Multiobjective Decision Programming for the Multiobjective Minimum Cost Flow Problem

摘要

Transportation mode selection decisions are becoming increasingly difficult as supply chains expand and the transportation domain adapts. In order to handle these growing complexities, we combine network optimization, multiobjective programming, and multiobjective decision analysis. Specifically, we define Multiobjective decision programming from multiobjective programming and multiobjective decision analysis and apply it to the multiobjective minimum cost network flow problem. The result is a more accurate representation of the transportation mode selection decision environment, and a unique methodology applicable to a variety of problems.