Intelligent optimized scheduling system for logistics

A scheduling system and intelligent optimization technology, applied in logistics, instruments, data processing applications, etc., can solve problems such as manual intervention, transportation tool modification, and kickbacks, and achieve the effect of avoiding load imbalance and improving performance

Active Publication Date: 2016-04-20
ANJI AUTOMOTIVE LOGISTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] ①Business scheduling pressure is high
[0009] ②Basic data is not perfect
For the same lighter truck, the transportation company reads the order and reports the stowage plan every time, so the stowage plan is changeable and different each time, which undoubtedly increases duplication of labor
[0011] ③The business process is not standardized
[0012] Irregular business processes are mainly reflected in the modification and overloading of transportation vehicles, and the unclear carpooling rules of different dealers
What's more serious is that there is a problem of manual intervention in the dispatching business, and there are even phenomena such as "eating kickbacks", which affect the company's image and benefits
[0013] ④ Customer satisfaction is not high
[0014] Existing orders have many delivery points and a small delivery volume, which often takes a long time to ship with a full board, resulting in an excessively long order arrival time, which affects the completion rate of OTD and affects customer satisfaction

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] see figure 1 , the present invention discloses a logistics intelligent optimization scheduling system, said logistics intelligent optimization scheduling system includes: a basic data module, an intelligent scheduling module and a kanban management module.

[0077] 【Basic data module】

[0078] The basic data module is composed of eight parts: line management unit, vehicle type management unit, address management unit, carpooling rule unit, scheme design unit, capacity management unit, data dictionary unit, and area management unit.

[0079] The line is the basis for extracting orders, and is a very critical basic object of the entire intelligent dispatching system; the line management unit selects part of the field information in the basic route in the TMS to create a line for generating the dispatching system, and performs deletion, modification, and query operations, and at the same time realizes Multi-line merge function.

[0080]The vehicle type management unit de...

Embodiment 2

[0121] The intelligent scheduling system consists of three modules, namely basic data, intelligent scheduling and Kanban management. The basic data module includes the configuration of eight parts of basic information, such as line information, vehicle model information, address information, carpooling rules, scheme design, and capacity information; the intelligent dispatch module mainly realizes from order extraction to dispatch calculation, and conducts review according to the calculation results. Arrange lanes after success, and finally write back to TMS, a complete intelligent scheduling function; Kanban module management module includes lane check and TMS result query. The result query realizes the order information of the current scheduling status. The specific structure of the system is as figure 2 shown.

[0122] 2.1.1 Basic data module

[0123] The basic data module consists of eight parts: line management, vehicle type management, address management, carpooling r...

Embodiment 3

[0213] The difference between this embodiment and Embodiment 1 is that in this embodiment, the system includes an order grouping module. can refer to figure 2 , Different orders have different priorities according to their effective time, and when orders with different priorities are loaded, the number of carpooling cities and carpooling dealers that affect the results of pallet truck loading will also be quite different. For example, urgent orders can be assembled by multiple dealers in different places, while ordinary orders can only be assembled in the same city, and even require a single order to be full.

[0214] According to this feature, urgent orders (usually orders above t+3, parameters can be modified, t+3 refers to the order level) that can be assembled by multiple dealers and / or in different places can be grouped and calculated first, and the engine can relax the constraints and allow different places Carpooling, the emergency orders are assembled and shipped out...

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PUM

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Abstract

The invention discloses an intelligent optimized scheduling system for logistics. The system is composed of a basic data module, an intelligent scheduling module and a board management module. The basic data module consists of a line management unit, a vehicle type management unit, an address management unit, a car pooling rule unit, a scheme design unit, a transport capacity management unit, a data dictionary unit, and an area management unit. The intelligent scheduling module is used for realizing the complete intelligent scheduling function and is mainly responsible for order extraction and scheduling calculation, carrying out examination on a calculation result, carrying out proper arrangement after successful examination, and writing back to a TMS. The board management module mainly includes an arrangement checking unit and a TMS uploading instruction checking unit; the arrangement checking unit is used for realizing a function of real-time arrangement situation checking of a warehouse in the system; and the TMS uploading instruction checking unit is used for realizing a function of uploading instruction checking. According to the system, the inventory, manpower and transport costs can be lowered; the punctual delivery ratio can be improved; the profitable operation can be realized; and the competitive advantage can be obtained.

Description

technical field [0001] The invention belongs to the technical field of logistics scheduling, and relates to a logistics scheduling system, in particular to an intelligent logistics optimization scheduling system. Background technique [0002] Automobile logistics is a relatively complicated branch of the logistics industry, involving three main links: inbound logistics, in-plant logistics, and out-of-factory logistics. Among them, the problem of factory dispatch and loading caused by long-distance transportation in factory logistics has attracted much attention. The dispatching problem of vehicle delivery logistics is a multi-objective and multi-constrained complex optimization problem that considers many factors such as transportation time, vehicle load, destination, transportation route, carpooling at different destinations, cost control, and traffic control of different carriers. [0003] Anji Auto Logistics Co., Ltd. is a leading third-party logistics company in the out...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06Q50/28
Inventor 汪祖能林颖乐朱杰范峰
Owner ANJI AUTOMOTIVE LOGISTICS
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