LAUSR

In today’s dynamic global economy, with highly oscillated demand for any product, safety stock and lead-time management have become even more challenging. In this paper, we develop an integrated supply chain model under continuous-review inventory policy where the lead-time demand is uncertain and the lead-time consists of two components: production time and transportation time; the production time being dependent on ordered quantity and the transportation time being in a range between minimum and normal durations which can be crashed to minimum duration with some additional investment. The unsatisfied demands are partially backlogged with the backlogging parameter being dependent on the time the customers wait before receiving the item. The buyer provides a certain range of price discount to increase the backorder rate. Unlike the previous research, this study considers that the safety factor for the first shipment is different from the rest of the shipments. The model is formulated to find the optimal solution for order quantity, safety factors, price discount, transportation time, and the number of shipments from the vendor to the buyer so that the joint total cost attains the minimum value. Some theoretical results are derived to demonstrate the existence and uniqueness of the optimal solution. It is seen from the numerical study that lead-time reduction is more profitable when the backorder rate depends on both price discount and lead-time.