Strategic planning for addressing the multi-option parameters for sustainable decision-making in multi-objective solid transportation problem

This study focuses on the multi-option multi-objective solid transportation problem (MOMOSTP). Multi-option parameters describe the problem parameters, such as the objective function’s cost coefficients. The primary aim of this research is to convert the multioption structure of cost coefficients in the objective function of the transportation problem (TP) into a singular option format, with the goal of minimizing total costs. In this study, we provide a novel heuristic technique for the given issue. Furthermore, we demonstrate the effectiveness of our suggested strategy by the use of a ranking approach.