A5069580020- Supply Chain and Inventory Management
- Scheduling and Optimization Algorithms
- Energy Efficiency and Management
- Multi-Criteria Decision Making
- Industrial Technology and Control Systems
- Advanced Algorithms and Applications
- Optimization and Mathematical Programming
- Fault Detection and Control Systems
- Sustainable Supply Chain Management
Tsinghua University
2021-2023
Shanghai Jiao Tong University
2019
<p>Demand prediction to support appropriate production decisions is being actively studied. Many models are designed minimize the error, which measured by determining difference between predicted and ground-truth demand. However, these ignore effect of error on downstream decisions. This prompts our study, focuses demand for two-stage uncapacitated lot-sizing problems. In this paper, we present a linear model that minimizes decision optimization objective lotsizing Our mitigates impact...
Demand prediction to support appropriate production decisions is being actively studied. Many models are designed minimize the error, which measured by determining difference between predicted and ground-truth demand. However, these ignore effect of error on downstream decisions. This prompted our study, focuses demand for two-stage uncapacitated lot-sizing problems. In this paper, we present a model that minimizes decision optimization objective Our mitigates impact errors leveraging...
<p>Demand prediction to support appropriate production decisions is being actively studied. Many models are designed minimize the error, which measured by determining difference between predicted and ground-truth demand. However, these ignore effect of error on downstream decisions. This prompts our study, focuses demand for two-stage uncapacitated lot-sizing problems. In this paper, we present a linear model that minimizes decision optimization objective lotsizing Our mitigates impact...