mainly due to the impact of algorithms’ mediations on the creation of value and customer engagement.Recent years, growing attention has been devoted to consumer brand engagement through emerging technological platforms (e.g., social media/artificial intelligence-based). However, despite important knowledge advancement, much remains unknown regarding the effect of Consumers’ Technology-Facilitated Brand Engagement (CTFBE) on individuals’ wellbeing, thus determining an important research gap (Hollebeek and Belk, 2021). CTFBE comprises a vital social facet. Hollebeek and Belk (2021) define CTFBE as a consumer’s bloodedly volitional resource investment in technology-mediated brand interactions (Kumar et al., 2019; Hollebeek et al, 2020). Online behavioral customer engagement occurs because of the rise of the new media and the advancement of technology, which have changed the way customers connect and interact with firms (Jahn and Kunz, 2012). One of the most active channels for such an aim are social media (Gummerus et al, 2012) where customers share their own experiences, information, review brands and manifest enthusiasm, delight, or disgust about a brand with others (Hollebeek and Chen, 2014).Digital transformation has totally transformed the value creation process (Reinartz et al., 2019) revolutionizing the way of doing business using the large mass of available data and information, through sophisticated service platforms that increase both effectiveness and efficiency in the value creation processes. AI has been a key component of digital transformation, substantially affecting consumer decision-making (Duan et al., 2021).AI, big data and the IoT are supporting and / or automating many decision-making processes: product, price, channel, supply chain, communication, etc. The customer experience is also redesigned starting from new value creation objectives and can become a stimulus for the creation of new business models. This, in turn, can provide a customized experience that is highly valued by consumers (Lemon and Verhoef, 2016). While new technologies have brought more ways for customers to interact with brands and companies, digital technologies have similarly enabled the automation of company’s interactions with customers (Kunz et al., 2017).According to Kumar et al (2010), AI represents the enabling technology for the transformation of marketing theory and practices: the enormous availability of data, the explosion of the possibilities to reach and interact on the markets and an increased speed of transactions. AI-enabled digital platform helps organizations to attract their customers (Bag et al, 2021; Chawla and Goyal, 2021).An increasing number of marketing decisions already use artificial intelligence in some way, and with the rise of big data is becoming easier to incorporate AI into business practices. Marketers may develop a more effective and personalized communication approach (Mogaji et al., 2020). For this reason, today AI is adopted in all activities where classification, forecasts and clustering are useful or necessary to solve problems and support decisions (management of anomalies in processes, logistics and optimization planning, customer service and customization).In the contemporary world the ubiquity of digital has made fluid the distinctions between channels and has integrated two dimensions of reality (physical and virtual one in phygital), the management of complex processes has become agile and adaptive, the advantages of integration and dynamic use of resources condition the operation of entire businesses. Well, what influence all this changes, new technologies and brand algorithms will have on social engagement?Prior studies on artificial intelligence in service and marketing research have not addressed customer engagement (Kaartemo & Helkkula, 2018). Perhaps, even Kaartemo & Helkkula (2018) specifically called for more research to answer the question: “How can we improve customer engagement through AI?”The article proposal is theoretical/conceptual in nature and starts from an updated review of academic literature on the aforementioned topics, mainly within marketing and business management disciplines, to achieve an interpretative attempt of Brand algorithm and social engagement (role) in digital era. References on request.
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Daškevič, Diana, and Aurelija Burinskiene. "Aligning digital transformation with strategic management in logistics." In XXI International May Conference on Strategic Management – IMCSM25 Proceedings, Bor, 30.05.2025. University of Belgrade - Technical Faculty in Bor, Bor, 2024. https://doi.org/10.5937/imcsm25072d.
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Digital transformation plays a vital role in enhancing competitiveness within the logistics sector, yet many organizations struggle to align technological innovation with strategic goals. To address this gap, the study examines how decision making enhances the adoption of digital technologies to strengthen competitive advantage. A five-stage methodology, including case study analysis and expert evaluation, ensures analytical depth and practical relevance. Using a mixed-methods approach, the research integrates qualitative insights from logistics professionals with ordinal logistic regression analysis to evaluate their impact on competitiveness. Findings confirm a positive and statistically significant relationship between digital implementation and performance outcomes, emphasizing the importance of strategic foresight and implementation planning. The study underscores the need to assess technological investments through a long-term strategic lens. These findings offer both academic and managerial value, providing a roadmap for logistics firms seeking to enhance resilience, efficiency, competitive advantage, and strategic alignment in a rapidly evolving digital environment.
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Plaza-Hernández, Marta, Ricardo S. Alonso, Javier Parra-Domínguez, et al. "Artificial Intelligence for optimization and indoor real-time locating systems. A case study in winery logistics." In Proceedings of the III Workshop on Disruptive Information and Communication Technologies for Innovation and Digital Transformation: 18th December 2020 Online. Ediciones Universidad de Salamanca, 2022. http://dx.doi.org/10.14201/0aq031193102.
