Abstract
Rising energy costs and volatile energy prices are motivation to integrate energy consumption with planning processes in manufacturing. Since centralized approaches for Manufacturing Control (MC) tend to ignore local energy related information, it is necessary to examine the potential of decentralized MC approaches. For this purpose, a factory simulation tool has been implemented. This paper presents the underlying assumptions behind the simulation tool and how the MC algorithms it uses are implemented using an agent-based simulation approach.
Highlights
The unsustainable environmental pollution caused by manufacturing companies is an ongoing subject of discussion
It decides if a machine with high or low consumption is used, and if the process runs in times when energy prices are low or high
This paper presents the underlying assumptions and considered manufacturing control (MC) algorithms of the simulation tool and how they are implemented using an agent-based simulation approach
Summary
The unsustainable environmental pollution caused by manufacturing companies is an ongoing subject of discussion. It becomes progressively more interesting to integrate energy consumption with the process of production planning and control [2]. Manufacturing control - and therein, the subtask of machine selection - determines which products are produced on which machines at which time.
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