A novel approach for process mining based on event types
Changrui Ren, Lijie Wen, et al.
SCC 2007
We consider a single-distributor multi-retailer inventory system in six operating scenarios for a finite horizon. Five scenarios are in decentralized control and the other one is in centralized control. Approximate dynamic programming (ADP) procedures are developed to obtain system performances for scenarios in decentralized control, and a stochastic dynamic programming approach is applied to the scenario in centralized control. The efficiency and effectiveness of ADP procedures are demonstrated by numerical results. Taking the system performance in centralized control as a benchmark, system performances in decentralized control are investigated and compared for different operating scenarios. The results provide useful insights in system planning and operations. © 2010 Elsevier B.V.All rights reserved.
Changrui Ren, Lijie Wen, et al.
SCC 2007
Minmin Qiu, Hongwei Ding, et al.
SCC 2007
Xiaobo Zhao, Minmin Qiu, et al.
Computers and Operations Research
Hongwei Ding, Wei Wang, et al.
WSC 2007