Pub Date : 2022-01-11DOI: 10.22456/2175-2745.110015
Luiz Fernando Braz, Jaime Simão Sichman
The formation of high-performance teams has been a constant challenge for organizations, which despite considering human capital as one of the most important resources, it still lacks the means to allow them to have a better understanding of several factors that influence the formation of these teams. In this sense, studies also demonstrate that teamwork has a significant impact on the results presented by organizations, in which human behavior is highlighted as one of the main aspects to be considered in the building of work teams. The Myers-Briggs Type Indicator seeks to classify the behavioral preferences of individuals around eight characteristics, which grouped as dichotomies, describe different psychological types. With it, researchers have sought to expand the ability to understand the human factor, using strategies with multiagent systems that, through experiments and simulations, using computer resources, enable the development of artificial agents that simulate human actions. In this work, we present an overview of the research approaches that use MBTI to model agents, aiming at providing a better knowledge of human behavior. Additionally, we make a preliminary discussion of how these results could be explored in order to advance the studies of psychological factors' influence in organizations' work teams formation.
{"title":"Using the Myers-Briggs Type Indicator (MBTI) for Modeling Multiagent Systems","authors":"Luiz Fernando Braz, Jaime Simão Sichman","doi":"10.22456/2175-2745.110015","DOIUrl":"https://doi.org/10.22456/2175-2745.110015","url":null,"abstract":"The formation of high-performance teams has been a constant challenge for organizations, which despite considering human capital as one of the most important resources, it still lacks the means to allow them to have a better understanding of several factors that influence the formation of these teams. In this sense, studies also demonstrate that teamwork has a significant impact on the results presented by organizations, in which human behavior is highlighted as one of the main aspects to be considered in the building of work teams. The Myers-Briggs Type Indicator seeks to classify the behavioral preferences of individuals around eight characteristics, which grouped as dichotomies, describe different psychological types. With it, researchers have sought to expand the ability to understand the human factor, using strategies with multiagent systems that, through experiments and simulations, using computer resources, enable the development of artificial agents that simulate human actions. In this work, we present an overview of the research approaches that use MBTI to model agents, aiming at providing a better knowledge of human behavior. Additionally, we make a preliminary discussion of how these results could be explored in order to advance the studies of psychological factors' influence in organizations' work teams formation.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87092865","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}
Pub Date : 2021-08-29DOI: 10.22456/2175-2745.107041
Guido Dutra de Oliveira, Pedro Phelipe Gonçalves Porto, Conceição de Maria Albuquerque Alves, C. Ralha
Agriculture is one of the main economic activities in Brazil. The intensive use of water for irrigated agriculture leads to water rise demand contributing to increase water stress. Agent-based models help assess this problem with promising applications entailing an organizing principle to inform us of how to view a real-world system and effectively build a model. In this work, agent-based modeling is applied to simulate water usage for irrigation in agricultural production in the Samambaia river basin in the municipality of Cristalina in the Goias state of Brazil. The use of real data enables analysis of resource availability in a scenario with high demand irrigation, allowing a greater understanding of the needs of the parties involved.
{"title":"An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás","authors":"Guido Dutra de Oliveira, Pedro Phelipe Gonçalves Porto, Conceição de Maria Albuquerque Alves, C. Ralha","doi":"10.22456/2175-2745.107041","DOIUrl":"https://doi.org/10.22456/2175-2745.107041","url":null,"abstract":"Agriculture is one of the main economic activities in Brazil. The intensive use of water for irrigated agriculture leads to water rise demand contributing to increase water stress. Agent-based models help assess this problem with promising applications entailing an organizing principle to inform us of how to view a real-world system and effectively build a model. In this work, agent-based modeling is applied to simulate water usage for irrigation in agricultural production in the Samambaia river basin in the municipality of Cristalina in the Goias state of Brazil. The use of real data enables analysis of resource availability in a scenario with high demand irrigation, allowing a greater understanding of the needs of the parties involved.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79829445","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}
Pub Date : 2021-08-29DOI: 10.22456/2175-2745.107128
Fábio Carlos Moreno, C. R. Barbosa, Edio Roberto Manfio
This paper deals with the construction of digital lexicons within the scope of Natural Language Processing. Data Structures called Hash Tables have demonstrated to generate good results for Natural Language Interface for Databases and have data dispersion, response speed and programming simplicity as main features. The storage of the desired information is done by associating a key through the hashing functions that is responsible for distributing the information in this table. The objective of this paper is to present the tool called Visual TaHs that uses a sparse table to a real lexicon (Lexicon of Herbs), improving performance results of several implemented hash functions. Such structure has achieved satisfactory results in terms of speed and storage when compared to conventional databases and can work in various media, such as desktop, Web and mobile.
