L. Fraccascia, V. Yazdanpanah, Guido van Capelleveen, D. Yazan
The industrial symbiosis (IS) practice refers to replacing production inputs with wastes generated by other production processes, thus helping to close the loop of manufacturing processes. Companies adopting IS can reduce the amounts of wastes disposed of in landfills and primary inputs used in production processes, enhancing their production efficiency and reducing their production cost. The Agent-based modeling (ABM) approach has been recently adopted to advance the knowledge in the IS field, in particular to explore the extent to which the establishment of IS relationships can be affected by policy measures, benefit-sharing contracts, information-sharing tools, or social factors. However, the agentbased models proposed in the literature are highly different in terms of agents considered, their attributes, possible actions, and decisional rules. In particular, these models might result far from the real world, in terms of how the agents are modeled, as well as on the actions that they can undertake. The aim of this paper is to provide a general framework on how to model IS systems with ABM in a comprehensive way. The paper provides a literature review on IS aimed at identifying the potential agents in IS, their attributes, and their potential actions, shaped by technical, economic, and regulatory issues affecting the behavior of agents in terms of strategic management. Based on the results of the literature review, a general framework is proposed and discussed. This paper is expected to advance the knowledge on ABM for IS by providing useful suggestions to modelers and academicians.
{"title":"A Framework for Industrial Symbiosis Systems for Agent-Based Simulation","authors":"L. Fraccascia, V. Yazdanpanah, Guido van Capelleveen, D. Yazan","doi":"10.1109/CBI.2019.00055","DOIUrl":"https://doi.org/10.1109/CBI.2019.00055","url":null,"abstract":"The industrial symbiosis (IS) practice refers to replacing production inputs with wastes generated by other production processes, thus helping to close the loop of manufacturing processes. Companies adopting IS can reduce the amounts of wastes disposed of in landfills and primary inputs used in production processes, enhancing their production efficiency and reducing their production cost. The Agent-based modeling (ABM) approach has been recently adopted to advance the knowledge in the IS field, in particular to explore the extent to which the establishment of IS relationships can be affected by policy measures, benefit-sharing contracts, information-sharing tools, or social factors. However, the agentbased models proposed in the literature are highly different in terms of agents considered, their attributes, possible actions, and decisional rules. In particular, these models might result far from the real world, in terms of how the agents are modeled, as well as on the actions that they can undertake. The aim of this paper is to provide a general framework on how to model IS systems with ABM in a comprehensive way. The paper provides a literature review on IS aimed at identifying the potential agents in IS, their attributes, and their potential actions, shaped by technical, economic, and regulatory issues affecting the behavior of agents in terms of strategic management. Based on the results of the literature review, a general framework is proposed and discussed. This paper is expected to advance the knowledge on ABM for IS by providing useful suggestions to modelers and academicians.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. V. D. Berg, Lars Cordewener, R. Slot, P. Lago, H. Vliet
Enterprise Architecture (EA) is a mechanism to support IT investment decisions. What is lacking, is a practical tool like a checklist that can be used by enterprise architects to support IT investment decisions, and more specifically, the business case. The business case is a common practice to justify IT investment decisions. The objective of this research is to investigate how the use of a checklist can support enterprise architects to improve the quality of a business case. To answer this question, we conducted design science and developed and evaluated a checklist that can be used by enterprise architects in the assessment of a business case. The evaluation of the checklist was conducted by means of an experiment. The results of the experiment with 32 architects demonstrate that using a checklist as such does not lead to higher quality improvement suggestions in the assessment of a business case as compared to not using a checklist. In other words, a checklist alone does not make the difference. Discussion of the results of the experiment with focus groups reveals several preconditions for the use of a checklist. In any case, the use of the checklist reduces the risk of overlooking valuable insights to improve the quality of the business case.
