Evaluation of outsourcing companies of waste electrical and electronic equipment recycling

  • S. S. Kara


An increasing number of companies have focused on reducing the amount of waste properly or gaining value from used products. Facilitating the reverse flow of used products from consumers to manufacturers is a difficult and expensive process depending on the product and transportation type and distance. Another alternative is to outsource these activities. Outsourcing management helps companies for better using of time, energy, labor, technology, capital, resources etc. Moreover, working with wrong partners effects manufacturers’ financial and operational situations. In order to get the best services, manufacturers usually invite several outsourcing companies for providing their tenders and then select the best offer. In this stage, using mathematical decision making techniques may help decision makers to get realistic results. In this paper the proposed methodology integrates two multi-criteria decision methods for ranking alternatives. This methodology is applied to a mid-sized firm operating in the field of electrical and electronic equipment. The results indicate that the most important criterion is cost for determining the best alternative. Besides, as it can be seen from the results, the best alternative for the manufacturer is the second alternative. These results propose a guideline for manufacturers for selecting the best alternative. From the results it can easily be seen that this approach shows its potential advantage in selecting suitable alternative due to its sound logic and easily programmable computation procedure.


Electronic recycling Fuzzy analytical hierarchy process Outsourcing management 


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  1. Araz, C.; Ozfirat, P.M.; Ozkarahan, I., (2007). An integrated multicriteria decision-making methodology for outsourcing management. Comput. Oper. Res., 34, 3738–3756 (19 pages).CrossRefGoogle Scholar
  2. Araz, C.; Ozkarahan, I., (2007). Supplier evaluation and management system for strategic sourcing based on a new multi-criteria sorting procedure. Int. J. Prod. Econ., 106, 585–606 (22 pages).CrossRefGoogle Scholar
  3. Bicheldey, T. K.; Latushkina, E., (2010). Biogass emission prognosis at the landfills. Int. J. Environ. Sci. Tech., 7(4), 623–628 (6 pages).Google Scholar
  4. Brans, J. P.; Vincke, B.H.; Mareschal, B., (1986). How to select and how to rank projects: The PROMETHEE method. Eur. J. Oper. Res., 24, 228–238 (11 pages).CrossRefGoogle Scholar
  5. Bozdag, C. E.; Kahraman, C.; Ruan, D., (2003). Fuzzy group decision making for selection among computer integrated manufacturing systems. Comput. Ind., 51(1), 13–29 (17 pages).CrossRefGoogle Scholar
  6. Cao, Q.; Wang, Q., (2007). Optimizing vendor selection in a two-stage outsourcing process. Comput. Oper. Res., 34, 3757–3768 (12 pages).CrossRefGoogle Scholar
  7. Chang, D.Y., (1992). Extent analysis and synthetic decision. Optim. Tech. Appl., 1, 352–355 (26 pages).Google Scholar
  8. Dulmin, R.; Mininno, V., (2003). Supplier selection using a multi-criteria decision aid method. J. Purchasing Sup. Manage., 9(4), 177–187 (11 pages).CrossRefGoogle Scholar
  9. Gottfredson, M.; Puryear, R.; Phillips, S., (2005). Strategic sourcing: from periphery to the core. Harvard Bus. Rev., 83(2), 132–139 (8 pages).Google Scholar
  10. Hsu, C. W.; Hu, A. H., (2008). Green supply chain management in the electronic industry. Int. J. Environ. Sci. Tech., 5(2), 205–216 (12 pages).CrossRefGoogle Scholar
  11. Kapepula, K.; Colson, G.; Sabri, K.; Thonart, P., (2007). A multiple criteria analysis for household solid waste management in the urban community of Dakar. Waste Manage., 27(11), 1690–1705 (16 pages).CrossRefGoogle Scholar
  12. Karamouz, M.; Zahraie, B.; Kerachian, R.; Mahjouri, N.; Moridi, A., (2006). Development of a master plan for industrial solid waste management. Int. J. Environ. Sci. Tech., 3(3), 229–242 (14 pages).CrossRefGoogle Scholar
