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Growing Science » Decision Science Letters » Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains

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Decision Science Letters
ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 5 Issue 3 pp. 431-446, 2016

Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains Pages 431-446 Right click to download the paper Download PDF

Authors: Richard Nyaoga, Peterson Magutu, Mingzheng Wang

📋 Author Affiliations:
R. Nyaoga1, P. Magutu ORCID 2, M. Wang ORCID 3
1 Department of Accounting, Finance and Management Science, Egerton University, Kenya
2 School of Business, Department of Management Science, University of Nairobi, Nairobi, Kenya
3 School of Management Science and Engineering, Dalian University of Technology, China
doi 10.5267/j.dsl.2016.1.002
32 Source: Scopus
Crossref 32 Source: CrossRef

🔑 Keywords: Grey theory, Multi-criteria decision making (MCDM), Theory of Constraints, TOPSIS, Value Chain Performance

Abstract: This study develops an effective method to measure value chain performance and rank them based on qualitative criteria and to determine the ranking order of the various forms of performance under study. This approach integrates the advantage of grey systems theory and TOPSIS to evaluate and rank value chain performance. Grey-TOPSIS approach has been applied to measure and rank the value chain performance of various firms. The results indicate that the proposed model is useful to facilitate multi-criteria decision-making (MCDM) problem under the environment of uncertainty and vagueness. The model also provides an appropriate ranking order based on the available alternatives. The Grey-TOPSIS approach that will be useful to the managers to use for solving the similar type of decision-making problems in their firms in the future has been discussed. Even though, the problem of choosing a suitable performance option is often addressed in practice and research, very few studies are available in the literature of Grey-TOPSIS decision models. Also, Grey-TOPSIS model application in the tea processing firms is non-existence hence this study is the very first to apply this model in evaluating value chain performance in the tea processing firms.

How to cite this paper
APA: Nyaoga, R., Magutu, P & Wang, M. (2016). Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains. Decision Science Letters, 5(3), 431-446.
Chicago/Turabian: Nyaoga, R., Magutu, P & Wang, M. 2016. "Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains." Decision Science Letters 5, no. 3 (2016): 431-446.
AMA: Nyaoga, R., Magutu, P & Wang, M. Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains. Decision Science Letters. 2016;5(3):431-446.

References
Akkoç, S., & Vatansever, K. (2013). Fuzzy Performance Evaluation with AHP and TOPSIS Methods: Evidence from Turkish Banking Sector after the Global Financial Crisis. Eurasian Journal of Business and Economics, 6(11), 53–74.

Akman, G., & Pjgkjn, H. (2013). Evaluating Green Performance of Suppliers via Analytic Network Process and TOPSIS. Journal of Industrial Engineering, 2013, 1–13.

Albertini, E. (2013). Does Environmental Management Improve Financial Performance? A Meta-Analytical Review. Organization & Environment, 26(4), 431–457.

Aliakbarzadeh, A., & Tabriz, A. A. (2014). Performance Evaluation and Ranking the Branches of Bank using FAHP and TOPSIS. International Journal of Academic Research in Business and Social Sciences, 4(12), 199–217.

Bottani, E., & Rizzi, A. (2006). A fuzzy TOPSIS methodology to support outsourcing of logistics services. Supply Chain Management: An International Journal, 11(4), 294–308.

Bulgurcu, B. (Kiran). (2012). Application of TOPSIS Technique for Financial Performance Evaluation of Technology Firms in Istanbul Stock Exchange Market. Procedia - Social and Behavioral Sciences, 62, 1033–1040.

Cao, L., Cheng, Y., Zhang, J., Zhou, X., & Lian, C. (2006). Application of Grey Situation Decision-Making Theory in Site Selection of a Waste Sanitary Landfill. Journal of China University of Mining and Technology, 16(4), 393–398.

Chaharsooghi, S. K., & Ashrafi, M. (2014). Sustainable Supplier Performance Evaluation and Selection with Neofuzzy TOPSIS Method. International Scholarly Notices, 2014, 1–10.

Ertu?rul, I., & Karaka?o?lu, N. (2009). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36(1), 702–715.

Esfandiari, M., & Rizvandi, M. (2014). An application of TOPSIS method for ranking different strategic planning methodology. Management Science Letters, 4(7), 1445–1448.

Golmohammadi, D., & Mellat-Parast, M. (2012). Developing a grey-based decision-making model for supplier selection. International Journal of Production Economics, 137(2), 191–200.

Gonz?lez-Benito, J., & Gonz?lez-Benito, ?. (2006). A review of determinant factors of environmental proactivity. Business Strategy and the Environment, 15, 87–102.

Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–347.

Hwang, C.-L., & Yoon, K. (1981). Multiple attributes decision making methods and applications (1st ed.). Berlin: Springer.

Jadidi, O., Yusuff, R. M., Firouzi, F., & Hong, T. S. (2008). Improvement of a Grey Based Method for supplier selection problem. Journal of Achievement in Materials and Manufacturing Engineering, 31(2), 770–777.

