Improving urban food supply chain resilience using discrete-event simulations of local supply chains.
| dc.contributor.author | Wight, Joshua D. D. | |
| dc.date.accessioned | 2024-08-16T00:16:31Z | |
| dc.date.available | 2024-08-16T00:16:31Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Following a disaster, local supply chains are essential to food resilience. Strengthening these supply chains requires the ability to evaluate alternative interventions. However, we must improve our ability to compare how different investment decisions enable local supply chains to deliver sufficient food to retail stores following a disaster. This is of particular concern in the Hutt Valley, New Zealand. The approximately 150,000 residents potentially face 90 days without any road access to the valley in a Mw 7.5 earthquake of the Wellington Fault. The disaster will have major implications on delivering food resources to retail stores in the Hutt Valley, including disruptions to roads, electricity grids, and other critical infrastructure. It is important that residents can access fully functioning supermarkets with food stocks and electricity to run refrigeration and electronic transactions. Emergency managers have identified two potential options: deliver goods including food, generators, and fuel via a sea route on barges over Wellington Harbour or build new/upgrade current road(s). However, both options are highly dependent on good weather. Pre-positioned stock may also be considered if both options are insufficient for delivering food. However, decision-makers currently don’t have the ability to weigh these options or analyse the resources required to deliver sufficient food to the Hutt Valley. We will develop and use a Discrete-Event Simulation (DES) to address this. Using this model, we will explore different local supply chain interventions that strengthen local food distribution following a disaster. The quantitative output provides decision makers with the ability to better understand the risks, resources, uncertainty, and trade-offs of the different intervention options. | |
| dc.identifier.uri | https://hdl.handle.net/10092/107413 | |
| dc.identifier.uri | https://doi.org/10.26021/15454 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.rights | All Right Reserved | |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | |
| dc.title | Improving urban food supply chain resilience using discrete-event simulations of local supply chains. | |
| dc.type | Theses / Dissertations | |
| thesis.degree.discipline | Civil Engineering | |
| thesis.degree.grantor | University of Canterbury | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Engineering | |
| uc.college | Faculty of Engineering |