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Managerial Support

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RULE - BASED EXPERT SYSTEM: AI system based on IF - THEN statements (Bifurcation) ... AI SHELL: Programming environment of expert system. INFERENCE ENGINE: ... – PowerPoint PPT presentation

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Title: Managerial Support


1
CHAPTER 6
  • Managerial Support
  • Systems

2
MANAGERIAL SUPPORT SYSTEMS
  • DECISION SUPPORT SYSTEMS
  • DATA MINING
  • GROUP SUPPORT SYSTEMS
  • GEOGRAPHIC INFO SYSTEMS
  • EXECUTIVE INFO SYSTEMS
  • EXPERT SYSTEMS
  • NEURAL NETWORKS
  • VIRTUAL REALITY

3
DECISION SUPPORT SYSTEMS
  • COMPUTER-BASED SYSTEM, USUALLY INTERACTIVE,
    DESIGNED TO ASSIST MANAGERS IN MAKING DECISIONS
  • INCORPORATES BOTH DATA AND MODELS, INTENDED TO
    ASSIST IN THE SOLUTION OF SEMI- OR UNSTRUCTURED
    PROBLEMS

4
DSS COMPONENTS
  • MODEL MANAGEMENT Helps user determine
    appropriate analytic tools
  • DATA MANAGEMENT Provides access to select,
    handle data
  • USER INTERFACE Allows user to interact with
    system

5
TYPICAL DSS APPLICATIONS
  • PROFIT LOSS MODEL
  • MACHINE LOADING OF MACHINES IN A JOB SHOP
  • COST/BENEFIT ANALYSIS
  • PRO FORMA FINANCIAL STATEMENT
  • WHAT-IF ANALYSIS

6
DATA MINING
  • EMPLOYS TECHNIQUES (SUCH AS DECISION TREES OR
    NEURAL NETWORKS) TO SEARCH OR MINE FOR SMALL
    NUGGETS OF INFORMATION FROM VAST QUANTITIES OF
    DATA STORED IN AN ORGANIZATIONS DATA WAREHOUSE

7
DATA MINING TECHNIQUES
  • ONLINE ANALYTICAL PROCESSING Human-driven
    analysis querying a database with specific
    criteria
  • DECISION TREES
  • NEURAL NETWORKS
  • MATHEMATICAL PROGRAMMING
  • STATISTICAL ANALYSIS

8
USES OF DATAMINING
9
USES OF DATAMINING
10
GROUP SUPPORT SYSTEMS (GPS)
  • SYSTEM DESIGNED TO MAKE GROUP SESSIONS MORE
    PRODUCTIVE Brainstorming, issue structuring,
    voting, conflict resolution
  • A VARIANT OF DSS IN WHICH THE SYSTEM IS DESIGNED
    TO SUPPORT A GROUP
  • A SPECIALIZED TYPE OF GROUPWARE

11
GSS CHARACTERISTICS
  • PARALLEL HUMAN PROCESSING
  • EQUAL OPPORTUNITY FOR PARTICIPATION
  • ANONYMITY
  • COMPLETE RECORD OF MEETING
  • OUTPUT OF ONE PHASE LEADS TO NEXT
  • CAN MORE EASILY APPLY STRUCTURE

12
GEOGRAPHIC INFORMATION SYSTEMS (GIS)
  • A COMPUTER-BASED SYSTEM DESIGNED TO COLLECT,
    STORE, RETRIEVE, MANIPULATE, AND DISPLAY SPATIAL
    DATA
  • A SPATIALLY BASED DSS
  • TYPICALLY A DIGITIZED MAP WITH OTHER DATA LINKED
    TO THE MAP COORDINATES

13
TWO TYPES OF GIS
  • RASTER
  • Grids of equal-sized cells groupedor linked to
    make lines and shapes
  • Values of cells vary
  • Example Satellite images, pixels on screen
  • VECTOR
  • Points, Lines, and Polygons
  • Approximates curves, can link into networks
  • Example Property boundaries, sales territories

14
GIS COVERAGE MODEL
  • WHAT IS ADJACENT TO FEATURE?
  • WHICH IS NEAREST SITE?
  • WHAT DOES AREA CONTAIN?
  • WHICH FEATURES DOES THIS ELEMENT CROSS?
  • HOW MANY FEATURES ARE A CERTAIN DISTANCE FROM
    SITE?

