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Purpose – The purpose of this paper is to provide a new modelling framework for distribution network strategy and to study how various transfer-pricing schemes cope with stochastic demand under different countries tax policies. Design/methodology/approach – Use is made of real options to quantify the available options for supply chain network design. The application of real options approach relies on three main conditions, such as the existence of uncertainty (market), flexibility (different network design) and irreversibility (investments) in the decision process. Findings – Evaluation of the potential impact of changes in local tax policies on long-run plant and distribution centers location decisions. A more intensive tax regime tends to promote changes in the distribution network that support multinational companies. In high uncertain markets, the options to change the network are more attractive – uncertainty is linked with an increase in flexibility. Practical implications – The present study provides decision makers with a useful tool for supporting the design of global logistics networks, considering different scenarios and therefore determines a more after-taxes profitable logistics network configuration. Originality/value – Integrate financial issues while studying different scenarios for supply chain network designs. It presents a model that focus on distribution network design considering transfer-pricing methods as decision variables and aiming after-taxes bottom-line results maximization. There are relatively few “reported” implementations of global profit maximization models for large-scale networks. Thus, we believe that the implementation of global profit maximization models represents a potentially significant unrealized opportunity worthy of serious consideration by many firms.

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The pressure to reduce inventory has increased as competition expands, product variety grows, and capital costs increase. This investigation addresses the problem of inventory quantification and distribution within multi-echelon supply chains under market uncertainty and management flexibility. This approach is based on an optimisation model emphasising demand uncertainty and the relevant dimensions of network design as number of echelons, lead time, service level, and cost of processing activities. Overstock quantification enables the understanding of inventory level sensitivity to market uncertainty. A comparison among production sites and storage facilities revealed that higher downstream overstock levels decrease upstream echelons of uncertainty exposition. The contribution of this study relies on management's ability to establish inventory targets for each stocking point according to risk exposure and to promote the optimisation of working capital. Overall, this investigation increases knowledge related to the treatment of demand uncertainty in flexible and integrated supply chains