Dynamic Lot Sizing in a Self-organizing Production

Abstract

Companies more and more offer individual products to satisfy their customers and stand out from other competitors. Those individual products differ in their production process and thus require many different toolresource combinations, so called setups. In order to reduce the number of setups, shortening the overall setup time, reducing throughput time, while increasing the adherence to delivery dates, we propose a dynamic lot sizing approach that combines separate operations into so-called buckets. In this paper, we present the implementation of the dynamic lot sizing approach in our multi-agent based self-organizing production, using two different production models, which demonstrate the efficiency of our solution in comprehension to an exhaustive rule to create buckets as a results of an empirical study.