Applying Goldratt’s Theory of Constraints to reduce the Bullwhip Effect through agent-based modeling
作者：
Highlights：
• TOC versus order-up-to inventory policy comparison using the ‘Beer Game’ scenario.
• KAOS methodology used to devise the multi-agent simulation model.
• Robust SW engineering and TDD techniques used to build the model.
• Bottleneck managed through DBR methodology, placing the drum at the shop retailer.
• TOC philosophy leads the supply chain to a significant decrease of Bullwhip Effect.
摘要
•TOC versus order-up-to inventory policy comparison using the ‘Beer Game’ scenario.•KAOS methodology used to devise the multi-agent simulation model.•Robust SW engineering and TDD techniques used to build the model.•Bottleneck managed through DBR methodology, placing the drum at the shop retailer.•TOC philosophy leads the supply chain to a significant decrease of Bullwhip Effect.
论文关键词：Bullwhip Effect,Drum–Buffer–Rope,KAOS modeling,Multi-agent systems,Supply Chain Management,Theory of Constraints
论文评审过程：Available online 22 October 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.10.022