15
NEW DIRECTIONS FOR GIS
  • 3-D, DYNAMIC SIMULATION
  • MAP-ENABLED INTERNET SITES
  • GIS EMBEDDED IN APPLICATIONS
  • REAL-TIME TRACKING OF ASSETS-IN-MOTION

16
EXECUTIVE INFORMATION SYSTEMS (EIS)
  • COMPUTER APPLICATION USED DIRECTLY BY TOP
    MANAGERS, WITHOUT THE ASSISTANCE OF
    INTERMEDIARIES, TO PROVIDE THEM ON-LINE ACCESS TO
    CURRENT INFORMATION ABOUT STATUS OF ORGANIZATION
    AND ITS ENVIRONMENT

17
CHARACTERISTICS OF EIS
  • PRIMARILY USED FOR TRACKING AND CONTROL
  • CUSTOMIZED TO THE INDIVIDUAL EXECUTIVE
  • GRAPHICAL
  • EASY TO USE
  • INCORPORATES BOTH HARD AND SOFT DATA

18
ARTIFICIAL INTELLIGENCE (AI)
  • USING THE COMPUTER TO PERFORM TASKS DONE BY
    HUMANS IN SELECTED AREAS
  • NATURAL LANGUAGES
  • ROBOTICS
  • PERCEPTIVE SYSTEMS
  • EXPERT SYSTEMS
  • NEURAL NETWORKS

19
EXPERT SYSTEMS
  • ONE BRANCH OF ARTIFICIAL INTELLIGENCE (AI)
  • CONCERNED WITH BUILDING SYSTEMS THAT INCORPORATE
    DECISION-MAKING LOGIC OF A HUMAN EXPERT IN A
    SPECIFIC SKILL

20
EXPERT SYSTEMS
  • KNOWLEDGE BASE Model of Human Knowledge
  • RULE - BASED EXPERT SYSTEM AI system based on IF
    - THEN statements (Bifurcation) Rule Base
    Collection of IF - THEN knowledge
  • KNOWLEDGE FRAMES Knowledge organizes in chunks
    based on shared relationships

21
EXPERT SYSTEMS
  • AI SHELL Programming environment of expert
    system
  • INFERENCE ENGINE Search through rule base
  • FORWARD CHAINING Uses input, searches rules for
    answer
  • BACKWARD CHAINING Begins with hypothesis, seeks
    information until hypothesis accepted or rejected

22
EXAMPLES OF EXPERT SYSTEMS
  • MYCIN Diagnose, treat blood diseases
  • CATS-1 Diagnose locomotive problems
  • MARKET SURVEILLANCE Detects insider trading on
    stock market
  • FINANCIAL ANALYSIS SUPPORT TECHNIQUE Credit
    analysis in banks
  • INDIVIDUAL DEVELOPMENT PLAN GOAL ADVISOR Helps
    set career goals

23
NEURAL NETWORKS
  • BASED ON HOW HUMAN NERVOUS SYSTEM WORKS
  • USE STATISTICAL ANALYSIS TO RECOGNIZE PATTERNS
    FROM VAST AMOUNTS OF DATA BY A PROCESS OF
    ADAPTIVE LEARNING
  • CONSIST OF SOFTWARE THAT ATTEMPTS TO EMULATE
    PROCESSING PATTERNS OF BIOLOGICAL BRAIN

24
EXAMPLES OF NEURAL NETWORKS
  • BANKAMERICA Neural network evaluates commercial
    loan applications
  • AMERICAN EXPRESS System reads handwriting on
    credit card slips
  • STATE OF WYOMING System reads hand-printed
    numbers on tax forms
  • ARCO AND TEXACO Neural network helps pinpoint
    oil and gas deposits

25
EXAMPLES OF NEURAL NETWORKS
  • SPIEGEL Prune mailing list to eliminate those
    unlikely to order again
  • DEERE COMPANY Pension fund management

26
VIRTUAL REALITY (VR)
  • USE OF COMPUTER-BASED SYSTEMS TO CREATE AN
    ENVIRONMENT THAT SEEMS REAL TO ONE OR MORE SENSE
    (USUALLY INCLUDING SIGHT)
  • USED IN VIDEO GAMES, TRAINING EDUCATION,
    PROVIDING SERVICE AT A DISTANCE, PRODUCT DESIGN,
    INTERACTIVE WORLD WIDE WEB APPLICATIONS

27
CHAPTER 6
  • Managerial Support
  • Systems
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