Inventory control is a crucial activity for many companies. Given the recent advances in information technology, there have never been greater opportunities for coordinated inventory control across supply chain facilities. But how do we design efficient control methods and policies that take advantage of the detailed information that is now becoming available? This doctoral thesis investigates ...

Previous researchers have developed ways of managing forward-oriented supply chains, and gave insight to solve single-stage inventory systems. In this study, we analyze an inventory system with traditional forward-oriented material flow as well as a reverse material flow supply chain. In the reverse material flow, the used products are returned, remanufactured and shipped to the retailer for re...

e establish lower bounds on the minimum costs of managing certain productiondistribution networks with setup costs at all stages and stochastic demands. These networks include serial, assembly, and one-warehouse multi-retailer systems. We obtain the bounds through novel cost-allocation schemes. We evaluate the bounds' performance for one-warehouse multi-retailer systems by comparing them with s...

Globalization, product proliferation and fast product innovation have significantly increased the complexities of supply chains in many industries. One of the most important advancements of supply chain management in recent years is the development of models and methodologies for controlling inventory in general supply networks under uncertainty, and their wide-spread applications to industry. ...

We consider inventory control in a two-echelon divergent network, consisting of a central depot and multiple (non-identical) local warehouses. Past research has shown that (R, S) order-up-to control rules for this system type can easily be obtained using a decomposition approach, where the derivation of the order-up-to level S is separated from the derivation of the rationing parameters. We sho...

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 ...

Globalization, product proliferation, and fast product innovation have significantly increased the complexities of supply chains in many industries. One of the most important advancements of supply chain management in recent years is the development of models and methodologies for controlling inventory in general supply networks under uncertainty and their widefspread applications to industry. ...

Cyclic or non-cyclic planning policies are traditionally used to manage inventories in a multiechelon supply chain. Evaluation of the difference between performances of cyclic and non-cyclic planning policies allows analysing an efficiency of a specific planning policy at the product life cycle specific stage, and provides a control mechanism to switch from one to another policy. The paper is a...