## 9 Practical Approach  
In this section a practical approach for the application of the multi-objective optimization conceptual model in a real-world space mission scenario is presented. In this practical approach, we explore the practical application of the multi-criteria optimization model in a real-world space mission scenario. The purpose is to demonstrate how this model can assist in designing mission strategies that minimize risks, optimize resource utilization and optimize supply chain efficiency, and align with sustainability goals. By examining the decision-making process [98] and trade-offs involved, we can gain insights into how the model can guide the design of space missions that balance various criteria effectively. A real-life practical approach from NASA [99] and other space agencies [100] can be better organized and improved with the use of the approach and methodology proposed in this paper. Here are some examples of cases and relations between organization of space missions with relation to presented research. One example of real space mission planning is VERITAS, NASA's Venus exploration mission [99; 101]. This mission is going to be delayed; one of the reasons is inefficient space mission supply chain, not considering the risk and sustainability factors that appeared recently, and have not been taken into account at the beginning of mission planning. Another example is the planning of space farming during a space mission. If future astronauts are to survive voyages far from Earth, they will need to develop their own plants in artificial environments [99; 101]. This is an excellent illustration of the critical importance of considering and optimizing risk, sustainability, and the supply chain in order to provide the necessary resources for astronauts at the start and throughout the space mission in order to enable the development of a space farm. The third example is related to the tools and machinery required to successfully conduct space missions. A Rolls-Royce engine is required on the Moon. Humanity may be able to return to the moon by the 2030s, thanks to a British vehicle business aiming for the surface [98; 101]. Coordination of the space mission supply chain, taking into account risk and sustainability concerns, is critical to overcoming all hurdles and organizing a successful mission. Tools and machinery are required for space travel and for constructing the space village, which would be made up of inflated pods covered by hard outer shells and housing living rooms, workstations, and life-support systems. To make the town self-sufficient, water and oxygen would be taken from permanently shaded craters, and lunar regolith would be used as a fundamental building material as well as for crop cultivation [98; 101]. In terms of space mission planning and organization, a new factor to consider is blockchain technology for future space missions. Although blockchain technology was first focused on cryptocurrencies and financial assets, there is great potential for its application across a wide range of industries, including space mission supply chain management, intellectual property rights, healthcare, and voting systems [102]. Following the presentation of some practical examples and a practical approach for the implementation of the multi-objective optimization conceptual model in a real-world space mission situation, we are going to provide more formal steps to conducting the proposed approach. Practical approach Scenario: Let us consider a hypothetical space mission [103] aimed at establishing a research facility on another celestial body such as the Moon, Mars, or Mercury. The objective of this mission is to conduct scientific experiments, gather data, and pave the way for future human exploration. However, the mission faces various challenges and risks that need to be addressed, including technical, human, environmental, and budgetary factors.