Determining the Strategies on Turkish Automotive Sector Using Fuzzy AHP Based on the SWOT Analysis

Year 2018, Volume: 22 Issue: 5, 1314 - 1325, 01.10.2018

Buket Karatop , Cemalettin Kubat , Özer Uygun

https://doi.org/10.16984/saufenbilder.298875

Cited By: 6

Abstract

In order to outmaneuver
increasing competition, organizations must plan their strategies for managing
the future. Yet, planning is not solely adequate. It is important to ensure the
sustainability of feasible plans which are supported by performance
evaluations, and to focus on strategies that which pay attention to demands and
expectations of stakeholders.   

The most prominent features of
the real-life problems are multiple criteria, complexity and uncertainty.
Benefiting from expert and stakeholder views help to reach optimal solutions of
those problems. Taking advantage of artificial intelligence techniques would
also contribute to the achievement of optimal results.

Strategy Focused Model (SFM)
aims to provide the most optimal possible solutions to real-life problems that
require multi-criteria decision making. In SFM, the views of stakeholders and
strategists are input into the decision making process. The main criteria of a
problem establish the mainframe of the model, and these criteria are utilized
in SWOT analysis. Hence, SWOT analysis is developed to Sectional SWOT analysis
(SSWOT) and become more effective in determining strategies. SFM suggests the
use of SSWOT analysis. The model requires to determine the weights of criteria
and sub-criteria as well as the weights of stakeholders’ and strategists’
views. Thereafter, those weights enter into the decision making process.
Although there are various methods to calculate those weights, Fuzzy Analytic
Hierarchy Process (FAHP) is the one used in this study. For Turkish branded
automobile production, SFM is applied and results are obtained and discussed.

Keywords

Strategy Focused Model, Sectional SWOT (SSWOT), FAHP, Turkish automotive sector

References

• [1] T. Akgemici, H.K. Güleş, (2010), İşletmelerde Stratejik Yönetim, ISBN: 978-605-5804-25-1, Gazi Kitabevi, Ankara.
• [2] H. Ülgen, S.K. Mirze,(2004), İşletmelerde Stratejik Yönetim, ISBN: 975-04-0251-0, Literatür Yayıncılık.
• [3] S. Ghazinoory, A. Esmailzadeh, A. Memariani, (2007), Fuzzy SWOT Analysis, Jounal of Intelligent & Fuzzy Systems 18, pp. 99-108.
• [4] H. Hossein-Nasab, A. Hossein-Nasab and A.S. Milani, (2011), Coping With Imprecision in Strategic Planning: A Case Study Using Fuzzy SWOT Analysis, iBusiness, 3, pp. 23-29.
• [5] S. H. Amin, J. Razmi, G. Zhang (2011), Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming, Expert Systems with Applications 38, pp.334-342.
• [6] G. Houben, K. Lenie, K. Vanhoof (1999), A knowledge-based SWOT- analyses as an instrument for strategic planning in small and medium sized enterprises, Decision Support Systems 26, p.p. 125-135
• [7]L. Kuo-Liang, L. Shu-Chen, (2008), A Fuzzy Quantified SWOT Procedure For Environmental Evaluation Of An International Distribution Center, Information Science 178, pp. 531-549.
• [8] A.S. Kheirkhah, A. Esmailzadeh, S. Ghazinoory, (2009), Developing Strategies To Reduce The Risk Of Hazardous Matarials Transportation In Iran Using The Method Of Fuzzy SWOT Analysıs, Transport 24(4), pp. 325-332.
• [9] M. Ghorbani, R. Velayati, M.M. Ghorbani, (2011), Using Fuzzy TOPSIS to Determine Strategy Priorities by SWOT Analysis, International Conference on Financial Management and Economics IPEDR vol.11, pp.135-139
• [10] C. Kubat, A. Kiraz.,M.B. Erdem, (2010), Long Term Goal Selection For Intelligent Strategic Planning By Using Fuzzy Topsis Method, IMS, Sarajevo, Bosnia Herzengovina.
• [11] M. Sevkli, A. Öztekin, Ö. Uysal, G. Torlak, A. Türkyılmaz, D. Delen, (2011), Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey, Expert Systems with Applications 39, pp 14-24.
• [12] K.K. Pochampally, S.M. Gupta, (2008), A Multiphase Fuzzy Logic Approach To Strategic Planning Of A Reverse Supply Chain Network, IEEE Transactions On Electronics Packaging Manufacturing 31, pp 72-82.
• [13] M. Kurtilla, M. Pesonen, J. Kangas, M. Kajanus, (2000), Utilizing The Analytic Hierarchy Process (AHP) In SWOT Analysis- A Hybrid Method And Its Application To A Forest –Certification Case, Forest Policy And Economics 1, pp 41-52.
• [14] H.F. Wang, W.Y. Chang, (2001), Fuzzy Scenario Analysis in Strategic Planning, International Journal of General Systems, 30(2), pp. 193-207.
• [15] TÜBİTAK, Ulusal Bilim ve Teknoloji Politikaları, 2003-2023 Strateji Belgesi, (Versiyon 19 [2 Kasım 2004])
• [16] Republic of Turkey Prime Ministry Investment Support and Promotion Agency, Deloitte, "Turkish Automotive Sector Report ", Ağustos 2010.
• [17] Republic of Turkey Prime Ministry of Science Industry and Technology, Sanayi Genel Müdürlüğü, "Automotive Industry Report”, (2013/2)", Sektörel Raporlar ve Analizler Serisi.
• [18] Republic of Turkey Prime Ministry of Economi, İhracat Genel Müdürlüğü, Automotive and Supply Industry report, 2012.
• [19] Republic of Turkey Prime Ministry of Science Industry and Technology,2012 Performance Program.
• [20] DPT Ninth Development Plan (2007-2013) Otomotiv Sanayi Özel İhtisas Raporu, 2007, Ankara