Please use this identifier to cite or link to this item:
Author(s): Pedro Amorim
Douglas Junior
Bernardo Almada Lobo
Title: Risk Management in Production Planning of Perishable Goods
Issue Date: 2013
Description: In food supply chain planning, the trade-off between expected profit and risk is emphasized by the perishable nature of the goods that it has to handle. In particular, the risk of spoilage and the risk of revenue loss are substantial when stochastic parameters related to the demand, the consumer behavior and the spoilage effect are considered. This paper aims to expose and handle this trade-off by developing risk-averse production planning models that incorporate financial risk-measures. In particular, the performance of a risk-neutral attitude is compared to the performance of models takinginto account the upper partial mean and the conditional value-at-risk. Insights from an illustrative example show the positive impact of the risk-averse models in operational performance indicators, such as the amount of expired products. Furthermore, through an extensive computational experiment, the advantage of the conditional value-at-risk model is evidenced, as it is able to dominate the solutions from the upper partialmean for the spoilage performance indicator. These advantages are tightly related to a sustainable view of production planning and they can be achieved at the expense of controlled losses in the expected profit.
Subject: Engenharia, Ciências da engenharia e tecnologias
Engineering, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

Files in This Item:
File Description SizeFormat 
  Restricted Access
Working Paper Risk Management in Production Planning of Perishable Goods3.36 MBAdobe PDF    Request a copy from the Author(s)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.