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A Collaborative Scheduling Method for Transportation and Production Based on Improved Particle Swarm Optimization

A technology for improving particle swarms and collaborative scheduling, applied in the field of supply chain, can solve problems such as inability to adapt to production needs

Active Publication Date: 2017-08-25
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional scheduling method often ignores or abstracts the transportation time as the same, so it cannot adapt to the current production needs

Method used

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  • A Collaborative Scheduling Method for Transportation and Production Based on Improved Particle Swarm Optimization
  • A Collaborative Scheduling Method for Transportation and Production Based on Improved Particle Swarm Optimization
  • A Collaborative Scheduling Method for Transportation and Production Based on Improved Particle Swarm Optimization

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Embodiment Construction

[0064] In this implementation example, a transportation and production scheduling method based on particle swarm optimization, the process is as follows figure 1 As shown, the model is modeled for the transportation and production collaborative scheduling problems with differences in workpiece volume and production time, production equipment speed and transportation time on different transportation routes, and then solved by an improved particle swarm algorithm, thus Obtain a set of optimization schemes for transportation and production scheduling, so as to greatly reduce the total operating cost of the target enterprise and improve the operating efficiency of the enterprise. Specifically, the n workpieces in the workpiece collection are processed in batches, and then delivered to m equipment by transport vehicles for production and processing; the workpiece collection composed of n workpieces is recorded as J={J 1 ,J 2 ,...,J j ,...,J n},J j Indicates the jth workpiece, 1...

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Abstract

The invention discloses a transportation and production collaborative scheduling method based on improved particle swarm optimization, which is characterized in that it is carried out in the following steps: 1. Batching workpieces; 2. Setting algorithm parameters; 3. Generating initial population; 4. Calculating fitness value ;5 Judging whether the termination condition is satisfied, if it is satisfied, output the global optimal solution, otherwise continue; 6 Update the local optimal solution and the global optimal solution; 7 Update the particle position and velocity; 8 Perform crossover operation on each particle; Particles perform immigration operation; 10 adjust particle position, return to step 4. The invention can realize the optimization of the overall economic benefit of the enterprise, thereby reducing the cost of the enterprise and improving the service level of the enterprise.

Description

technical field [0001] The invention belongs to the field of supply chain, in particular to a transportation and production collaborative scheduling method based on improved particle swarm optimization, which is used in the production scheduling management of enterprises. Background technique [0002] In the current market environment, the core competitiveness of manufacturing enterprises is no longer simple manufacturing capabilities, but supply chain collaboration capabilities. The intensification of market competition makes the cooperation between enterprises more and more close. In order to concentrate technology and resources on the key links of production, companies often outsource certain processes to multiple manufacturers. Different manufacturers are often located in different geographic locations, which results in different shipping times between businesses and different manufacturers. Only by coordinating with other manufacturing enterprises to control transport...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
CPCY02P90/30
Inventor 裴军蒋露刘心报范雯娟周谧刘林方昶周志平
Owner HEFEI UNIV OF TECH
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