A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties

Abstract

The resilience property is critical to the practical operations of an enterprise system, since the unforeseen circumstances would seriously degrade the system performance. This paper first discusses the concept of resilient scheduling for manufacturing systems, then proposes a three-layer resilient scheduling paradigm to divide the control policy into three modes, which are the processing sequence regulation, the system parameter adjustment, and the structure modification. Subsequently, a big data driven framework is designed to protect the manufacturing systems from these changes. Finally, a case study about aircraft horizontal tail assembly shop is implemented to illustrate the effectiveness of the data driven resilient scheduling framework.