Towards the Investigation of Production Order Interdependency Effects on Logistics Performance

Manufacturers continuously face the challenge of driving down costs while being subjected to increasingly globalized market pressures to shorten production lead times and increase delivery reliability. The early prediction of the expected logistics performance of single production orders as well as for the entire manufacturing system is a pivotal strategic corporate activity. However, companies frequently find themselves struggling to foresee and integrate operational dynamic effects related to production orders into production planning decisions. Such dynamic interdependency effects between orders in close temporal and spatial neighbourhoods can have an impact on logistics performance. In this research, we introduce an index measure that quantifies the spatial and temporal relation of production orders and investigate dynamic effects of production order interdependencies using real production feedback data and derive first results for the improvement of the prediction of logistics performance in an early production planning stage as well as for the configuration of production planning and control.