%0 Journal Article
%T 基于遗传算法的试验计划总完工时间极小化模型设计与实现<br>Design and Implementation of the Total Completion Time Minimization Model of Test Plan Based on Genetic Algorithm
%A 赵红武
%A 黄小瑜
%A 史亚斌
%A 秦彪
%A 王东
%A 丁懿
%J Hans Journal of Data Mining
%P 116-124
%@ 2163-1468
%D 2016
%I Hans Publishing
%R 10.12677/HJDM.2016.63014
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">伴随着物联网技术和大数据分析技术的兴起，越来越多的企业由传统制造业向智能化转型，以实现产业升级，而总完工时间极小化，尤其是复杂产品的总完工时间极小化，是制造企业生产计划编制中的重要环节。若能实现总完工时间极小化模型的准确建立，既能改善计划的准确性也可以大幅度提高检测业务的工作效率。本文提出的试验检测计划的总完工时间极小化方法，经算法实现后得到的试验检测方案能够有效的提高产品的试验检测效率，缩短产品的试验检测周期。经实例验证，有良好的应用效果。<br />
With the rise of the Internet of things and big data analysis technology, more and more enterprises transform from the traditional manufacturing industry to intellectualization to achieve industrial upgrading. For complex products, total completion time minimization is an important part of production planning in manufacturing enterprises. If we can establish the total completion time minimization model accurately, both of the program accuracy and working efficiency can be greatly improved. The proposed method of test and detection plan to minimize the total completion time can improve the test and detection efficiency and shorten the test cycle. Verified by examples, it has good application effect.</span><span style=\"line-height:1.5;\"></span> 
</div>
%K 遗传算法，总完工时间，极小化，试验检测，试验计划调度<br>Genetic Algorithm
%K The Total Completion Time
%K Minimization
%K Test and Detection
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=18389