Automated Data Exchange Research Articles

Transforming Supply Chain Management through Modern B2B Data Integration

This comprehensive article explores the evolution and current state of B2B integration in supply chain management, focusing on implementation challenges, success factors, and future trends. The article examines case studies from industry leaders, including 3M and Advance Auto Parts, demonstrating how modern B2B integration platforms have transformed traditional supply chain operations through automated data exchange, improved visibility, and enhanced collaboration. The article investigates technical and organizational challenges in implementation while providing best practices for successful deployment. The article offers insights into the future direction of B2B integration technologies and their impact on business performance through detailed analysis of cloud computing, API-first approaches, and artificial intelligence applications.

Streamlining Customer Communication through AI-powered Chatbots in Travel Agencies

Abstract: The Travels Management System (TMS) is a comprehensive solution designed to optimize travel operations for both travelers and administrators. It offers an intuitive interface accessible via web and mobile platforms, allowing for easy booking and reservation management. TMS simplifies expense tracking by consolidating all travel-related expenses in one place, enabling administrators to generate detailed reports to analyze travel expenditure and identify cost-saving opportunities. It also helps enforce travel policies by providing alerts and notifications when bookings fall outside established guidelines, ensuring adherence to company policies and budgetary constraints. TMS offers seamless integration with third-party systems, enabling automated data exchange and enhanced functionality. It also includes features for monitoring travel risks, such as weather alerts, political unrest, or health advisories, allowing administrators to proactively address potential risks and ensure traveler safety. TMS can be customized to meet the unique needs of different organizations, with scalable options to accommodate growing businesses and evolving travel requirements. Overall, TMS provides a comprehensive solution for optimizing travel operations, enhancing efficiency, and ensuring compliance with organizational policies, allowing businesses and individuals to focus on their core objectives while enjoying hassle-free travel experiences. IndexTerms– HTML, CSS, Javascript, MySQL, PHP.

A New Link Adaptation Technique for Very High Frequency Data Exchange System in Future Maritime Communication

The growing demand for communication technology capable of providing high transmission rates in maritime environments has led to the exploration of the very high frequency (VHF) data exchange system (VDES) as a promising solution. The VDES, the integration of an automatic identification system (AIS), application-specific messaging (ASM), and VHF data exchange (VDE), offers improved transmission rates and stable connections compared with existing technologies. Although the VDES supports high transmission rates through various modulation and coding scheme (MCS) technologies, it lacks a standardized mechanism for controlling MCS parameters and relies on user algorithms for operation. In this paper, we introduce the maritime auto-rate fall-back (mARF) technology, designed to effectively address the challenges of maritime communication scenarios using the MCS framework provided by the VDES. mARF technology incorporates fast drop-out and recovery mechanisms to swiftly adapt to changing MCS types in the presence of deep nulls, a common occurrence in maritime communication environments. These adaptive thresholds for fast drop-out and recovery operations are dynamically learned using historical communication data. Through extensive simulations, we demonstrate the effectiveness of mARF in enhancing the MCS control capabilities of the VDES. Our results show a significant performance improvement of 18% compared to the existing model, validating the potential of mARF in optimizing maritime communication channels and supporting a high transmission rate.

Цифровая трансформация экономики: особенности индустриально развитых регионов

The concept of Industry 4.0 based on a set of information technologies forms a new economic paradigm and changes production models. These processes allow the most developed territories to create advantages by integrating digital technologies into their own economy. The purpose of the study is to identify the dynamics and features of the digital transformation processes of the economic sphere in the industrially developed regions of the Russian Federation. In the course of the study, the methods of structural, dynamic analysis of the indicators of official statistics of Russian Federal State Statistics Service in the sphere of digital technologies were used. The study showed the leadership of the macro-regions of the European part of Russia in terms of the digitalization of business, a larger use of digital technologies in industrial regions. The advance of the use of basic information technologies is up to 7 %, in the use of global networks – about 4%, automated data exchange – more than 5 %. In industrial regions, special software is used somewhat more often, especially for product lifecycle management, but less often in the field of scientific research. Such advanced digital technologies as geoinformation systems, digital platforms, artificial intelligence, industrial robots are used more often in industrial regions, and the Internet of Things and digital twins are used less often than in the whole of the Russian Federation. There is still a lag in terms of digitalization costs and the share of digital technology specialists in the economy of industrial regions, explained by the specifics of their production structure. The results obtained demonstrate the specifics of industrial regions and can be used in the process of forming the policy of the Russian Federation in the field of digitalization.

