Manufacturing System Design for Resilience
Author(s) -
Xi Gu,
Xiaoning Jin,
Jun Ni,
Yoram Koren
Publication year - 2015
Publication title -
procedia cirp
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 65
ISSN - 2212-8271
DOI - 10.1016/j.procir.2015.02.075
Subject(s) - reliability engineering , flexibility (engineering) , resilience (materials science) , redundancy (engineering) , interrupt , production (economics) , computer science , engineering , embedded system , statistics , physics , mathematics , macroeconomics , economics , thermodynamics , microcontroller
Unexpected disruptive events in manufacturing systems always interrupt normal production conditions and cause production loss. A resilient system should be designed with the capability to suffer minimum production loss during disruptions, and settle itself to the steady state quickly after each disruption. In this paper, we define production loss (PL), throughput settling time (TST), and total underproduction time (TUT) as three metrics to measure system resilience, and use these measures to assist the design of multi-stage reconfigurable manufacturing systems. Numerical case studies are conducted to investigate how the system resilience is affected by different design factors, including system configuration, level of redundancy or flexibility, and buffer capacities
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