Humanitarian relief supply chain performance evaluation by a SCOR based Trapezoidal type-2 fuzzy multi-criteria decision making methodology: An application to Turkey

Document Type : Article


Department of Industrial Engineering, Yildiz Technical University, 34349 Istanbul, Turkey


Determining the most important criteria to evaluate Humanitarian Relief Supply Chain (HRSC) performance is aimed in this study. For this purpose, Supply Chain Operations Reference (SCOR) model is adapted to HRSC. A trapezoidal type-2 fuzzy Analytic Hierarchy Process (T2F-AHP) methodology is proposed to evaluate the criteria influencing the performance of the HRSC, and also evaluate different Non-Governmental Organizations’ performances operating in Turkey as a real case study. Results of this methodology is aimed to be used by both governmental and non-governmental organizations to improve their HRSC strategies. Lastly, results are discussed with sensitivity analysis to demonstrate the feasibility and applicability of the proposed methodology.


1. Swamidass, P.M., Ed., "Seven rights of logistics", In Encyclopedia of Production and Manufacturing Management, Springer, US, Boston, MA, p. 684 (2000).
2. Beamon, B.M. and Balcik, B. "Performance measurement in humanitarian relief chains", Int. J. Public Sect. Manag., 21(1), pp. 4-25 (2008).
3. Mentzer, J.T., DeWitt, W., Keebler, J.S., et al. "Defining supply chain management", J. Bus. Logist., 22(2), pp. 1-25 (2001).
4. Chandraprakaikul, W. "Humanitarian supply chain management: literature review and future research", 2nd Int. Conf. Logist. Transp. Queenst (2010).
5. Ergun, O., Karakus, G., Keskinocak, P., et al. "Humanitarian supply chain management-an overview", Dagstuhl Semin. Proc., Schloss Dagstuhl-Leibniz- Zentrum fur Informatik (2009).
6. Van Wassenhove, L.N. "Blackett memorial lecture humanitarian aid logistics: Supply chain management in high gear", J. Oper. Res. Soc., 57(5), pp. 475-489 (2006).
7. Oloruntoba, R. and Gray, R. "Humanitarian aid: An agile supply chain?", Supply Chain Manag., 11(2), pp. 115-120 (2006).
8. Sheu, J.B. "Challenges of emergency logistics management", Transp. Res. Part E Logist. Transp. Rev., 43(6), pp. 655-659 (2007).
9. Ge, Y., Gu, Y., and Deng, W. "Evaluating china's national post-disaster plans: The 2008 Wenchuan Earthquake's recovery and reconstruction planning", Int. J. Disaster Risk Sci., 1(2), pp. 17-27 (2010).
10. Khan, F.A. and Salman, A. "A simple human vulnerability index to climate change hazards for Pakistan", Int. J. Disaster Risk Sci., 3(3), pp. 163-176 (2012).
11.  Ozdamar, L. and Demir, O. "A hierarchical clustering and routing procedure for large scale disaster relief logistics planning", Transp. Res. Part E Logist. Transp. Rev., 48(3), pp. 591-602 (2012).
12. Alexander, B., Cox, L.J., and Mochizuki, J. "Integrated risk identification, analysis, and assessment: A dynamic household economy analysis methodology and example", Int. J. Disaster Risk Sci., 4(2), pp. 77-88 (2013).
13. Wang, H., Du, L., and Ma, S. "Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake", Transp. Res. Part E Logist. Transp. Rev., 69, pp. 160-179 (2014).
14. Liu, M., Cao, J., Liang, J., et al. "Logistics planning for hospital pharmacy trusteeship under a hybrid of uncertainties", In Epidemic-Logistics Modeling: A New Perspective on Operations Research, Springer Singapore, pp. 189-213 (2020).
15. Singh, A., Shukla, N., and Mishra, N. "Social media data analytics to improve supply chain management in food industries", Transp. Res. Part E Logist. Transp. Rev., 114, pp. 398-415 (2018).
16. Gharib, Z., Bozorgi-Amiri, A., Tavakkoli-Moghaddam, R., et al. "A cluster-based emergency vehicle routing problem in disaster with reliability", Sci. Iran., 25(4), pp. 2312-2330 (2018).
