The Bullwhip Effect—Impact of Stochastic Lead Time, Information Quality, and Information Sharing: A Simulation Study
By Dean C. Chatfield, Jeon G. Kim, Terry P. Harrison, J. Hayya. 2004
387 citations recorded by the source corpus.
Subfields: Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/0ec05f6d0458e44ae2c0f67d5c49e8432c705c57
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Roberto Montanari
- Manfredi Bruccoleri
- Huynh Trung Luong
- J. Framiñán
- Truong Ton Hien Duc
- Salvatore Cannella
- Eleonora Bottani
- Matthew W. McCarter
In Strategy and Management
- Manfredi Bruccoleri
- Huynh Trung Luong
- J. Framiñán
- Truong Ton Hien Duc
- Salvatore Cannella
- Eleonora Bottani
- Gregory M. Magnan
- Anand Nair
Citations in the corpus
- A measure of the bullwhip effect in supply chains with stochastic lead time (2008, background): “Assumptions of deterministic lead-time in these studies are especially restrictive since lead times actually are not deterministic in many supply chains [ 22 ].”
- Closed-loop supply chains: What reverse logistics factors influence performance? (2016, background): “Manufacturing and distribution lead times are recognized among the operational variables that mostly impact the effectiveness of operations in the SC (Ciancimino et al., 2012; Chatfield et al. 2004).”
- Supply chain design and cost analysis through simulation (2010, background): “…equal, the bullwhip effect is greater under absence of information sharing This result is known in literature (Lee et al. 2000, Chen et al. 2004, Chatfield et al. 2004) and should be ascribed to the possibility of supply chain players to exploit POS data, rather than orders, to forecast demand,…”
- Information sharing and supply chain performance: the role of connectivity and willingness (2007, background): “Advances in information technology have changed modern business practice, making collaborative supply chain management (SCM) possible (Cachon and Fisher, 2000; Chatfield et al., 2004; Lee et al., 2000; Li, 2002).”
- Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective (2007, methodology): “Methodologically, computer-based simulations have been leveraged for interorganizational supply network research as well (Lin & Shaw, 1998; Swaminathan, Smith, & Sadeh, 1998; Tan, 1999; Chatfield, 2001; Chatfield et al., 2004; Sawaya, 2006; Pathak et al., 2007).”