本文研究了自然语言处理范畴内数字词汇的构建问题。被称为哈希表的数据结构已经被证明可以为数据库的自然语言接口产生良好的结果，并且具有数据分散、响应速度和编程简单的主要特点。所需信息的存储是通过哈希函数关联键来完成的，哈希函数负责在该表中分发信息。本文的目的是介绍一种名为Visual TaHs的工具，它使用一个稀疏表来生成一个真正的词典(lexicon of Herbs)，从而提高了几个已实现散列函数的性能结果。与传统数据库相比，这种结构在速度和存储方面取得了令人满意的结果，并且可以在桌面、Web和移动等各种媒体上工作。
{"title":"Hash Tables for a Digital Lexicon","authors":"Fábio Carlos Moreno, C. R. Barbosa, Edio Roberto Manfio","doi":"10.22456/2175-2745.107128","DOIUrl":"https://doi.org/10.22456/2175-2745.107128","url":null,"abstract":"This paper deals with the construction of digital lexicons within the scope of Natural Language Processing. Data Structures called Hash Tables have demonstrated to generate good results for Natural Language Interface for Databases and have data dispersion, response speed and programming simplicity as main features. The storage of the desired information is done by associating a key through the hashing functions that is responsible for distributing the information in this table. The objective of this paper is to present the tool called Visual TaHs that uses a sparse table to a real lexicon (Lexicon of Herbs), improving performance results of several implemented hash functions. Such structure has achieved satisfactory results in terms of speed and storage when compared to conventional databases and can work in various media, such as desktop, Web and mobile.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83820511","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}
Pub Date : 2021-08-29DOI: 10.22456/2175-2745.107154
J. Andrade, J. E. B. Maia, G. Campos
Clustering on target positions is a class of centralized algorithms used to calculate the surveillance robots' displacements in the Cooperative Target Observation (CTO) problem. This work proposes and evaluates Fuzzy C-means (FCM) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) with K-means (DBSk) based self-tuning clustering centralized algorithms for the CTO problem and compares its performances with that of K-means. Two random motion patterns are adopted for the targets: in free space or on a grid. As a contribution, the work allows identifying ranges of problem configuration parameters in which each algorithm shows the highest average performance. As a first conclusion, in the challenging situation in which the relative speed of the targets is high, and the relative sensor range of the surveillance is low, for which the existing algorithms present a substantial drop in performance, the FCM algorithm proposed outperforms the others. Finally, the DBSk algorithm adapts very well in low execution frequency, showing promising results in this challenging situation.
{"title":"Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation","authors":"J. Andrade, J. E. B. Maia, G. Campos","doi":"10.22456/2175-2745.107154","DOIUrl":"https://doi.org/10.22456/2175-2745.107154","url":null,"abstract":"Clustering on target positions is a class of centralized algorithms used to calculate the surveillance robots' displacements in the Cooperative Target Observation (CTO) problem. This work proposes and evaluates Fuzzy C-means (FCM) and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) with K-means (DBSk) based self-tuning clustering centralized algorithms for the CTO problem and compares its performances with that of K-means. Two random motion patterns are adopted for the targets: in free space or on a grid. As a contribution, the work allows identifying ranges of problem configuration parameters in which each algorithm shows the highest average performance. As a first conclusion, in the challenging situation in which the relative speed of the targets is high, and the relative sensor range of the surveillance is low, for which the existing algorithms present a substantial drop in performance, the FCM algorithm proposed outperforms the others. Finally, the DBSk algorithm adapts very well in low execution frequency, showing promising results in this challenging situation.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75016279","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}
Pub Date : 2021-08-29DOI: 10.22456/2175-2745.112006
Ricardo Kerschbaumer, André Augusto Kaviatkovski, Gabriel Rodrigues Garcia, C. R. E. Lima, J. M. Simão