{"title":"Preconditions for the Use of a Checklist by Enterprise Architects to Improve the Quality of a Business Case","authors":"M. V. D. Berg, Lars Cordewener, R. Slot, P. Lago, H. Vliet","doi":"10.1109/CBI.2019.00020","DOIUrl":"https://doi.org/10.1109/CBI.2019.00020","url":null,"abstract":"Enterprise Architecture (EA) is a mechanism to support IT investment decisions. What is lacking, is a practical tool like a checklist that can be used by enterprise architects to support IT investment decisions, and more specifically, the business case. The business case is a common practice to justify IT investment decisions. The objective of this research is to investigate how the use of a checklist can support enterprise architects to improve the quality of a business case. To answer this question, we conducted design science and developed and evaluated a checklist that can be used by enterprise architects in the assessment of a business case. The evaluation of the checklist was conducted by means of an experiment. The results of the experiment with 32 architects demonstrate that using a checklist as such does not lead to higher quality improvement suggestions in the assessment of a business case as compared to not using a checklist. In other words, a checklist alone does not make the difference. Discussion of the results of the experiment with focus groups reveals several preconditions for the use of a checklist. In any case, the use of the checklist reduces the risk of overlooking valuable insights to improve the quality of the business case.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116155898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patient flow modeling in healthcare plays a large role in understanding the operation of the system and its characteristics. Besides, modeling techniques can significantly improve the effectiveness of the medical facilities. The existing level of automation in these facilities enables the accumulation of large amounts of various data. Therefore, the collected data might be considered as the resource of new valuable knowledge. A novel approach to automatically identify the groups of similar clinical pathways based on event hospital data is presented in the paper. More specifically, the approach summarizes the most frequent pathways by implementing hard and soft clustering algorithms in order to describe the behavior patterns. The obtained clusters of clinical pathways serve as a starting point for the development of a personalized approach in modelling the heterogeneous patient flow in urban medical facilities. The results indicate the suitability of multidimensional time series clustering and Additive Regularization of Topic Models (ARTM) for the clinical event data.
{"title":"Application of Modern Data Analysis Methods to Cluster the Clinical Pathways in Urban Medical Facilities","authors":"Elizaveta Prokofyeva, R. Zaytsev, S. Maltseva","doi":"10.1109/CBI.2019.00016","DOIUrl":"https://doi.org/10.1109/CBI.2019.00016","url":null,"abstract":"Patient flow modeling in healthcare plays a large role in understanding the operation of the system and its characteristics. Besides, modeling techniques can significantly improve the effectiveness of the medical facilities. The existing level of automation in these facilities enables the accumulation of large amounts of various data. Therefore, the collected data might be considered as the resource of new valuable knowledge. A novel approach to automatically identify the groups of similar clinical pathways based on event hospital data is presented in the paper. More specifically, the approach summarizes the most frequent pathways by implementing hard and soft clustering algorithms in order to describe the behavior patterns. The obtained clusters of clinical pathways serve as a starting point for the development of a personalized approach in modelling the heterogeneous patient flow in urban medical facilities. The results indicate the suitability of multidimensional time series clustering and Additive Regularization of Topic Models (ARTM) for the clinical event data.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123317637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Kychkin, Alexandr Deryabin, E. Neganova, Vladlena Markvirer
The Internet of Things (IoT) provides opportunities to control interconnected smart devices via pre-designed scenarios with littleor no human involvement. Due to the need for systematic improvement of industrial energy efficiency, the relevance of IoT-based energy management systems (EMS) is constantly increasing. Industrial IoT (IIoT)-enhanced EMS are created to support the digital transformation of enterprises. They increase the transparency of energy consumption statistics, enhance the personnel awareness of energy losses, provide predictive analytics tools for forecasting potential industrial accidents and future energy demand. This paper hence provides a system architecture of the energy management assistant that can be used at enterprises to archive the aforementioned aims. Authors identify the relevance of EMS, list the conditions at modern enterprises that define the requirements for the energy management assistant, demonstrate the identified requirements in the UML diagrams. Specification of energy planning and energy monitoring stages demonstrate the possibilities of the designed system architecture. For demonstration purposes, authors present examples of linear and nonlinear regression models implemented to specify energy consumption target functions based on real data. Finally, future research directions and open energy management problems are presented. The analysis has been carried out within the priority area of scientific development established in the National Research University Higher School of Economics - "Research on control methods in Cyber-Physical Systems".
