Model-based evaluation environment for sustainability

Nowadays, many companies are using enterprise models within an enterprise planning system to develop their business strategy. In order to follow a holistic sustainability approach, environmental, economic and social aspects have to be integrated into these models on a strategic, tactical and operational level. This results in an increased model complexity and requires mechanisms to ensure consistency and efficient model management. Furthermore, the user is confronted with a variety of data and is not able to perform model validation and verification as well as using the enterprise model as a tool for operational support. This paper presents an approach of a model-based evaluation environment by extending enterprise models with sustainability artefacts, to empower the users within their decision-making towards a sustainable enterprise orientation. A framework for contextual enterprise modelling is applied to provide configurable individual model evaluation and application views

Model-based evaluation environment for sustainability

Nowadays, many companies are using enterprise models within an enterprise planning system to develop their business strategy. In order to follow a holistic sustainability approach, environmental, economic and social aspects have to be integrated into these models on a strategic, tactical and operational level. This results in an increased model complexity and requires mechanisms to ensure consistency and efficient model management. Furthermore, the user is confronted with a variety of data and is not able to perform model validation and verification as well as using the enterprise model as a tool for operational support. This paper presents an approach of a model-based evaluation environment by extending enterprise models with sustainability artefacts, to empower the users within their decision-making towards a sustainable enterprise orientation. A framework for contextual enterprise modelling is applied to provide configurable individual model evaluation and application views

Assessments of Information Systems at Small and Medium-sized Enterprises in the Agri-food Sector

Integrated information systems under large-scale company conditions have become widespread over the past decades. Information, data management and systematic information produced from these data and arranged according to needs, however, are required by not only large-scale companies but small- and medium-sized enterprises as well in the agri-food sector. The improvement of information and communication technologies continuously influence the development of information systems, the introduction of different solutions in architecture and the application of new business models. Our research goals was to analyse the evolution of ERP (Enterprise Resource Planning), functional analysing of SME’s (Small and Medium-sized Enterprises) information systems and developing decision support tools for selection, comparison of ERPs and economical evaluation of ERP investment. This tools are partly developed and usable for SMEs in the agri-food sector

Multifaceted modelling of complex business enterprises

We formalise and present a new generic multifaceted complex system approach for modelling complex business enterprises. Our method has a strong focus on integrating the various data types available in an enterprise which represent the diverse perspectives of various stakeholders. We explain the challenges faced and define a novel approach to converting diverse data types into usable Bayesian probability forms. The data types that can be integrated include historic data, survey data, and management planning data, expert knowledge and incomplete data. The structural complexities of the complex system modelling process, based on various decision contexts, are also explained along with a solution. This new application of complex system models as a management tool for decision making is demonstrated using a railway transport case study. The case study demonstrates how the new approach can be utilised to develop a customised decision support model for a specific enterprise. Various decision scenarios are also provided to illustrate the versatility of the decision model at different phases of enterprise operations such as planning and control

Advanced Tools and Technologies for Collaborative Product Development and Knowledge Management

The shortcomings of the current state-of-the-art in distributed / collaborative product development of engineering products from concept to production are: A lack of an integrated interface for the full spectrum of functions needed by complex conceptual design for manufacture and assembly; and management and re-use of concept design knowledge within an integrated design environment. Recommendations are given on the integration of these disparate technologies for the benefit of collaborative work teams to enable them to use a seamlessly integrated interface to develop, review, analyse and reuse engineering and manufacturing knowledge and models within the enterprise and the supply chain. A proposed methodology and a functional description of such a system is presented. The system utilises the Protégé-2000 expert system on top of the Windchill data management / collaboration software. International Standard for the Exchange of Product model data – STEP is to be used for machining feature definition

Alignment between data warehouse design and business strategy

Data warehouse has become a very important tool for supporting the corporate executives in making important decisions in a highly competitive business environment. Data warehouse enables the top management to acquire and analyze integrated data extracted globally across the enterprise. Many organizations are sitting on vast amount of data already accumulated in their operational database. The huge data repository with potential strategic business information can be analysed comprehensively only through the usage of data warehouse system. The main objective of this paper is to systematically review the development and adoption of data warehouse design in business environment and the different models to assess the alignment between information technology strategy and business strategy

