The application of new lean logistic concepts leads to an ongoing reduction of intermediate stock, having a positive influence on the working capital of a company. But these changes also create more fragile supply chains, as there is no flexibility left to react to unexpected disturbances and delays. Within such a lean supply chain, multiple parallel long-term projects with several orders are serviced. Each order has the logistic constraint of a complete delivery of several items at once. Combined with the introduced fragility, even small unforeseen disturbances in the production and procurement process lead to a major decrease in delivery performance, as the delivery can only be initiated upon the availability of the last part. To improve the delivery performance and therewith customer satisfaction, unexpected disturbances need to be considered already during planning. A framework based on the hybrid predictive-reactive rescheduling concept was designed to solve this problem. The proactive component maximizes the delivery performance based on a long-term project view. Past performance results are used to achieve a fair balancing of the use of available resources, which are limited by an upper bound regarding the fixed capital. Using simulation-based optimization, the expected delivery performance values of all individual orders are maximized by applying simultaneously planned dynamic safety stocks and safety times across multiple stages of the supply chain. Subsequently a modified goal programming automatically selects the favorable solution according to past values and tactical targets. Alternatively a specifically adapted visual selection interface supports a manual selection and analysis. The reactive component provides possible actions to further reduce the impact of an already occurred disturbance.