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Production distribution scheduling method based on ant colony algorithm

A scheduling method, ant colony technology, applied in the field of supply chain, can solve problems such as not considering the total cost of production and distribution, and not being able to adapt to production needs

Active Publication Date: 2016-04-27
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the research on the joint scheduling problem is concentrated in the traditional production mode. In this type of production mode, a piece of equipment can process a job or a batch of fixed number of jobs at the same time. However, in the real industry, the differential batch production mode also It has the nature of these two production modes, and is more complex and widely used than these two types
Moreover, most of the traditional scheduling methods only blindly consider how to reduce production costs, and do not consider how to minimize the total cost of joint scheduling of production and distribution, so they cannot adapt to the current production needs.

Method used

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  • Production distribution scheduling method based on ant colony algorithm
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  • Production distribution scheduling method based on ant colony algorithm

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Embodiment Construction

[0053] In this embodiment, a production and distribution scheduling method based on ant colony optimization is to model the production and distribution joint scheduling problem with differences in volume and production time, and then solve it through an improved ant colony algorithm to obtain a set of The optimization plan of production and distribution scheduling, in order to greatly reduce the total operating cost of the target manufacturing enterprise and improve the operating efficiency of the enterprise; at the same time, a practical program development plan is given for specific problems, so that the enterprise can obtain the most suitable for it efficiently. Optimal scheduling scheme. Specifically, proceed as follows:

[0054] Step 1. Assuming that there are n batches that need to be produced and distributed, the volume of equipment for producing each batch is recorded as B; the volume of vehicles for delivering each batch is recorded as V; n batches form a batch set, w...

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Abstract

The present invention discloses a production distribution scheduling method based on ant colony algorithm. The modeling is carried out for a production combined distribution scheduling problem with volume and production time differences, then the solution is carried out through an improved ant colony algorithm, thus a set of optimized scheme of production distribution scheduling is obtained, the total operation cost of a target position manufacturing enterprise is reduced greatly, and the enterprise operational efficiency is improved. At the same time, for a specific problem, a practical application development solution is given, and thus an enterprise can efficiently obtain a suitable optimal scheduling scheme.

Description

technical field [0001] The invention belongs to the field of supply chains, in particular to a method for scheduling production and distribution based on ant colony optimization. Background technique [0002] In the current market environment, the core competitiveness of manufacturing enterprises is no longer simply manufacturing capabilities, but supply chain operation capabilities. Manufacturing enterprises need to exercise overall control over procurement, production and distribution, and integrate production systems and logistics systems. Only by optimizing can we maximize the overall economic benefits and enhance the competitiveness of enterprises. [0003] Joint scheduling is a kind of optimization method oriented to the supply chain. It adopts the paradigm of precise scheduling to design a joint scheduling plan for each link in the supply chain, so as to realize the optimization of the overall economic benefits of the enterprise, thereby improving the service level of...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06N3/00
CPCG06N3/006G06Q10/06312
Inventor 程八一黄小曼王刚胡笑旋李凯刘渤海
Owner HEFEI UNIV OF TECH
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