this paper deals with an i * corresponding author email address:   nventory system with one central warehouse and a number of identical retailers. we consider perishable-on-the-shelf items; that is, all items have a fixed shelf life and start to age on their arrival at the retailers. each retailer faces poisson demand and employs (1, t) inventory policy. although demand n...

JDMS, Volume 2, Issue 2, April 2005 Pages 87–100 © 2005 The Society for Modeling and Simulation International Traditional multi-echelon inventory and readiness-based models have not fully examined the ability of effective transportation utilization to reduce cost, delay times, and improve readiness in the overall military logistics network. In this paper, we develop a simulation-based methodolo...

We consider a two-stage serial supply chain with capacity limits, where each installation is operated by managers attempting to minimize their own costs. A multiple-period model is necessitated by the multiple stages, capacity limits, stochastic demand, and the explicit consideration of inventories. With appropriate salvage value functions, a Markov equilibrium policy is found. Intuitive profit...

In this work we deal with multilevel integrated distribution problems and in particular, we analyse the management of inventories of final goods in the distribution system. We present a survey of methods proposed in the recent literature devoted to the integration of inventory management systems. Starting from the concept of echelon inventory position we present an approach for the optimal flow...

We consider multi-echelon supply chains, typically consisting of retailer, distributor, manufacturer, etc. The inventory of each actor is subject to its own delay in delivery time, and each chooses its own inventory replenishment strategy. We model this interaction with a system of linear differential delay equations. When put in matrix form the system is triangular and we derive an exact solut...

We consider the problem of minimizing the overall cost of a supply chain, over a possibility long horizon, under demand uncertainly which is known only crudely. Under such circumstances, the method of choice is Robust Optimization, in particular the Affinely Adjustable Robust Counterpart (AARC) method which leads to tractable deterministic optimization problems. The latter is due to a recent re...

As the industrial environment becomes more competitive, supply chain management has become essential. The objective of this research is to develop a multi-echelon inventory model for a deteriorating item and to derive an optimal joint total cost from an integrated perspective among the supplier, the producer, and the buyer. A computer code is developed to derive the optimal solution. A numerica...

Stochastic inventory control in multi-echelon systems poses hard problems in optimisation under uncertainty. Stochastic programming can solve small instances optimally, and approximately solve large instances via scenario reduction techniques, but it cannot handle arbitrary nonlinear constraints or other nonstandard features. Simulation optimisation is an alternative approach that has recently ...

The research in this paper is motivated by a real life spare parts networks for complex technical systems in oil refining sector. At the customers the availability of the installed technical systems often is essential for the primary process. Hence, they require a high availability. For improve the management of the spare parts inventory the main company (the customer) has developed a new strat...