Strategic Evaluation Pattern for Organization Business

Document Type : Research

Authors

Malek e Ashtar Industrial University.

Abstract

Most organizations in automotive industry and other industries use Quantitative Strategic Planning Matrix (QSPM) to prioritize their strategies. One of the weak points of this method is that it does not involve the inter-relations and correlation among environmental factors.  In this paper, it has been tried to remove this weakness, as well as reprioritization of Nirou Moharrekeh Industrial company’s strategies – a leading company in IRAN-KHODRO supply chain- using analytic network process (ANP). Results show that the prioritization obtained by analytic process network has considerable differences compare with the prioritization resulted by quantitative strategic planning matrix. The reason is that in quantitative strategic planning matrix the inter-relations among criteria are not considered. So, as a main outcome of this research it is recommended that organizations use analytic network process for prioritization of their strategies or validation of the method they used for prioritization of business strategies. Results of Nirou Moharrekeh company’s strategies prioritization using ANP is in this way that the product development such as manual and automatic strategy has the highest priority an production parameter optimization has the lowest priority.

Keywords

References

 
1. اعرابی، سید محمد و خدادادی، عباس. راهنمای برنامه­ریزی استراتژیک (گام به گام) (کتاب انتشار نیافته).
2. عطایی، محمد. (1389). تصمیم­گیری چندمعیاره (چاپ اول). شاهرود: دانشگاه صنعتی.
3. Chung, S. H., Lee, A. H. L., & Pearn, W. L. (2005). Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics 96, 15–36.
4. Fred, R. David. (2010). Strategic Management (13th Edition). Prentice Hall. 14-15.
5. Ihsan Y & Metin D. (2007).Using the analytic network process (ANP) in a SWOT analysis – A case study for a textile firm. Information Sciences 177, 3364–3382.
6. International Organization for Standardization. (2009). ISO 9004: clause 5.2                
7. Lee, J. W. & Kim, S. H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers and Operations Research, 27, 367–382.
8. Meade, L. M. & Sarkis, J. (1998). Strategic analysis of logistics and supply chain management systems using the analytical network process, Transportation Research Part E: Logistics and Transportation Review, 34, 201–215.
9. Michael, Porter. (1998). Competitive Strategy: Techniques for Analyzing Industries and Competitors. The Free Press. p xxvi.
10. Momoh, J. A & Zhu, J. (2003). Optimal generation-scheduling based on AHP/ANP. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 33, 531–535.
11. Partovi, F. Y. (2006). An analytic model for locating facilities strategically. Omega 34(1), 41–55.
12. Robert S. Kaplan & David P. Norton. (2008). The Execution Premium: Linking Strategy to Operations for Competitive Advantage. Harvard Business School Press. 7-8.
13. Saaty, T. L. (1996). Decision making with dependence and feedback: the analytic network process. Pittsburgh, PA: RWS Publications.
14. Saaty, T. L. (2005). Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs, and Risks. Pittsburgh, PA: RWS Publications.
15. Sarkis, J. (2002). A model for strategic supplier selection. Journal of Supply Chain Management, 38, 18–28.
16. Wua, W. W & Lee, Y. T. (2007). Selecting knowledge management strategies by using the analytic network process. Expert Systems with Applications 32, 841–847.
17. Yurdakul, M. (2003). Measuring long-term performance of a manufacturing firm using the analytical network process(ANP) approach. International Journal of Production Research 41, 2501–2529.
 
Journal of Strategic Management Studies
Volume 8, Issue 29
May 2017
Pages 161-143

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History

  • Receive Date: 07 September 2015
  • Revise Date: 03 June 2019
  • Accept Date: 16 June 2016

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