Autor: Enzo M. Frazzon

The increasing customization of products, which leads to higher numbers of product variants with smaller lot sizes, requires a high flexibility of manufacturing systems. These systems are subject to dynamic influences and need increasing effort for the generation of the production schedules and for the control of the processes. This paper presents an approach that addresses these challenges. First, scheduling is done by coupling an optimization heuristic with a simulation model to handle complex and stochastic manufacturing systems. Second, the simulation model is continuously adapted by real-time data from the shop floor. If, e.g., a machine goes down or a rush order appears, the simulation model and consequently the scheduling model is updated and the optimization heuristic adjusts an existing schedule or generates a new one. This approach uses real-time data provided by future cyber-physical systems to integrate scheduling and control and to manage the dynamics of highly flexible ...

Dynamic production and logistics systems along supply chains have to operate smoothly with each other in order to satisfy customer demand in time. This task becomes even more challenging in the presence of perturbations affecting the systems. In order to address this challenge, information concerning capabilities and employment level should be appropriately exchanged between production and transportation systems. Nevertheless different stakeholders perform the planning and control of the individual systems, making locally bounded decisions. In this article we present a new approach for the alignment of production and transportation processes that enables an advanced handling of perturbations on the operational level. To this end we introduce a trigger that indicates when a re-planning of existing schedules becomes necessary. We also present a collaborative planning approach that allows for an advanced management of perturbations and a dynamic vehicle routing concept for the on time ...

Global supply chains source raw material around the world, make use of local cost advantages for production and utilise the expertise of excellent partners. They aim at the creation of a sustainable competitive network. In order to benefit from the locally obtained advantages the processes of the partners have to be synchronised. This is a classic task of advanced planning systems. However operational planning and control is quite often conducted in a decentralised, function and department oriented way. This paper presents a framework for an integrated scheduling of production and transportation systems along a global supply chain on the operational level. The framework enhances the synchronisation of material flows and increases the competitiveness of the supply chain.