The parallelism allowed by FPGAs has attracted attention for knowing applications that need processing power. However, the need for specific and very technical development language has not stimulate its broad use. As an alternative, there are High-level Synthesis Languages (HSL), which allow less complicated FPGA use. However, they do not tend to take full advantage of the FPGA technology. Therefore, another alternative was developed, based on the Notification Oriented Paradigm (NOP), called NOP for Digital Hardware (NOP-DH). NOP allows development in high level with its rule-oriented language called NOPL. Its entity decoupling, parallelism, and redundancy avoidance are useful for best performance. In turn, the NOP-DH brings NOP for the FPGA context with the benefits observed in software but enhanced by hardware nature. This paper reviews the NOPL for NOP-DH (NOPL-DH) that aims high level programming for FPGA. The paper proposes the NOPL-DH test by independent developers, by developing a monitoring device for a box transporting bidirectional conveyer. As a result, NOPL-DH allowed high-level development under the NOP-DH structure in an FPGA, without the need for technical knowledge and, still, maintaining and exploring the NOP properties in FPGA
{"title":"The Notification Oriented Paradigm Language to Digital Hardware as an Intuitive High-level Synthesis Tool","authors":"Ricardo Kerschbaumer, André Augusto Kaviatkovski, Gabriel Rodrigues Garcia, C. R. E. Lima, J. M. Simão","doi":"10.22456/2175-2745.112006","DOIUrl":"https://doi.org/10.22456/2175-2745.112006","url":null,"abstract":"The parallelism allowed by FPGAs has attracted attention for knowing applications that need processing power. However, the need for specific and very technical development language has not stimulate its broad use. As an alternative, there are High-level Synthesis Languages (HSL), which allow less complicated FPGA use. However, they do not tend to take full advantage of the FPGA technology. Therefore, another alternative was developed, based on the Notification Oriented Paradigm (NOP), called NOP for Digital Hardware (NOP-DH). NOP allows development in high level with its rule-oriented language called NOPL. Its entity decoupling, parallelism, and redundancy avoidance are useful for best performance. In turn, the NOP-DH brings NOP for the FPGA context with the benefits observed in software but enhanced by hardware nature. This paper reviews the NOPL for NOP-DH (NOPL-DH) that aims high level programming for FPGA. The paper proposes the NOPL-DH test by independent developers, by developing a monitoring device for a box transporting bidirectional conveyer. As a result, NOPL-DH allowed high-level development under the NOP-DH structure in an FPGA, without the need for technical knowledge and, still, maintaining and exploring the NOP properties in FPGA","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72463480","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}
Pub Date : 2021-08-29DOI: 10.22456/2175-2745.111993
Lucas Siqueira, Sandra M. Venske
Protein Structure Prediction (PSP) problem is to determine the three-dimensional structure of a protein only from its primary structure. Misfolding of a protein causes human diseases. Thus, the knowledge of the structure and functionality of proteins, combined with the prediction of their structure is a complex problem and a challenge for the area of computational biology. The metaheuristic optimization algorithms are naturally applicable to support in solving NP-hard problems.These algorithms are bio-inspired, since they were designed based on procedures found in nature, such as the successful evolutionary behavior of natural systems. In this paper, we present a survey on methods to approach the textit{ab initio} protein structure prediction based on evolutionary computing algorithms, considering both single and multi-objective optimization. An overview of the works is presented, with some details about which characteristics of the problem are considered, as well as specific points of the algorithms used. A comparison between the approaches is presented and some directions of the research field are pointed out.
