چكيده به لاتين
Decisions on the design of the supply chain network are among the most important supply chain management decisions that affect the efficiency and effectiveness of the chain. The purpose of the supply chain design, in addition to locating the facility, is to minimize costs such as purchasing, producing, transporting, storing inventory, etc.
In this research, the design of the supply chain network has been done under uncertainty conditions in order to make decisions about the production-routing-inventory model in order to reduce the cost of supply chain supply.
The method of this research is a quantitative method and is based on library studies. First, a reality-based model was presented and the modeling was coded using the GAMS optimization software and solved using the Simplex method.
Subsequently, a production sequence model for decaying items was presented under uncertainty conditions and was linearized too. Since this problem has a combination of integer and continuous variables, it is categorized in the problem of combining numerical integers and solves it in the Np-Hard series of questions, and so, in order to obtain an appropriate and close to optimal solution of the population, Genetic algorithm is used.
Finally, given that the proposed model has parameters that are classified in the corporate confidential documents (such as minimum demand, cost, etc.), it is not possible to provide a case study and a numerical example was designed to test the model and also method of solving and analyze the sensitivity of the model.
The results of the sensitivity analysis of the proposed method showed that necessarily the number of repetitions or large populations does not guarantee a better response. Similarly, the results of the sensitivity analysis of numerical example showed that when the initial material deterioration rate increases, the products containing the primary substance in their composition enter the production line more quickly, and also the total revenue and order quantity of that raw material is reduced.
