Designing a Mathematic Model for Optimization of Processes of Production Planning and Inventory Control in Reverse Supply Chain

In this research, production planning and the amount controlling of inventory have been as effective factors in the process of reverse supply chain in flow returned products from customers to producers. Also, as the amount of recoverable as well as recycling returned products factors are in uncertainty and probability condition; therefore, a model which is enable to meet customers ‘needs in terms of least delay time, high flexibility and low cost of supply chain is necessary. The results of multi objective mathematic model is to meet and optimize different objectives as increasing profitability, decreasing cost, decreasing the environment pollution, scrap and processing time. Considering that the reverse supply chain problem is categorized in NP-Hard problems which are not easily solvable by Gradient methods thus other methods like Genetic Algorithm for optimizing production planning and inventory control in reverse supply chain was used.