Facoltà: Ingegneria Gestionale per la Produzione Industrial
Collocazione: 10646
Autore: Pozzi Rossella
Data: 20/07/2012
Titolo: A simulation based approach to design resilient supply chains: a preliminary proposal
Relatore: Rossi Tommaso
Correlatore: Capeici Chris
Autorizzazione per la consultazione: NO
Le tesi si possono consultare unicamente in sede
The present research focuses on topical and current supply chain issues, i.e. supply chain design and supply chain resilience. In particular, as an exhaustive literature review is performed, an approach to design resilient and robust supply chains, i.e. to figure out, for a given supply chain, the most resilient/robust configuration, is outlined and explained by means of a case study. With reference to the background, the proposed approach is based on the idea that, as supply chains are becoming more vulnerable, their current design should be studied, and, whether necessary, modified increasing their robustness and resilience, to cope with operational risks. In detail, the proposed approach is composed of seven phases: five of them require the supply chain manager and his/her team involvement, one deals with both system logical modeling by the use of Petri nets and discrete event simulation, and one regards the statistical evaluation of the gathered simulation results. In particular, the identification of the research boundaries, the drivers that influence supply chain costs, the operational risks the supply chain under study can deal with, its different configurations, as well as the assessment of the performances achieved by each combination of configuration and identified scenarios are implemented. A twofold measure (i.e. the overall logistics cost estimate and the fill rate) is proposed to evaluate the supply chain current design and the identified alternative configurations. Through its implementation to a real supply chain, the approach turned to be applicable. Thus, managers can evaluate the impact that a particular design feature has on supply chain performances in a given scenario, as well as its robustness to a particular operational risk event. Furthermore, the proposed approach, besides being a tool for performance assessing and redesigning supply chains, also represents a useful instrument for performing a scenario and what-if analysis.
