ergonomics

Demographic change, skills shortages, and stagnating productivity are threatening the competitiveness of German industry. At the same time, AI and digital assistance systems are opening up new opportunities: they make work more efficient and support skilled workers. But while they have long been part of everyday life, their potential in industry remains largely untapped—this is where this issue comes in with innovative concepts.

Musculoskeletal disorders are the major cause of incapacity to work in the production industry in Germany. Accordingly, ergonomic work processes are particularly important in order to protect the health of employees and to reduce the high follow-up costs for companies and society. This article presents an approach that assesses and analyzes the individual worker capabilities and individual strain at the workplace with the help of modern motion capture systems. A learning assistance system uses the analysis results for ergonomic behavioral prevention in production.

Musculoskeletal disorders are responsible for about one quarter of all days of incapacity to work in Germany. In order to identify which types of strain lead to an increased risk of the emergence and aggravation of work-related musculoskeletal disorders in operational intra-logistics and to identify in which types of jobs this risk especially occurs, 30 people working in different companies were interviewed. It was discovered that almost all types of manual handling of loads (lifting, carrying, pulling and pushing), and both standing permanently as well as forced sitting are relevant.

In order picking, the workers lift, lower, push and pull variable loads. This manual handling is a common cause of musculoskeletal disorders. In order to assess the risk of musculoskeletal disorders, risk assessments in order picking are nowadays performed manually. This article presents an approach how to integrate two methods of risk assessment in warehouse management systems so the physical workload in order picking systems can be determined automatically.

The demographic change will be one of the big challenges for operational logistics in the upcoming years. With the aging of logistics workers, physical constraints increase especially when employment is characterized by high physical stress (e.g. like in production and logistics). That causes higher demands on the design of logistics workplaces. But how can companies react to this, taking into account that value added orientation leads to new demands to workers? Is there a chance that the increasing percentage of elder employees can properly fulfil the demands in the future? Whereas the ergonomic design of workplaces is the precondition, an intelligent labour organisation with diversified stress can preserve the worker’s ability to work.

Unemployment constitutes a danger for the economic, political and social stability of a country. This paper presents the development of a model which can help to demonstrate the most important opportunities to influence unemployment at three levels: at the level of the general political framework, at a corporate level as well as at an individual level. Subsequently, empirical data is presented which provides a clear indication of the effect of economic clusters in promoting employment. On this basis, measures to support the formation of economic clusters are developed.