[01] Masoud Rabbani, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. [02] Raheleh Moazemi, School of Industrial Engineering, Islamic Azad University – South Tehran Branch, Tehran, Iran. [03] Neda Manavizadeh, Department of Industrial Engineering, KHATAM University, Tehran, Iran. [04] Moeen Sammak Jalali, Faculty of Industrial Engineering & Management Systems, Amirkabir University of Technology- Tehran Polytechnic, Tehran, Iran.

In this paper a mathematical model will be presented for the integrated planning of supply, production and distribution problem in a multi-level supply chain which consists of producer, warehouse and customer (retailer) in uncertainty of demand situation. The proposed model provides decision making on uncertain and varying markets with regards to capacity, supply and delivery flexibility. Demand is considered to be a random variable with normal distribution and market frequencies have been incorporated into the model within various scenarios. Planning perspective, in the proposed model, has been divided into a series of strategic decision making periods with them each includes a number of tactical decision making periods and time value of money have been inserted into the model with regard to interest rate. Due to model's complexity in large scales, to solve the model we deployed particle swarm meta-heuristic optimization algorithm.

Distribution Planning, Strategic and Tactical Planning, Flexibility in the Supply Chain, Demand Uncertainty

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