1,721,176 research outputs found
The Practice of Enterprise Modeling:Proceedings of the 17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM 2024)
No full textThis book constitutes the proceedings of the 17th IFIP Working Conference on the Practice of Enterprise Modeling, PoEM 2024, which took place in Stockholm, Sweden, during December 3-5, 2024.PoEM offers a forum for sharing experiences and knowledge between the academic community and practitioners from industry and the public sector. This year the theme of the conference is Industry 5.0 and Society 5.0.The 17 full papers presented in this volume were carefully reviewed and selected from a total of 48 submissions. They were organized in topical sections named as follows: Enterprise modeling for digital transformation and industry applications; advances in enterprise modelling techniques; process mining and business process analysis; security, compliance, and configuration in enterprise modeling
Fitness of Business Models for Digital Collaborative Platforms in Clusters: A Case Study
Full text linkThis paper investigates the role of business models for exploiting digital options within digital clusters (that are clusters where collaboration is IT-dependent). To this aim, this research focuses on digital platforms, a specific IT artifact supporting an inter-organizational system (IOS), which finds a typical application domain in clusters of enterprises. Thus, the paper first discusses the theoretical background and presents a literature review that has been used to set up a framework for analyzing the factors influencing the exploitation of digital platforms at cluster level. The framework is developed through a Design Science Research (DSR) methodology whose empirical ground will be represented by a cluster of more than a hundred of manufacturing small-medium enterprises. An exploratory case study is then discussed in this paper, meant to represent the early stages of application of the DSR method.CS
A generic framework for flexible and data-aware business process engines
No full textBusiness Process Management can be applied to improve the efficiency, efficacy and transparency of its processes. This paper focusses on processes that can be characterized as loosely framed and knowledge-intensive (e.g. diagnosis and treatment of a patient in a hospital). Declarative process modeling languages that incorporate decision logic are well suited to model these processes and tools for the automatic discovery of such models from the data in the current IT-systems are starting to appear. However, the resulting models are often difficult for humans to understand, which makes it hard to implement them. Process engines can help to overcome this problem, as they can handle the complexity of the model and support the users to correctly execute it. Process engines are common ground for imperative models, but the offerings on the declarative side are more limited. This paper uses the design science methodology to develop a generic framework for flexible and data-aware process engines. The declarative model supports the direct flexibility needs of the process actor during execution, and it also enables a more general flexibility of the information system as changes to the model can be enacted immediately. An implementation of proposed framework for the DeciClare language was created, DeciClareEngine, and demonstrated with the realistic arm fracture case
Modelling Value with ArchiMate
Full text linkThis paper investigates the suitability of the ArchiMate modelling language for the purposes of modelling value and related concepts and approaches. Based on this we propose several improvement which can help enterprise architects come one step closer to being able to model all aspects of an organisation, from its strategy, to the value it should create and deliver, to the abilities which are needed to realise this value, and to the architecture which supports this value creation and delivery. This can aid with motivating the value of a project, making changes directly aimed at improving customer value, and visualising the value exchanges within the value network of the organisation
Advanced Dynamic Role Resolution in Business Processes
No full textIn business processes tasks are often executed by humans. Dynamic role resolution is the (run time) selection of the optimal resource to execute a task for a certain process instance based on conditions and requirements that are specified at design time. For this purpose a classification of resources is made, usually based on their organizational position (department, role). This is, however, a very simple way of modeling resources. In this position paper, we propose conceptual extensions to the current approach to role resolution that focus on a more detailed and extended characterization of resources, cases and process objectives in order to improve human and cognitive aspects of the system such as motivation, learning and training of employees
A Game Prototype for Basic Process Model Elicitation
Full text linkContains fulltext :
76123.pdf (Publisher’s version ) (Closed access)PoEM 2009, 18 november 200
Loosely integrated sets of CASE tools:our experience
No full textSoftware engineering was in serious trouble in the beginning of this decade because of lack or proper practices and procedures, tools and co-operative knowledge. Software production workstations, which combine modern hardware and software technology with understanding ofI both end-user's and software engineer's needs and wishes, seem to resolve many problems in the near future.A four-level model of software production and three sets of CASE tools based on that model are presented. The tool sets are - Software project manager's workstation OHTO (developed in 1985-88) - Software quality/configuration manager's workstation SAMPO (developed in 1983-86) and - Software developer's workstation ELiNA (developed in 1986-87).The basic issues behind the tool sets are both flexibility and uniformity. They are achieved by using - open tool set architecture, which allows use of popular commercial tools for general purposes (e. g. for text processing) and for special purposes (e. g. for drawing data flow diagrams) and - both official and de-facto standards at all possible levels (e. g. hardware, system software, documentation).The main strategies chosen for development work were: - commercial technology transfer - incremental development and - intensive role of companies.Experience gained during the six years of corresponding development work, covering both technical and co-operational issues, is described. Also a recent project related to distributed environment for software production is shortly described
A knowledge-based support system for the reuse of structured specifications and designs of embedded computer systems
No full textReuse promises to be one of the key factors in enhancing quality and productivity in software development. However, CASE tools for real-time systems are usually focused on the development of new software. In this paper we describe a domain-based support system for the reuse of structured software specifications and designs of embedded software
A knowledgebased support system for embedded computer software analysis
No full textThe system specification support environment presented in this paper, PROSPEX (Product Specification Expert), supports the RT-SA methodology. It not only provides graphic support for drawing, but also helps the engineer in the analysis and design process itself. PROSPEX analyses the quality and correctness of the RT-SA diagrams using knowledge-based techniques. PROSPEX also includes features for supporting design reuse. The development environment of PROSPEX was KEE expert system development shell running on a Symbolics workstation
Information Extraction for Additive Manufacturing Using News Data
No full textRecognizing named entities like Person, Organization, Locations and Date are very useful for web mining. Named Entity Recognition (NER) is an emerging research area which aims to address problems such as Machine Translation, Question Answering Systems and Semantic Web Search. The study focuses on proposing a methodology based on the integration of an NER system and Text Analytics to provide information necessary for business in Additive Manufacturing. The study proposes a foundation of utilizing the Stanford NER system for tagging news data related to the keywords “Additive Manufacturing”. The objective is to first derive the organization names from news data. This information is useful to define the digital footprints of an organization in the Additive Manufacturing sector. The existence of an organization derived using the NER approach is validated by matching their names with companies listed on the Companies House portal. The organization names will be matched using a Fuzzy-based text matching algorithm. Further information on company profile, officers and key financial data is extracted to provide information about companies interested and working within the Additive Manufacturing sector. This data gives an insight into which companies have digital footprints in the Additive Manufacturing sector within the UK
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