Resumen:
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[EN] Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw
materials and the desired ¿green¿ image, are some of the reasons that lead companies to decide for
implement processes ...[+]
[EN] Purpose: The increase in social awareness, politics and environmental regulation, the scarcity of raw
materials and the desired ¿green¿ image, are some of the reasons that lead companies to decide for
implement processes of Reverse Logistics (RL). At the time when incorporate new RL processes as key
business processes, new and important decisions need to be made. Identification and knowledge of these
decisions, including the information available and the implications for the company or supply chain, will be
fundamental for decision-makers to achieve the best results. In the present work, the main types of RL
decisions are identified.
Design/methodology/approach: This paper is based on the analysis of mathematical models designed
as tools to aid decision making in the field of RL. Once the types of interest work to be analyzed are
defined, those studies that really deal about the object of study are searched and analyzed. The decision
variables that are taken at work are identified and grouped according to the type of decision and, finally, are
showed the main types of decisions used in mathematical models developed in the field of RL.
Findings: The principal conclusion of the research is that the most commonly addressed decisions with
mathematical models in the field of RL are those related to the network¿s configuration, followed by
tactical/operative decisions such as the selections of product¿s treatments to realize and the policy of
returns or prices, among other decisions.
Originality/value: The identification of the main decisions types of the reverse logistics will allow the
managers of these processes to know and understand them better, while offer an integrated vision of
them, favoring the achievement of better results.
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