Simulating Vulnerability in Victoria’s Fruit and Vegetable Supply Chain

Leorey Marquez (), Andrew Higgins () and Silvia Estrada-Flores ()
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Leorey Marquez: CSIRO Mathematics, Informatics and Statistics
Andrew Higgins: CSIRO Ecosystem Sciences
Silvia Estrada-Flores: Food Chain Intelligence

Chapter Chapter 8 in Handbook of Operations Research in Agriculture and the Agri-Food Industry, 2015, pp 179-200 from Springer

Abstract: Abstract The horticulture industry in Australia, valued at $3.6 billion per annum, is cyclically subjected to extreme weather events (EWE) that impact on greenhouse gas (GHG) emissions and fuel costs. These EWE threaten the viability of the industry, and a better understanding of these factors is required to improve the industry’s response to these vulnerabilities. This chapter describes the Supply Chain Database Tool (SCDT), a deterministic model that maps distances, GHG emissions, and other parameters during transport and distribution of fruits and vegetables for consumption in Victoria. The model enabled the calculation of relative measures of GHG emissions for a base (business-as-usual) scenario and for EWE scenarios that simulated the effect of catastrophic flooding in northern Victoria in 2011. The model calculated the net increase/decrease of GHG emissions, as a result of switching suppliers from affected areas to suppliers in non-affected areas to meet demand. We highlight opportunities for the SCDT to be used in conjunction with mathematical programming to improve the supply chain resilience to EWE.

Keywords: Supply Chain; Emission Factor; Carbon Footprint; Natural Resource Management; Extreme Weather Event (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-1-4939-2483-7_8

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