绿色车间调度优化研究进展
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作者单位:

(清华大学自动化系,北京100084)

作者简介:

王凌(1972-), 男, 教授, 博士生导师, 从事智能优化调度理论与方法等研究;王晶晶(1995-), 女, 硕士生, 从事绿色智能调度的研究.

通讯作者:

E-mail: wangling@tsinghua.edu.cn

中图分类号:

TP18

基金项目:

国家杰出青年科学基金项目(61525304);国家重点研发计划项目(2016YFB0901901).


Advances in green shop scheduling and optimization
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(Department of Automation,Tsinghua University,Beijing 100084,China)

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    摘要:

    当今社会环境问题日益严重,绿色制造的研究备受关注.作为现代化制造模式,绿色制造旨在保证产品功能与质量,降低生产成本,提高生产效益,同时减少环境污染与能源浪费,实现经济指标和绿色指标的协同优化.绿色车间调度是绿色制造的重要环节,比传统调度问题的求解难度更高,更具学术研究意义和工程应用价值.绿色车间调度通过资源分配、操作排序和运作模式的合理优化,实现增效、节能、减排、降耗.为此,分析绿色车间调度问题的复杂性和相应的处理机制,介绍绿色车间调度在问题、方法、应用层面的代表性研究进展,进而指出各层面有待进一步研究的若干方向和内容,以促进智能制造与绿色制造的研究与发展.

    Abstract:

    Nowadays, the environmental issue gets increasingly serious, and the research of green manufacturing attracts much attention. As a modern manufacturing model, green manufacturing aims to guarantee the quality and function of products, reduce the manufacturing cost, raise the manufacturing profit, and at the same time to decrease environmental polution and energy waste, so as to achieve the simultaneous optimization of economic and green indexes. Green shop scheduling is an important element in green manufacturing with academic significance and engineering value, which is more difficult to be solved than the classic shop scheduling problems. Via the reasonable optimization of resource allocation, operation sequence and exection pattern, profit rising, energy saving, discharge decreasing and consumption reducing can be achieved. The complexities of the green shop scheduling problems and the related handling schemes are analyzed, and the typical advances in terms of problem, method and application are reviewed, and some further research directions and contents in each aspect are pointed out to promote the research and development of the intelligent manufacturing and green manufacturing.

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引用本文

王凌,王晶晶,吴楚格.绿色车间调度优化研究进展[J].控制与决策,2018,33(3):385-391

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  • 在线发布日期: 2018-03-06
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