This book consists of four discrete studies. The first study deals
with the development of a multi-echelon simulation model. It is
demonstrated that design parameter values that give very poor
dynamics across the whole supply chain do not necessarily yield
poor dynamics within a single echelon, so it is essential to
consider the whole supply chain when setting parameter values. The
second study deals with order batching. It is found that the
relationship between batch size and demand amplification is
non-monotonic. The results show that when the quotient of the
average demand and batch size is integer, demand amplification does
not grow with the increase in batch size. The third study explores
the stability boundaries of a multi-echelon capacity constrained
supply chain and evolves the policies that minimize the backlog
bullwhip effect. The last study deals with the net variance ratio
induced by different forecasting techniques with an order-up-to
level stock replenishment policy. It is seen that the bullwhip
effect and inventory variances have distinct properties depending
on the demand forecasting technique.
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