O sistema MES como ferramenta para aplicação da gestão do conhecimento visando a melhoria do aprendizado de um sistema complexo adaptativo de manufatura sendo um atrator de melhoria do desempenho produtivo

Abstract

The globalization of the economy has provided dynamic and indeterministic market behaviors and has required business organizations, particularly manufacturing commodities, greater ability to adapt to these increasingly frequent changes. Another factor to be considered in manufacturing organizations is the decrease in profit margin due to higher competition in global market and technological innovations. The profit to be made rests almost exclusively to the management of the flow of the production process by streamlining operations and reducing the lead-time of production. In this context, it has demonstrated the inappropriateness of deterministic and reductionist management models, assessing the behavior of the system as the sum of the conduct of the parties, through linear relationships between the guidelines established by management and the expected results of the production operation. This is equivalent to a view that, in taking up a production plan that can be accomplished by the availability of raw materials and production resources, machinery and manpower become simply a matter of implementation and monitoring of the plan of production. What has been found is that the systemic behavior of such organizations is described by interactions between its internal and external parties, where many of these interactions have ordered and non-ordered features simultaneously. Moreover, they are very dependent on the initial conditions for the realization of your planning. It is also observed that these behavioral characteristics of the manufacturing organization can be described as typical of Complex Adaptive Systems (CAS). For these organizations the representative system of the production process is a subsystem of the business organization and can be described as an SCA. In the manufacturing system, parties are formed by agents that have interactions with each other and with the productive environment differently, ie, the interaction of the agents of production differs from the agents of quality in relation to the production environment. The actions of these interactions are complex and ordered and non-ordered while allowing to establish a linear relationship between causes and effects. In this context of complexity, the production system proves more creative and able to adapt in the face of internal and external environment changes. Knowledge management applied systemically through information technology, called MES (Manufacturing Execution Systems), can increase the learning capacity of the system resulting in increased productivity and profitability of the production process evaluated by performance indicators. It will be demonstrated in this dissertation, the fact that knowledge management can establish a better definition of efficient and effective operational actions, from the extraction of tacit knowledge, obtained through interactions with the productive environment, transformed into explicit knowledge and disseminated among other agents. The MES will assist in broadening the perception of the production environment and structured description of the procedures related to the explicit knowledge and also to disseminate knowledge to mitigate losses. The consistency of actions will establish the identity of the organization and consequently its ability to adapt and self-organization.