The different stakeholders involved in urban freight distribution, their behaviours, and interactions are attracting the attention of researchers and practitioners in logistics and freight transport, pushed by the need to develop methods and models for assessing ex ante actions/measures to improve the logistics process performance. Besides, the large amounts of data currently available open up new opportunities, as well as the possibility of using them to review past operations and provide suggestions and guidelines for future decision-making. In this context, to improve city sustainability and liveability, the cooperation and coordination among transport and logistics operators have been some of the measures for optimizing freight operations, with a subsequent reduction in vehicles and traffic impacts. Therefore, opportunities arise to point out the stakeholders' decentralised collaboration and the dynamic information driving urban logistics operations. In this context, this paper presents a microsimulation model framework to support the operational decision-making of an urban supply chain that makes the most of such cooperation and coordination and appropriately responds to the dynamic changes of demand and supply. The model was first tested using data collected in the urban area of Medellin, Colombia and we obtained satisfactory results that show the benefits of implementing such modelling framework to support decision making policies.

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Increased activities in urban areas related with goods transportation lead companies to look for new strategies in order to develop those process in a more efficient way, aiming to reduce costs and increase customer's satisfaction. This paper presents an urban supply chain framework and a Mixed Integer Linear Programing Model for its optimization. The model uses different goods distribution actors, including several suppliers, one consolidation facility and several customers. The proposed framework and optimization model allow to generate optimal routes and the assignment of the customers and suppliers in the distribution network.

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This work aims to apply an integration between a multi-agent system and microsimulation to take advantage of the large amount of data generated in urban freight transport to improve the overall performance of the urban supply chain without forgetting the principles of autonomy that govern each of its actors, responding to the different dynamic scenarios that may arise in the operational context. The integration framework produces a satisfactory communication process in those modeling methods measured by two indexes: throughput and latency. The results of this integration show a robust response to dynamic scenarios and allow reacting to the different quantity of changes without dismissing the search for optimum solutions.