Abstract
Industries with automated discrete production lines struggle with intrinsic process variability affected, among other factors, by the rules that coordinate interactions among machines. This problem involves uncertain and dynamic conditions, and the need for collaboration and conflict resolution mechanisms to minimize disruptions in the production flow and achieve high process efficiency to meet customer demand with minimum inventory levels. A Collaborative Control Theory approach based on three of its principles is developed to solve this problem. Its performance is compared to common industry standard control methods. A case study shows that Collaborative Production Line Control (CPLC) outperform traditional models, achieving a 43% reduction in throughput variability, 24% reduction in WIP, and a 0.5% increase in service level.
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