17. Balcik, B. and Beamon, B.M. "Facility location in humanitarian relief", Int. J. Logist. Res. Appl., 11(2), pp. 101-121 (2008).
18. Tatham, P. and Kovacs, G. "The application of 'swift trust' to humanitarian logistics", Int. J. Prod. Econ., 126(1), pp. 35-45 (2010).
19. Blecken, A. "Supply chain process modelling for humanitarian organizations", Int. J. Phys. Distrib. Logist. Manag., 40(8), pp. 675-692 (2010).
20. Van Der Laan, E.A., De Brito, M.P., and Vergunst, D.A. "Performance measurement in humanitarian supply chains", Int. J. Risk Assess. Manag., 13(1), pp. 22-45 (2009).
21. Kabra, G. and Ramesh, A. "Analyzing drivers and barriers of coordination in humanitarian supply chain management under fuzzy environment", Benchmarking, 22(4), pp. 559-587 (2015).
22. Anjomshoae, A., Hassan, A., Kunz, N., et al. "Toward a dynamic balanced scorecard model for humanitarian relief organizations' performance management", J. Humanit. Logist. Supply Chain Manag., 7(2), pp. 194-218 (2017).
23. Lu, Q., Goh, M., and De Souza, R. "A SCOR framework to measure logistics performance of humanitarian organizations", J. Humanit. Logist. Supply Chain Manag., 6(2), pp. 222-239 (2016).
24. Laguna-Salvado, L., Lauras, M., Okongwu, U., et al. "A multicriteria master planning DSS for a sustainable humanitarian supply chain", Ann. Oper. Res., 283(1- 2), pp. 1303|1343 (2019).
25. Roh, S.Y., Jang, H.M., and Han, C.H. "Warehouse location decision factors in humanitarian relief logistics", Asian J. Shipp. Logist., 29(1), pp. 103-120 (2013).
26. Drakaki, M., Goren, H.G., and Tzionas, P. "An intelligent multi-agent based decision support system for refugee settlement siting", Int. J. Disaster Risk Reduct., 31, pp. 576-588 (2018).
27. Lockamy, A. and McCormack, K. "Linking SCOR planning practices to supply chain performance: An exploratory study", Int. J. Oper. Prod. Manag., 24(12), pp. 1192-1218 (2004).
28. Supply Chain Council, Supply Chain Operations Reference Model Version 10.0 (2010).
29. Gumus, A.T. "Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology", Expert Syst. Appl., 36(2 PART 2), pp. 4067-4074 (2009).
30. Hartman, A. "Reaching consensus using the Delphi technique.", Educ. Leadersh., 38(6), pp. 495-97 (1981).
31. Sung, W.C. "Application of Delphi method, a qualitative and quantitative analysis, to the healthcare management", J. Healthc. Manag., 2(2), pp. 11-19 (2001).
32. Chang, C.W., Wu, C.R., and Chen, H.C. "Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP", Expert Syst. Appl., 34(3), pp. 2210-2220 (2008).
33. Hsu, P.F., Wu, C.R., and Li, Y.T. "Selection of infectious medical waste disposal firms by using the analytic hierarchy process and sensitivity analysis", Waste Manag., 28(8), pp. 1386-1394 (2008).
34. Robbins, S., Management, Prentice hall (1994).
35. Myers, J.H. and Alpert, M.I. "Determinant buying attitudes: Meaning and measurement", J. Mark., 32(4 part 1), pp. 13-20 (1968).
36. Saaty, T.L. "A scaling method for priorities in hierarchical structures", J. Math. Psychol., 15(3), pp. 234- 281 (1977).
37. Saaty, T.L. "How to handle dependence with the analytic hierarchy process", Math. Model., 9(3-5), pp. 369-376 (1987).
38. Ayyildiz, E. and Taskin Gumus, A. "A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for _Istanbul", Environ. Sci. Pollut. Res., 27(29), pp. 36109-36120 (2020).
39. Yildiz, A., Ayyildiz, E., Taskin Gumus, A., et al. "A modified balanced scorecard based hybrid Pythagorean fuzzy AHP-topsis methodology for ATM site selection problem", Int. J. Inf. Technol. Decis. Mak., 19(02), pp. 365-384 (2020).
