Journal article
Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts
IEEE transactions on engineering management, Vol.60(4), pp.676-686
11/2013
DOI: 10.1109/TEM.2012.2190986
Abstract
In today's highly dynamic and competitive environment, companies are under the pressure to improve their supply chain strategy in order to be more responsive to customer demand. However, supply chains are susceptible to unanticipated events that make responsive supply chain management a challenging task. One such disruption event is a product stockout at the retailer. In this paper, we investigate retail stockouts through the development of an agent-based simulation model in order to develop a better understanding of the effect of different stockout lengths for different products (with different consumer response profiles to stockouts) on both the retailer and the manufacturer of the product. We consider the change of market share as a measure of resilience for both the manufacturer and the retailer to examine the impact of the stockout. Insights are developed for manufacturers and retailers in responding to the stockout disruption. © 1988-2012 IEEE.
Details
- Title: Subtitle
- Supply Chain Risk Management: An Agent-Based Simulation to Study the Impact of Retail Stockouts
- Creators
- Teresa Wu - Arizona State UniversitySimin Huang - Tsinghua UniversityJennifer Blackhurst - Iowa State UniversityXiaoling Zhang - Harbin Institute of TechnologyShanshan Wang - General Electric
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on engineering management, Vol.60(4), pp.676-686
- DOI
- 10.1109/TEM.2012.2190986
- ISSN
- 0018-9391
- eISSN
- 1558-0040
- Language
- English
- Date published
- 11/2013
- Academic Unit
- Business Analytics; Bus Admin Graduate Programs
- Record Identifier
- 9984201529702771
Metrics
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