This paper focuses on the solution of the optimal diversity management problem formulated as a p-Median problem. The problem is solved for very large scale real instances arising in the car industry and defined on a graph with several tens of thousands of nodes and with several millions of arcs. The particularity is that the graph can consist of several non connected components. This property is used to decompose the problem into a series of p-Median subproblems of a smaller dimension. We use a greedy heuristic and a Lagrangian heuristic for each subproblem. The solution of the whole problem is obtained by solving a suitable assignment problem using a Branch-and-Bound algorithm.
Is it possible to speak of a Husserlian phenomenology of the animal? In his phenomenological analyses, Husserl thematizes animals as a case of “abnormality” in order to investigate the subjectivity that constitutes the human world as a normal world. With respect to other perspectives—such as the Heideggerian one—which imply a drastic separation from animality, Husserl’s standpoint has the advantage of keeping a path of communication open between the phenomenological and the scientific investigation of the problem, in the multifarious forms taken on today by the latter. However, what is the original contribution of phenomenology on this issue, in comparison with that of the empirical sciences? Phenomenology addresses the experience of lifeworld as its own field of activity and as the implicit ground for every scientific observation and reconstruction. Phenomenology, thus, provides a new approach to animal life, avoiding naive ontological assumptions about it.
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