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Abstract: Spain is the EU country with the largest area of cultivated vineyards. However, it experiences a phenomenon of disaggregation and smallholdings, making it complicated for winegrowers to invest in technification. This paper describes an experiment that will be conducted in the Span- ish wine company Pago de Carraovejas. The experiment aims at optimising storage and decision-making when packaging for shipment by developing an Artificial Intelligence system. A module will be created for the improvement of the arrangement of products in the warehouse. This way, the efficiency of the warehous0e and productivity of the winery will increase.
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Dorovska, Petya. "Lean optimizations role in driving effective digital transformation in project-based organizations." In Industrial Growth Conference 2024. Az-buki National Publishing House, 2025. https://doi.org/10.53656/igc-2024.22.
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This paper examines the critical role of Lean optimization in successful digital transformation for project-based organizations. Adopting digital technologies often brings challenges like inefficiencies, waste, and misaligned goals. Lean principles – reducing waste, continuous improvement, and value creation – offer an effective framework to address these issues. Integrating lean methods with automation, AI, and data analytics enhances efficiency, decision-making, and sustainable growth. The paper presents an overview of such integrations, supported by case studies and industry examples. In doing so, it highlights the importance of aligning technological adoption with business objectives and process optimization. By applying Lean thinking to digital transformation efforts, organizations can not only streamline operations but also foster innovation and adaptability in increasingly dynamic market environments. This synthesis of Lean and digital strategies provides a roadmap for navigating the complexities of modern project management while maximizing long-term value and performance. The conclusion emphasizes that this synergy also mitigates common digital transformation challenges, ensuring better alignment between technology investments and strategic objectives.
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Vocke, Christian, and Wilhelm Bauer. "Status quo and quo vadis: creativity techniques and innovation methods for generating extended innovation processes." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002178.
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The digital transformation of entire economic sectors and occupational profiles as well as the introduction of new forms of human-machine collaboration through the increased use of cognitive systems require completely new approaches. The key to success in coping with this change, which can be seen in all industries, is to break up old structures and venture something new. The ability to adapt and innovate is becoming a central success-critical factor in entrepreneurial activity. In order to continue to achieve market success and ensure sustainable growth in an extremely dynamic and disruptive environment, companies and organizations are called upon to proactively shape change. In addition to the establishment of flexible working models and agile processes, the increased generation and integration of knowledge into and around technical systems in the course of targeted competence development of employees is indispensable. The introduction and use of technical systems thus must go hand in hand with the flexibilization of innovation and collaboration processes as well as the development of employee skills in order to generate the currently missing socio-technological link – for companies´ added value and for the benefit of people. In this paper, the authors present an overview of currently used creativity techniques and innovation methods and work out the strengths and weaknesses of the respective tools. Furthermore, the resulting need for action for the optimization of innovation processes in the interaction of established techniques and possibilities of cognitive systems is presented.
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Venkatesh, V. G. "Changing Paradigms of Supply Chains." In Proceedings of the 2nd International Conference on Sustainable & Digital Business. SLIIT Business School, 2023. https://doi.org/10.54389/hyih2189.
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There has been a paradigm shift in the functioning of global supply chains, particularly in thepost-pandemic era. This shift is characterized by the convergence of technology. deployment, geopolitical dynamics, and an increased awareness of environmental and social responsibilities. These transformative changes compel businesses to navigate a complex. web of challenges while simultaneously creating many opportunities for global supply chains. This includes delegating responsibilities to the supplier side, empowering suppliers, and promoting digital supply chain networks. Ongoing trade tensions between major economies, such as the United States and China, have resulted in fluctuations in global logistics patterns. Alterations in tariffs and trade agreements impact shipping routes, transportation costs, and the overall flow of goods. Consequently, supply chains must focus on end-to-end supply chains originating from low-cost sources to withstand unforeseen events like black swan occurrences and geopolitical and trade wars. The pandemic has underscored the critical importance of building resilient supply chains. Many firms reevaluate their supply chain strategies, emphasizing diversification to mitigate risk. This involves reassessing suppliers, exploring alternative sourcing options, and increasing safety stock levels. Geopolitical uncertainties and disruptions have prompted reconsidering global sourcing strategies, with reshoring and nearshoring gaining prominence. Companies seek to mitigate risks associated with distant and complex supply chains by bringing production closer to target markets, enhancing responsiveness, reducing lead times, and fortifying supply chain resilience amid uncertain business conditions. From the traditional supply chain model, there