We consider a single-item production–inventory system under a base stock policy for inventory control. We model the system as a closed Gordon–Newell network. The population size of the network is equal to the base stock level, which is the sum of the finished goods and work-in-process...

This dissertation studies strategies to mitigate the risks associated with operational and strategic decisions of a firm, particularly focusing on project management, product development and procurement decisions. In the first essay we develop two simulation-based methods to evaluate risky...

We consider a decentralized, two-echelon supply chain where the upper echelon --the supplier-- bears the inventory risk. To service the retailers, the supplier either keeps inventory reserved for each of her customers or else pools inventory to share among her customers. The common insight...

Cet article est consacré à l’analyse du choix modal pour le transport de fret. L’analyse est fondée sur le concept de “coûts logistiques totaux” .Ceci implique une attention particulière à tous les coûts dans la chaîne d’approvisionnement, ces derniers étant influencés par le...

It is well known that a one-step scoring estimator that starts from any N^{1/2}-consistent estimator has the same first-order asymptotic efficiency as the maximum likelihood estimator. This paper extends this result to k-step estimators and test statistics for k = 1, higher-order asymptotic...

Inventory models customarily assume that demand is fully satisfied if sufficient stock is available. We analyze the form of the optimal inventory policy if the inventory manager can choose to meet a fraction of the demand. Under classical conditions we show that the optimal policy is again of...

In this paper, the choice between different freight transportation modes is analyzed from the viewpoint of a shipper/receiver. The analysis is based on the concept of total logistics costs. This means that, when comparing different transportation modes, not only the cost of transportation itself...