{"title":"Ab Initio Protein Structure Prediction Using Evolutionary Approach: A Survey","authors":"Lucas Siqueira, Sandra M. Venske","doi":"10.22456/2175-2745.111993","DOIUrl":"https://doi.org/10.22456/2175-2745.111993","url":null,"abstract":"Protein Structure Prediction (PSP) problem is to determine the three-dimensional structure of a protein only from its primary structure. Misfolding of a protein causes human diseases. Thus, the knowledge of the structure and functionality of proteins, combined with the prediction of their structure is a complex problem and a challenge for the area of computational biology. The metaheuristic optimization algorithms are naturally applicable to support in solving NP-hard problems.These algorithms are bio-inspired, since they were designed based on procedures found in nature, such as the successful evolutionary behavior of natural systems. In this paper, we present a survey on methods to approach the textit{ab initio} protein structure prediction based on evolutionary computing algorithms, considering both single and multi-objective optimization. An overview of the works is presented, with some details about which characteristics of the problem are considered, as well as specific points of the algorithms used. A comparison between the approaches is presented and some directions of the research field are pointed out.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88017192","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}
Pub Date : 2021-08-29DOI: 10.22456/2175-2745.108126
A. Silva, C. Vaz, E. Ferreira, R. Galbieri
The advance of cotton farming in the Brazilian savannah boosted and made possible a highly technified, efficient and profitable production, elevating the country from the condition of cotton fiber importer in the 70s to one of the main exporters so far. Despite the increasing contribution of technologies such as transgenic cultivars, machines, inputs and more efficient data management, in recent years there has been a stagnation of cotton productivity in the State of Mato Grosso (MT). Data Mining (MD) techniques offer an excellent opportunity to assess this problem. Through the rules-based classification applied to a real database (BD) of cotton production in MT, factors were identified that were affecting and consequently limiting the increase in productivity. In the pre-processing of the data, we perform the attributes, selection, transformation and identification of outliers. Numerical attributes were discretized using automatic techniques: Kononenko (KO), Better Encoding (BE) and combination: KO + BE. In modeling the rule algorithms used were PART and JRip, both implemented in the WEKA tool. Performance was assessed using statistical metrics: accuracy, recall, cost and their combination using the I_FC index (created by the authors). Results showed better performance for the PART classifier, with discretization by the KO + BE technique, followed by binary conversion. The analysis of the rules made it possible to identify the attributes that most impact productivity. This article is an excerpt from an ICMC/USP Professional Master's Dissertation in Science carried out in São Carlos-SP/BR.
巴西大草原棉花种植的进步促进了技术含量高、效率高和利润高的生产，使巴西从70年代的棉纤维进口国一跃成为迄今为止的主要出口国之一。尽管转基因品种、机器、投入和更有效的数据管理等技术的贡献越来越大，但近年来马托格罗索州(MT)的棉花生产力一直停滞不前。数据挖掘(MD)技术为评估这个问题提供了一个极好的机会。通过将基于规则的分类应用于棉田棉花生产实际数据库(BD)，确定了影响和限制生产力提高的因素。在数据的预处理中，我们进行了异常值的属性、选择、转换和识别。采用Kononenko (KO)、Better Encoding (BE)和KO + BE组合技术对数值属性进行离散化。在建模中使用的规则算法是PART和JRip，它们都是在WEKA工具中实现的。使用统计指标评估性能:准确性、召回率、成本及其使用I_FC指数(由作者创建)的组合。结果表明，采用KO + BE技术进行离散化，然后进行二值转换的PART分类器具有更好的性能。对规则的分析使识别最影响生产力的属性成为可能。本文节选自ICMC/USP专业硕士论文在 o Carlos-SP/BR进行的科学。
{"title":"Classification Based on Rules for the Study of Cotton Productivity in the State of Mato Grosso","authors":"A. Silva, C. Vaz, E. Ferreira, R. Galbieri","doi":"10.22456/2175-2745.108126","DOIUrl":"https://doi.org/10.22456/2175-2745.108126","url":null,"abstract":"The advance of cotton farming in the Brazilian savannah boosted and made possible a highly technified, efficient and profitable production, elevating the country from the condition of cotton fiber importer in the 70s to one of the main exporters so far. Despite the increasing contribution of technologies such as transgenic cultivars, machines, inputs and more efficient data management, in recent years there has been a stagnation of cotton productivity in the State of Mato Grosso (MT). Data Mining (MD) techniques offer an excellent opportunity to assess this problem. Through the rules-based classification applied to a real database (BD) of cotton production in MT, factors were identified that were affecting and consequently limiting the increase in productivity. In the pre-processing of the data, we perform the attributes, selection, transformation and identification of outliers. Numerical attributes were discretized using automatic techniques: Kononenko (KO), Better Encoding (BE) and combination: KO + BE. In modeling the rule algorithms used were PART and JRip, both implemented in the WEKA tool. Performance was assessed using statistical metrics: accuracy, recall, cost and their combination using the I_FC index (created by the authors). Results showed better performance for the PART classifier, with discretization by the KO + BE technique, followed by binary conversion. The analysis of the rules made it possible to identify the attributes that most impact productivity. This article is an excerpt from an ICMC/USP Professional Master's Dissertation in Science carried out in São Carlos-SP/BR.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78077809","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}
Pub Date : 2021-07-18DOI: 10.5753/bresci.2021.15783
Marcelo Luis Rodrigues Filho, O. Cortes
Breast cancer is the second most deadly disease worldwide. This severe condition led 627,000 people to die in 2018. Thus, early detection is critical for improving the patients' lifetime or even cure them. In this context, we can appeal to Medicine 4.0 that exploits the machine learning capabilities to obtain a faster and more efficient diagnosis. Therefore, this work aims to apply a simpler convolutional neural network, called VGG-7, for classifying breast cancer in histopathological images. Results have shown that VGG-7 overcomes the performance of VGG-16 and VGG-19, showing an accuracy of 98%, a precision of 99%, a recall of 98%, and an F1 score of 98%.
