Many manufacturing enterprises, especially some large state-owned manufacturing enterprises, have a certain amount of logistics capacity. However, when these enterprises want to outsource their logistics, they will face to a big problem: How to deal with the logistics equipment and personnel? This will produce switching costs. This paper defines the switching costs of logistics outsourcing as the costs occurs when the enterprises want to change their logistics strategy from self-support to outsourcing, and establishes a two-dimensional decision-making model of logistics outsourcing on the basis of the Bruce's model by adding the switching costs. The conclusion is that manufacturers can not make decision only based on whether they can get profit from outsourcing, but also should consider whether the size of the income can offset the switching cost in the benchmark investment recovery period. This paper also found that the impact factors of the investment recovery period of switching cost: the cooperation efficiency of manufacturing enterprise and third-party logistics enterprise, the time needed to get to the stable stage, as well as asset specificity.
Logistics Outsourcing Decision-Making of Manufacturing Enterprise Considering the Switching Costs
Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China
2009-07-29
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Highways and roads , Information technology (IT) , Transportation management , Construction , Freight transportation , China , Logistics , Decision making , Investments , Water transportation , Industries , Air transportation , Rail transportation , Optimization , Public transportation , Traffic management
Logistics Outsourcing Decision-Making of Manufacturing Enterprise Considering the Switching Costs
British Library Conference Proceedings | 2009
|Production Scheduling considering Outsourcing Options and Carrier Costs
DOAJ | 2020
|Outsourcing Decision Making in Public Organizations
Transportation Research Record | 2010
|