{"title":"IoT-Based Energy Management Assistant Architecture Design","authors":"A. Kychkin, Alexandr Deryabin, E. Neganova, Vladlena Markvirer","doi":"10.1109/CBI.2019.00067","DOIUrl":"https://doi.org/10.1109/CBI.2019.00067","url":null,"abstract":"The Internet of Things (IoT) provides opportunities to control interconnected smart devices via pre-designed scenarios with littleor no human involvement. Due to the need for systematic improvement of industrial energy efficiency, the relevance of IoT-based energy management systems (EMS) is constantly increasing. Industrial IoT (IIoT)-enhanced EMS are created to support the digital transformation of enterprises. They increase the transparency of energy consumption statistics, enhance the personnel awareness of energy losses, provide predictive analytics tools for forecasting potential industrial accidents and future energy demand. This paper hence provides a system architecture of the energy management assistant that can be used at enterprises to archive the aforementioned aims. Authors identify the relevance of EMS, list the conditions at modern enterprises that define the requirements for the energy management assistant, demonstrate the identified requirements in the UML diagrams. Specification of energy planning and energy monitoring stages demonstrate the possibilities of the designed system architecture. For demonstration purposes, authors present examples of linear and nonlinear regression models implemented to specify energy consumption target functions based on real data. Finally, future research directions and open energy management problems are presented. The analysis has been carried out within the priority area of scientific development established in the National Research University Higher School of Economics - \"Research on control methods in Cyber-Physical Systems\".","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Uskenbayeva, Zhyldyz B. Kalpeyeva, R. Satybaldiyeva, A. Moldagulova, Aizhan Kassymova
The paper presents the result of the analysis and the methodology of RPA applying. The research focuses on the methodology of robotic automation of administrative business processes. The definition of the robotic automation of processes, discussed the advantages of using RPA technology, stages of introduction of effective RPA. The use of RPA in administrative processes of public administration is investigated on the example of accreditation of subjects of scientific and technical activities.
{"title":"Applying of RPA in Administrative Processes of Public Administration","authors":"R. Uskenbayeva, Zhyldyz B. Kalpeyeva, R. Satybaldiyeva, A. Moldagulova, Aizhan Kassymova","doi":"10.1109/CBI.2019.10089","DOIUrl":"https://doi.org/10.1109/CBI.2019.10089","url":null,"abstract":"The paper presents the result of the analysis and the methodology of RPA applying. The research focuses on the methodology of robotic automation of administrative business processes. The definition of the robotic automation of processes, discussed the advantages of using RPA technology, stages of introduction of effective RPA. The use of RPA in administrative processes of public administration is investigated on the example of accreditation of subjects of scientific and technical activities.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132779324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Afanasiev, V. Krivonozhko, A. Lychev, O. Sukhoroslov
Data Envelopment Analysis (DEA) models and Free Disposal Hull (FDH) models were proposed almost simultaneously in the scientific literature. In DEA models, the constraints generate a convex set. For this reason, optimization methods and software are widely used for modeling and computations for these models. Non-convexity of production possibility set of FDH models refrained significantly the development of these models. In this paper, two methods are proposed for two-and three-dimensional frontier visualization for DEA and FDH models. Computational experiments using real-life datasets documented reliability and effectiveness of proposed methods.
