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...
محفوظ في:
المؤلف الرئيسي: | San Juan, Jayne Lois G. |
---|---|
التنسيق: | text |
اللغة: | English |
منشور في: |
Animo Repository
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://animorepository.dlsu.edu.ph/etdd_induseng/2 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
المؤسسة: | De La Salle University |
اللغة: | English |
مواد مشابهة
-
Multi-objective robust optimization for the design of biomass co-firing networks
بواسطة: San Juan, Jayne Lois G., وآخرون
منشور في: (2019) -
Optimal planning of incentive-based quality in closed-loop supply chains
بواسطة: Yamzon, Antonio, وآخرون
منشور في: (2016) -
A decision support model for spare parts inventory in a multi-echelon closed loop supply chain
بواسطة: Sy, Charlle Lee
منشور في: (2016) -
A cost minimization model for a multi-component product closed loop supply chain considering big data dimensions
بواسطة: Chuateco, Pamela Nichole D., وآخرون
منشور في: (2021) -
Remanufacturing authorization strategies in closed-loop supply chains
بواسطة: Zhou, Qin
منشور في: (2023)