Toward smart manufacturing using decision analytics

Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014

Volumn , Issue , 2014, Pages 967-977

  Brodsky, Alexander ^a   Krishnamoorthy, Mohan ^a   Menasce, Daniel A ^a   Shao, Guodong ^b   Rachuri, Sudarsan ^b  

^a Krasnow Institute for Advanced Study   (United States)

^b NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

data analytics; decision guidance; decision support; optimization; smart manufacturing

Indexed keywords

FLOW CONTROL; LEARNING SYSTEMS; MANUFACTURE; STOCHASTIC SYSTEMS;

DATA ANALYTICS; DECISION GUIDANCE; DECISION SUPPORTS; MANUFACTURING PROCESS; MODULARS; MONITORING ANALYSIS; OPTIMISATIONS; PLANNING AND EXECUTION; SMART MANUFACTURING; STOCHASTICS;

DECISION SUPPORT SYSTEMS;

EID: 84921740871     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004330     Document Type: Conference Paper

References (22)

1. J. P. Shim, M. Warkentin, J. F. Courtney, D. J. Power R. Sharda, and C. Carlsson, "Past, present, and future of Decision support technology," Decis. Support Syst., Vol. 33 no. 2, pp. 111-126, Jun. 2002.
2. A. Brodsky and X. Wang, "Decision-guidance management systems (dgms): Seamless integration of Data acquisition learning, prediction and optimization," in Hawaii Intl. Conf. System Sciences, Proc. 41st Annual, Jan 2008, pp. 71-71.
3. M. Krishnamoorthy, A. Brodsky, and D. A. Menascé "Temporal manufacturing query language (tmql) for Domain specific composition, what-if analysis, and optimization of manufacturing processes with inventories," Department of Computer Science, George Mason University, Tech. Rep. GMU-CS-TR-2014-3, 2014. [Online]. Available: http: //cs.gmu.edu/-tr-Admin/papers/GMU-CS-TR-2014-3.pdf
4. G. Shmueli and O. R. Koppius, "Predictive analytics in information systems research," MIS Q., Vol. 35, no. 3, pp. 553-572, Sep. 2011.
5. D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis (4th ed.). Wiley &Sons Jul. 2012.
6. P. J. Haas, P. P. Maglio, P. G. Selinger, and W. chiew Tan "Data is Dead without what-if models," PVLDB, Vol. 4 no. 12, pp. 1486-1489, 2011.
7. A. Brodsky and J. Luo, "Decision guidance analytics language (dgal): Toward reusable knowledge base centric modeling," Department of Computer Science George Mason University, Tech. Rep. GMU-CS-TR-2014-6, 2014. [Online]. Available: http://cs.gmu.edu/-tr-Admin/ papers/GMU-CS-TR-2014-6.pdf
8. S. Katz, Y. Labrou, M. Kanthanathan, and K. Rudin, "Method for managing a workflow process that assists users in procurement sourcing, and Decision-support for strategic sourcing," Nov. 21 2002, uS Patent App. 09/858,122.
9. M. Rys, D. Chamberlin, and D. Florescu, "Xml and relational Database management systems: The inside story," in Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, ser. SIGMOD '05. New York, NY USA: ACM, 2005, pp. 945-947.
10. D. Florescu and G. Fourny, "Jsoniq: The history of a query language," Internet Computing, IEEE, Vol. 17, no. 5, pp. 86-90, Sept 2013.
11. P. Fritzson and V. Engelson, "Modelica a unified objectoriented language for system modeling and simulation," in IProc. European Conf. Object-oriented Programming (ECOOP98, ser. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998, Vol. 1445, pp. 67-90.
12. J. Äkesson, K.-E. Ärzén, M. Gäfvert, T. Bergdahl, and H. Tummescheit, "Modeling and optimization with optimica and jmodelica.orglanguages and tools for solving large-scale Dynamic optimization problems," Computers &Chemical Engineering, Vol. 34, no. 11, pp. 1737-1749, 2010.
13. R. Fourer, D. M. Gay, and B. W. Kernighan, "Ampl: A mathematical programming language," AT&T Bell Laboratories Murray Hill, NJ 07974, Tech. Rep., 1987.
14. A. Brook, D. Kendrick, and A. Meeraus, "Gams, a user's guide," SIGNUM Newsl., Vol. 23, no. 3-4, pp. 10-11, Dec. 1988.
15. P. Van Hentenryck, L. Michel, L. Perron, and J.-C. Rgin "Constraint programming in opl," in Principles and Practice of Declarative Programming, ser. Lecture Notes in Computer Science, G. Nadathur, Ed. Springer Berlin Heidelberg, 1999 Vol. 1702, pp. 98-116.
16. W.-C. L. Alex Guazzelli and G. Williams, "PMML: An Open Standard for Sharing Models," The R Journal, Vol. 1, no. 1 pp. 60-65, May 2009.
17. J. Dix, S. Kraus, and V. S. Subrahmanian, "Heterogeneous temporal probabilistic agents," ACM Trans. Comput. Logic Vol. 7, no. 1, pp. 151-198, Jan. 2006.
18. T. Eiter, V. Subrahmanian, and G. Pick, "Heterogeneous active agents, i: Semantics," Artificial Intelligence, Vol. 108 no. 1-2, pp. 179-255, 1999.
19. T. Eiter and V. Subrahmanian, "Heterogeneous active agents ii: Algorithms and complexity," Artificial Intelligence, Vol. 108, no. 1-2, pp. 257-307, 1999.
20. V. Jain and I. E. Grossmann, "Algorithms for hybrid milp/cp models for a class of optimization problems," INFORMS Journal on Computing, Vol. 13, no. 4, pp. 258-276, 2001.
21. A. Brodsky, G. Shao, and F. Riddick, "Process analytics formalism for Decision guidance in sustainable manufacturing," Journal of Intelligent Manufacturing, pp. 1-20, 2013.
22. N. Egge, A. Brodsky, and I. Griva, "An efficient preprocessing algorithm to speed-up multistage production Decision optimization problems," in System Sciences (HICSS), 2013 46th Hawaii Intl. Conf., Jan 2013, pp. 1124-1133