In an effort to compose an optimal supply chain, this paper tries to bring forward a new double agent-based Single Machine Earliness/Tardiness (SET) model. It includes the Sub-agent, which is designed for fairly coordinating and distributing job orders at the mid-stream levels. Extending from the precedent SET model, Collaborative-SET (CSET) has a coordinating Parent-agent, which is responsible for optimizing the information flow and scheduling of the whole supply chain. This is done by coordinating the information flow at the Sub-agents in each stream. In a long run, this new model makes a complex dynamic supply chain more efficient, and improves response time of the whole supply chain. A stimulator that implements the algorithms in this paper is programmed, in order to calculate the amount of information transfer, time and cost incurred between SET model and CSET model. The results generally indicate that the more streams a supply chain has, the better the performance gain is yielded.