Based on these dimensions, Aramyan et al. (2007) theorized a conceptual framework for evaluation of logistics performance, which suggests dividing the analysis of logistics chain performance in four categories or clusters of indicators. The first category is, efficiency which, according to Lai et al. (2002), seeks to measure how resources are used. This category consists of a set of logistical process indicators, such as distribution costs, transaction or possession of stock. The second category, flexibility, supported in the literature by Bowersox and Closs (1996) and Beamon (1998), indicates the ability of the Performance Measurement System to respond to changes in the environment and exceptional customer orders. The third category, called responsiveness, according to Pearson and Olhager (2002), helps to promote what the customer wants in the shortest amount of time. Finally, quality, which is based on the framework by Lunning et al. (2002), represents the particular characteristics of the food supply chain, such as shelf life and product safety, among others