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.
Original language | English |
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Pages (from-to) | 98-114 |
Number of pages | 17 |
Journal | IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans |
Volume | 43 |
Issue number | 1 |
DOIs | |
State | Published - 2013 |
Keywords
- Control manufacturing
- Modeling
- Resilience
- Serial production network
- Supply chain
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Information Systems
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering