Sustainable Personnel Planning in Highly Customized Assembly Lines with Work Sharing

通过工作共享实现高度定制装配线的可持续人员规划

• 批准号: 414225725
• 负责人: Professor Dr. Dominik Kreß
• 金额: --
• 依托单位: Lehrstuhl für Betriebswirtschaftslehre mit Schwerpunkt Management Science/Operations Supply Chain Management
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/414225725?language=en
• 关键词: Sustainable; Personnel; Planning; Highly; Customized

In SuPerPlan, we study paced mixed-model assembly lines (MALs) where highly customized products are processed by human operators. We will analyze concepts of planning the work of operators at such lines, build appropriate models and develop new algorithms, which aim at enhancing both economic and social sustainability of these assembly lines. We believe that this can be achieved by performing some tasks in an alternating or collaborative manner by groups of workers according to rules specified by the planners. This form of organization is referred to as work sharing. We identify three types of work sharing that enable companies to enrich work assignment, to reduce ergonomic risks and the variance of job completion times, and thus help enterprises to customize their product range and produce available to promise. However, work sharing adds additional complexity to the planning of assembly lines. Work sharing at MALs has barely been investigated in the past, resulting in a significant research gap. Moreover, an appropriate methodological support for managers is currently missing. To bridge this gap, SuPerPlan investigates the impact of work sharing on planning in a plentitude of settings in MALs, such as personnel planning, assembly line design, or assembly line balancing and scheduling. We will extract optimization problems and develop suitable solution algorithms that integrate different aspects of work sharing of different types. One of our major challenges will be coping with the increase of complexity due to taking work sharing into account, as most of the optimization problems are already computationally intractable when work sharing is not considered.Our planning procedures will take aspects of social sustainability into account, such as individual skills, equitable distribution of labor, and ergonomic risks. The attention will be centered on considering the assembly line stem personnel as opposed to temporary workers. We also intend to design participative planning approaches in the form of mechanisms that take into account preferences of workers. These planning algorithms must be transparent and have a disincentive effect to possible selfish manipulations.We believe that the results of this project will bring a positive social impact to the society by improving working conditions at assembly lines and enhancing product customization at a large number of enterprises.

在SuPerPlan中，我们研究了节奏混合模型装配线（MALs），其中高度定制的产品由人工操作员加工。我们将分析在这些生产线上规划操作员工作的概念，建立适当的模型并开发新的算法，旨在提高这些装配线的经济和社会可持续性。我们认为，这可以通过由工人群体根据规划者指定的规则以交替或协作的方式执行某些任务来实现。这种组织形式被称为工作共享。我们确定了三种类型的工作共享，使企业能够丰富工作分配，减少人体工程学风险和工作完成时间的差异，从而帮助企业定制他们的产品范围和生产可用的承诺。然而，工作共享给装配线的规划增加了额外的复杂性。过去很少对MALs的工作共享进行调查，导致研究缺口很大。此外，目前缺乏对管理人员的适当方法支持。为了弥补这一差距，SuPerPlan研究了MALs中大量设置中工作共享对规划的影响，例如人员规划、装配线设计或装配线平衡和调度。我们将提取优化问题，并开发合适的解决算法，整合不同类型的工作共享的不同方面。我们的主要挑战之一将是处理由于考虑工作共享而增加的复杂性，因为当不考虑工作共享时，大多数优化问题已经在计算上难以处理。我们的规划程序将考虑社会可持续性的各个方面，如个人技能、劳动力的公平分配和人体工程学风险。与临时工相比，将把重点放在生产线系统人员上。我们还打算设计考虑到工人偏好的机制形式的参与性规划方法。这些规划算法必须是透明的，并且对可能的自私操纵有抑制作用。我们相信，该项目的成果将对社会产生积极的社会影响，改善大量企业的装配线工作条件，提高产品定制化水平。