Effect of channel conditions on inventory database update in supply chains

Abstract

The supply chain optimization is becoming more and more important, and more challenging due to its increased complexity. Companies should properly exploit ICT systems to better keep track of their products. Communication techniques employed in the supply chain should be adaptive to any channel condition to assure continuous reliable operation. In this paper, we investigate the effects of channel conditions and the selected error control technique on the supply chain inventory database update in terms of database error rate and end-to-end delay. We derive the analytical expressions and verify them with extensive simulations and show that channel codes adapting to channel conditions would improve reliability of the inventory database.