Ubiquity of Industrial Engineering Principle - Industrial Engineering is applicable to all branches of engineering.
In each branch of engineering the following three areas of industrial engineering are to be applied to increase productivity and reduce unit cost of output.
Picture Source: https://www.ecpi.edu/blog/what-are-computer-based-information-systems
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Information Systems Industrial Engineering
Costing Information Services
Raymond P. Lutz, Associate Professor of Industrial Engineering
Bull Med Libr Assoc. 1971 Apr; 59(2): 254–261.
In the medical profession information centers, users can benefit directly by having information searched by medical library professionals and readily available. If the users of an information system are to share in the operating expenses, some equitable system of charges must be established. The alternative systems have been reviewed, alternative methods of establishing prices are presented along with a typical example of what these prices might be, ranging from $7.50 to $2.50 per request. The implementation of the cost system is outlined.
Industrial Engineering and Information Systems
Larry E.LongComputers & Industrial Engineering
Volume 2, Issue 1, 1978, Pages 1-6
Abstract
Industrial engineering techniques can increase productivity in computer center operations and user activities by as much as 50–100%.
https://www.sciencedirect.com/science/article/abs/pii/0360835278900025
Areas of Information Systems Industrial Engineering
- Productivity in Computer Center Operations (1978)
- Minimizing Memory Time and Processing Time through Algorithms Improvement
- Programmer productivity
- Computer-aided Software Engineering Tools
- Software Cost Estimation and Reduction
- Lean Software Development
- Manpower Planning for Software Development
- Human Computer Interaction - Fatigue, Comfort and Health Aspects
- DevOps Automation and Productivity
- Data Center Industrial Engineering - Energy Consumption Reduction
- Internet Processes Productivity Improvement
Programmer Productivity
1978Program Complexity and Programmer Productivity
E.T. Chen
IEEE Transactions on Software Engineering ( Volume: SE-4 , Issue: 3 , May 1978 )
A set of empirical data showing programmer productivity as a function of program control complexity is also presented. The data reveals a step-function-like contour to programmer productivity with increasing program control complexity.
https://ieeexplore.ieee.org/document/1702520
Some basic determinants of computer programming productivity
Author: Earl Chrysler
Communications of the ACM, Vol. 21, No. 6, June 1978 https://doi.org/10.1145/359511.359523
https://dl.acm.org/doi/abs/10.1145/359511.359523
1979
Impact of valid selection procedures on work-force productivity. (Remember F.W. Taylor)
Schmidt, F. L., Hunter, J. E., McKenzie, R. C., & Muldrow, T. W. (1979). Impact of valid selection procedures on work-force productivity. Journal of Applied Psychology, 64(6), 609–626. https://doi.org/10.1037/0021-9010.64.6.609
Used decision theoretic equations to estimate the impact of the Programmer Aptitude Test (PAT) on productivity if used to select new computer programers for 1 yr in the federal government and the national economy. Based on the data and its interpretation, it is concluded that the impact of valid selection procedures on work-force productivity is considerably greater than most personnel psychologists have believed.
Human Factors in Software Engineering
December 1979, pp. 6-7, vol. 12
DOI Bookmark: 10.1109/MC.1979.1658569
J.D. Gannon
Software engineering is an effort to reduce the cost of producing software by raising programming productivity and lowering maintenance effort and to increase the benefits of software by extending application areas and improving service.
https://www.computer.org/csdl/magazine/co/1979/12/01658569/13rRUxBa5A8
1992
https://www.andrews.edu/~vyhmeisr/papers/progprod.html
2011
New metric for measuring programmer productivity
Marwa Solla, Ahmed Patel, Christopher Wills
https://www.researchgate.net/publication/241186592_New_metric_for_measuring_programmer_productivity
Study of Task Processes for Improving Programmer Productivity
Doctor of Philosophy Thesis by Damodaram Kamma, Under the Supervision of Prof. Pankaj Jalote
Indraprastha Institute of Information Technology Delhi
March, 2017
https://repository.iiitd.edu.in/jspui/bitstream/handle/123456789/513/PhD1004.pdf
Studying Task Processes for Improving Programmer Productivity
IEEE Transactions on Software Engineering ( Early Access )
Date of Publication: 11 March 2019
https://ieeexplore.ieee.org/document/8664196
What Predicts Software Developers' Productivity?
2019
Emerson Murphy-Hill, Ciera Jaspan, Caitlin Sadowski, David Shepherd, Michael Phillips, Collin Winter, Andrea
Knight, Edward Smith and Matthew Jorde
https://people.engr.ncsu.edu/ermurph3/papers/tse19.pdf
https://ieeexplore.ieee.org/document/8643844
2020
Steve Jobs promised a new age of programmer productivity. With serverless, it's here.
https://cloud.withgoogle.com/build/productivity/serverless-computing-accelerates-programmer-productivity/
Google Cloud’s VP of Apps Prabhakar Raghavan on workplace productivity
https://cloud.withgoogle.com/build/productivity/do-tools-automation-impact-creativity/
Measuring developer productivity in 2020 for data-driven decision makers
By Bill Harding, Programmer/CEO
Published February 25, 2019. Last updated January 29, 2020.
https://www.gitclear.com/measuring_developer_productivity_a_comprehensive_guide_for_the_data_driven
Data Center Productivity and Energy Efficiency
Industrial Engineering in Data Center Design and Processes2020
WHAT IS DATA CENTER EFFICIENCY?
https://www.colocationamerica.com/data-center-metrics.htm
2017
Data center performance
https://w2.cleardb.net/best-practices-for-monitoring-and-measuring-data-center-performance/
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Information Systems Engineering
Jeonbuk National University
Department of Industrial Information Systems Engineering
Department of Industrial Information Systems Engineering deals with the use of computer and information technology and systems in industrial systems. Information system industry and consulting use industrial information systems engineering for reasonable design and operation of IT systems in various economic, industrial and social systems.
Industrial Information Systems Engineering applies scientific principles and information technology to product design and manufacture process, and management of sales and distribution process. Industrial Information Systems Engineering innovates and systematize the corporate work process to provide high-quality products and services with low prices at the right time to the customers, draws reasonable decisions by scientific principles, and uses cutting-edge information technology and internet to establish and operate the latest management system that integrates information delivery and work process. . As the industrial system and social system become more high-level and high-tech, the role of Industrial Information Systems Engineering is expanding.
Department of Industrial Information Systems Engineering was established in March 1986, and aims to foster professionals who are creative and competent, with the basic knowledge and hands-on abilities to make industrial system and social system optimization and information-oriented; the four education goals are:
•Cultivate the basic engineering knowledge as industrial information systems engineering student
•Foster engineering student to have the abilities to manage, plan, analyze, and design
•Cultivate engineering hands-on ability that is suitable for digital, information era
•Cultivate ethics as the righteous engineering student
Main Campus
567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do, 54896 Republic of Korea +82-(0)63-270-2114
http://www.cbnu.edu/eng/?menuID=297&mode=view&pid=626&did=647
The Johns Hopkins Information Systems Engineering program
Courses
PREREQUISITES
605.101 - Introduction to Python
605.201 - Intro to Programming Using Java
605.202 - Data Structures
605.203 - Discrete Mathematics
605.206 - Introduction to Programming Using Python
If your prior education does not include the prerequisites listed under Admission Requirements, you may still be admitted under provisional status, followed by full admission once you have completed the missing prerequisites. All prerequisite courses are available at Johns Hopkins Engineering. These courses do not count toward the degree or certificate requirements.
FOUNDATION COURSES
Students working toward a master's degree in Information Systems Engineering are required to take the following three foundation courses before taking any other courses.
605.601 - Foundations of Software Engineering
635.601 - Foundations of Information Systems Engineering
695.601 - Foundations of Information Assurance
One or more foundation courses can be waived by the student’s advisor if a student has received an A or B in equivalent graduate courses. In this case, the student may replace the waived foundation courses with the same number of other graduate courses and may take these courses after all remaining foundation course requirements have been satisfied.
COURSES BY TRACK
The tracks offered represent related groups of courses that are relevant for students with interests in the selected areas. Students are required to choose a track to follow and to take at least three courses from the selected track, including at least one 700-level course. The tracks are presented as an aid to students in planning their course selections and are only applicable to students seeking a master’s degree. They do not appear as official designations on a student’s transcript or diploma.
CYBERSECURITY *
635.671 - Data Recovery & Continuing Operations
635.672 - Privacy Engineering
635.673 - Critical Infrastructure
635.676 - Cybersecurity in Information Systems
635.775 - Cyber Operations, Risk, and Compliance
635.776 - Building Information Governance
695.601 - Foundations of Information Assurance
695.611 - Embedded Computer Systems-Vulnerabilities, Intrusions, and Protection Mechanisms
695.614 - Security Engineering
DATA ENGINEERING *
605.635 - Cloud Computing
605.662 - Data Visualization
605.741 - Large-Scale Database Systems
605.744 - Information Retrieval
605.788 - Big Data Processing Using Hadoop
635.631 - Foundations of Data Analytics
635.632 - Foundations of Data Engineering
ENTERPRISE AND WEB COMPUTING *
605.681 - Principles of Enterprise Web Development
605.684 - Agile Development with Ruby on Rails
605.784 - Enterprise Computing with Java
605.785 - Web Services with SOAP and REST: Frameworks, Processes, and Applications
605.786 - Enterprise System Design and Implementation
605.788 - Big Data Processing Using Hadoop
635.682 - Website Development
635.683 - E-Business: Models, Architecture, Technologies, and Infrastructure
HUMAN-COMPUTER INTERACTION
605.662 - Data Visualization
635.661 - Principles of Human Computer Interaction
645.650 - Foundations of Human Systems Engineering
645.651 - Integrating Humans and Technology
INFORMATION MANAGEMENT *
605.641 - Principles of Database Systems
605.643 - Linked Data and the Semantic Web
605.644 - XML Design Paradigms
605.741 - Large-Scale Database Systems
605.744 - Information Retrieval
635.621 - Principles of Decision Support Systems
NETWORK ENGINEERING
605.772 - Network Security Management
635.611 - Principles of Network Engineering
635.711 - Advanced Topics in Network Engineering
For students with appropriate backgrounds, the following courses may be taken toward the network engineering track. Advisor approval and permission of the instructor is required.
605.677 - Internetworking with TCP/IP I
605.678 - Next Generation Mobile Networks with 5G
605.771 - Wired and Wireless Local and Metropolitan Area Networks
605.776 - Fourth Generation Wireless Communications: WiMAX and LTE
605.777 - Internetworking with TCP/IP II
605.778 - Voice Over IP
SOFTWARE ENGINEERING
605.601 - Foundations of Software Engineering
605.602 - Software Analysis and Design
605.604 - Object-Oriented Programming with C++
605.607 - Agile Software Development Methods
605.608 - Software Project Management
605.609 - DevOps Software Development
605.701 - Software Systems Engineering
605.704 - Object-Oriented Analysis and Design
605.705 - Software Safety
605.708 - Tools and Techniques of Software Project Management
SYSTEMS ENGINEERING
595.660 - Planning and Managing Projects
635.601 - Foundations of Information Systems Engineering
635.792 - Management of Innovation
645.650 - Foundations of Human Systems Engineering
645.662 - Introduction to Systems Engineering
645.667 - Management of Systems Projects
645.742 - Management of Complex Systems
645.753 - Enterprise Systems Engineering
645.754 - Social and Organizational Factors in Human Systems Engineering
645.757 - Foundations of Modeling and Simulation in Systems Engineering
645.761 - Systems Architecting
645.767 - System Conceptual Design
INDEPENDENT STUDY AND SPECIAL TOPICS
635.795 - Information Systems Engineering Capstone Project
635.801 - Independent Study in Information Systems Engineering I
635.802 - Independent Study in Information Systems and Technology II
*This track requires Data Structures.
