Research on Outsourcing or Self-Support Decision-Making of Products Recall Reverse Logistics
To solve the problems of outsourcing or self-support decision-making in the process of products recall, an ANP network graph of products recall reverse logistics decision-making based on Analytic Network Process theory is established; cost of reverse logistics, ability to deal with reverse logistics, risk and organization of reverse logistics could be considered while making outsourcing or self-support decisions about products recall reverse logistics. The outsourcing or self-support decision-making processes which take HP PC recall incident as an example are simulated and sensitively analyzed through Super Decisions software; then weights of factors that influence products recall decision-making are observed. At the same time a quantify thought to solve the decision-making problems about reverse logistics is provided, and it can be useful for enterprises operation. Finally, a further discussion is put forward.
KeywordsProducts recall Outsourcing Self-support Analytic network process
We all thank China National Funds of Social Science for its help. (10GJ451-086).
- 1.Tang ZK (2005) Products recall and reverse logistics. Mod Manag 1:26–29Google Scholar
- 2.Liu PP, Pei BC (2009) Reverse logistics outsourcing risk and theory foundation. Commer Times 8:14–15Google Scholar
- 3.Zhou HX (2008) Transmission cost and logistics outsourcing. Foreign Invest China 8:139Google Scholar
- 4.Yang J, Wang Y (2004) Logistics decision-making considering transmission cost. Commer Econ Manag 150:23–25Google Scholar
- 5.Wang LF (2001) The theory and algorithm of analytic network process. Syst Eng Theory Pract 21:44–50Google Scholar
- 6.Satty TL (2001) Decision making with dependence and feedback: the analytic network process, 2nd edn. RWS Publications, PittsburghGoogle Scholar
- 8.Laura M, Joseph S (1998) Strategic analysis of logistics and supply chain management systems using the analytical network process. Transpn Res-E (Logist Transpn Rev) 34:201–215Google Scholar
- 10.Chen QS (2005) Modern logistics system. China Water Power Press, BeijingGoogle Scholar
- 11.Zhang G (2006) Supply chain revolution in HP. Logist Infor 1:61–63Google Scholar