{"title":"Business Logic for Resilient Supply Chain Logistics","authors":"R. Bemthuis","doi":"10.1109/EDOCW.2019.00041","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00041","url":null,"abstract":"Technological advancements of emerging paradigms such as Internet of Things have enabled new modes of system design. The supply chain logistics domain can benefit significantly from advances in monitoring and detection of emergent behavior. This doctoral research aims to investigate how techniques and enterprise architectures can be used in order to improve the resilience of logistics supply chain environments. One of the focus areas is the management and improvement of business logic. The foreseen contributions relate to three business logic design aspects. First is the allocation and scheduling of business logic tasks. The next contribution is related to extracting meaning from colossal volumes of data by accommodating data analytic methods. The last contribution evaluates hierarchical software architectures and the underlying system-wide and individual logistics business process performance. Advise is sought on the prospective role business logic can play to improve real-time decision-making in supply chain logistics.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"354 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123221619","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}
{"title":"Digital Transformation – Implications for Enterprise Modeling and Analysis","authors":"Zia Babar, E. Yu","doi":"10.1109/EDOCW.2019.00015","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00015","url":null,"abstract":"Digital transformation is a recent phenomenon that is causing enterprises to adopt new business models and transform their core business operations. For this, enterprise architects require an enterprise modeling framework that would provide a systematic and structured mechanism for managing change in the enterprise at multiple levels and perspectives. This paper describes a set of digital transformation characteristics identified through a systematic literature review to identify research articles that attempt to define, discuss or share experiences regarding digital transformation in enterprises. These characteristics were then abstracted out as a set of requirements for a future enterprise modeling framework that enterprise architects can use to model and analyze enterprises that are undergoing transformation due to emerging digital technologies. Such a modeling framework would allow enterprise architects to analyze enterprises undergoing digital transformation, while considering complexities of software systems and business process design, data-driven decision making, flexibility and adaptation in enterprises, and stakeholder motives and intentions.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131757528","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}
Edocw, Fabrice Boissier, I. Rychkova, J. Carmona, Tahir Emre Kalayci
{"title":"Message from the SMRPM 2019 Workshop Chairs","authors":"Edocw, Fabrice Boissier, I. Rychkova, J. Carmona, Tahir Emre Kalayci","doi":"10.1109/edocw.2019.00007","DOIUrl":"https://doi.org/10.1109/edocw.2019.00007","url":null,"abstract":"Strategic modeling and reasoning have its roots in the field of software engineering with the use of “goals” as the core abstraction for capturing stakeholders’ requirements for a target software system. Quantitative and qualitative reasoning techniques have been developed to assess the level of satisfaction of goals depending on alternative designs of the software architecture or to recommend particular software architecture designs.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133503417","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}
{"title":"A Preliminary Framework for Strategic and Compliance Monitoring","authors":"Evellin C. S. Cardoso, M. Montali","doi":"10.1109/EDOCW.2019.00024","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00024","url":null,"abstract":"The complexity of modern organisations drives the usage of enterprise architectures models and execution data as suitable tools to manage such complexity. To promote a successful enterprise management, this paper proposes the 2QUEN framework that uses enterprise architecture models to monitor the achievement of enterprise goals. In order to represent the relevant architectural domains, 2QUEN uses abstractions like goals, business processes and normative primitives. In order to gather data to monitor goal achievement, 2QUEN proposes the first steps of a methodology to access and query data of a legacy relational database with the purpose of querying norms states. The methodology starts from normative primitives (commitments, authorisations, prohibitions and powers) and uses the architecture provided by the 2-level version of OBDA [2] (2OBDA), a framework from the Semantic Web community, to semantically represent normative primitives and their states, and subsequently map those norms to the underlying legacy data.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133805086","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}
