Metodi di Supply Network Design in presenza di disruptions

Enterprises worldwide are facing significant challenges from the growing competition and the destabilising effects of climate, disease, and other external perils. Supply chain (SC) networks become more and more complex and widely geographical extended. SCs are exposed to a broad range of uncertainties, some of which may cause disruptions in the network. Neglecting this kind of risks may lead to adverse consequences such as negative financial effects, higher transportation costs, order delays, inventory shortages and loss of market shares. Disruption management is, therefore drawing significant attention from both academia and industry. The frequent disruption events that have been continuously increasing over recent years have clearly shown the key role of supply chain management as a critical capability to navigate such risk successfully, with the aim to design robust and resilient logistics network to help firms maintain and enhance their competitive advantages as they encounter environmental turbulence. To hedge against SC disruptions, a well-designed and reliable network that performs efficiently in normal situation and resiliently during unstable conditions is a top priority. This dissertation investigates how supply network design procedure should adapt due to disruption risks consideration. After an extensive analysis of the literature, a new mathematical model for the design and planning of three-echelon resilient SCs is proposed. Distinctively, a combination of proactive and reactive resilience actions were considered with the objective to analyse the effectiveness of adopting mitigation and contingency activities to efficiently plan for redundancies and recovery actions. This research work allowed to identify important relations between disruption duration/magnitude and efficiency of preparedness and adaptation strategies. The outcome of this research can be instructive for SC managers when deciding on investment in redundancy allocation and on efficient use of this redundancy at recovery stages and preparedness strategy.