Steel product logistics system and scheduling method thereof based on real-time information

Abstract

The invention relates to a scheduling method for steel product logistics based on real-time information. The scheduling method comprises the steps that (1) according to a cargo order, an initial logistics scheduling scheme is made by using a vehicle optimal scheduling mathematic model, and logistics is assigned according to the initial logistics scheduling scheme; (2) dynamic effect information in the delivery way is fed back to a logistics management server by using a vehicle-mounted terminal after delivery is carried out; (3) according to the dynamic effect information, an updated logistics scheduling scheme is generated by using a path updating algorithm, benefit evaluation is carried out on the updated logistics scheduling scheme, whether the logistics scheduling scheme is updated or not is judged according to a benefit evaluation result, the updated logistics scheduling scheme is transmitted to the vehicle-mounted terminal in the delivery way through the logistics management server if the logistics scheduling scheme is updated, and the delivery task is executed continually according to the initial logistics scheduling scheme by the delivery logistics if the updated logistics scheduling scheme is not adopted. The scheduling method has the advantages that data are updated in time, operation efficiency is high, the cost for logistics monitoring is low, and the information between enterprises is integrated and unified.

Description

technical field [0001] The invention relates to a logistics management method and system thereof, in particular to a real-time information-based iron and steel product logistics system and a scheduling method thereof. Background technique [0002] In recent years, the logistics modernization construction of my country's iron and steel product industry has been greatly developed, and the level of automation and informatization has been continuously improved. The focus of industrial logistics information construction is gradually shifting from isolated software and hardware systems to multi-link collaborative management platforms. How to effectively collect, store, and distribute basic data between various links of logistics, how to intelligently analyze and process multi-dimensional data information based on marketing and distribution links, and how to build an expandable logistics business process integration and collaboration platform, these are steel Key and difficult iss...

AI Technical Summary

Problems solved by technology

[0004] 1. The logistics process is composed of multiple business activities such as order processing, sorting, packaging, shipping, and loading and unloading. Due to various conditions such as geographical location and network access, it is difficult to realize real-time monitoring and real-time decision-making;

[0005] 2. Most of the small and medium-sized logistics enterprises are unable to monitor logistics distribution by using technologies such as Global Positioning System (GPS) and Geographic Information System (GIS) due to limitations in capital and technology;

[0006] 3. Due to the autonomy of each enterprise, there are heterogeneous phenomena among the information systems of each enterprise among the software layer, business layer and business process layer. The integration specifications of information systems between enterprises cannot be managed in a unified manner, and networked logistics collaborative management cannot be realized.

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