Multi-criteria personnel scheduling considering the robustness of production systems

对于工业公司来说，在波动的影响下完成有效的生产计划并实现依赖于这种计划的确定的公司目标变得越来越具有挑战性。人口结构的变化和技术工人的缺乏导致人员调度的重要性不断增加。大多数工业公司将其人员调度限制为根据特定任务的最高绩效分配工人。诸如人员发展支助、培训过程的协调和工作时间的延长等标准没有考虑到劳动力的主权。因此，开发上述人员调度的潜力，同时确保短期业绩，是目前工业公司面临的一个挑战。因此，本研究项目的主要目标是研究考虑生产系统鲁棒性的多准则人员调度问题。因此，人事安排将有可能在同样程度上实现与人事有关的长期目标和与业绩有关的短期目标。为了实现主要目标，有四个子目标：在第一个子目标中，基于对单个过程链元素的鲁棒性分析，扩展了用于描述生产系统鲁棒性的现有方法。这样就可以将稳健性描述为单个工作场所的函数，从而描述为人员影响的函数。在此基础上，第二个子目标以人员能力、学习行为和人员可用性为例描述了与人员相关的鲁棒性影响因素。第二个子目标的实现使基于鲁棒性的生产系统的多准则评估成为可能。针对第三个子目标，提出了一种多准则人员调度算法。由此产生的方法将直接适用于生产计划和控制。最后，在面向应用的仿真研究的帮助下，将在第四个子目标中详细了解所开发的方法。

For industrial companies, it is becoming increasingly challenging to accomplish effective production planning under fluctuating influences and to achieve the defined corporate goals that depend on such planning. The demographic change and the lack of skilled workers have led to the fact that personnel scheduling is continuously gaining in importance. The majority of industrial companies limit their personnel scheduling to the allocation of workers based on the highest performance for a particular task. Criteria such as personnel development support, coordination of training processes and the extension of the working time sovereignty of the workforce are not taken into account. Exploiting the above-mentioned potential of personnel scheduling and at the same time ensuring short-term performance is therefore currently a challenge for industrial companies.The main objective of this research project is therefore the investigation of a multi-criteria personnel scheduling considering the robustness of a production system. Consequently, it will be possible for personnel scheduling to achieve both personnel-related, rather long-term objectives and performance-related, rather short-term objectives to the same extent. In order to achieve the main objective, four sub-objectives are aimed at: In the first subobjective the extension of existing methods for the description of the robustness of a production system takes place based on the robustness analysis of individual process chain elements. This will allow describing the robustness as a function of individual workplaces and consequently with respect to personnel influence. Based on this, the second subobjective describes personnel-related influencing factors on robustness using the example of personnel competences, learning behaviour and personnel availability. The achievement of the second subobjective enables the multi-criteria evaluation of production systems based on robustness. Furthermore, an algorithm for multi-criteria personnel scheduling is developed for the third subobjective. This resulting method will be directly applicable in production planning and control. Finally, a detailed understanding of the developed methodology will be gained in the fourth subgoal with the help of application-oriented simulation studies.