Resilient control for serial manufacturing networks with advance notice of disruptions

Yao Hu, Jingshan Li, Lawrence E. Holloway

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


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 languageEnglish
Pages (from-to)98-114
Number of pages17
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Issue number1
StatePublished - 2013


  • Control manufacturing
  • Modeling
  • Resilience
  • Serial production network
  • Supply chain

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications


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