  Oil products are the main source of energy in the world today. Distribution
of these products is one of the main issues in the industry. The main tools for
this work are pipelines, and along with it, railways, shipping and roads are
also used. Optimal planning of pipelines is an example of decision-making
problem and was the focus of many researchers in the past years. The use of
mixed integer linear programming (MILP) is one of the efficient methods to
solve this problem. However, models still ignore important operational
challenges. Vulnerability to deal with incidents as well as lack of attention
to other transportation methods as a complement to the pipeline are among the
weak points of the existing models. In this research, we intend to facilitate
the decision-making process for experts in the field of distribution of oil
products. For this purpose, we must improve the existing MILP methods and
modify them for use in the real operational environment in such a way that
sufficient flexibility, the possibility of responding to incidents, and the
ability to revise the program are added to them.
