Journal of Industrial Engineering and Management Studies

Abstract All Social orders depend on and advantage from the significant and important parcel of worldwide trade that it’s backed by consolidation-based transportation over brief, medium, long and interconversion separations. By consolidating the cargo of different shippers into the same stacking units for their full or fractional journeys, consolidation looks for to extend operational and financial efficiency. This paper's focus is on consolidation-based transport and the tactical planning difficulties carriers confront when creating a set of scheduled services that viably and profitably match resource allocation with expected shipping requests over a medium- to long-term timeframe. The main contribution of this research is to provide a new integrated MOFCCP model for supply chain (SC) planning that simultaneously calculates the total tardiness, minimizes the total costs including fixed and variable travelling, purchasing and waiting cost and minimizes the total risk of travel routes. This study addresses the crucial supply chain challenges of multi modal transportation routes. Global SCs encounter major difficulties when it comes to SCM due to uncertainty. In this paper, a supply chain network (SCN) is designed using a novel multi-objective optimization model that accounts for multi modal transportation routes uncertainty. Fuzzy goal programming (FGP) is used to assist businesses in making decisions and the trade-off between the costs and benefit of alternative options because of multiple competing objectives. The primary goal of designing the suggested SCN is to minimize the overall risk of multi modal transportation costs. In order to manage the uncertainty, the novel multi-objective mathematical model is subjected to fuzzy chance constrained programming (FCCP), and a case study in steel company is carried out to investigate.