Online order scheduling of multi 3D printing tasks based on the additive manufacturing cloud platform

被引：22
|
作者：
Wu, Qiao [1 ]
Xie, Naiming [1 ]
Zheng, Shaoxiang [1 ]
Bernard, Alain [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Peoples R China
[2] Ecole Cent Nantes, CNRS, LS2N, UMR 6004, Nantes, France
来源：
JOURNAL OF MANUFACTURING SYSTEMS | 2022年 / 63卷
基金：
中国国家自然科学基金;
关键词：
Additive manufacturing; Cloud platform; Order scheduling; Online scheduling; ORIENTATION; SERVICES; VISION; JOBS;
D O I：
10.1016/j.jmsy.2022.02.007
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Cloud-based additive manufacturing is one of the important forms of cloud manufacturing service platform, which can match manufacturing resources for multi-task requirements to further improve the utilization of idle resources and achieve cost reductions. This paper proposes a more realistic scenario of online scheduling rather than offline scheduling, in which tasks arrive randomly. According to the scenario, a mixed integer linear pro-gramming model of multi 3D printing tasks based on the additive manufacturing cloud platform is constructed, with the goal of minimizing the average cost per volume of material. A heuristic strategy is proposed to solve the problem, and different scale instances are tested to compare the performance. Simulation shows that the pro-posed algorithm can effectively solve the 3D printing online scheduling problem.
引用
收藏
页码：23 / 34
页数：12
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