is a continuous effort to integrate information technology to transform value streams and increase processes' transparency. Blockchain is playing a significant role, from tracking the provenance of raw materials to reducing transaction fraud. This technology fosters a new level of trust among supply chain partners, safeguarding against potential disruptions and reinforcing the integrity of the entire supply chain ecosystem. These rapid transformations amid uncertain conditions have prompted a reevaluation of supply chain resiliency with a greater focus on risk mitigation strategies. In global logistics, owning ships and manufacturing/leasing containers for extended periods have become the guiding principles. The recent Brexit has also impacted global transport's European and UK legs. The European industry is grappling with significant shortages of resources, including drivers and trained supply chain manpower, affecting last-mile delivery and land transportation in numerous geographies. The growth of e-commerce has significantly influenced supply chains, leading to innovations in last-mile delivery solutions. Companies are investing in warehouse automation, drone deliveries, and other technologies to meet the demands of the rapidly expanding e-commerce market. x Furthermore, a seismic shift toward sustainability reshapes the global supply chain landscape. Businesses recognize the imperative to address environmental, social, and governance (ESG) concerns. Initiatives to reduce carbon footprints, optimize transportation routes, and embrace ethical sourcing practices are becoming integral components of supply chain strategies. Sustainability is no longer merely a corporate buzzword but a critical factor in ensuring long-term viability and meeting the expectations of socially conscious consumers. Overall, global supply chains are undergoing significant transformation driven by technological innovation, environmental consciousness, and a commitment to building resilient networks. Businesses that embrace these trends are not only adapting to the challenges of today but are also positioning themselves to thrive in the dynamic landscape of tomorrow. The key to success is navigating change, leveraging technology, and building sustainable businesses.
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Xu, Dong, Lesley D. Frame, Jeongho Kim, and Jiong Tang. "A Finite Element Analysis-Based Digital Twin for Investigating the Mechanical Behavior of Ti–6Al–4V at High and Moderate Temperatures." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-145024.
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Abstract The titanium alloy Ti-6Al-4V is widely used across various applications, such as aircraft structural components, machinery parts, and particularly in parts for medical devices. Understanding the deformation behavior and microstructural changes of this material during thermal processing is essential for achieving the required product dimensions and ultimate mechanical properties. The transformation of Ti-6Al-4V’s crystal structure from the beta phase (body-centered cubic structure) to the alpha phase (hexagonal close-packed structure) occurs over a temperature range of 980°C to 650°C. Therefore, investigating the mechanical behavior of Ti-6Al-4V within this temperature spectrum is crucial for optimizing the heat treatment process and improving the alloy’s mechanical properties. Existing studies have revealed that in this temperature range, the increase in flow stress of Ti-6Al-4V as the temperature decreases exhibits a unique non-linear behavior. Utilizing a Finite Element Analysis (FEA)-Based Digital Twin enables precise simulations of complex behaviors, offering deep insights into stress distribution and deformation patterns under various thermal conditions. This predictive model plays a crucial role in enhancing heat treatment methodologies, crafting components with improved mechanical properties, and reducing both the cost and time associated with experimental procedures. The utilization of the Gleeble 3500 physical simulator emerges as a cornerstone in this study for the systematic collection of experimental data, specifically targeting a range of predefined temperatures and strain rates. This investigation notably pioneers the use of a variable temperature tensile test, a methodological innovation aimed at an in-depth exploration of the phase transformation dynamics inherent to the Ti-6Al-4V alloy. This technique is distinguished by its gradual temperature reduction strategy, enabling a nuanced analysis of thermal effects on material properties. In the realm of high-temperature alloy research, empirical constitutive models, particularly the Johnson-Cook constitutive relationship, have traditionally served to model the mechanical behaviors of metals subjected to high-temperature environments and varying strain rates. However, a critical analysis reveals that the Johnson-Cook model simplistically predicts temperature-induced flow stress variations in a linear manner, a representation that falls short of capturing the complex behaviors observed in real-world applications. To address this discrepancy, the current research advances a “Modified Johnson-Cook” model, an adaptation specifically formulated to capture the intricate non-linear flow stress variations observed in the Ti-6Al-4V alloy. This refinement is pivotal in accurately characterizing the alloy’s response to thermal processing. To operationalize this enhanced model, a Fortran code was meticulously developed, enabling its integration into finite element analysis workflows. This technological integration marks a significant stride towards achieving a comprehensive and precise representation of the Ti-6Al-4V alloy’s mechanical behavior under a spectrum of thermal conditions, spanning from moderate to elevated temperatures. This advancement underscores the study’s contribution to the field, potentially guiding the optimization of heat treatment processes and material design strategies for high-temperature applications.
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Junior, Antonio Carlos Ramos, Carolina Bertholdo da Cunha, Cristiano de Souza Santos, et al. "Well Design Process Supported by Artificial Intelligence." In Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35332-ms.
