As there are chances that businesses and supply chains might be easily disturbed due to pandemics, for example, planning under uncertainties becomes an essential step that would mitigate the consequences. In this context, multiple objectives, considering the uncertainties and flexibility model to design a closed loop supply chain is proposed. We use a new approach that integrates linear physical programming and scenario-based robust optimization, which is the first of its kind to solve the problem of designing a closed loop supply chain network. We conclude the paper by presenting a numerical experiment to show the use of our model to design a tire industry CLSC in Saudi Arabia.