INTEGRATED INFORMATION SYSTEMS IN SOCIAL SERVICES: PROSPECTS FOR REFORMING THE UNIFIED SOCIAL SERVICE OF ARMENIA

This article analyzes the function of the integrated information system within Armenia's Unified Social Service (USS), with an emphasis on its capacity to improve the delivery of social services by enhancing efficiency, accessibility, and responsiveness. The integrated information system serves as a fundamental component of the USS's initiatives to modernize Armenia’s social protection framework by facilitating automated data exchange, optimizing workflows, and promoting evidence-based decision-making. However, this system encounters substantial obstacles, including technical shortcomings such as outdated infrastructure, insufficient automated interconnectivity, and sluggish network performance. Additionally, organizational deficiencies emerge from the lack of network administrators and procedural inefficiencies stemming from ambiguous guidelines and the absence of quality standards. By conducting a thorough analysis of these issues, this article examines the factors that impede the effectiveness of the USS’s integrated information system while offering practical recommendations for remediation. Ultimately, this article seeks to advance Armenia’s initiatives aimed at creating a more inclusive, efficient, and equitable framework for social service delivery.

IFC concepts in the execution phase of conventional tunneling projects

IFC concepts in the execution phase of conventional tunneling projects

Knowledge-based OpenBIM data exchange for building design

Knowledge-based OpenBIM data exchange for building design

Optimal battery energy storage planning and control strategy for grid modernization using improved genetic algorithm

Optimal battery energy storage planning and control strategy for grid modernization using improved genetic algorithm

A hybrid fuzzy based approach for industry 4.0 framework implementation strategy and its sustainability in Indian automotive industry

A hybrid fuzzy based approach for industry 4.0 framework implementation strategy and its sustainability in Indian automotive industry

A digital engineering framework to facilitate automated data exchange between geometric inspection and structural analysis

Digital engineering relies on continuous and interoperable flow of data across the various stages within the product lifecycle, which permits engineers to make more-informed downstream decisions in the lifecycle. A model-based feature information network (MFIN) was developed to enable storing, tracking, and retrieving externally stored metadata in the context of the geometric features of the corresponding computer aided-design (CAD) model. In this paper, we use the MFIN framework to dynamically capture deviations in the part geometry via physical measurements, and to create a new instance of the CAD model and the associated structural analysis. The contribution of this work is the creation of automated workflow software, which enables engineers to improve decision making by assessing (i) as-manufactured part geometries that fall out of specifications during the materials review board or (ii) in-service damages in parts during the maintenance, repair, or overhaul stages of the lifecycle. We demonstrate a use case to assess the structural integrity of a turbofan blade that had experienced foreign object damages during service. The automated flow of information from geometric inspection within structural analysis, enabled by MFIN, presents opportunities for effectively assessing products by utilizing their current geometries and improving decision making during the product lifecycle.

An automated project carbon planning, monitoring and forecasting system integrating building information model and earned value method

An automated project carbon planning, monitoring and forecasting system integrating building information model and earned value method

Сравнительная оценка цифровизации индустриальных регионов РФ.

Technological and organisational opportunities provided by digitalisation to the society and economy can help improve the efficiency of industry and advance the development of industrial regions. The study aims to assess the digitalisation level and rate of industrial regions in comparison with the av-erage Russian level. For this purpose, structural and dynamic analysis, as well as the method of grouping of various indicators from the official Russian statistics in the field of ICT were applied. It was hypothe-sised and confirmed that digital technologies are used more intensively in industrial regions. In terms of the use of basic information technologies, the values are higher by 1-7 %. Organisations in industrial re-gions are 3 % more likely to use global networks to interact with counterparts. There are also more en-terprises (by 4 %) that have implemented automated data exchange with partners. Industrial regions have been using special design, production management and product lifecycle software 15 % more often since 2018. However, a hypothesis of a larger-scale implementation of advanced digital technologies in indus-trial regions has not been unequivocally confirmed. The values are higher only for indicators of the use of industrial robots (by 25 %), artificial intelligence technologies (by 12.4 %), digital platforms (by 3.4 %), geo-information systems (by 4.7 %), the Internet of Things (by 4.3 %). The findings can be used to develop digi-talisation strategies at the regional and federal levels. Variability of the regulatory framework for collecting statistics and underdeveloped terminology in the field of digital technologies can be considered as limita-tions to the application of the results. Further research may focus on building econometric and other models for implementing digitalisation in regions.

Toward new generation railway Traffic Management Systems: the contribution of the OPTIMA project

Toward new generation railway Traffic Management Systems: the contribution of the OPTIMA project

BIMobility Simulator as a BIM-based solution for integration of e-mobility in design process.