Cross-cultural Knowledge Management

The success of international companies in providing high quality products and outstanding services is subject, on the one hand, to the increasing dynamic of the economic environment and on the other hand to the adoption of worldwide quality standards and procedures. As market place is becoming more and more global, products and services offered worldwide by international companies must face the multi-cultural environment challenges. These challenges manifest themselves not only at customer relationship level but also deep inside companies, at employee level. Important support in facing all these challenges has been provided at cognitive level by management system models and at technological level by information cutting edge technologies Business Intelligence & Knowledge Management Business Intelligence is already delivering its promised outcomes at internal business environment and, with the explosive deployment of public data bases, expand its analytical power at national, regional and international level. Quantitative measures of economic environment, wherever available, may be captured and integrated in companies’ routine analysis. As for qualitative data, some effort is still to be done in order to integrate measures of social, political, legal, natural and technological environment in companies’ strategic analysis. An increased difficulty is found in treating cultural differences, common knowledge making the most hidden part of any foreign environment. Managing cultural knowledge is crucial to success in cultivating and maintaining long-term business relationships in multicultural environments. Knowledge Management provides the long needed technological support for cross-cultural management in the tedious task of improving knowledge sharing in multi-national companies and using knowledge effectively in international joint ventures. The paper is approaching the conceptual frameworks of knowledge management and proposes an unified model of knowledge oriented enterprise and a structural model of a global knowledge management system.Global Business, Intercultural Competencies, Business Intelligence, Multicultural Knowledge Management, Business Knowledge Frameworks, Knowledge Capital

IVLE4C a Conceptual Learning Environment for Teaching Enterprise Cybersecurity

The authors are working to improve students’ understanding of and classroom experience with enterprise cybersecurity. Central to this effort is development of the Integrated Virtual Learning Environment for Cybersecurity (IVLE4C), a teaching and learning tool intended for use by both teachers and students. The authors are endeavoring to incorporate into IVLE4C best practices from the knowledge domains of education, model-based systems engineering, and cybersecurity. A modern digital enterprise is a large-scale, complex system of systems. Enterprise cybersecurity is a special subset of the larger knowledge domain that merits special consideration when instructing students who lack relevant work experience. This lack of work experience creates a gap in students’ knowledge about the structure, operation, and control of a modern digital enterprise. Our guiding precept – coined Greer’s Rule of Thumb – is that: it is impossible to defend what cannot be visualized and described. Therefore, it is essential to address the student enterprise knowledge gap before attempting to teach the means for assuring enterprise cybersecurity. Viste and Skartveit (2004) propose using an interactive virtual learning environment with reality abstraction models when teaching the structure, operation, and control of a large-scale complex system. The creation of a virtual model enables a modern digital enterprise to be brought into the classroom. This allows for learning that is complementary to experiential learning that occurs during an internship and, possibly, a viable alternative when internships are unavailable or come later in a curriculum path. Once developed, a library of models representing different digital enterprise types can be used to accelerate student enterprise cybersecurity education in a controlled classroom environment. During the presentation, the authors will provide an update on the use of model-based system engineering practices and how they are being integrated into IVLE4C for developing a tailored, enterprise risk management strategy. This approach is consistent with guidance provided in the NIST Cybersecurity Framework. Research shows model-based systems engineering is increasingly being used for developing engineered cybersecurity solutions. An example of this is research performed by Robles-Ramirez et.al. (2020) on the application of model-based Cybersecurity Engineering for Connected and Automated Vehicles. Key is the notion of turning a cyber-attack surface into a trust boundary at targeted levels. IVLE4C version 1.0 is currently being used to teach Cyber Supply Chain Security at UNCW. Version 2.0 is a dynamic data driven web application, that is being developed for teaching Enterprise Security