ALGORITHM AND MODEL FOR KNOWLEDGE CAPITALIZATION IN AUTOMOTIVE RESEARCH AND DEVELOPMENT OFFSHORE BRANCHES

Marius GAL, Claudiu Vasile KIFOR

Abstract


In the Research and Development (R&D) offshore branches, employees with different levels of expertise and knowledge can be found in the newly created teams. The orders coming from the headquarters are usually assigned to the team members without such criteria like complexity of the order, or the expertise of the employee required for that order, the orders being assigned based on their priority, to the employees available at that moment. The results can be, in many cases, exceeded deadlines, low quality of the software products, a high rework rate and a high pressure on employees.  In our attempt to solving this problem, we propose an algorithm for orders allocation based on the order’s priority, complexity and employee’s availability and expertise. The algorithm was tested in a real-life scenario and results are also presented in this paper.


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References


Ruxandra Maria Bejinariu, Conceptual framework of the organizational business processes, Springer Fachmedien Wiesbaden, Print ISBN: 978-3-658-29388-8, Electronic ISBN: 978-3-658-29389-5, https://doi.org/10.1007/978-3-658-29389-5_2, 2020.

Castelli, C., & Castellani, D. The internationalisation of R&D: Sectoral and geographic patterns of cross-border investments. Economia e Politica Industriale - Journal of industrial and business economics, 1, 127–143, 2013. doi:10.3280/POLI2013-001006, 2013

Albertoni, F., & Elia, S., The global sourcing of business services: Evidence from the offshoring research network survey. Economia e Politica Industriale, 41(2), 131–146, 2014.

Davide Castellani, Maria Luisa Mancusi, Grazia D. Santangelo, Antonello Zanfei, Exploring the links between offshoring and innovation. Economia e Politica Industriale, 42(1)1, 1–7, 2015. DOI: 10.1007/s40812-014-0008-8, 2015

Fel Fabienne, Griette Eric. An Analysis of the Off shoring Decision Process: The Influence of the Company's Size, Procedia - Social and Behavioral Sciences, Volume 58, 596-605, https://ac.els-cdn.com/S1877042812044990/1-s2.0-S1877042812044990-main.pdf?_tid=a34cb648-e952-11e7-bc62-00000aab0f6b&acdnat=1514192859_4fdb7b5969afcc8f79396a316a801882, 2012

Christian Kreiner, Richard Messnarz, Andreas Riel, Damjan Ekert, Michael Langgner, Dick Theisens, Michael Reiner, Automotive Knowledge Alliance AQUA – Integrating Automotive SPICE, Six Sigma, and Functional Safety. Publisher: Springer Berlin Heidelberg. DOI https://doi.org/10.1007/978-3-642-39179-8_30 ,2013

Fabio Falcini, Giuseppe Lami, Embracing Software Process Improvement in Automotive Through PISA Model. Springer International Publishing, Print ISBN: 978-3-030-35332-2, Electronic ISBN: 978-3-030-35333-9; DOI https://doi.org/10.1007/978-3-030-35333-9_5 , 2019.

Fajar Ramadhani Mahendrawathi ER, A Conceptual Model for the Use of Social Software in Business Process Management and Knowledge Management. Procedia Computer Science Volume 161, 2019, Pages 1131-1138. https://www.sciencedirect.com/science/article/pii/S1877050919319362 https://doi.org/10.1016/j.procs.2019.11.225 , 2020.

Lewin, A. Y., Massini, S., & Peeters, C. Why are companies offshoring innovation and quest; the emerging global race for talent. Journal of International Business Studies, 40(6), 901–925. DOI:10.1057/jibs.2008.92 , 2009.

Ana Belén Pelegrina, Kawtar Benghazi, María Visitación Hurtado, Manuel Noguera. A Framework for the Semantic Representation of Business Processes within Business Organizational Models, Print ISBN: 978-3-642-15722-6, Electronic ISBN: 978-3-642-15723-3, https://doi.org/10.1007/978-3-642-15723-3_6 , 2010

Marius, G. A. L., & Kifor, C. V., Offshoring for companies specialised in software for automotive. Acta Technica Napocensis-Series: Applied Mathematics, Mechanics, and Engineering, 61(4), 2018.


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