Abstract: In order to trade off between supply chain resilience and operational cost, a sort of triple feed-forward automatic pipeline, inventory and order-based production control system(TFF-APIOBPCS) is presented. A first order differential feedforward unit, introduced to production control model APIOBPCS, enables the model to mitigate the impact of fluctuations in demand on actual inventory. Aiming at different pole distribution of the production control system, analysis of the relationship between the parameters of first order differential feedforward and resilience are conducted under zero steady-state error. Supply chain operational cost model is constructed by comprehensive consideration of inventory cost and production regulation cost. Supply chain system simulations with a unit step signal and a stochastic signal as the customer demand evaluate the effect of the first order differential feedforward parameters on supply chain resilience and operational cost, and reveal the validity of TFF-APIOBPCS. The results show that, for different degree of volatility of demand, setting the parameters of first order differential feedforward unit reasonably, can obtain better equilibrium of elasticity and operation cost.

Key words: operational cost, parameter analysis, production control system, resilience