Electromobility is an opportunity to reduce the effects of greenhouse gas (GHG) emissions on climate change. For this reason, electromobility use is increasing and designers must consider Electric Vehicle Charging Stations (EVCS) as part of the building system. Building Information Modelling (BIM)-based technologies are potentially useful for considering sustainable aspects and systems in the building process. This paper deals with the development of a BIM-based tool that integrates electromobility into construction design. The goal is to support the integration of electromobility into the design of buildings or neighbourhoods and to guide the project towards an optimal configuration. The components of the electromobility infrastructure are included in the building model and an automated data exchange process between BIM software and Microsoft Excel evaluates some Key Performance Indicators (KPIs). The KPIs are shown by means of a user interface with a series of graphs and they allow to evaluate the most efficient scenario by comparing different project alternatives. The paper describes how the information flow has been structured, in order to automatically evaluate the electromobility integration and optimize the design process.

Implementation and Use of Risk Evaluation and Mitigation Strategies Programs in Practice: A Scoping Review of the Literature.

Risk Evaluation and Mitigation Strategy (REMS) programs intend to improve medication safety but can add significant administrative burdens to providers and health systems. Various stakeholders have made efforts to use technology to improve REMS programs. The objective of this scoping review is to describe studies evaluating workflows, automation, or electronic data exchange related to REMS programs. A literature search of PubMed, Embase, and Web of Science was performed for articles published between January 2007 and July 2021. Studies were identified using the relevant Medical Subject Headings terms and related keywords. Articles must have described a workflow change and measured the impact of the workflow change. Of 299 citations initially identified, 7 were included in the final review after removing duplicates and articles not meeting predefined inclusion criteria. Included studies consisted of three manuscripts and four conference abstracts. Electronic health record interventions, such as customized order sets and clinical decision support alerts, were the most common strategy reported. Other strategies included developing a portal to verify REMS enrollment, requiring prescribers to contact the dispensing pharmacy, provider education, and restrictions based on the provider specialty. One study evaluated automated data exchange for REMS program processes in a mock environment. Although only three studies reported baseline metrics for comparison, all studies noted an improvement or benefit to the implemented workflow process changes. There is limited evidence describing REMS workflows, automation, and electronic data exchange. Various strategies to address REMS program requirements were reported, but no studies described the use of data exchange standards in a real-world setting despite efforts by the Food and Drug Administration and other stakeholders. Additional efforts are needed to automate REMS programs.

Analysis and evaluation of Indian industrial system requirements and barriers affect during implementation of Industry 4.0 technologies

In recent years, competition among the Indian manufacturing industries (IMI) has increased enormously in the global market. The current uncertainty in the market context is characterised and governed by the customised requirements of the customers. Thus, the manufacturing system in the industries should be capable of adapting the parameters like flexibility in scalability, variety, agility, system responsiveness, inter-connectivity, automatic data exchange with communication among the manufacturing systems, transparency and human–machine interaction, which are the main components and principles of Industry 4.0 (I4.0). Thus, adopting I4.0 plays a vital role to corroborate its long-term survival in the global marketplace. However, very few research work considerations contribute towards the issues induced during the adoption of I4.0 in manufacturing industries. This paper aims to minimise the gap between the existing Industrial System Requirements (ISRs) and the challenges faced during implementing I4.0 technologies in existing Industries. The identified ISRs and barriers were evaluated and analysed based on the data set collected from a questionnaire-based survey. Fuzzy multi-criteria analysis is conducted to identify the most weighted ISRs and barriers and ranked them concerning their importance. Furthermore, the inter-item correlation between both of them is analysed. This research work offers the researchers, practitioners, and industrialists an opportunity to formulate multi-criteria decision making (MCDM) problems through numerous case studies and prioritise the top barriers, system requirements and the inter-relationship shared between them.

Increased efficiency in virtual commissioning with automated model generation based on component libraries

The use of Virtual Commissioning (VC) is becoming increasingly relevant for the engineering of automation systems. VC allows for validating concepts and design solutions in the early phases of product development, thereby improving communication among disciplines, reducing the costs for bug fixing and accelerating the overall engineering process, in particular the commissioning of plants and machines. However, as an additional software tool in engineering, the introduction of VC causes initial training and more importantly continuous extra modelling efforts. An approach to overcome this flaw is the automated generation of VC models based on existing engineering information from the system or domain level - ideally in tandem with the reuse of solution models from previous project. The latter can prove particularly beneficial in the context of modular building-block systems as often pursued in automation engineering. This paper presents a practical implementation of an automated VC model generation solution based on system structure and layout models combined with an object library containing additional model information of the applied automation components. The presented use case addresses VC simulation models of intralogistics warehousing systems where the layout plans provide information about type, position and dimension of predefined subsystems, modules or components which are then being analyzed and merged with additional model information. By means of a specific exporter the assembled model information is being filtered and transferred into the simulation environment via a standard API. Significant time savings could be demonstrated in this use case. Based on these results a generalized framework for more efficient interdisciplinary engineering processes based on automated data exchange as well as automated model transformation and generation has been derived and will be presented along with an outlook on future research activities.

