The impact of visualizing operational deviations on overall quality in assembly lines

A framework for data collection and visualization of operational deviation at a Volvo truck manufacturing plant implementing Volvo Group\u27s production system, Volvo Production System (VPS), is presented. This includes visualisation of daily quality performance indicators to support decision making and improvement actions at the shop floor team level. The approach is evaluated in a qualitatively study using a survey instrument to collect responses from managers and team leaders, which acted as input for the actual use of the data and as validation of the framework. The results from this evaluation show that potentially operational deviations can be reduced, impacting positively quality performance indicators such as first-time through (FTT). This paper also provides a brief description of the VPS in connection with data analytics and visualization

A risk control framework for safe manufacturing workstations in view of COVID-19

The manufacturing industry is resuming operations after the Covid-19 pandemic supported by return-to-work guidelines, which are mostly personal protection measures for the workers and employees. In this paper, we propose a framework for assessing risk at the workstation level by linking the risk levels to possible mitigation strategies that can be implemented using standard operating procedures (SOP), 5S and problem solving. Within industrial plants, operators work in close contact with coworkers and supervisors, they are also sharing tools and machines, it is therefore essential to develop strategies that reduce the operator’s exposure to viruses in the workplace. The purpose of this work is that when implemented, the risk assessment model and specifically how SOP, 5S and problem solving can be used to implement administrative and engineering controls resulting in a safe workplace and increasing level of confidence for the operators working within the plant

A risk control framework for safe manufacturing workstations in view of COVID-19

The manufacturing industry resumes operations after the COVID-19 pandemic supported by return-to-work guidelines, which are mostly personal protection measures for the workers and employees. In this paper, we propose a framework for assessing risk at the workstation level by linking the risk levels to possible mitigation strategies that can be implemented using standard operating procedures (SOP), 5S and problem-solving. Within industrial plants, operators work in close contact with coworkers and supervisors, and they are also sharing tools and machines. It is therefore, essential to develop strategies that reduce the operator’s exposure to viruses in the workplace. The purpose of this work is that when implemented, the risk assessment model and specifically how SOP, 5S and problem solving can be used to implement administrative and engineering controls resulting in a safe workplace and increasing level of confidence for the operators working within the plant