Abstract
In this paper, resource flow variables are extracted from the internal structural features of the logistics distribution process and a new method for optimizing the internal structure of the logistics distribution system by using the characteristic state space is proposed. The characteristic state equation is constructed to represent the input and output resources of each basic logistics activity. The basic logistics activity equation is iterated according to the resource flow, and the implementation of the basic logistics process is visually and quantitatively expressed in the form of the characteristic state matrix. According to the nature of the characteristic state space, the optimization problem of the logistics distribution system is transformed into a critical path-planning problem, the gradient calculation of the objective function is solved, and an improved genetic algorithm is proposed. This accelerates the convergence speed of the algorithm and reduces the running time of the optimization process. Taking a listed logistics distribution enterprise as an example, the optimization algorithm is verified, which proves the advantages of the algorithm and provides a new method and theoretical basis for the analysis and optimization of the logistics distribution system.
Highlights
Background and Basic DataWe take a modern pharmaceutical logistics center at a listed pharmaceutical company as an example. e logistics center distributes medicines according to the order and extracts the logistics and distribution data of the enterprise from January to December 2018 in the logistics management system. ere are two types of objects expressed as object series 1 and series 2
In the actual logistics distribution process, each distribution process for each object requires a basic logistics processing activity. erefore, the overall logistics distribution process for multiple items and multiple batch operations in a period is composed of multiple basic logistics activities. en, it is necessary to further discuss the relationship between the articulated form of basic logistics activities and the operational equations of characteristic state equations
Erefore, any state in a multistage complex logistics distribution process can be mapped to a point in the feature state space C since any basic logistics activity can be regarded as a transition between an input state and an output state. erefore, the basic logistics activities are mapped to the directed line segments between the two points in the feature state space C
Summary
In the actual logistics distribution process, each distribution process for each object requires a basic logistics processing activity. erefore, the overall logistics distribution process for multiple items and multiple batch operations in a period is composed of multiple basic logistics activities. en, it is necessary to further discuss the relationship between the articulated form of basic logistics activities and the operational equations of characteristic state equations. Erefore, the overall logistics distribution process for multiple items and multiple batch operations in a period is composed of multiple basic logistics activities. E start time, number of items, and logistics cost of Activity 2 are affected by the completion time, shipment quantity, and distribution cost of Activity 1. E above relationship can be expressed as a transformation relationship H between the input feature state vector xi[2] of the Activity 2 and the output feature state vector xo[1] of the Activity 1; it is shown, with the characteristic state equation given as xi[2 ] Hxo[1]. Change in the physical quantity value and 0 indicates that there is no association relationship between the feature variables
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