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Tree search method and device for the same-sequence assembly line shop scheduling problem

A technology for workshop scheduling and search methods, applied in data processing applications, machine learning, instruments, etc., can solve the problems of non-reproducible results, long operation time, instability, etc., to enhance flexibility and reliability, and improve production efficiency , the effect of shortening the maximum completion time

Active Publication Date: 2020-12-01
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above algorithm mainly adopts meta-heuristic algorithm, the algorithm itself has randomness, sometimes the result is irreproducible, unstable, and takes a long time to calculate on the computer

Method used

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  • Tree search method and device for the same-sequence assembly line shop scheduling problem
  • Tree search method and device for the same-sequence assembly line shop scheduling problem
  • Tree search method and device for the same-sequence assembly line shop scheduling problem

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Embodiment Construction

[0040] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0041] The workshop scheduling problem means that the scheduled workpieces need to be processed on different machines. Each machine can only process one workpiece at most at the same time, and each workpiece can only be processed on one machine at most at the same time. The processing of workpieces is not allowed. Interruption, the problem is to determine the processing sequence and timing of workpieces on the machine so that the objective function is optimized. Workshop scheduling problems widely exist in manufacturing and logistics systems. The solving methods mainly include tabu search algorithm, simulated annealing algorithm, ant colony al...

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Abstract

The invention belongs to the field of assembly line workshop scheduling, and specifically relates to a tree search method and device for a homosequential assembly line workshop scheduling problem. Theinvention aims at solving an optimized scheduling problem of the homosequential assembly line workshop. The method comprises the steps: employing an NEH algorithm for solving an initial solution; taking forwarding search and reverse search as two branches of a father node through combining with a tree search method, respectively carrying out the optimization, carrying out the comparison with thefather node, obtaining a forwarding optimal solution and a reverse optimal solution, i.e., two generated two subnodes. A tree structure is constructed in the above mode, thereby achieving the optimized scheduling of the homosequential assembly line workshop. Compared with the prior art, the method shortens the maximum completion time. Moreover, the algorithm is a deterministic algorithm, and a solving result is a deterministic stable solution.

Description

technical field [0001] The invention belongs to the field of assembly line workshop scheduling, and in particular relates to a tree search method and device for the same-sequence assembly line workshop scheduling problem. Background technique [0002] The problem of assembly line shop scheduling is a cross-cutting research field, involving operations research, management, automation, computer and other fields. The research on assembly line workshop scheduling can help enterprises improve production efficiency, enhance the flexibility and reliability of production, and has important research significance for advanced manufacturing and intelligent manufacturing. [0003] The assembly line shop scheduling problem is generally an NP-complete problem, and the search for the target solution involves the combinatorial explosion of the solution space. The current solution methods mainly include tabu search algorithm, simulated annealing algorithm, ant colony algorithm, particle swa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06N20/00
CPCG06Q10/06316G06N20/00
Inventor 商秀芹刘胜王飞跃袁勇沈震朱凤华荆思凤赵红霞
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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