Modeling and Optimization of Stochastic Joint Replenishment and Delivery Scheduling Problem with Uncertain Costs
The stochastic joint replenishment and delivery scheduling (JRD) problem is a key issue in supply chain management and is a major concern for companies. So far, all of the work on stochastic JRDs is under explicit environment. However, the decision makers often have to face vague operational conditi...
Saved in:
| Main Authors: | Lin Wang, Hui Qu, Yanhui Li, Jing He |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2013/657465 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling and Optimization of the Multiobjective Stochastic Joint Replenishment and Delivery Problem under Supply Chain Environment
by: Lin Wang, et al.
Published: (2013-01-01) -
Optimizing the Joint Replenishment and Delivery Scheduling Problem under Fuzzy Environment Using Inverse Weight Fuzzy Nonlinear Programming Method
by: Yu-Rong Zeng, et al.
Published: (2014-01-01) -
Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm
by: Lin Wang, et al.
Published: (2014-01-01) -
Deep Reinforcement Learning for Optimal Replenishment in Stochastic Assembly Systems
by: Lativa Sid Ahmed Abdellahi, et al.
Published: (2025-07-01) -
A systematic literature review on the joint replenishment problem solutions: 2006-2015
by: Leonardo dos Santos Lourenço Bastos, et al.