TY  - CHAP
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  -