{"title":"Three-Dimensional Visualization for Multidimensional Analysis and Performance Management of Socio-Economic Systems","authors":"A. Afanasiev, V. Krivonozhko, A. Lychev, O. Sukhoroslov","doi":"10.1109/CBI.2019.00014","DOIUrl":"https://doi.org/10.1109/CBI.2019.00014","url":null,"abstract":"Data Envelopment Analysis (DEA) models and Free Disposal Hull (FDH) models were proposed almost simultaneously in the scientific literature. In DEA models, the constraints generate a convex set. For this reason, optimization methods and software are widely used for modeling and computations for these models. Non-convexity of production possibility set of FDH models refrained significantly the development of these models. In this paper, two methods are proposed for two-and three-dimensional frontier visualization for DEA and FDH models. Computational experiments using real-life datasets documented reliability and effectiveness of proposed methods.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116939180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, compliance management has gained more and more interest from a practice and research point of view. The financial service industry, in general, is strongly regulated and has to follow specific laws, standards and guidelines. However, research has shown that little attention is being paid to Value Added Tax (VAT) issues, although there is a high cost and risk exposure, especially in large international companies which use large IT-Infrastructures for tax handling. In this paper, we examine a commonly applied approach for the verification of VAT regulations within Enterprise Resource Planning systems (ERP) and highlight weaknesses as well as error susceptibilities. Furthermore, we show that machine learning techniques can be utilized to minimize risks and increase VAT compliance. We use a supervised learning classifier to predict tax subjects and corresponding tax rates based on related voucher information of journal reports. By comparing the results of our model with the existing rule-based system of an ERP system, we reveal potential anomalies and compliance issues. Our approach was evaluated on a given real-world data set of a leading chemical industry company that was exported from its ERP system. The results were validated by VAT experts of the company
{"title":"Utilizing Machine Learning Techniques to Reveal VAT Compliance Violations in Accounting Data","authors":"Johannes Lahann, Martin Scheid, P. Fettke","doi":"10.1109/CBI.2019.00008","DOIUrl":"https://doi.org/10.1109/CBI.2019.00008","url":null,"abstract":"In recent years, compliance management has gained more and more interest from a practice and research point of view. The financial service industry, in general, is strongly regulated and has to follow specific laws, standards and guidelines. However, research has shown that little attention is being paid to Value Added Tax (VAT) issues, although there is a high cost and risk exposure, especially in large international companies which use large IT-Infrastructures for tax handling. In this paper, we examine a commonly applied approach for the verification of VAT regulations within Enterprise Resource Planning systems (ERP) and highlight weaknesses as well as error susceptibilities. Furthermore, we show that machine learning techniques can be utilized to minimize risks and increase VAT compliance. We use a supervised learning classifier to predict tax subjects and corresponding tax rates based on related voucher information of journal reports. By comparing the results of our model with the existing rule-based system of an ERP system, we reveal potential anomalies and compliance issues. Our approach was evaluated on a given real-world data set of a leading chemical industry company that was exported from its ERP system. The results were validated by VAT experts of the company","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"6 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130473989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Most modern-day enterprises are confronted with the challenge of dealing with digital transformations. Digital transformation (DT) commonly refers to a disruptive process that changes profoundly the way companies compete, interact, and create value. Enterprise Architecture Management (EAM) is supposed to be a suitable means to support the management of enterprise transformations and fundamental changes. However, the depth and disruptive nature of the underlying changes raise multiple questions concerning the adequacy of EAM for digital transformation management; in current corporate practice, EAM does not appear to be regularly applied as a support service for digital transformation. In this paper, we investigate the extent to which EAM can provide the required inputs to conduct the activities part of digital transformation endeavors. To this end, we rely on a comparable study found in the literature and extend its scope into digital enterprise transformations. We start by examining which activities need to be carried out to manage digital transformation. We further identify information inputs that are necessary to conduct these activities. We can then analyze whether EAM can supply the required inputs. We will focus on strategic areas of Digital Transformation Management (DTM) and further investigate which information inputs are needed for these DTM activities. When demand and supply are compared, and although EAM provides valuable inputs to organizational issues, EAM shows weaknesses when it comes to information about market trends, contextual and environmental information needed for strategy management activities.
