Modelling the influence of setup optimized sequencing on lateness and productivity behaviour of workstations

Abstract When designing, planning and controlling an enterprise's internal supply chain, productivity and schedule reliability are two key objectives. Setup optimized order sequencing simultaneously impacts these objectives. Whereas productivity is positively influenced by setup optimized sequencing, increased lateness and thus lower schedule reliability need to be taken into account. Setup optimized sequencing therefore, leads to a target conflict. This paper describes the derivation of logistic models which support companies in positioning their workstations within this target conflict. These models quantify the impact of setup optimized sequencing on the two objectives in dependence on the control variable ‘work-in-process’.