...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computers & Chemical Engineering >Preemptive multi-skilled resource investment project scheduling problem: Mathematical modelling and solution approaches
【24h】

Preemptive multi-skilled resource investment project scheduling problem: Mathematical modelling and solution approaches

机译：先发制人的多技能资源投资项目调度问题：数学建模和求解方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Many chemical production systems encounter with a functionally flexible workplace which need multi-skilled workers. This research integrates the multi-skilled project scheduling problem with the resource investment problem which aims to obtain concurrent optimal policy of project scheduling and skills' recruitment. The objective of the proposed model is minimization of total recruitment cost for different levels of the skills. An integer programming formulation is developed for the problem, and it is validated through solving several small scale instances using the GAMS software. To tackle real-life problem scales, a genetic-based and a particle-swarm-based algorithm with calibrated parameters and chromosome structures that guarantee feasibility are proposed. The performances of the solution procedures are evaluated by comparing the results obtained and the ones resulted by the GAMS software. In addition, the robustness of the algorithms' results for large scale instances is evaluated in different runs confirms the applicability of the proposed methodology.
机译：许多化学生产系统遇到功能灵活的工作场所，需要多技能的工人。该研究将多技能项目调度问题与资源投资问题相结合，旨在获得项目调度和技能招聘的并发最优策略。所提出模型的目的是使不同技能水平的总招聘成本最小化。针对该问题开发了整数编程公式，并通过使用GAMS软件解决了几个小规模实例而得到验证。为了解决现实生活中的问题规模，提出了一种基于遗传和基于粒子群的算法，该算法具有可校正的参数和染色体结构，可保证可行性。通过比较获得的结果和GAMS软件得出的结果，评估了解决方法的性能。此外，在不同的运行中评估了大型实例算法结果的鲁棒性，证实了所提出方法的适用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号