Production , Manufacturing and Logistics Inventory control of supply chains : Mitigating the bullwhip effect by centralized and decentralized Internal Model Control approaches

In this paper, a two-degrees-of-freedom Internal Model Control structure is incorporated in production inventory control for a supply chain system. This scheme presents an intuitive and simple parametrization of controllers, where inventory target tracking and disturbance (demand) rejection in the inventory level problems are treated separately. Moreover, considering that the lead times are known, this scheme presents a perfect compensation of the delay making the stabilization problem easier to handle. This control structure is formulated for a serial supply chain in two ways (by using a centralized and a decentralized control approach). The behavior of these inventory control strategies is analyzed in the entire supply chain. Analytical tuning rules for bullwhip effect avoidance are developed for both strategies. The results of controller evaluations demonstrate that centralized control approach enhances the behavior with respect to the inventory target tracking, demand rejection and bullwhip effect in the supply chain systems.

[1]  Yanfeng Ouyang,et al.  The bullwhip effect in supply chain networks , 2010, Eur. J. Oper. Res..

[2]  Ramon Vilanova,et al.  Inventory control for the supply chain: An adaptive control approach based on the identification of the lead-time , 2012 .

[3]  Roger Jianxin Jiao,et al.  Production, Manufacturing and Logistics Adaptive Fuzzy Vendor Managed Inventory Control for Mitigating the Bullwhip Effect in Supply Chains , 2022 .

[4]  Ulrich W. Thonemann,et al.  Production , Manufacturing and Logistics Analyzing the effect of the inventory policy on order and inventory variability with linear control theory , 2006 .

[5]  Marko Jaksic,et al.  The effect of replenishment policies on the bullwhip effect: A transfer function approach , 2008, Eur. J. Oper. Res..

[6]  Manoj Kumar Tiwari,et al.  Fuzzy goal programming for inventory management: A bacterial foraging approach , 2011, Eur. J. Oper. Res..

[7]  Stephen M. Disney,et al.  Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..

[8]  Xiaolong Zhang,et al.  Analysis of compound bullwhip effect causes , 2011, Eur. J. Oper. Res..

[9]  Haralambos Sarimveis,et al.  Design of a novel adaptive inventory control system based on the online identification of lead time , 2008 .

[10]  Ignacio E. Grossmann,et al.  A model predictive control strategy for supply chain optimization , 2003, Comput. Chem. Eng..

[11]  David Shan-Hill Wong,et al.  Controller design and reduction of bullwhip for a model supply chain system using z-transform analysis , 2004 .

[12]  Prem Vrat,et al.  Information distortion in a supply chain and its mitigation using soft computing approach , 2009 .

[13]  Evanghelos Zafiriou,et al.  Robust process control , 1987 .

[14]  Haitao Li,et al.  Supply chain configuration for diffusion of new products: An integrated optimization approach , 2011 .

[15]  Daniel E. Rivera,et al.  Simulation-based optimization of process control policies for inventory management in supply chains , 2006, Autom..

[16]  Daniel E. Rivera,et al.  A process control approach to tactical inventory management in production-inventory systems , 2010 .

[17]  S. Disney,et al.  On the bullwhip and inventory variance produced by an ordering policy , 2003 .