Abstract
This paper discusses optimal control policies to achieve resilience in a class of serial manufacturing networks. Resilience is the ability of a system or enterprise to minimize the effects of a disruption. Although resilient manufacturing enterprises have been investigated in many different areas, there has been little analytical investigation into real-time control policies for resiliency. Our goal is to study the real-time resilient control for manufacturing systems through mathematical analysis. To achieve this, we start with developing a model for a general manufacturing network. Then, the optimal control problem is developed for a simple type of serial network called a Decreasing Storage Cost and Decreasing Capacity (DSCDC) network given disruptions with advance warning. It is then shown that the results of the DSCDC network can be generalized to more general serial networks. © 2013 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 98-114 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans |
| Volume | 43 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Research Keywords
- Control manufacturing
- Modeling
- Resilience
- Serial production network
- Supply chain
Fingerprint
Dive into the research topics of 'Resilient control for serial manufacturing networks with advance notice of disruptions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver