Production-transportation co-scheduling method and system based on modified taboo search algorithm

A tabu search algorithm and collaborative scheduling technology, applied in manufacturing computing systems, computing, random number generators, etc., can solve problems such as less research results and less research on scheduling problems

A tabu search algorithm and collaborative scheduling technology, applied in manufacturing computing systems, computing, random number generators, etc., can solve problems such as less research results and less research on scheduling problems

CN107392402AActive Publication Date: 2017-11-24HEFEI UNIV OF TECH

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  • Production-transportation co-scheduling method and system based on modified taboo search algorithm
  • Production-transportation co-scheduling method and system based on modified taboo search algorithm

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] The embodiment of the present invention can solve the problem of collaborative batch scheduling of production and transportation of similar parallel machines for the situation of distributed similar machine manufacturers, and the optimization goal of the problem is to minimize the manufacturing time span. Based on the unique properties of the problem, an effective algorithm is designed to solve the combinatorial optimization problem and achieve the maxim...

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Abstract

An embodiment of the invention relates to a production-transportation co-scheduling method and system based on a modified taboo search algorithm; the method comprises: 1, group-batching workpieces; 2, initializing algorithm parameters; 3, generating initial solutions; 4, generating a neighborhood solution set; 5, subjecting individuals to variation, intersection and selection; 6, determining a candidate solution set; 7, calculating fitness values of the individuals; 8, updating the candidate solution set; 9, updating a taboo table; 10, judging whether algorithm termination conditions are met, outputting a global optimal solution if yes, and returning to the step 4 if not. An approximate optimal solution is acquired for the production-transportation co-scheduling problem under multiple manufacturers; that is to say, a scientific effective production-transportation co-scheduling scheme is acquired; therefore, whole benefit in production and transportation can be maximized for an enterprise, high-quality services are provided for customers of the enterprise, and core competitiveness of the enterprise is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of software technology, and in particular to a production and transportation collaborative scheduling method and system based on an improved tabu search algorithm. Background technique [0002] Batch scheduling problem, as a typical combinatorial optimization problem, widely exists in modern production activities, such as transportation, production transportation and ship lock scheduling. In the batch scheduling problem of similar parallel machines, each machine has the same processing capacity but different processing speed, and the batch machine can process multiple workpieces at the same time within the capacity range. In the context of today's mainstream cloud manufacturing model, in order to make full use of existing production resources to provide customers with high-quality services, for the same customer order, enterprises cooperate to complete the production task of the order. Desig...

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Application Information

Patent Timeline
24 Nov 2017
Publication
CN107392402A
IPC
G06Q10/04; G06Q10/06; G06Q50/04
CPC
G06Q10/04; G06Q10/06312; G06Q50/04; G06Q10/06311; G06F7/58; G06F16/90335; Y02P90/30
Inventors
裴军; 宋庆儒