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Scene-based remanufacturing scheduling optimization method

An optimization method and remanufacturing technology, applied in the direction of manufacturing computing systems, artificial life, computing models, etc., can solve problems such as premature convergence, poor search ability, etc., to reduce impact, solve uncertainty problems, improve practicality and The effect of flexibility

Pending Publication Date: 2021-11-30
ZHEJIANG UNIV OF FINANCE & ECONOMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the basic BBO algorithm still has some shortcomings, such as poor search ability, easy to premature convergence, etc.

Method used

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  • Scene-based remanufacturing scheduling optimization method
  • Scene-based remanufacturing scheduling optimization method
  • Scene-based remanufacturing scheduling optimization method

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Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the description of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application.

[0065] The research on remanufacturing scheduling in the prior art mainly focuses on solving the remanufacturing scheduling...

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Abstract

The invention discloses a scene-based remanufacturing scheduling optimization method, which comprises the following steps of: establishing an SRRSP model for evaluating a scheduling scheme on the basis of an average value and a variance of maximum completion time in all scenes, and solving the SRRSP model by adopting a BBO algorithm to obtain an optimal remanufacturing scheduling scheme. According to the method, the discrete scene set is adopted to describe the uncertain arrival time and the uncertain processing time of the product, so that the problem of uncertainty in the remanufacturing process is solved, and an effective and stable scheduling scheme is obtained. Besides, the variable starting batch size constraint is adopted to replace the traditional fixed starting batch size constraint, so that the starting process of batch processing machines in the remanufacturing system is controlled and adjusted, the practicability and flexibility of the researched problem are improved, and the influence of the uncertain arrival time of the product on remanufacturing scheduling is reduced.

Description

technical field [0001] The present application belongs to the technical field of remanufacturing scheduling, and in particular relates to a scenario-based remanufacturing scheduling optimization method. Background technique [0002] Remanufacturing is widely adopted as an effective method to achieve sustainable development. Remanufacturing is an industrial process that restores end-of-life (EOL) products to a like-new condition through a series of operations such as sorting, inspection, disassembly, cleaning, reprocessing, and assembly. In remanufacturing, scheduling is a key link in organizing production activities. Manufacturers can use efficient scheduling to reasonably allocate available resources to each remanufacturing task, and can determine the sequence and time parameters of these tasks on the basis of considering the corresponding constraints. However, due to various uncertainties in the remanufacturing process, remanufacturing scheduling is more complicated than...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06N3/00G06Q50/04
CPCG06Q10/04G06Q10/0631G06N3/006G06Q50/04Y02P90/30
Inventor 张文宇施嘉璇张帅胡泽乾
Owner ZHEJIANG UNIV OF FINANCE & ECONOMICS
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