Papers published in this report series are preliminary versions of journal articles and not for quotations. Abstract This paper extends the real options literature by discussing an investment problem, where a firm has to determine optimal investment timing and optimal capacity choice at the same time under conditions of irreversible investment expenditures and uncertainty in future demand. Afte...

Supply Chain Management (SCM) refers to the problems where the decisions of supply, production and demand are integrated in a single framework. A typical supply chain faces uncertainty in terms of supply, production and demand. Therefore, SCM is largely about managing uncertainty and risks. This paper introduces a simulationand optimisation-based decision support system that helps the scheduler...

In many applications, the network design problem (NDP) faces significant uncertainty in transportation costs and demand, as it can be difficult to estimate current (and future values) of these quantities. In this paper, we present a robust optimization-based formulation for the NDP under transportation cost and demand uncertainty. We show that solving an approximation to this robust formulation...

this paper explains a model for analyzing and measuring the propagation of order amplifications (i.e. bullwhip effect) for a single-product supply network topology considering exogenous uncertainty and linear and time-invariant inventory management policies for network entities. the stream of orders placed by each entity of the network is characterized assuming customer demand is ergodic. in fa...

In this paper, we consider a newsvendor who is going to invest on dedicated or flexible capacity, our goal is to find the optimal investment policy to maximize total profit while the newsvendor faces uncertainty in lead time and demand simultaneously. As highlighted in literature, demand is stochastic, while lead time is constant. However, in reality lead time uncertainty decreases newsvendor's...

We present a robust optimization approach to the problem of pricing a capacitated product over a finite time horizon in the presence of demand uncertainty. This technique does not require the knowledge of the underlying probability distributions, which in practice are difficult to estimate accurately, and instead models random variables as uncertain parameters belonging to a polyhedral uncertai...

Supply chains are subject to various types of uncertainty. According to Geary et al. (2002), these types of uncertainty can be classified in four categories: demand, process, supply, and control uncertainty. In this presentation, we propose and discuss an integrated hierarchical planning approach for supply chains that generates plans which are robust to two particular types of uncertainty, nam...

This paper presents a dual-objective facility programming model for a green supply chain network. The main objectives of the presented model are minimizing overall expenditure and negative environmental impacts of the supply chain. This study contributes to the existing literature by incorporating uncertainty in customer demand, suppliers, production, and casting capacity. An industrial case st...