Name
Abstract | ||
|---|---|---|
This paper is focused on decision analytics for smart manufacturing. We consider temporal manufacturing processes with stochastic throughput and inventories. We demonstrate the use of the recently proposed concept of the decision guidance analytics language to perform monitoring, analysis, planning, and execution tasks. To support these tasks we define the structure of and develop modular reusable process component models, which represent data, decision/control variables, computation of functions, constraints, and uncertainty. The tasks are then implemented by posing declarative queries of the decision guidance analytics language for data manipulation, what-if prediction analysis, decision optimization, and machine learning. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BigData.2014.7004330 | Big Data |
Keywords | Field | DocType |
database languages,learning (artificial intelligence),manufacturing data processing,data manipulation,decision guidance analytic language,decision optimization,machine learning,smart manufacturing,stochastic processes,temporal manufacturing processes,data analytics,decision guidance,decision support,optimization,smart manufacturing | Decision analysis,Data mining,Decision tree,Business analytics,Intelligent decision support system,Computer science,Decision support system,Artificial intelligence,Analytics,Evidential reasoning approach,Decision engineering,Machine learning | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Brodsky | 1 | 510 | 92.99 |
| Mohan Krishnamoorthy | 2 | 1 | 1.45 |
| Daniel A. Menascé | 3 | 903 | 178.30 |
| Guodong Shao | 4 | 97 | 15.18 |
| Rachuri Sudarsan | 5 | 161 | 16.12 |