Jahanshahloo, G. R., Lotfi, F. H., & Izadikhah, M. (2006). Extension of the TOPSIS method for decision-making problems with fuzzy data. Applied Mathematics and Computation, 181(2), 1544–1551.

Ji Shukla, O., Soni, G., & Anand, G. (2014). An application of grey based decision making approach for the selection of manufacturing system. Grey Systems: Theory and Application, 4(3), 447–462.

Julong, D. (1982). Control problems of grey system. Syst. Control Lett, 1(5), 288–294.

Julong, D. (1989). Introduction to Grey System Theory. The Journal of Grey System1, 1, 1–24.

Karaveg, C., Thawesaengskulthai, N., & Chandrachai, A. (2015). A combined technique using SEM and TOPSIS for the commercialization capability of R & D project evaluation. Decision Science Letters, 4(3), 379–396.

Karimi, M., Azizi, M., Javanshir, H., & Ghomi Fatemi, S. M. T. (2015). A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Decision Science Letters, 4(3), 349–362.

Kazan, H., & Ozdemir, O. (2014). Financial Performance Assessment of Large Conglomerates Via TOPSIS and CRITIC Methods. International Journal of Management and Sustainability, 3(4), 203–224.

Kia, S., Danaei, A., & Oroei, M. (2014). An application of fuzzy TOPSIS on ranking products: A case study of faucet devices. Decision Science Letters, 3(1), 43–48.

Kung, C. Y., & Wen, K. L. (2007). Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance-A case study of venture capital enterprises in Taiwan. Decision Support Systems, 43(3), 842–852. http://doi.org/10.1016/j.dss.2006.12.012

Kuo, Y., Yang, T., & Huang, G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers and Industrial Engineering, 55(1), 80–93.

Li, G.-D., Yamaguchi, D., & Nagai, M. (2007). A grey-based decision-making approach to the supplier selection problem. Mathematical and Computer Modelling, 46(3-4), 573–581.

Liao, C.-N., & Kao, H.-P. (2011). An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management. Expert Systems with Applications, 38(9), 10803–10811.

Mishra, S., Datta, S., & Mahapatra, S. S. (2013). Grey-based and fuzzy TOPSIS decision-making approach for agility evaluation of mass customization systems. Benchmarking: An International Journal, 20(4), 440–462.

Monjezi, M., Dehghani, H., Singh, T. N., Sayadi, A. R., & Gholinejad, A. (2012). Application of TOPSIS method for selecting the most appropriate blast design. Arabian Journal of Geosciences, 5, 95–101.

?nder, E., Ta?, N., & Hep?en, A. (2010). Performance Evaluation of Turkish Banks Using Analytical Hierarchy Process and TOPSIS method. Journal of International Scientific Publication: Economy & Business, 7(1), 470–503.

Roghanian, E., Sheykhan, A., & Sayyad Abendankashi, E. (2014). An application of fuzzy TOPSIS to improve the process of supply chain management in the food industries: A case study of protein products manufacturing company. Decision Science Letters, 3(1), 17–26.

Rostamzadeh, R., Sabaghi, M., & Esmaili, A. (2013). Evaluation of cost-effectiveness criteria in supply chain management: Case study. Advances in Decision Sciences, 2013(c).

Russo, M. V. (1997). A Resource-Based Perspective on Corporate Environmental Performance and Profitability. Academy of Management Journal, 40(3), 534–559.

Sadeghi, M., & Razavi, S. H. (2013). Application of Grey TOPSIS in Preference Ordering of Action Plans in Balanced Scorecard and Strategy Map. INFORMATICA, 24(4), 619–635.

Shahroudi, K., & Tonekaboni, S. M. S. (2012). Application of TOPSIS Method to Supplier Selection in Iran Auto Supply Chain. Journal of Strategic Management, 12(1), 123–131.

Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling, 45(7-8), 801–813.

Sohani, N., & Sharma, P. (2013). Analyzing the Performance of Supply Chain using TOPSIS. International Journal of Science and Research, 2(4), 221–224.

Sun, C. C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745–7754.

Wang, Y.-M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31(2), 309–319.

Wu, M. (2007). TOPSIS-AHP simulation model and its application to supply chain management?. World Journal of Modelling and Simulation, 3(3), 196–201.

Zaeri, M. S., Sadeghi, A., Naderi, A., & Kalanaki, A. (2011). Application of multi-criteria decision making technique to evaluation suppliers in supply chain management. African Journal of Mathematics and Computer Science Research, 4(3), 100–106.

Zhang, H. (2008). Supply Chain Overall Risk Evaluation Based on Grey Theory and Modified TOPSIS in Fuzzy Environment. 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2, 706–711.

Zhang, J., Wu, D., & Olson, D. L. (2005). The method of grey related analysis to multiple attribute decision making problems with interval numbers. Mathematical and Computer Modelling, 42(9-10), 991–998.
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📚 Journal: Decision Science Letters | 📅 Year: 2016 | 📖 Volume: 5 | 📄 Issue: 3 | 👁️ Views: 3225 | 📊 Crossref: 32

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