{"title":"Managing Strategy in Digital Transformation Context: An Exploratory Analysis of Enterprise Architecture Management Support","authors":"Saïd Assar, Mouaad Hafsi","doi":"10.1109/CBI.2019.00026","DOIUrl":"https://doi.org/10.1109/CBI.2019.00026","url":null,"abstract":"Most modern-day enterprises are confronted with the challenge of dealing with digital transformations. Digital transformation (DT) commonly refers to a disruptive process that changes profoundly the way companies compete, interact, and create value. Enterprise Architecture Management (EAM) is supposed to be a suitable means to support the management of enterprise transformations and fundamental changes. However, the depth and disruptive nature of the underlying changes raise multiple questions concerning the adequacy of EAM for digital transformation management; in current corporate practice, EAM does not appear to be regularly applied as a support service for digital transformation. In this paper, we investigate the extent to which EAM can provide the required inputs to conduct the activities part of digital transformation endeavors. To this end, we rely on a comparable study found in the literature and extend its scope into digital enterprise transformations. We start by examining which activities need to be carried out to manage digital transformation. We further identify information inputs that are necessary to conduct these activities. We can then analyze whether EAM can supply the required inputs. We will focus on strategic areas of Digital Transformation Management (DTM) and further investigate which information inputs are needed for these DTM activities. When demand and supply are compared, and although EAM provides valuable inputs to organizational issues, EAM shows weaknesses when it comes to information about market trends, contextual and environmental information needed for strategy management activities.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133508503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cloud services have already become an elementary part of our everyday lives. Nowadays even computer games are executed on powerful cloud servers. These cloud gaming services have many benefits for users, yet they have to fulfil high quality requirements to satisfy users' needs because even minimal performance losses are directly observable and worsen the gaming experience. Traditionally, cloud service providers undergo certifications to increase transparency and address users' quality concerns. However, existing certifications are not applicable in the context of cloud gaming to prove a high service quality, and it remains unclear which requirements a cloud gaming service has to fulfil. We conduct a thorough literature review to identify requirements for cloud gaming services as well as extensively review existing cloud service certifications. At the same time, we pay special attention to the interdependencies between the individual stages of the cloud service provisioning chain. With our study, we advance the understanding of cloud gaming services by providing a synthesis and discussion of requirements that providers need to fulfil to ensure user satisfaction. We guide future research as well as practitioners towards a new generation of cloud service certification for cloud gaming services.
{"title":"Are We Ready to Play in the Cloud? Developing new Quality Certifications to Tackle Challenges of Cloud Gaming Services","authors":"S. Ladewig, S. Lins, A. Sunyaev","doi":"10.1109/CBI.2019.00033","DOIUrl":"https://doi.org/10.1109/CBI.2019.00033","url":null,"abstract":"Cloud services have already become an elementary part of our everyday lives. Nowadays even computer games are executed on powerful cloud servers. These cloud gaming services have many benefits for users, yet they have to fulfil high quality requirements to satisfy users' needs because even minimal performance losses are directly observable and worsen the gaming experience. Traditionally, cloud service providers undergo certifications to increase transparency and address users' quality concerns. However, existing certifications are not applicable in the context of cloud gaming to prove a high service quality, and it remains unclear which requirements a cloud gaming service has to fulfil. We conduct a thorough literature review to identify requirements for cloud gaming services as well as extensively review existing cloud service certifications. At the same time, we pay special attention to the interdependencies between the individual stages of the cloud service provisioning chain. With our study, we advance the understanding of cloud gaming services by providing a synthesis and discussion of requirements that providers need to fulfil to ensure user satisfaction. We guide future research as well as practitioners towards a new generation of cloud service certification for cloud gaming services.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115268356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article describes a software package RDS for solving the problem of the limited resources distribution in conditions of uncertainty. We use some blocks to solve optimization problem. Also, RDS allows visualization of results.
{"title":"RDS Program for Optimization Problem","authors":"O. Kuznetsova, Anastasia Marencova","doi":"10.1109/CBI.2019.10099","DOIUrl":"https://doi.org/10.1109/CBI.2019.10099","url":null,"abstract":"This article describes a software package RDS for solving the problem of the limited resources distribution in conditions of uncertainty. We use some blocks to solve optimization problem. Also, RDS allows visualization of results.","PeriodicalId":193238,"journal":{"name":"2019 IEEE 21st Conference on Business Informatics (CBI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122684324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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