Current trends in manufacturing technology show increasing individualization of products with a large variety of variants. This results in smaller lot sizes, increasing order numbers and rising data and information processing for manufacturing companies. To deal with this challenge, cell-based flexible and reconfigurable manufacturing systems are necessary. Even more advantageous for this are intelligent products with scalable capabilities which are, in addition to their presence as a workpiece or semi-finished product, active elements within the control and planning of their own production process. This thesis focuses on an application-specific symbiosis of product intelligence, flexibility and autonomy, which is based on the topology of flexible cell-based manufacturing systems and directly leads to a product-tolerant automation. First, the development and validation of a product-tolerant control and the specification of a strategy for the integration of product intelligence into the distributed automation is implemented. In addition to the increased decentralized product-tolerant autonomy, the flexible planning of cell-based production also plays a decisive role for the manufacturing of small batch sizes and a high variety of variants. Based on the highest response ratio next scheduler, a novel, two-stage, flexible planning concept for cell-based manufacturing systems is developed. Finally, a holistic product-tolerant conceptualization of a highly flexible candle manufacturing is shown. The partial system behavior pertaining to filling of candle wax is examined in a real test rig. In addition, simulation studies are carried out for the analysis and validation of the dynamic production planning of the newly developed scheduling process and three further planning methods.