manufacturing control

The continuously growing cost pressure, individual production orders as well as decreasing innovation cycles are only a few characteristics of the vital structural change that the production industry has been confronted with during the past years. In order to stand out against the competitors and to gain an advantage in competition, an enterprise has to have the ability to adjust to the dynamic demands of the internal and external environment. A contribution to that is a flexible control system for the material flow. This article presents a heuristic based algorithm for the hot rolling production scheduling problem of a steel manufacturer.

As a reaction to the growing demands of the market on enterprises, ever more complex procedures for production control are being developed. Most recently, self-organising procedures, which often mimic the behaviour of natu­ral systems (e.g. evolutionary or genetic algorithms), have come to the fore. The methods of Swarm Intelligence and, in particular, the Ant Colony Optimi­zation (ACO), which are characterised by their flexibility and adaptability, could serve as a basis for this. The ifab-Institute has developed a pro­cedure for the short-term, operative manufacturing control based on this approach, which will be presented in this article.

This paper focuses on the application of a bee-like autonomous control method to a matrix-like shop floor model with setup times.Apparently present planning and control systems are unable to cope with the new needs for flexiblity and process reliability resulting from dynamics and complexity in the environment. Autonomous control means de-centralized coordination of intelligent logistic objects in a dynamically changing environment. By the aid of a continuous flow simulation the system’s performance will be analyzed in regard to the application effect on throughput times and inventory levels.

In 2020 production and logistics are faced by a changed periphery of manufacturing. New manufacturing technologies, machine concepts and groundbreaking manufacturing control will be the main fields of innovation in the range of production and logistics. Starting from a scenario of production in 2020 the following concept identifies the drivers of innovation for industrial engineering and in particular for production logistics, that reflect the increasing dynamics and complexity of the changing environment, and points out the resulting fields of innovation.