Blueprint for aligned data exchange for research and public health.

Making EHR Data More Available for Research and Public Health (MedMorph) is a Centers for Disease Control and Prevention-led initiative developing and demonstrating a reference architecture (RA) and implementation, including Health Level Seven International Fast Healthcare Interoperability Resources (HL7 FHIR) implementation guides (IGs), describing how to leverage FHIR for aligned research and public health access to clinical data for automated data exchange. MedMorph engaged a technical expert panel of more than 100 members to model representative use cases, develop IGs (architectural and content), align with existing efforts in the FHIR community, and demonstrate the RA in research and public health uses. The RA IG documents common workflows needed to automatically send research data to Research Patient Data Repositories for multiple use cases. Sharing a common RA and canonical data model will improve data sharing for research and public health needs and generate evidence. MedMorph delivers a robust, reusable method to utilize data from electronic health records addressing multiple research and public health needs.

Kamchatka seismic monitoring and Earthquake prediction system and its evolution. Main results of observations in 2016-2020

In this paper we present brief review of results of Kamchatka Seismic Monitoring and Earthquake Prediction System operations in the last five years. In addition, the retrospective of development of hardware, equipment and software of the System performed. The main direction in the System evolution in this period concerned the creation and modernization of data acquiring and pro-cessing methods. One of main results is creation basic informational space, that includes all pro-cesses if seismic observations, from data acquiring till exchange (including external users) of da-ta processing results. In particular, the system of data storage was deeply modernized, high-speed access to the data archive was provides, high-performance computing clusters were deployed, all seismic stations were combined in the unified network. Development algorithms and software for data processing and seismic regime controlling was continued. Creation and development of the Seismological Data Informational System (SDIS) provide the access to seismic observations re-sults for research community. The service of automatic data exchange with external users was created and incorporated in SDIS. Kamchatka Seismic Monitoring and Earthquake Prediction System in 2016-2020 allowed registering and processing over 83 thousand tectonic and volcanic earthquakes. The complex studies for seven the strongest ones were conducted. Detailed analysis showed, that magnitude of completeness for regional scale is MLc=2.5, and for local scale (for example – volcano seismic monitoring) – MLc=–0.2.

Economic and Legal Aspects of the Network Readiness of the Enterprises in Ukraine in the Context of Business Improving

In this paper, the network readiness of the enterprises in Ukraine has been analyzed. National statistics data and international indices were used to measure and characterize fundamental changes in Ukraine at the economic and business levels. These changes are influenced by modern information technologies and new global information society tendencies. Indicators used to measure the network readiness of the enterprises were examined. Obtained results show positive dynamic improvement and simplification of enterprise activities under network economy growth in Ukraine. The detailed examination of individual indicators confirmed infrastructure and availability of digital content and prevalence of the business and innovation environment over the network economy's actual enterprise performance in 2018.An integral indicator was used to measure the level of actual use of information and communication technologies, the implementation of innovations, automated data exchange by national enterprises, and network readiness. The integral indicator of the enterprises' network readiness is a comprehensive summary of 46 components were grouped by authors into the following blocks: infrastructure and availability of digital content; business and innovation environment; business exploitation.The analysis of the selected block of indicators for 2010-2018 showed positive network readiness dynamics. The gap between the enterprises' network readiness at the regional and national levels was measured by calculating the distance between the network vector of a particular region and the average values in Ukraine. In 2018, the length of the network vector Aj was 57.27. Of the 622 enterprises surveyed, almost 94% used computers. Among the studied enterprises, a large proportion used the Internet to carry out banking operations and automated data exchange, receive tax forms, send or forward completed forms.A negative trend towards an increase in the gap between information and communication technologies at the regional and national levels has been revealed. The studied indices of the enterprises' network readiness in Ukraine enabled us to measure the level of digital infrastructure, business climate, business opportunities provided to some extent by information and communication technologies and the Internet, facilitating business operations and their quantity. The authors selected indices related to network readiness, analyzed the components which influence businesses and region capability to exploit information communication technologies to develop.