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Purdue University, School of IE, Fall 2009 IE 332 Computing in Industrial Engineering 1 Assignment No. 7 Due Date: Monday, Nov. 30, 2009 Topic: Computing with information & knowledge Reading: Chapter 9. Decision support and AI Lab: Data Base Management with ACCESS; Portal design (1) Knowledge Questions (know the answers, but do not submit.) a) Decision matrix: Fig. 9.2 and answer questions 1, 2, 3 on p. 267. b) Explain: BI; multidimensional data analysis; data mining; DSS (Sec. 9.2). c) Know the capabilities of knowledge dashboards and management cockpits. d) Understand GPS; GIS (and case examples pp. 277-8); “Team Assignment” 3 on pg. 290. (Note: in GIS G is not for Global!) e) Know: Nature and type of decisions (Fig.9.2); Capabilities of DSS (is simulation a DSS?); intelligent systems – Sec. 9.5; NI vs. AI (table 9.3); answers to seven questions (p. 286). (2) Answer and submit your answers to the following questions a) How can (i) ERP (ii) SCM and (iii) MERP decisions be improved by data mining? By
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This note was uploaded on 01/19/2012 for the course IE 230 taught by Professor Xangi during the Spring '08 term at Purdue University.
- Spring '08
- Industrial Engineering