Esparza Valerio, Pamela Brigitte2023-06-012023-06-012020https://dspace.griffith.ie/handle/123456789/263In this study, an Operational Framework for the Manufacturing Industry was shown, which condensates key information and allows supply chain professionals to have a broader perspective on all the elements that compose Supply Chain Operations, as well as the risks within those operations, and a generic Decision-Making approach which can be applied to any of the Drivers of Supply Chain defined in this research study. This research also found that IS contributes to Supply Chain Operations by enabling the processes to flow in harmony and it was pointed out that they are significant in order to improve communication in an organisation, as well as to be able to identify possible disruptions in the Supply Chain Processes to eventually support supply chain professionals making decisions to mitigate potential risks. It has also been shown that the possibilities of risks in supply chain processes are very broad and are connected to various areas of the company. The research methodology for this study was of a qualitative nature. The data was collected using semi-structured interviews. Thus, a technique of data display and analysis was implemented to interpret the study's primary outcome. The main objectives for this research were to develop a clear understanding of how IS can aid in better decision making to support manufacturing companies improving Supply Chain Operations flow; to Identify the drivers in the Supply Chain that support Supply Chain professionals to make decisions; to provide a clear visual relationship between the drivers of supply chain, taking into account the supply chain processes for risk prevention and decision making; and to eventually develop a framework that can support risk mitigation and decision making in the Supply Chain Processes.Thesis