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首页> 外文会议>International Conference on Soft Computing and Intelligent Systems;International Symposium on Advanced Intelligent Systems >Optimal job routine assignment for the improvement of operational resilience based on skills and knowledge of production staff in the chemical industry
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Optimal job routine assignment for the improvement of operational resilience based on skills and knowledge of production staff in the chemical industry

机译：基于化工行业生产人员的技能和知识，优化工作例行工作以提高操作弹性

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摘要

In the chemical industry, a member of the production staff, who engages in the daily routine, is able to improve the productivity by exercising his/her skills. As the level of skills and knowledge of the production staff is different from person to person, it is difficult to judge whether the production staff follows the suitable routine or not. If each member of the staff can be occupied in the most suitable routine, the total work hours will be minimized. In this paper, it is confirmed the possibility to assign the routine jobs to three members of the staff, so that the total work hours decrease without the reduction of the overall value of skills. Therefore, the produced margin of work hours can be used to improve skills and knowledge and to master new ones, leading to the progress of the productivity of production process. As the result of this procedure, the operational resilience, which is the capacity to restrain the negative effects on the production process, will also be improved.
机译：在化学工业中，从事日常工作的生产人员可以通过锻炼自己的技能来提高生产率。由于生产人员的技能和知识水平因人而异，因此很难判断生产人员是否遵循适当的常规。如果每个员工都能按照最适合的常规工作，那么总的工作时间将减至最少。在本文中，已确认可以将日常工作分配给三名员工，从而在不降低技能总价值的情况下减少总工作时间。因此，所产生的工作时限可用于提高技能和知识并掌握新知识，从而提高生产过程的生产率。作为此过程的结果，操作弹性（即抑制对生产过程的负面影响的能力）也将得到改善。

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