TY - CPAPER U1 - Konferenzveröffentlichung A1 - Bonini, Marco A1 - Schuhmacher, Jan A1 - Urru, Augusto A1 - Wezel, Jan Philipp A1 - Hummel, Vera A1 - Echelmeyer, Wolfgang T1 - Planning of available resources considering ergonomics under deterministic highly variable demand T2 - 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 14-17 December 2020, virtual, proceedings N2 - In this paper, a method for hybrid short- to long-term planning of available resources for operations is presented, which is based on a known or deterministically forecasted but highly variable demand. The method considers quantitative measures such as the performance and the availability of resources, ergonomically relevant KPI and ultimately process costs in order to serve as a pragmatic planning tool for operations managers in SMEs. Specifically, the method enables exploiting the ergonomic advantages of available flexible automation technology (e.g. AGVs or picking robots), while assuring that these do not represent a capacity bottleneck. After presenting the method along with the necessary assumptions, mainly concerning the availability of data for the calculations, we report a case study that quantifies the impact of throughput variability on the selection of different process alternatives, where different teams of resources are used. KW - task analysis KW - planning KW - ergonomics KW - service robots KW - roboto kinematics KW - tools KW - resource allocation Y1 - 2020 SN - 978-1-5386-7220-4 SB - 978-1-5386-7220-4 U6 - https://doi.org/10.1109/IEEM45057.2020.9309890 DO - https://doi.org/10.1109/IEEM45057.2020.9309890 SP - 96 EP - 102 S1 - 7 PB - IEEE CY - Piscataway, NJ ER -