Research on sustainability performance has considerably enriched operations management literature in recent years. However, work with quantitative models is still scarce. This paper thus contributes to revisit classical inventory models by taking sustainability concerns into account. We believe that reducing all aspects of sustainable development to a single objective is not desirable. We thus reformulate the classical economic order quantity model as a multiobjective problem. We propose to refer to this model as the sustainable order quantity model. Then, a multi-echelon extension of the sustainable order quantity model is studied. For both models, the set of efficient solutions (Pareto optimal solutions) is analytically characterized. These results are used to provide some insights about the effectiveness of different regulatory policies to control carbon emissions. We also propose an interactive procedure that allows the decision maker to quickly identify his / her best option among these solutions. The proposed interactive procedure is a new combination of multi-criteria decision analysis techniques.

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In this paper, we address the dynamic emergency medical service (EMS) systems. A dynamic location model is presented for locating and relocating a fleet of ambulances. The proposed model can control the movements and locations of ambulances in order to provide a better coverage of the demand points. The model can keep this ability under different fluctuation patterns that may happen during a given period of time. A number of numerical experiments have been carried out by using some real-world data sets. They have been collected through the French EMS system at the Hospital Henri Mondor, France. Finally, we present a comparison between the results of the introduced model and the outputs of a classical EMS dynamic location model. According to the observations, the introduced model provides a better coverage of the EMS demands.

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