عیسی نخعی کمال آبادی

As many researches show the bullwhip effect has undesirable effects especially on multiechelon supply chains which usually enhance the costs of the elements in the chain. One of the most welcomed techniques to reduce such costs focuses on improving the ordering mechanisms. In this research we propose a new ordering model based on the X+Y learning agents with its applications in One-One ordering model, genetic ordering model and finally RLOM ordering model. The results of this research indicate that the X+Y model has potentially the best outcomes in reducing the bullwhip effects when we have necessary deviation from the ordering level by one echelon of the supply chain where the orders are received from downstream customers.