– All-unit order frequency discount • 94%-effective policy for a variable base period – Incremental order frequency discount • 94%-effective policy for a fixed base period • 98%-effective policy for a variable base period Introduction • A supply chain is a network of facilities that procure raw materials, transform them into intermediate goods and then final products, and deliver the products t...

In this paper, we establish the convexity of important cost functions in a general class of multi-echelon inventory models. In particular, we first study an assembly system with a single finished product managed using an echelon order-up-to policy. We show that the shortage penalty cost over any horizon is jointly convex with respect to the base-stock levels and capacity levels. Our second resu...

In this study we use a flexible policy of spare part management in the context of airports corrective maintenance activities and provide a new approach for mathematically evaluate the performances of systems with lateral transshipments in case of one-for-one ordering policies, transfer times and peaked demand. This study deals with the spare optimization of a large logistics company, in charge ...

We study a two echelon supply chain with AR(1) demand and unit replenishment lead-times. Each echelon of the supply chain uses conditional expectation to generate MMSE forecasts. Both echelons use these forecasts inside the “Order-Up-To” policy to generate replenishment orders. We investigate 3 different scenarios: The first is when each echelon aims to minimize their own inventory holding and ...

inventory control is one of the most important issues in supply chain management. in this paper, a three-echelon production, distribution, inventory system composed of one producer, a set of wholesalers and retailers is considered. costumers' demands can be approximated by a normal distribution and the inventory policy is a kind of continuous review (r, q). in this paper, a model based on ...

C often face nonstationary demand due to product life cycles and seasonality, and nonstationary demand complicates supply chain managers’ inventory decisions. This paper proposes a simple heuristic for determining stocking levels in a serial inventory system. Unlike the exact optimization algorithm, the heuristic generates a near-optimal solution by solving a series of independent single-stage ...

The paper analyses non-cooperative behaviour in a two-echelon decentralized supply chain, composed of one supplier and n retailers. For sufficient supply from the supplier, we build the approximate decision model of their base stock level, in which the suppliers reactions are not considered, and its non-cooperative behaviour is obtained. For insufficient supply from the supplier, much more comp...

On the basis of analyzing the shortages of present studies on multi-echelon inventory control, and considering some restrictions, this paper applies the joint replenishment strategy into the inventory system and builds a multi-product multi-echelon inventory control model. Then, an algorithm designed by Genetic Algorithm (GA) is used for solving the model. Finally, we respectively simulate the ...

We consider a single-echelon, single-item inventory system where both demand and lead-time are stochastic. Continuous review policy is used to control the inventory system. The objective is to calculate the reorder point level under stochastic parameters. A case study is presented in Neonatal Intensive Care Unit. Keywords—Inventory control system, reorder point level, stochastic demand, stochas...

We consider a multi-item two-echelon inventory system in which the central warehouse operates under a (Q,R) policy, and the local warehouses implement basestock policy. An exact solution procedure is proposed to find the inventory control policy parameters that minimize the system-wide inventory holding and fixed ordering cost subject to an aggregate mean response time constraint at each facility.