{"title":"Towards a Framework for Smart Resilient Logistics","authors":"M. Koot","doi":"10.1109/EDOCW.2019.00043","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00043","url":null,"abstract":"In order to remain competitive, logistics companies are forced to provide smart solutions within a network that is characterized by complexity and heterogeneity. The advancements of sensing and communication technologies stimulate logistics organizations to improve their business performances by using more advanced decision support tools. This research is devoted to improve logistics decision making by exploiting the enormous datasets originating from IoT networks in combination with Big Data Analytics. The main aim is to develop a resilient planning framework that stimulates logistics planners to combine both human experiences and pattern recognition mechanisms (e.g., machine learning, data mining, etc.). In this paper, four research deliverables are proposed to pursue this vision: (1) a state-of-the-art overview of modern decision support tools to enhance logistics resilience and efficiency; (2) the development of dynamic optimization algorithms using real-time data; (3) the construction of data-driven algorithms to identify, assess and resolve the presence of logistical disturbances and; (4) the formulation of resilient planning framework that enables real-life implementations of the algorithms developed. A brief overview of the required research activities is given as well, including a visualization of the activities' coherency. This paper concludes with a description of the preliminary results and some future research directions.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122041218","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}
{"title":"Challenges in Knowledge Intensive Process Management","authors":"Fabrice Boissier, I. Rychkova, B. L. Grand","doi":"10.1109/EDOCW.2019.00023","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00023","url":null,"abstract":"Processes where knowledge is a key characteristic are called knowledge intensive processes (KIP). A successful KIP has to adapt for the situation and to treat each customer's request as unique rather than to follow some predefined sequence of actions. The discipline of Business Process Management (BPM) defines solutions for modeling, development, analysis and improvement of processes with a predefined flow of activities. From the traditional, activity-centered point of view, KIP are challenging to automate, to control and to test for compliance. In this article we present the overview of recent works that address the challenges and explore different ideas, including extension of BPM, theoretical foundations for KIP management and execution support for KIP. We also outline some research perspectives in KIP management and discuss one particular idea that exploits the data-centered point of view on KIP.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"384 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122358396","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}
{"title":"SoEA4EE 2019 Workshop Organizers","authors":"Edocw, S. Nurcan, Judith Barrios Albornoz","doi":"10.1109/edocw.2019.00013","DOIUrl":"https://doi.org/10.1109/edocw.2019.00013","url":null,"abstract":"Program Committee Judith Barrios Albornoz, University of Los Andes, Venezuela Khalid Benali, LORIA, France Eric Dubois, Luxembourg Institute of Science and Technology, Luxembourg Aditya Ghose, Wollongong University, Australia Claude Godart, LORIA, France Jānis Grabis, Riga Technical University Sung-Kook Han, Won Kwang University, South Korea Ron Kenett, KPA Ltd., Israel Florian Matthes, Technical University Munich, Germany Michael Möhring, Munich University of Applied Sciences, Germany Julio Cesar Nardi, Federal Institute of Espírito Santo, Brazil Jolita Ralyté, University of Geneva, Switzerland Kurt Sandkuhl, University of Rostock, Germany Ulrike Steffens, Hamburg University of Applied Sciences, Germany Jelena Zdravkovic, Stockholm University, Sweden Alfred Zimmermann, Hochschule Reutlingen, German","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114077960","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}
Adina Aldea, M. Iacob, M. Daneva, Latifah Helmy Masyhur
{"title":"Multi-Criteria and Model-Based Analysis for Project Selection: An Integration of Capability-Based Planning, Project Portfolio Management and Enterprise Architecture","authors":"Adina Aldea, M. Iacob, M. Daneva, Latifah Helmy Masyhur","doi":"10.1109/EDOCW.2019.00032","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00032","url":null,"abstract":"Nowadays, organizations are faced with many investment decisions, many of which are related to the selection of projects the organization should undertake in order to achieve its strategic goals. However, these projects are often influenced by several drivers, such as specific concerns of the stakeholders, availability of resources, and varying levels of risk. Thus, organizations often encounter difficulties when having to make such investment decisions. To address this issue, we propose a method which integrates aspects of Project Portfolio Management, of Enterprise Architecture and of Capability-based planning. Our method also covers a comprehensive selection process, based on organizational capabilities, and analytical techniques, such as AHP and linear programming. We demonstrate the application of the method in the case of a large European energy supplier.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586623","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}
Simone Agostinelli, F. Maggi, Andrea Marrella, Massimo Mecella
{"title":"Verifying Petri Net-Based Process Models using Automated Planning","authors":"Simone Agostinelli, F. Maggi, Andrea Marrella, Massimo Mecella","doi":"10.1109/EDOCW.2019.00021","DOIUrl":"https://doi.org/10.1109/EDOCW.2019.00021","url":null,"abstract":"The identification of control-flow errors in business processes (BPs) at design time is one of the most relevant tasks of the early phases of the Business Process Management (BPM) lifecycle, named BP verification. In this paper, starting from a Petri net-based representation of a BP model, we show how instances of the verification problem can be represented as planning problems in PDDL (Planning Domain Definition Language) for which planners can find a correct solution in a finite amount of time. If verification problems are converted into planning problems, one can seamlessly leverage the best performing automated planners, with advantages in terms of versatility and customization.","PeriodicalId":246655,"journal":{"name":"2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131760081","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}