Name
Title | ||
|---|---|---|
A modeling and aggregation approach for analyzing resilience of manufacturing enterprises |
Abstract | ||
|---|---|---|
We consider modeling of manufacturing enterprises as networks which process, store, and transport materials between enterprise nodes in order to feed customer demand. Each node within the network is represented as a dynamic model with associated costs of production and inventory. Examples of disruptions for such an enterprise could be weather events, material shortages, equipment disasters, or labor events. Using the dynamic model, we consider major disruptions within this network. We present aggregation methods which can support the analysis to evaluate the impact of these disruptions, and develop control strategies that reduce the impact of the disruption. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5346703 | SMC |
Keywords | Field | DocType |
resilience,labor event,equipment disaster,major disruption,production cost,manufacturing enterprise modelling,associated cost,manufacturing,aggregate planning,enterprise node,dynamic model,control strategy,customer demand,customer satisfaction,disruptions impact evaluation,corporate modelling,material shortage,modeling,aggregation approach,aggregation method,industrial economics,nickel,data mining,probability density function,production | Psychological resilience,Aggregate planning,Customer satisfaction,Computer science,Manufacturing enterprises,Production cost,Risk analysis (engineering),Artificial intelligence,Economic shortage,Machine learning | Conference |
ISSN | ISBN | Citations |
1062-922X E-ISBN : 978-1-4244-2794-9 | 978-1-4244-2794-9 | 3 |
PageRank | References | Authors |
0.46 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yao Hu | 1 | 43 | 17.26 |
| Jingshan Li | 2 | 245 | 42.88 |
| Lawrence E. Holloway | 3 | 293 | 36.62 |