This way, practitioners in the field can build their own models without having to perform detailed literature search. This paper follows a recipe-based approach, listing the main characteristics of the DEA models for supply chain management. Also, it is not clear what would be an acceptable number of DMUs in comparison to existing research. Je regarde une soluce qui me dit de monter dans lascenseur en haut du phare pour programmer la direction, et sauf abus de ma part, on ne peut pas monter un. votre arrive Voltaic, vous trouvez la porte d'un btiment non alimente en courant. While DEA has been extensively applied in supply chain management (SCM) as well as a diverse range of other fields, it is not clear what has been done in the literature in the past, especially given the domain, the model details, and the country of application. Lorsque vous dbarquez sur l'le, il faut que vous commenciez chercher les sources d'nergie potentielles. DEA returns important benchmarking metrics, including efficiency score, reference set, and projections. The inputs of a DEA model are the resources that the entity consumes, and the outputs of the outputs are the desired outcomes generated by the entity, by using the inputs. The methodology proved to be efficient in the decision analysis presented herein.ĭata Envelopment Analysis (DEA) is a mathematical methodology for benchmarking a group of entities in a group.
The results show that the criteria transportation and market have the most influence in the decision-making process, and that the best alternative for the distribution center was the city of Arapongas (PR).
The model was used to define the location of a distribution center for a furniture and appliance retailer in the state of Paraná, Brazil. The second stage consisted of building a hierarchic structure for making decisions based on criteria and sub-criteria relevant to the process of deciding the location of a distribution center, and applying the Analytic Hierarchy Process (AHP) multicriteria method for all five previously selected candidate cities. In the first stage, a nonlinear programming model was used to establish a reference site in the region under analysis and identify five cities near that location. The model was structured in two stages to consider objective and subjective criteria (multicriteria) for the decision-making process. This paper proposes a model to support the decision-making process of selecting the location of a distribution center for the retail sector.
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