The unawareness of production planners about the interaction of key performance indicators (KPIs) in manufacturing systems and misinterpretations of system states often leads to problems when they try to improve them. Exemplary, the lead time syndrome (LTS) represents one of these counterproductive actions. While planners aim to improve due date reliability by planned lead time adjustments, the result is often an aggravation of due date reliability. The underlying reason is that human perception and decision-making process can be biased. Despite its potential to improve the logistic performance, the meaning and the effects of cognitive biases on the decision-making processes in production planning and control were out of scope of recent investigations in the field of production logistics. The aim of this research is to create a starting point to close this research gap by the development of a heuristic framework identifying relevant decision making situations, the potentially active cognitive biases and the potential impact on logistics performance; for this, we combine the research streams of production planning and control (PPC), behavioral supply chain management and psychology.