۱- Introduction

۲- Theoretical Framework

۳- Empirical Study

۴- Results

۵- Discussion and implications

References

Abstract

The expansion of sensors located within the shop floor area drastically expands the amount of information being available for planning procedures. However, it is questionable on how far ever more current data, leading to higher production planning frequencies, are able to contribute to a higher logistical performance of production planning and control (PPC). For this purpose, we conducted a study to confront frequently described potentials of real-time abilities with adverse effects consequent to scheduling nervousness. The results of a curvilinear regression indicate that the risks of scheduling nervousness can outweigh potential benefits due to immediate schedule adjustments.

Discussion and implications

Our study investigated the relation between scheduling frequencies applied in the course of production planning and the implications on performance measures of the production. The findings suggest that steadily increasing the update frequencies can be harmful to the actual performance concerning speed related measures of throughput time, delivery reliability as well as response capacity. Our study thus supports suggestions from several research approaches, recommending to put a more critical view on potential threats arising from frequent changes in the production plan [6, 15–۱۸]. During the course of the empirical based study, the performance of manufacturing companies was assessed by measuring several speed related criteria, concerning the job order handling. By confirming hypothesis stated, the regression analysis emphasized an inverse curvilinear relation between the dependent variable (performance measure) and the independent variable quantifying the update frequency (model 3 in table 3). As another result of the regression analysis, the study furthermore stressed the importance regarding logistical objectives. The variable controlling for the main logistical objective showed a significant influence on the performance criterion.