چكيده به لاتين
Nowadays, supply chain management, which covers production planning for the entire supply chain (from raw material supplier to final customer), has become one of the foundations of operational management. Supply chain management has a huge impact on organizational performance, because there are major competitions in the areas likes price, quality, reliability, customer satisfaction, and flexibility against global market changes.
Each production planning problem begins with specifying the customer's demand in the given period. In most cases, the demand for the product is not determined and no exact information is available. One way to determine the future demand is prediction. Knowing the demand, next step is determining the type and amount of each product. Then, it is time to determine the hierarchical structure of planning. According to hierarchy structure, the planning process should deal with important issue (production-related costs in planning of raw material, manpower, set up, inventory maintenance and etc.) first and then move toward to less important issues (customers' service cost, delays in timely delivery of customers' demand and etc.).
In this research, a production planning model in a supply chain including suppliers, manufacturing plants and customers is presented. The continuous production planning model has been developed with uncertainty considerations. Uncertainty parameters (customer demand, cost coefficients, sales price and etc.) are considered to be fuzzy. The programmed model has four objective functions, which include minimization of all supply chain costs, labor changes and maximum product deficiency alongside maximization of purchase value.
In the end, a case study has been carried out on the steel plant of Amol and the proposed model has been solved based on the data of this company. The results extracted from solving the model has been provided and the importance of different attitudes toward supply chain management is presented based on the results obtained.
