This chapter shows how to make an enterprise diagnosis and how, with the right tools, a better management of dynamic knowledge can be established. The chapter begins by examining the Logistic Model Based on Positions (LoMoBaP) and using the position of Customer Services Manager to perform an enterprise diagnosis. The results of this are then expressed through a Matrixes Of Weighing (MOW). The general objective of the chapter is to show how by making the diagnosis of a company through the Customer Services Manager, which is one of the positions of the Logistic Model Based on Positions, and expressing this diagnosis through Matrixes Of Weighing, a dynamic knowledge base that will allow the company an efficient knowledge management, specifically for the most important management aspects, is generated.

The main contribution of this chapter is the study of the generation and management knowledge, emphasizing the social aspects, from an area of the Logistic Model Based on Positions (LoMoBaP). The area to use is the Inverse logistics, which is integrated for the Reverse logistics manager, the Compilation and Reception manager and the Classification and use manager. The analysis will be done via dynamic knowledge, studying the upward spiral of knowledge creation, tacit to explicit to tacit. To do this will be constructed tables where the functions of these three positions will be identified and will be discussed, as these functions are involved in the process of management and generation of knowledge, following the processes of Socialization, Externalization, Combination and Internalization, simultaneously that are located in the Ba and knowledge assets are analyzed: Experimental, Conceptual Systemic and Routine Knowledge.

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This article relates relevant aspects of business: logistics, innovation, female participation and multicriteria models. One issue that is paying close attention is the participation of women in different social spheres, including business. On the other hand, logistics is related to practically all areas of an organization, which can be visualized, when studying it supported, in the Logistics Model Based on Positions (MoLoBaC). There are other models that interest this work, such as multicriteria models, in particular the multiattribute models with multiplicative factors (MMcFm). Also, companies maintain and prosper thanks to their ability to manage innovation. The confluence of these four fields of knowledge generates the general objective of this research: Use of the different areas of the logistics model based on positions to measure, through a multiattribute model, the female participation in logistics, having as a thread the innovation processes.