Vasile Danut CLAPA

Title: Contributions to the Management of Production Processes Through Web Mining Technologies based on Rule Systems

Supervisor: Professor Theodor BORANGIU

Final presentation in 2011

Adaptation to the new market conditions in order to manufacture new products at competitive prices is a key element for the survival of businesses in the long term. This adaptation process occurs both at a higher level, through the management of manufactured products, and at a lower level through the reduction of production flaws as well as the consumption of energy and materials for production resources.

At a lower level the resources and the robots performing collaborative actions to accomplish a certain objective require management software in order to manufacture the product sent for execution in an optimal manner, from the point of view of energy, resource and materials consumption.

At a medium level, resource planning for product manufacturing requires specific flaw detection algorithms for flaws occurring after the performance of a certain operation or string of operations in order to remedy them and find new optimal execution pathways from the point of view of time, energy and resource consumption.

At a higher level, companies need to interact with their customers directly, as friendly and as effectively as possible from the point of view of the company’s response to their needs and energy consumption, which requires an application with specific customer behavior detection algorithms in order to foresee their needs and have a minimum vision of the near future from the point of view of the flow of orders, necessary materials and energy in order to successfully deal with the challenges the company will face.

Consequently, this paper deals with the following: decreasing production costs, increasing productivity as a whole, satisfying the customers’ increasing requirements, obtaining as much information as possible regarding future market or company events.

These new properties and the already known properties render the production system highly adaptable to the new production requirements. The occurrence of an event due to a source within or without it make the production system attempt to adapt to the new conditions. Classical production systems with a long history are now highly optimized for their own production slot, but remain rigid to change because they are not sensitive to the changes which directly or indirectly affect production. Heterarchical approaches adapt much better to changes by comparison with hierarchical approaches, but again, due to the general character of system information, the adaptive power can be low.