ABSTRACT
There are several starting points and several terminal points, without intermediate nodes.
There are several starting points and several terminal points, with intermediate nodes.
There are main traditional operations research methods for solving logistics scheduling problem such as linear programming, integer programming, unconstrained optimization, nonlinear programming, dynamic programming (Zhao & Dan, 2008) and so on. Among the methods, linear programming model can be used to deal with transportation decision problem in logistics, while storage theory can deal with the storage decision problem in logistics decision. In addition, assignment problem, loading problem, location problem etc. can be solved by integer programming.
