Abstract
In order to improve delivery network efficiency and to solve consumer satisfaction problems, parcel locker location optimisation scheme is proposed based on the delivery demand under the e-commerce environment. In this paper, a bilevel programming (BLP) model is established to identify the optimal location for parcel lockers by considering benefits of consumers and logistics planning departments. The upper-level model is to determine the optimal location by minimising the planners’ cost, and the lower one gives an equilibrium demand distribution by minimising the consumers’ pick-up cost. On the special form of constraints, a bilevel genetic algorithm is proposed based on GIS data and a genetic algorithm. Finally, a numerical example is employed to demonstrate the application of the method, which indicates that the model can solve the problem of parcel locker location.
Highlights
In recent years, the e-commerce market has developed by leaps and bounds, with products ranging from high-value durable goods to low-value consumer goods
Shi et al [4] proposed the use of automatic logistic terminal equipment in a campus express delivery system and verified the implementation feasibility of automatic logistics terminal equipment through qualitative and quantitative analyses. e present research mostly focused on the development status of smart express locker mode, promotion of the mode, and development of countermeasures to problems, while little research focused on parcel locker location
Liu [6] pointed out that the self-service terminal belongs to a special distribution node, and the location of the self-service terminal is essentially a discrete multidistribution node location problem. e parcel locker can be regarded as a type of special self-service terminal. erefore, the parcel locker location is equivalent to a discrete facility location problem
Summary
The e-commerce market has developed by leaps and bounds, with products ranging from high-value durable goods to low-value consumer goods. E location problems of logistics parcel lockers can be represented as a LeaderFollower or Stackelberg game where the decision managers are the leaders, and the consumers are the followers who choose the parcel lockers freely; bilevel programming (BLP) can reflect the interaction among the decision levels in the location of parcel lockers and can solve the contradiction between the goals pursued by enterprises and consumers. It can clearly reflect the real situation on both the supply and demand sides, making the location model a closer fit to reality. Our work is the first attempt to develop a quantitative approach based on GIS data to determine their optimal locations, aimed at solving real-life hierarchical facility location problems
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