  13. Karapidakis, E. S.; Tsave, A. A.; Soupios, P. M.; Katsigiannis, Y. A., (2010). Energy efficiency and environmental impact of biogas utilization in landfills. Int. J. Environ. Sci. Tech., 7(3), 599–608 (10 pages).Google Scholar
  14. Kaufmann, A.; Gupta, M.M., (1991). Introduction to fuzzy arithmetic: Theory and applications, New York: Van Nostrand Reinhold.Google Scholar
  15. Kuo, T. C., (2010). The construction of a collaborative-design platform to support waste electrical and electronic equipment recycling., Robotic and Computer-Integrated Manufacturing, 26, 100–108 (9 pages).CrossRefGoogle Scholar
  16. Lin, K. H.; Shih, L. H.; Lee, S. C., (2010). Optimization of product line design for environmentally conscious technologies in notebook industry. Int. J. Environ. Sci. Tech., 7(3), 473–484 (12 pages).Google Scholar
  17. Linder, J. C., (2004). Transformational outsourcing. MIT Sloan. Manage. Rev., 45(2), 52–58 (7 pages).Google Scholar
  18. Liu, R. R.; Tian, Q.; Yang, B.; Chen, J. H., (2010). Hybrid anaerobic baffled reactor for treatment of desizing wastewater. Int. J. Environ. Sci. Tech., 7(1), 111–118 (8 pages).Google Scholar
  19. Mergias, I.; Moustakas, K.; Papadopoulos, A.; Loizidou, M., (2007). Multi-criteria decision aid approach for the selection of the best compromise management scheme for ELVs: The case of Cyprus. J. Hazard. Mater., 147, 706–717 (10 pages).CrossRefGoogle Scholar
  20. Queiruga, D.; Walther, G.; Onzalez-Benito, J.; Pengler, T., (2008). Evaluation of sites for the location of WEEE recycling plants in Spain. Waste Manage., 28(1), 181–190 (10 pages).CrossRefGoogle Scholar
  21. Rousis, K.; Moustakas, K.; Malamis, S.; Papadopoulos, A.; Loizidou M., (2008). Multi-criteria analysis for the determination of the best WEEE management scenario in Cyprus. Waste Manage., 28(10), 1941–1954 (14 pages).CrossRefGoogle Scholar
  22. Salman Mahini, A.; Gholamalifard, M., (2006). Siting MSW landfills with a weighted linear combination methodology in a GIS environment. Int. J. Environ. Sci. Tech., 3(4), 435–445 (11 pages).CrossRefGoogle Scholar
  23. Tuzkaya, G.; Gülsün, B., (2008). Evaluating centralized return centers in a reverse logistics network: An integrated fuzzy multi-criteria decision approach. Int. J. Environ. Sci. Tech., 5(3), 339–352 (14 pages).CrossRefGoogle Scholar
  24. Tuzkaya, U.R., (2009). Evaluating the environmental effects of transportation modes using an integrated methodology and an application. Int. J. Environ. Sci. Tech., 6(2), 277–290 (14 pages).Google Scholar
  25. Tuzkaya, G.; Ozgen, A.; Ozgen, D.; Tuzkaya, U. R., (2009). Environmental performance evaluation of suppliers: A hybrid fuzzy multi-criteria decision approach. Int. J. Environ. Sci. Tech., 6(3), 477–490 (14 pages).Google Scholar
  26. Vego, G.; Kucar-Dragicevic, S.; Koprivanac, N., (2008). Application of multi-criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia. Waste Manage., 28, l292–2201 (10 pages).Google Scholar
  27. Wang, J. J.; Yang, D. L., (2007). Using a hybrid multi-criteria decision aid method for information systems outsourcing. Comput. Oper. Res., 34, 3691–3700 (10 pages).Google Scholar
  28. Yang, D. H.; Kim, S.; Nam, C.; Min, J. W., (2007). Developing a decision model for business process outsourcing. Comput. Oper. Res., 34(12), 3769–3778 (10 pages).CrossRefGoogle Scholar
  29. Zadeh, L. A., (1965). Fuzzy sets. Info. Control, 8, 338–353 (16 pages).CrossRefGoogle Scholar
  30. Zimmermann, H. J., (1991). Fuzzy set theory and its applications, 2nd ed., London: Kluwer Academic Publisher.CrossRefGoogle Scholar

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© Islamic Azad University 2011

Authors and Affiliations

  1. 1.Department of Industrial Engineering, Mechanical FacultyYildiz Technical UniversityIstanbulTurkey

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