A Methodology for the Identification of Extremal Loading in Data Flows in Information Systems

Author(s):  
Andrey Gorshenin ◽  
Victor Korolev
2009 ◽  
Vol 9 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Jan Bahlmann ◽  
Achim Spiller

The German meat sector is faced with increasing cost pressures and a high demand for quality and safety. Both issues require powerful and holistic IT solutions in order to achieve knowledge transfer, process alignment and transparent information flows across the supply chain. In recent years, new Inter-Organizational Information Systems (IOS) were developed for the red meat industry. However, the acceptance of IOS at the farm level is still relatively low. Since there is hardly any relevant literature on IOS in the meat sector, this study contributes to the general research on IOS, the status quo of data flows in the pork supply chain as well as a systematization and evaluation of the most relevant existing internet based IOS. Furthermore, special needs for IOS on the spot market which is the dominating organizational form in the German pork sector are defined and contrasted against the current supply of systems. It was found that none of the existing IT solutions adequately meet the requirements which are important in complex spot market relationships. Consequently, we recommend a higher consideration of supply chain organization in IOS research and development.


2005 ◽  
Vol 21 (01) ◽  
pp. 37-45
Author(s):  
Wei Tann ◽  
Heiu-Jou Shaw ◽  
Robert Bronsart

Coordination procedures in commercial ship design, production, and procurement are widely predominantly analyzed fields. While deadlines become shorter and shorter, the complexity of modern commercial vessels increases steadily, so that these information systems are more and more indispensable for integration in maritime industry. Based on a detailed evaluation of integrating the upstream and downstream data flows, this paper describes the current implementation states under the collaborative environment concept and establishes the future integration network for shipbuilding.


2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Nikolay Lipskiy ◽  
James Tyson

ObjectiveThe purpose of this project is to demonstrate progress in developinga scientific and practical approach for public health (PH) emergencypreparedness and response informatics (EPRI) that supports theNational Health Security Strategy and Global Health SecurityAgenda (GHSA) objectives. PH emergency operations centers (EOC)contribute to health security objectives because they operationalizeresponse, recovery and mitigation activities during national andinternational PH events. The primary focus of this presentation is todescribe the results of an analysis of CDC’s EOC, and other EOCs, inbuilding their EPRI capabilities.IntroductionGlobal travel and human migration patterns facilitate the spreadof diseases such as influenza A/H1N1, Ebola, and Zika, increasingpressure to PH systems to protect their constituents against globalhealth threats. Effective prevention, detection, and rapid response tothreats rely heavily on adequate information sharing. This requireseffective information management through PH EPRI applicationssuch as information systems and tools, knowledge management,and a continuous cycle improvement to maintain system quality.Enhancement of PH EPRI capabilities contributes to improveddecision making during emergencies1. It transforms public healthpractice and improves health outcomes through better surveillance,epidemiology, integrated delivery of services, and other emergencypreparedness and response activities.EPRI activities depend on both technical systems and the peoplewho use them. Without adequate training, these systems cannot beeffective. CDC’s PH EOC information processes and data flows area notable use case, utilized by hundreds of emergency respondersduring large-scale PH events. By analyzing this use case, CDC’sinformaticians have identified multiple opportunities for advancingPH EPRI and advance the objectives of the GHSA.MethodsPH EPRI is an interdisciplinary science, incorporating knowledgeand techniques from a multiple fields of research and practice. Theseinclude epidemiology and surveillance, gathering and distributinginformation for situational awareness (SA), technology infrastructuredevelopment, incident management, and several other disciplines.CDC’s Situational Awareness Branch used three sources for thisanalysis: direct analysis of CDC’s EOC information systems andSA activities; WHO’sFramework for a Public Health EmergencyOperations Centre2, and HHS’Public Health and Medical SituationalAwareness Strategy3. This assessment also included a comparisonof the objectives of PH EPRI to the objectives of other emergingdisciplines, such as PH informatics and emergency preparednessinformatics. This helped in avoiding overlap with other disciplinesand fixing gaps within PH EPRI.ResultsThe following information flows were identified as part of theCDC’s EOC operations: Managing and Commanding, Operations,Planning and Intelligence, Logistics, and Finance/Administration.These information flows are standard for PH EPRIs. Each informationflow is supported by an information structure that consists ofhierarchical categories. For example, the Operations information flowincludes Task Tracking, Event Investigation, and Controlling. As ofAugust, 2016, CDC’s EOC defined 41 hierarchical categories for PHEPRI data flows.CDC’s EOC harmonized different information flows by using aconsistent vocabulary to describe the hierarchical components ofeach information flow. Two hundred thirty six data elements of thisvocabulary were harmonized as of August 2016 to standardize itsEPRI systems. The hierarchy of PH EOC data flows and harmonizeddata elements were published in the CDC Vocabulary and AccessDistribution System, VADS4.Some information flows were unique to PH EPRI, and were notcovered by other emerging disciplines. Examples of these uniqueinformation flows include some incident management data, logisticsfor deployment of PH personnel and resources, and some eventmitigation data.ConclusionsCDC’s EOC has several harmonized information flows that benefitusers and CDC emergency activations. Understanding these uniquePH EPRI data flows helps improve preparedness of staff for workingwith information flows during emergency activations. Advancesin harmonization and standardization helped improve PH EPRI,optimize staff training.


2003 ◽  
Vol 1836 (1) ◽  
pp. 93-101 ◽  
Author(s):  
Kenneth J. Dueker ◽  
Paul Bender

Creating and maintaining up-to-date, sharable, geographic information systems–transportation data are challenging. Many states are working on transportation framework efforts to build a complete, consistent, and current transportation data layer in conjunction with the National Spatial Data Infrastructure and Geospatial One-Stop efforts. An effort was made to systematically reexamine transportation data-sharing issues as part of the development of a transportation framework for the state of Washington. Business needs were assessed for spatial and temporal accuracy needs of stakeholders and users of a statewide transportation framework. A conceptual model was developed for a transportation framework with emphasis on data flows to update and maintain it and other transportation databases. An update clearinghouse is proposed to collect and disseminate data about new and modified road features. A synthesis of issues is presented, including determining the desired robustness of the transportation framework and cost-allocation principles for possible add-on enhancements.


1984 ◽  
Vol 1 (1) ◽  
pp. 175-185
Author(s):  
Michael E. D. Koenig

2020 ◽  
Vol 64 (1) ◽  
pp. 6-16 ◽  
Author(s):  
Sarah M. Meeßen ◽  
Meinald T. Thielsch ◽  
Guido Hertel

Abstract. Digitalization, enhanced storage capacities, and the Internet of Things increase the volume of data in modern organizations. To process and make use of these data and to avoid information overload, management information systems (MIS) are introduced that collect, process, and analyze relevant data. However, a precondition for the application of MIS is that users trust them. Extending accounts of trust in automation and trust in technology, we introduce a new model of trust in MIS that addresses the conceptual ambiguities of existing conceptualizations of trust and integrates initial empirical work in this field. In doing so, we differentiate between perceived trustworthiness of an MIS, experienced trust in an MIS, intentions to use an MIS, and actual use of an MIS. Moreover, we consider users’ perceived risks and contextual factors (e. g., autonomy at work) as moderators. The introduced model offers guidelines for future research and initial suggestions to foster trust-based MIS use.


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