Fluidity models in the supply chain privilege the sustainable integration of capabilities and collaboration among its members in order to guarantee an efficient and safe flow of resources throughout all its processes. This research proposes a fluidity model for the agroindustry supply chain as a solution with regard to the sector’s needs of supply chain processes, and opportunities to collaborate within the field of innovation and sustainability through of traceability and proactive risk management as a tool for creating resilient systems. The model is based on a holistic vision that will allow it to adapt to an ever more complex and continuously transformed global environment that demands solutions to assess the global impact of local decision-making in the supply chain over a period of time, considering its implications and contributions to the agroindustry and agro-logistics sector. Finally, pertinent research areas are identified in the integration of agroindustry supply chain echelons.
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This article analyses four of the most prominent city discourses and introduces the lens of urban vitalism as an overarching interdisciplinary concept of cities as places of transformation and change. We demonstrate the value of using urban vitalism as a lens to conceptualize and critically discuss different notions on smart, inclusive, resilient and sustainable just cities. Urban vitalism offers a process-based lens which enables us to understand cities as places of transformation and change, with people and other living beings at its core. The aim of the article is to explore how the lens of vitalism can help us understand and connect ongoing interdisciplinary academic debates about urban development and vice versa, and how these ongoing debates inform our understanding of urban vitalism.
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Airport capacity has become a constraint in the air transportation networks, due to the growth of air traffic demand and the lack of resources able to accommodate this demand. This paper presents the algorithmic implementations of a decision support system for making a more efficient use of the airspace and ground capacity. The system would be able to provide support for air traffic controllers in handling large amount of flights while reducing to a minimum the potential conflicts. In this framework, airspace together with ground airport operations are considered. Conflicts are defined as separation minima violation between aircraft for what concerns airspace and runways, and as capacity overloads for taxiway network and terminals. The methodology proposed in this work consists of an iterative approach that couples optimization and simulation to find solutions that are resilient to perturbations due to the uncertainty present in different phases of the arrival and departure process. An optimization model was employed to find a (sub)optimal solution while a discrete event-based simulation model evaluated the objective function. By coupling simulation with optimization, we generate more robust solutions resilient to variability in the operations, this is supported by a case study of Paris Charles de Gaulle Airport.
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