40. Zadeh, L.A. "Fuzzy sets", Inf. Control, 8(3), pp. 338- 353 (1965).
41. Wang, J.Q., Peng, J.J., Zhang, H.Y., et al. "An uncertain linguistic multi-criteria group decision-making method based on a cloud model", Gr. Decis. Negot., 24(1), pp. 171-192 (2015).
42. Bonissone, P.P. and Decker, K.S. "Selecting uncertainty calculi and granularity: An experiment in trading-off precision and complexity", In Machine Intelligence and Pattern Recognition, North-Holland, 4(C), pp. 217-247, January 1 (1986).
43. Wu, J.Y., Van Brunt, V., Zhang, W.R., et al. "Tower packing evaluation using linguistic variables", Comput. Math. with Appl., 15(10), pp. 863-869 (1988).
44. Dadone, P. and Vanlandingham, H.F. "Load transfer control for a gantry crane with arbitrary delay constraints", J. Vib. Control, 8(2), pp. 135-158 (2002).
45. Ayyildiz, E., Taskin Gumus, A., and Erkan, M. "Individual credit ranking by an integrated interval type-2 trapezoidal fuzzy electre methodology", Soft Comput , 24, pp. 16149-16163 (2020).
46. C elik, E., Taskin Gumus, A., and Alegoz, M. "A trapezoidal type-2 fuzzy MCDM method to identify and evaluate critical success factors for humanitarian relief logistics management", J. Intell. Fuzzy Syst., 27(6), pp. 2847-2855 (2014).
47. Alegoz, M. and Yapicioglu, H. "Supplier selection and order allocation decisions under quantity discount and fast service options", Sustain. Prod. Consum., 18, pp. 179-189 (2019).
48. Yildiz, A., Ayyildiz, E., Taskin Gumus, A., et al. "A framework to prioritize the public expectations from water treatment plants based on trapezoidal Type-2 fuzzy Ahp method", Environ. Manage, 67, pp. 439- 448 (2021).
49. Abbasimehr, H. and Tarokh, M.J. "A novel interval type-2 fuzzy AHP-TOPSIS approach for ranking reviewers in online communities", Sci. Iran., 23(5), pp. 2355-2373 (2016).
50. Sadi-Nezhad, S. and Damghani, K.K. "Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performance", Appl. Soft Comput. J., 10(4), pp. 1028-1039 (2010).
51. Sari, I.U., Behret, H., and Kahraman, C. "Risk governance of urban rail systems using fuzzy AHP: The case of Istanbul", Int. J. Uncertainty, Fuzziness Knowledge- Based Syst., World Scientific Publishing Company, pp. 67-79 (2012).
52. Kahraman, C., Sar, _I.U., and Turanoglu, E. "Fuzzy analytic hierarchy process with Type-2 fuzzy sets", In Uncertainty Modeling in Knowledge Engineering and Decision Making, pp. 201-206 (October 2012).
53. Wang, Y.J. "A fuzzy multi-criteria decision-making model based on simple additive weighting method and relative preference relation", Appl. Soft Comput. J., 30, pp. 412-420 (2015).
54. Zandi, F. "A bi-level interactive decision support framework to identify data mining-oriented electronic health record architectures", Appl. Soft Comput. J., 18, pp. 136-145 (2014).
55. Sadeghi, J. and Niaki, S.T.A. "Two parameter tuned multi-objective evolutionary algorithms for a bi-objective vendor managed inventory model with trapezoidal fuzzy demand", Appl. Soft Comput. J., 30, pp. 567-576 (2015).
56. Goyal, R.K., Kaushal, S., and Sangaiah, A.K. "The utility based non-linear fuzzy AHP optimization model for network selection in heterogeneous wireless networks", Appl. Soft Comput. J., 67, pp. 800-811 (2018).
57. Kahraman, C.,  Oztaysi, B., and Cevik Onar, S. "An integrated intuitionistic fuzzy AHP and TOPSIS approach to evaluation of outsource manufacturers", J. Intell. Syst., 29(1), pp. 283-297 (2020).
58. Zare Mehrjerdi, Y. "Strategic system selection with linguistic preferences and grey information using MCDM", Appl. Soft Comput. J., 18, pp. 323-337 (2014).