Optimization Research of raw material ordering and transportation scheme based on Improved TOPSIS Evaluation Model

Reasonable selection of superior raw material suppliers is the crux of raw materials supply and scientific optimizational scheme of raw material ordering and transportation is an important measure to ensure the normal production for manufacturing enterprises. Firstly, this paper has determined the 50 most important suppliers of the enterprise, through a quantitative analysis of the 402 suppliers’ supply characteristics. According to the weekly supply information of the suppliers in the past five years, this paper establishes an improved TOPSIS evaluation model and use Matlab programming to get the 402 supplier's evaluation score. On this basis, this paper evaluates the suppliers of the manufacturing enterprise quantitatively, selects the 50 suppliers with the highest score as the 50 most important suppliers, including S229(supplier's ID), S361, S140, S374, S108, etc. Secondly, this paper formulates the optimal raw material ordering and transportation scheme for the enterprise. By establishing a Multi-objective optimization model under the condition of meeting the capacity requirements of the enterprise and not exceeding the maximum transportation capacity of the forwarder, and one of the objective functions is the maximum difference between the quantity of class A raw material and the quantity of class C raw material ordered, and the other objective function is the minimum volume of raw materials ordered by the enterprise. A new ordering scheme for the next 24 weeks was developed using simulated annealing algorithm and solved with Matlab software (see in Table8). Meanwhile Python software is used to program and python kayb algorithm is used to formulate the transportation scheme with the least loss of the enterprise for the next 24 weeks (see in Figure 2).