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Abstract In recent years, artificial intelligence (AI) has been changing the way the industry operates, especially the oil industry. In the oil exploration and production activity, specifically in the Reservoirs and Wells areas, the use of AI has been growing exponentially, with applications ranging from reservoir drainage plan evaluation (CARDOSO et al., 2017) to predicting well instability issues during drilling (LENWOUE et al., 2023). The Selection of Alternatives via Artificial Intelligence – SAVIA, arises from the Internal Startups Program, an initiative of Petrobras' Digital Transformation that aims to enable innovations conceived by the employees themselves for value generation, maximizing results and reducing costs for the Company. Centro de Estudos Avançados do Recife (CESAR), as a digital innovation center, partners with Petrobras in the development of these projects to make the ideas feasible. SAVIA emerges from the need to streamline and innovate the well conception process, known as SELEPOÇO, by improving the technological incorporation stage aligned with cost optimization expectations. AI proposes to well Designers alternatives of well configuration for a given investment project. The Minimum Viable Product (MVP) of SAVIA was developed through the construction of a decision tree algorithm based on the accumulated knowledge of Petrobras' technicians and engineers, in the form of business rules implemented in Python, and the construction of a machine learning model based on historical data from built wells. Data from lithology and other information from about 1600 offshore wells built by Petrobras in the last two decades were used to train and assess SAVIA's performance.
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Al Kindi, Osama, Shabib Al Ahsani, Mahmood Al Busafi, et al. "Integrated Physical Modeling with Live Data Base to Develop Exception Base Surveillance Engine for Deep Tight Gas Fields." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2025. https://doi.org/10.2118/225122-ms.
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Abstract This paper details the transformative journey of the Oman Shell Well Reservoir and Facility Management (WRFM) team in designing and deploying an advanced, automated, and engineering-based monitoring system. The initiative was driven by the need to enhance operational efficiency, ensure safety, and optimize resource utilization across oil and gas facilities. The team achieved this by developing an integrated digital solution that seamlessly connects real-time field data with an Integrated Visual Management (IVM) platform. By embedding engineering logic and physics-based models into the IVM system, the solution enables Exception-Based Surveillance (EBS) alarms to be triggered automatically. This innovation has revolutionized the monitoring process, reducing reliance on manual interventions and enabling faster, more accurate decision-making. The primary objective of the project was to streamline the tracking of safety and business-critical performance indicators by automating the surveillance of wells and surface facilities. This automation not only minimized the need for manual data monitoring but also established clear roles and responsibilities for various teams, including WRFM and Operations. By leveraging engineering calculations rooted in physics models and data-driven logic, the team developed a robust system capable of detecting critical issues such as well exceeding erosional velocity, tubing leaks, and other operational anomalies. To enhance usability, the system incorporates diagnostic plots for intuitive visualization and a consolidated event view that includes features such as user acknowledgment and automated email notifications. These functionalities ensure that issues are promptly identified, communicated, and addressed. The EBS engine, a core component of the system, delivers direct value by generating live, accurate, and instantaneous data-driven alarms. These alarms, when acted upon in a timely manner by the field and subsurface teams, have yielded significant operational and financial benefits. Key outcomes include: 100% Well Integrity Compliance: The system ensures that all wells adhere to stringent integrity standards, mitigating potential hazards and safeguarding operational safety. This proactive approach has significantly reduced the risk of well failures and environmental incidents.Reduction in Deferment reaction time: Since its implementation in May 2024, the deferment reaction time have successfully reduced 15%. This reduction has contributed to uninterrupted production, maximizing revenue generation and minimizing operational disruptions.Reduction in Daily Well Review Process time: The automation of the daily well review process has led to a 20% improvement in Full-Time Equivalent (FTE) efficiency. This optimization has allowed for better resource allocation, reduced operational costs, and enhanced productivity. The integration of the IVM platform as a physical modeling tool for system performance, combined with real-time data from surface facilities and wells, represents a groundbreaking achievement in the oil and gas industry. This first-of-its-kind implementation involved hardwiring an operating envelope database with the IVM prediction engine, creating a robust, real-time, and fully automated data surveillance system that is linked to a physical gas field model. The system's ability to predict and monitor operational performance in real-time has set a new benchmark for efficiency and reliability in the sector. Beyond the immediate operational benefits, this innovation has broader implications for the industry. It demonstrates the potential of digital transformation to enhance safety, reduce costs, and improve decision-making processes. The success of this project underscores the importance of collaboration between engineering, data science, and operations teams in driving technological advancements. Furthermore, it highlights the value of leveraging real-time data and predictive analytics to address complex challenges in oil and gas operations. Through development of this automated monitoring system, a significant milestone is achieved in the evolution of well and facility management. By combining advanced engineering models, real-time data integration, and user-friendly visualization tools, the team has created a solution that not only addresses current operational challenges but also paves the way for future innovations in the industry. This project serves as a testament to the power of digital transformation in achieving operational excellence and driving sustainable growth.