Supply network modeling using process graph theory: A framework for analysis

Supply network modeling normally involves large scale and is often highly complex to be defined. Existing methods such as mixed integer linear programming solve the problems of simple decision or of moderate scale, but cannot manage the large scale realistic problems. In addition, they cannot provide alternative solution in case that the optimum solution cannot be applied in real business for various reasons. In this study, graphical representation of supply networks is studied for process graph modeling of a hypothetical example. The proposed graphical approach is expected to overcome these weaknesses of mixed integer programming. It endows visibility to the networks and a set of feasible solutions in the changing business environment.