Title :
Complexity measure of supply chain networks
Author :
Zhu, Song ; Xu, Yong
Author_Institution :
Coll. of Sci., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
In this paper, we use the information entropy method measure and analyze the complexity of supply chain networks. We observe the supply chain networks complexity under the influence of three factors: demand variance pattern, demand information sharing, and lead time. This study shows that, in general speaking sharing demand information, little lead time, and little demand variance can decrease its entropy. Counter-intuitively, under not sharing demand information condition, the customer demand variance decrease may increase the complexity between the supplier order and retailer order. Under sharing customer demand information condition, decrease the lead time may have increase the complexity also between the supplier order and retailer order.
Keywords :
computational complexity; entropy; retailing; supply and demand; supply chain management; complexity measure; customer demand information sharing; demand variance pattern; information entropy method; lead time; retailer order; supplier order; supply chain network complexity; Complexity theory; Educational institutions; Entropy; Materials; Supply chains; Time measurement; Uncertainty; Complexity; Entropy; Supply chain networks;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244356