This paper considers the supplier investment decision-making problem in a supply chain consisting of an original equipment manufacturer(OEM),a global supplier,and a local supplier.To reduce dependence on global suppli...This paper considers the supplier investment decision-making problem in a supply chain consisting of an original equipment manufacturer(OEM),a global supplier,and a local supplier.To reduce dependence on global suppliers and improve supply stability,we develop a differential game model to investigate the optimal investment decisions of the OEM towards the local supplier under different risk scenarios and the impact of different risks on the optimal decisions.The results show that investment efficiency and risks have a significant impact on OEM investment decisions.Specifically,when the OEM has higher investment efficiency,investing in the local supplier is profitable for the OEM;conversely,when the investment efficiency of the OEM is lower,it does not invest.In addition,an increase in the supply risk of the global supplier will lower the entry threshold for OEM investment,but an increase in the supply risk of the local supplier and the reputational risk of both will increase this threshold,meaning that only the OEM with significantly higher investment efficiency can profit.展开更多
In this paper,we investigate a kind of truck-door assignment problem in a crossdock.Multiple related realistic constraints such as the capacity of trucks,the capacity of temporary storage area,the time windows of truc...In this paper,we investigate a kind of truck-door assignment problem in a crossdock.Multiple related realistic constraints such as the capacity of trucks,the capacity of temporary storage area,the time windows of trucks as well as the operational time inside the crossdock are considered and therefore,make the assignment problem strongly NP-hard and very challenging.A two-stage genetic algorithm is proposed to solve this problem and the experimental results show the superiority of this approach in comparison to CPLEX solver in terms of effectiveness and efficiency especially for the large-scale instances.That is,the decision making process can speed up and a near optimal truck-door assignment scheme can be obtained within a relatively short time by applying this two-stage approach in practice.展开更多
基金supported in part by the National Natural Science Foundation of China(NSFC)under Grant No.72271208the China Postdoctoral Science Foundation under Grant No.2023M741907.
文摘This paper considers the supplier investment decision-making problem in a supply chain consisting of an original equipment manufacturer(OEM),a global supplier,and a local supplier.To reduce dependence on global suppliers and improve supply stability,we develop a differential game model to investigate the optimal investment decisions of the OEM towards the local supplier under different risk scenarios and the impact of different risks on the optimal decisions.The results show that investment efficiency and risks have a significant impact on OEM investment decisions.Specifically,when the OEM has higher investment efficiency,investing in the local supplier is profitable for the OEM;conversely,when the investment efficiency of the OEM is lower,it does not invest.In addition,an increase in the supply risk of the global supplier will lower the entry threshold for OEM investment,but an increase in the supply risk of the local supplier and the reputational risk of both will increase this threshold,meaning that only the OEM with significantly higher investment efficiency can profit.
文摘In this paper,we investigate a kind of truck-door assignment problem in a crossdock.Multiple related realistic constraints such as the capacity of trucks,the capacity of temporary storage area,the time windows of trucks as well as the operational time inside the crossdock are considered and therefore,make the assignment problem strongly NP-hard and very challenging.A two-stage genetic algorithm is proposed to solve this problem and the experimental results show the superiority of this approach in comparison to CPLEX solver in terms of effectiveness and efficiency especially for the large-scale instances.That is,the decision making process can speed up and a near optimal truck-door assignment scheme can be obtained within a relatively short time by applying this two-stage approach in practice.
