| dc.description.abstract | Order planning is an essential part in purchasing procedure of every enterprise. In a multiple supplier environment, distributing parts of demand and allocating orders to different suppliers can be seen as a strategic plan for saving costs and controlling risks. Two of those risks can be delivery lateness and material defectiveness. Hence, this thesis would propose a model to find optimal solutions for three objectives of minimizing total cost (including purchasing cost, ordering cost and inventory cost), minimizing total defective quantity of material and minimizing total late-delivered quantity of material, based on the realistic scenario as the case of Nha Be Steel. In the first approach, the author aims to find the optimal solutions and compromise solution by using CPLEX programming and max-min operator of membership function. Then, an algorithm will be built to find the feasible solution through MATLAB programming. This solution is more applicable and efficient order strategy for larger scale, scenario and practical cases. Finally, result analysis will be implemented to figure out the best-so-far parameter applied in this model.
Keywords: Steel Production; Order Planning; Multiple Supplier; Multi-Objective Model; Heuristic Algorithm. | en_US |
