Scheduling for a Container Supply Chain to Minimize Costs Using the Meta-Innovation Approach

In this study, a problem of scheduling shipping lines for container supply chain is addressed in order to minimize the costs charging ships and cost maintaining inventory empty containers port by considering time window amount fuel. This hard-NP cannot be solved on large scale with precise methods logical time. Therefore, solve optimize model, meta-innovative algorithm, genetic has been used. Also, increase effectiveness parameters algorithm are adjusted using Taguchi method. Finally, number problems have show performance its computational results compared obtained from GAMS software. The study’s demonstrate that efficiency displacement inside ports fuel price overall costs, optimal utilized, table.