A Case Study of Plug and Produce Robot Assistants for Hybrid Manufacturing Workstations

Abstract

In the paradigm of smart factories, flexible and scalable manufacturing resources are essential. The human worker offers great flexibility; however, the operators are often a sparse resource in high-wage countries. Consequently, they are often responsible for several tasks at once and must prioritise the most critical ones. Consequently, the productivity on less critical tasks will suffer in the absence of the operator. In this paper, we present a case study on the effect on productivity when deploying a collaborative robot assistant in a plug and produce fashion to substitute a human worker at manual workstations on a production line. Realistic cycle and changeover times are derived from physical experiments and used in discrete event simulation to analyse two scenarios. The results show that if an operator must abandon his/her workstation, deploying a robot assistant as a substitute reduces the loss of productivity.

Public perceptions towards ChatGPT​ a​s the​ Robo​-Assistant

“…The teaching humanlike robot assistant can entice students' interest before assisting teachers in enhancing course presentation and class management. Hjorth et al (2021) presented a case study on the impact of plug-and-play deployment of a collaborative robot assistant to replace a human worker at manual workstations on a production line on productivity. Physical experiments were used to generate realistic cycle and changeover times, which were then used to analyze two scenarios using simulation of discrete events.…”