Extensive research has been conducted on the Cooperation Mission (FMS) program, the primary emphasis has been on the well-established learning process. In the context of the JSSE (Computer Scheduling Environment), where interaction options frequently rely on simplistic models, there is a notable absence of comprehensive guidance in the FMS program's documentation. This article is dedicated to the analysis of machine and AGV (Automated Guided Vehicle) planning, with the aim of establishing criteria for mitigating the average delay within the FMS system. This is achieved through the application of the Local Search Algorithm (LSA). The feasibility of this approach can be assessed across a range of scenarios using the 40-question FMS entertainment model.