Using the Modelling and Simulation Techniques to Improve the Management of SMEs Belonging to Regional Clusters

• Authors: Mihail Țîțu , Constantin Oprean , Claudiu Pîrnau , Ștefan Țîțu
• Languages of publication: EN

Abstracts

EN

The efficiency of exploiting the software takes on new dimensions under the conditions of integrated exploitation at the level of process and structural organization of SMEs found within the regional strategic alliances. The modeling and simulation of the leadership and regulation processes of the supply, sales and production flows imply a complex display of forces between the different partners of the logistic chain which can be supported by the existence of some data bases developed based on information partnership whose purpose is to counterattack the communication barriers and to ensure a flow and flexibility of the entire logistic flow. The modeling and simulation of the non-industrial processes can lead to the increase of the efficient development of the rural areas and small urban areas through agro-tourism, combining elements that are specific to some fields such as agriculture, ecology, merchandise/people transportation and tourism.

Keywords

EN

Cluster; Modeling and simulation; Network; Databases; Eco-Bio-Economy; Logistics

• Publisher: Sciendo
• Journal: Management of Sustainable Development
• Year: 2015
• Volume: 7
• Issue: 2
• Pages: 17-21

Dates

published

2015-12-01

online

2016-02-12

Contributors

author

Mihail Țîțu

• “Lucian Blaga” University of Sibiu, Romania

author

Constantin Oprean

• “Lucian Blaga” University of Sibiu, Romania

author

Claudiu Pîrnau

• The University of South East Europe Lumina Bucharest, Romania

author

Ștefan Țîțu

• “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj Napoca, Romania

References

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• 2. Țîțu, M.A. Pîrnau, C. Pîrnau, M. Creativity, education and quality for sustainable development, the real support for the Innovative Cluster’s European Network, 8th Research/Expert Conference with International Participations „Quality 2013”, Neum, Bosnia & Herzegovina, June, (2013).
• 3. Szabo, L. Modelarea sistemelor electromecanice, Universitatea Tehnică din Cluj-Napoca, 2006 Modelling the electro-mechanical systems, Technical University of Cluj-Napoca, (2006).
• 4. Aalst, W.M.P. Voorhoeve, M. Business Process Simulation, Lecture notes 2II75, Techical University Eindhoven, Netherlands, (2008).
• 5. www.arenasolutions.com
• 6. Comşa, D. Bogdan, Al. T. Eco-Bio-Diplomaţia, Academia de Ştiinţe Agricole şi Silvice din România, Bucureşti, 2011 The Eco-Bio-Diplomacy, The Academy for Agricultural and Forestry Sciences in Romania, Bucharest, (2011).
• 7. Pîrnau, M. General information on the deposits of data, components of business intelligence and data mining technology, Proceedings of the XXIII Miro CAD, International Scientific Conference, University of Miskolc, section Mathematics and Computer Science, ISBN:978-963-661-866-7, 978-963-661-872, (2009).

Identifiers

DOI

10.1515/msd-2015-0025