Closed-loop data-driven robust optimization framework for planning supply chain networks
Because of the impact the realizations of uncertainties have on planned systems, much of research works and efforts have been focused on incorporating uncertainties into optimization modelling. A common approach to optimize under uncertainty is the robust optimization paradigm because it only requir...
Saved in:
Main Author: | San Juan, Jayne Lois G. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2021
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdd_induseng/2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Multi-objective robust optimization for the design of biomass co-firing networks
by: San Juan, Jayne Lois G., et al.
Published: (2019) -
Optimal planning of incentive-based quality in closed-loop supply chains
by: Yamzon, Antonio, et al.
Published: (2016) -
A decision support model for spare parts inventory in a multi-echelon closed loop supply chain
by: Sy, Charlle Lee
Published: (2016) -
A cost minimization model for a multi-component product closed loop supply chain considering big data dimensions
by: Chuateco, Pamela Nichole D., et al.
Published: (2021) -
Remanufacturing authorization strategies in closed-loop supply chains
by: Zhou, Qin
Published: (2023)