Using stochastic simulation to evaluate the cost-effectiveness of traceability systems: The case of quality control in a fresh produce supply chain

Garcia Martinez, M. and Silva, A. and O'Hanley, J.R. (2011) Using stochastic simulation to evaluate the cost-effectiveness of traceability systems: The case of quality control in a fresh produce supply chain. In: Hoorfar, J. and Jordan, K. and Butler, F. and Prugger, R., eds. Food chain integrity: A holistic approach to food traceability, safety, quality and authenticity. Woodhead Publishing Ltd., pp. 38-50. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:27882)

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Abstract

The objective of this chapter is to estimate, at the firm level, the costs and benefits of upgrading existing traceability systems using stochastic simulation. The proposed changes represent potential improvements to the status quo through the use of advanced diagnostic devices, referred to as 'traceability solutions'. The aim is to estimate the impact of each traceability solution on a firm's profitability. To this end, the chapter uses stochastic (Monte Carlo) simulation and firm-level data from a fresh produce distributor in Spain.

Item Type:	Book section
Subjects:	H Social Sciences
Divisions:	Divisions > Kent Business School - Division > Centre for Logistics and Heuristic Optimisation (do not use) Divisions > Kent Business School - Division > Kent Business School (do not use) Divisions > Division of Human and Social Sciences > School of Economics
Depositing User:	Jesse O'Hanley
Date Deposited:	08 Jun 2011 11:46 UTC
Last Modified:	15 Sep 2021 15:28 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/27882 (The current URI for this page, for reference purposes)
Garcia Martinez, M.:	https://orcid.org/0000-0003-2689-2417
O'Hanley, J.R.:	https://orcid.org/0000-0003-3522-8585

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