Reverse logistics network design problem was formulated as a 0-1 mixed-integer programming model and was designed to minimize the total reverse logistics cost,and to pay a.

By establishing a mixed integer programming model, an optimizing method of project planning for integratively considering the relations of cost and time is suggested, thus the accuracy of optimized result is improved.

The paper studies 3P(the third party)reverse logistics recycling system,provides a 3P reverse logistics recy- cling model based on circulatory economy,which is called a mixed integer programming model and solves the mixed model with Lagrangian Heuristics Algorithm.

For the scheduling problem of complicated single-blade cluster tools with re-entrant and parallel chambers,the temporal constraints is derived by analyzing robot actions at the process chambers,robot,as well as parallel and re-entrant chambers,and a mixed integer programming model is built to get optimal sequence and minimal cycle time.

The mixed-integer programming model is formulated, and an approach based on genetic algorithm is developed.

What’s more, a mixed-integer programming model based on constraints was established and utilizing ILOG CPLEX software package, the answer to this massive PJSSP model can be solved in a relat.

Multi-period mixed integer linear programming model and applications for crude selection;

At present, most of crude inventory scheduling optimization problems in refinery are solved by mixed integer linear programming (MILP) based on linear models.