IJE TRANSACTIONS B: Applications Vol. 31, No. 2 (February 2018) 374-381   

PDF URL: http://www.ije.ir/Vol31/No2/B/23-2705.pdf  
downloaded Downloaded: 40   viewed Viewed: 731

M. Sadat Rezaee, A. Haeri and S. Noori
( Received: July 09, 2017 – Accepted in Revised Form: October 12, 2017 )

Abstract    Vendors play a key role in their company's success, so having a vendor's performance evaluation system in order to identify strengths, areas of improvement and profitability in any company is essential. In this paper, first data envelopment analysis (DEA) which is a technique to evaluate the performance of decision-making units (DMUs) is studied. Then the efficiency scores of 66 automotive vendors based on the DEA (CCR) are calculated using Lingo software. Then, based on the efficiency scores of each vendor, improvement plan with the help of the dual DEA model is presented to increase efficiency scores of inefficient vendors. Finally, it will be clear that each inefficient vendor for improving the inefficiency should focus on which of the factors.


Keywords    Data envelopment analysis, Efficiency score, Decision making units (DMU), the dual DEA model, Improvement plan, automotive industry


چکیده    از آنجا که فروشندگان نقش کلیدی در موفقیت شرکت خود دارند بنابراین داشتن یک سیستم ارزیابی عملکرد فروشندگان به منظور شناخت نقاط قوت، حوزه­های نیازمند بهبود و ایجاد سودآوری در هر شرکتی ضروری میباشد. از اینرو در این مقاله ابتدا تکنیک تحلیل پوششی داده­ها (DEA) که یک روش مناسب برای ارزیابی عملکرد واحدهای تصمیم­گیرنده (DMUs) است، مورد بررسی قرار میگیرد و سپس امتیازات کارایی 66 فروشنده خودرو، بر اساس مدل DEA (CCR) در نرم افزارLingo محاسبه میشود. در آخر با توجه به امتیازات کارایی کسب شده برای هر فروشنده، برنامه بهبود توسط مدل دوگان DEA به منظور افزایش امتیازات کارایی فروشندگان ناکارا ارائه میشود و همچنین مشخص میشود که هر فروشنده ناکارا به منظور بهبود ناکارایی باید بیشتر روی کدام یک از معیارها تمرکز کند.


1.      Yadav, O.P. and Goel, P.S., "Customer satisfaction driven quality improvement target planning for product development in automotive industry", International Journal of Production Economics,  Vol. 113, No. 2, (2008), 997-1011.

2.      Ibusuki, U. and Kaminski, P.C., "Product development process with focus on value engineering and target-costing: A case study in an automotive company", International Journal of Production Economics,  Vol. 105, No. 2, (2007), 459-474.

3.      Heuvel, J., Does, R. and Bisgaard, S., "Dutch hospital implements six sigma", in Six Sigma Forum Magazine. Vol. 4, No. Issue, (2005), 11-14.

4.      Thompson, R.G., Dharmapala, P., Rothenberg, L.J. and Thrall, R.M., "Dea/ar efficiency and profitability of 14 major oil companies in us exploration and production", Computers & Operations Research,  Vol. 23, No. 4, (1996), 357-373.

5.      Nepal, B., Yadav, O.P. and Murat, A., "A fuzzy-ahp approach to prioritization of cs attributes in target planning for automotive product development", Expert Systems with Applications,  Vol. 37, No. 10, (2010), 6775-6786.

6.      Aggogeri, F. and Gentili, E., "Six sigma methodology: An effective tool for quality management", International Journal of Manufacturing Technology and Management,  Vol. 14, No. 3-4, (2008), 289-298.

7.      Rezaee, M.J. and Ghanbarpour, T., "Energy resources consumption performance in iranian manufacturing industries by using cost/revenue efficiency model", International Journal of Engineering- TRANSACTIONS C: Aspects,  Vol. 29, No. 9, (2016), 1282-1291.

8.      Torabi, S. and Shokr, I., "A common weight data envelopment analysis approach for material selection", International Journal of Engineering-Transactions C: Aspects,  Vol. 28, No. 6, (2015), 913-921.

9.      Sadjadi, S. and Bayati, M.F., "Two-tier supplier base efficiency evaluation via network dea: A game theory approach", International Journal of Engineering-Transactions A: Basics,  Vol. 29, No. 7, (2016), 931-938.

10.    Wu, J., Chu, J., Sun, J. and Zhu, Q., "Dea cross-efficiency evaluation based on pareto improvement", European Journal of Operational Research,  Vol. 248, No. 2, (2016), 571-579.

11.    Lijó, L., Lorenzo-Toja, Y., González-García, S., Bacenetti, J., Negri, M. and Moreira, M.T., "Eco-efficiency assessment of farm-scaled biogas plants", Bioresource Technology,  Vol. 237, No., (2017), 146-155.

12.    Kourtit, K., Suzuki, S. and Nijkamp, P., "Tracing high-sustainability performers among world cities-design and application of a multi-temporal data envelopment analysis", Habitat International,  Vol. 68, No., (2017), 43-54.

13.    Yousefi, S., Soltani, R., Saen, R.F. and Pishvaee, M.S., "A robust fuzzy possibilistic programming for a new network gp-dea model to evaluate sustainable supply chains", Journal of Cleaner Production,  Vol. 166, No., (2017), 537-549.

14.    He, F., Xu, X., Chen, R. and Zhu, L., "Interval efficiency improvement in dea by using ideal points", Measurement,  Vol. 87, No., (2016), 138-145.

15.    Motlagh, S.M.H., Behzadian, M., Ignatius, J., Goh, M., Sepehri, M.M. and Hua, T.K., "Fuzzy promethee gdss for technical requirements ranking in hoq", The International Journal of Advanced Manufacturing Technology,  Vol. 76, No. 9-12, (2015), 1993-2002.

16.    Nematollahi, M., Hosseini-Motlagh, S.-M. and Heydari, J., "Coordination of social responsibility and order quantity in a two-echelon supply chain: A collaborative decision-making perspective", International Journal of Production Economics,  Vol. 184, No., (2017), 107-121.

17.    Nematollahi, M., Hosseini-Motlagh, S.-M. and Heydari, J., "Economic and social collaborative decision-making on visit interval and service level in a two-echelon pharmaceutical supply chain", Journal of Cleaner Production,  Vol. 142, No., (2017), 3956-3969.

18.    Amin, G.R. and Toloo, M., "A polynomial-time algorithm for finding ε in dea models", Computers & operations research,  Vol. 31, No. 5, (2004), 803-805.

19.             Toloo, M. and Ertay, T., "The most cost efficient automotive vendor with price uncertainty: A new dea approach", Measurement,  Vol. 52, No., (2014), 135-144.

Download PDF 

International Journal of Engineering
E-mail: office@ije.ir
Web Site: http://www.ije.ir