2015Unpublished venueRequires access

Assessing the benefits of the product postponement strategy to mitigate supply chain risks: A real options-based computational model

C. Carbonara, Nicola Costantino, Roberta Pellegrino

Open publisher page 2 citations

Abstract

The purpose of this paper is to develop a model for the quantification of the costs and benefits associated to a specific supply chain risk management strategy, namely the product postponement strategy (PP). To do this we adopt a real option-based approach and apply the model to a numerical example. The application will show the usefulness of the model in supporting the managers' decision making process on assessing the probabilistic advantages of adopting the PP in risky environments, specifically under conditions of demand and supply disruption.

About this research paper

What this paper is about

The purpose of this paper is to develop a model for the quantification of the costs and benefits associated to a specific supply chain risk management strategy, namely the product postponement strategy (PP). To do this we adopt a real option-based approach and apply the model to a numerical example. The application will show the usefulness of the model in supporting the managers' decision making process on assessing the probabilistic advantages of adopting the PP in risky environments, specifically under conditions of demand and supply disruption.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The purpose of this paper is to develop a model for the quantification of the costs and benefits associated to a specific supply chain risk management strategy, namely the product postponement strategy (PP). To do this we adopt a real option-based approach and apply the model to a numerical example. The application will show the usefulness of the model in supporting the managers' decision making process on assessing the probabilistic advantages of adopting the PP in risky environments, specifically under conditions of demand and supply disruption.

Key concepts: Postponement, Supply chain, Supply chain risk management, Risk analysis (engineering), Product (mathematics), Probabilistic logic, Computer science, Risk management

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