Transcript Computer & Information Systems Division

IE 594:
Research Methods in
Engineering
Information Systems Engineering (ISE)
Research Methods
May 11, 2009
Agenda
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Introduction to ISE
ISE Clustered Research Areas
Research Trends in ISE
ISE Research in MIME
Discussion of articles
Q&A
Introduction to ISE
• Information Systems Engineering (ISE)
– Important and growing area within the IE
profession
• Fairly large and diverse division
– Both manufacturing and service industries
– Both academia and industry
– Job descriptions include consulting, management,
engineering, etc.
ISE Clustered Research Areas
IE Applications
Factory Layout
ISO
Line Balancing
Simulation
Six Sigma Quality
Supply Chain Management
Time Studies
Work Instructions
Manufacturing Management Systems
Data Integration and Migration
Kanban Sizing/Systems
Lean Manufacturing
Manufacturing Costing
Manufacturing Enterprise Modeling
Manufacturing Execution Systems
Manufacturing Information Systems
Middleware design
MRP II and ERP
Decision Support Systems
Artificial Intelligence
Data Mining
Data Structures and Algorithms
Data Warehousing
Expert Systems
Fuzzy Reasoning and Fuzzy Systems
Genetic Algorithms
Knowledge Management, Knowledge Fusion, Knowledge Logistics
Neural Networks
Software Development
Algorithms
Data Modeling
Data Structures
Object-oriented Paradigms
Programming Languages
System Ontologies
System Taxonomies
ISE Clustered Research Areas
Web-based Systems
ASP/Subscription Applications
E-Commerce
Enterprise Computing
Enterprise-wide Information Architectures
File Sharing
Product Data Exchange Technologies
Web Services
Web-based Design and Analysis (Semantic Webs)
New Technology
Automatic Identification and Data Capture
Mobile Computing
Radio Frequency Identification (RFID)
Sensor Networks
Wireless Networking
Analysis and Management of Information
Information Economics
Information Engineering
Information Quality and Reliability
Information Security
Legacy Systems
Performance Analysis of Information Systems
Prediction and Evaluation of Information Systems
Real-time Data Acquisition, Computation, and Control Systems
Simulation of Information Systems
Research Trends in ISE
• What constitutes appropriate research in the
field of ISE?
– First, consider the nature of information systems
themselves
– Then look at what you hope to gain from
undertaking research in the area
• Traditionally, the topic has often been viewed as
residing within the realm of technology
Research Trends in ISE (cont’d)
• Increasingly, however, the focus of study has
extended to include behavioral and
organizational considerations
• This is explained by our wish to:
– Improve the effectiveness of IS implementations in
organizations, and
– Assess that impact on individuals or organizations
Research Trends in ISE (cont’d)
• This wider view of ISE research brings with it:
– Added complexity
– Greater imprecision
– The possibility of different interpretations of the
same phenomena, and
– The need to take these issues into account when
considering an appropriate research approach
Research Trends in ISE (cont’d)
Galliers, R.D., Land, F.F. (1987). Choosing Appropriate Information Systems Research
Methodologies, Communications of the ACM, 30(11), pp. 900-902.
ISE Research in MIME
ISE Research in MIME
• Focus is on technology
– Analysis of the effect on a system as a result of the
implementation of a specific automatic identification and
data capture (AIDC) technology
– Performance characterization of an AIDC technology under
certain environmental conditions
– Optimization of system performance enabled by an AIDC
technology
• Technologies change with time
– Bar codes
– Wireless data collection
• Radio Frequency Data Communications (e.g., 802.11)
• Radio Frequency Identification (RFID)
– What’s next?
ISE Research in MIME (cont’d)
Galliers, R.D., Land, F.F. (1987). Choosing Appropriate Information Systems Research
Methodologies, Communications of the ACM, 30(11), pp. 900-902.
ISE Research in MIME (cont’d)
• Methods
– Design of Experiments
– Mathematical or computational models
– Global optimization heuristics
• e.g., Genetic algorithms
Discussion of Articles
• Artificial Neural Network Approach to Data Matrix
Laser Direct Part Marking
• Performance Evaluation of Heterogeneous Wireless
Local Area Networks
• Effect of Active Interference on the Performance of
Radio Frequency Identification Systems
QUESTIONS?