{"title":"Efficient Breast Cancer Classification Using Histopathological Images and a Simple VGG","authors":"Marcelo Luis Rodrigues Filho, O. Cortes","doi":"10.5753/bresci.2021.15783","DOIUrl":"https://doi.org/10.5753/bresci.2021.15783","url":null,"abstract":"Breast cancer is the second most deadly disease worldwide. This severe condition led 627,000 people to die in 2018. Thus, early detection is critical for improving the patients' lifetime or even cure them. In this context, we can appeal to Medicine 4.0 that exploits the machine learning capabilities to obtain a faster and more efficient diagnosis. Therefore, this work aims to apply a simpler convolutional neural network, called VGG-7, for classifying breast cancer in histopathological images. Results have shown that VGG-7 overcomes the performance of VGG-16 and VGG-19, showing an accuracy of 98%, a precision of 99%, a recall of 98%, and an F1 score of 98%.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77103721","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}
Pub Date : 2021-01-19DOI: 10.22456/2175-2745.106891
C. Alves, H. Santos
Ambidextrous BPM has gained increasing interest from researchers and practitioners in the last years. It refers to the ability to use exploitative and explorative capabilities in BPM projects. In this paper, we investigate how the integration of exploitative and explorative ideas can leverage the analysis of business processes. The key contributions of this paper are a conceptual model and a method that integrate ambidextrous thinking in a complementary way. Both artefacts were evaluated by means of an expert opinion survey. We also present a case study at an organisation that has implemented our proposed method. We believe that ambidextrous analysis of business processes enables organisations tackling current operational bottlenecks while simultaneously exploring external opportunities for designing innovation in business processes.
{"title":"Integrating Exploitative and Explorative Thinking in Business Process Analysis: A Conceptual Model and Method","authors":"C. Alves, H. Santos","doi":"10.22456/2175-2745.106891","DOIUrl":"https://doi.org/10.22456/2175-2745.106891","url":null,"abstract":"Ambidextrous BPM has gained increasing interest from researchers and practitioners in the last years. It refers to the ability to use exploitative and explorative capabilities in BPM projects. In this paper, we investigate how the integration of exploitative and explorative ideas can leverage the analysis of business processes. The key contributions of this paper are a conceptual model and a method that integrate ambidextrous thinking in a complementary way. Both artefacts were evaluated by means of an expert opinion survey. We also present a case study at an organisation that has implemented our proposed method. We believe that ambidextrous analysis of business processes enables organisations tackling current operational bottlenecks while simultaneously exploring external opportunities for designing innovation in business processes.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76866000","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}
Pub Date : 2021-01-19DOI: 10.22456/2175-2745.105893
Felipe Nedopetalski, Joslaine Cristina Jeske de Freitas
The underlying proposal of this work is to control overload of a Token Player in a Fuzzy Workflow Management System. In order to accomplish this, possibility theory is used to measure how much the Token Player can be overloaded. The model used in this work is built using Colored Petri net and the simulation is made using CPN Tools. Finally, is possible to control overload of the Token Player in a Fuzzy Workflow Management System, nevertheless more time is spent to achieve the end of activities.
{"title":"Overload Control in a Token Player for a Fuzzy Workflow Management System","authors":"Felipe Nedopetalski, Joslaine Cristina Jeske de Freitas","doi":"10.22456/2175-2745.105893","DOIUrl":"https://doi.org/10.22456/2175-2745.105893","url":null,"abstract":"The underlying proposal of this work is to control overload of a Token Player in a Fuzzy Workflow Management System. In order to accomplish this, possibility theory is used to measure how much the Token Player can be overloaded. The model used in this work is built using Colored Petri net and the simulation is made using CPN Tools. Finally, is possible to control overload of the Token Player in a Fuzzy Workflow Management System, nevertheless more time is spent to achieve the end of activities.","PeriodicalId":82472,"journal":{"name":"Research initiative, treatment action : RITA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81519775","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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