https://ep.jhu.edu/programs-and-courses/programs/information-systems-engineering#quickset-program_pages_content_4
605.601 - FOUNDATIONS OF SOFTWARE ENGINEERING
Fundamental software engineering techniques and methodologies commonly used during software development are studied. Topics include various life cycle models, project planning and estimation, requirements analysis, program design, construction, testing, maintenance and implementation, software measurement, and software quality. Emphasized are structured and object-oriented analysis and design techniques, use of process and data models, modular principles of software design, and a systematic approach to testing and debugging. The importance of problem specification, programming style, periodic reviews, documentation, thorough testing, and ease of maintenance are covered.
https://apps.ep.jhu.edu/course-homepages?course_number=605.601
635.601 - Foundations of Information Systems Engineering
Creating and operating large-scale information systems requires a holistic approach that manages the blending of software, hardware, networks, and security inherent in modern systems. This course introduces key elements and processes required for designing, analyzing, developing, and integrating complex information systems. The course focuses on the systems engineering approach with specific emphasis on design, development, and deployment. Topics covered include requirements engineering, architecture development, security engineering, cost-benefit analysis, information and networking technologies, and operations.
https://apps.ep.jhu.edu/course-homepages?course_number=635.601
Technion - Information Systems Engineering
This program is administered jointly by the Industrial Engineering and Management and Computer Science faculties. It is an admissions track requiring application at the time of registration to the Technion.Industrial Engineering and Management:
Professor Lavi Aharon | 04-8294410 | ronlavi at technion.ac.il
Saado Nili | 04-8294405 | nili at cc.technion.ac.il | web.iem.technion.ac.il
Computer Science:
Shamir Hava & Assa Dorit | 04-8294344/4316 | ug at cs.technion.ac.il
https://admissions.technion.ac.il/en/study-tracks/information-systems-engineering/
(C) 2020 Narayana Rao K.V.S.S.
Blog Posts on Information Systems Industrial Engineering
#IT #MIS #productivity #IndustrialEngineering
Information Systems Industrial Engineering - Information Systems Engineering
https://nraoiekc.blogspot.com/2020/07/information-systems-industrial.html
Industrial Engineering - Information Technology Systems - Productivity Improvement and Cost Reduction Processes
https://nraoiekc.blogspot.com/2013/01/information-technology-systems-cost.html
Industrial Engineering in Information Technology (IT) Systems and Organizations
https://nraoiekc.blogspot.com/2020/07/industrial-engineering-in-information.html
News - Information for Information Generation & Transmission - Operation Analysis
Productivity Improvement of Information Systems through Systems Level IE Studies and Operation Level IE Studies
https://nraoiekc.blogspot.com/2020/07/news-information-for-information.html
$2 Trillion Waste In IT Systems? What are we doing?
https://nraoiekc.blogspot.com/2012/12/2-trillion-waste-in-it-systems-what-are.html
Lean Software Development and IT Enabled Services
https://nraoiekc.blogspot.com/2012/04/lean-software-development-and-it.html
Programming Efficiency - Bibliography
https://nraoiekc.blogspot.com/2012/04/programming-efficiency-bibliography.html
Information Systems Industrial Engineering - IEPM 2020 Batch - NITIE
https://nraoiekc.blogspot.com/2020/08/information-systems-industrial.html
Data Center - Data Analytics and Management - Digital Transformation - Bibliography.
https://nraoiekc.blogspot.com/2020/09/unilever-data-centers-data-analytics.html
Productivity Analysis - IT Systems Developers, Developer - Users, and IT Users
https://nraoiekc.blogspot.com/2020/09/productivity-analysis-it-systems.html
Performance Evaluation of Computer Systems
https://nraoiekc.blogspot.com/2020/12/performance-evaluation-of-computer.html
Kubernetes - Cloud Computing - Cost Reduction and Cost Control
https://nraoiekc.blogspot.com/2021/02/kubernetes-cloud-computing-cost.html
Software Process Efficiency - Bibliography
https://nraoiekc.blogspot.com/2012/06/software-process-efficiency.html
API Based Services for Performance Improvement and Productivity Improvement
https://nraoiekc.blogspot.com/2021/06/api-based-services-for-performance.html
Is There a Cost Reduction Benefit in Using Hybrid Computers?
https://nraoiekc.blogspot.com/2021/06/is-there-cost-reduction-benefit-in.html
Document Databases - Alternative to Tabular, Relational Databases for Productivity Improvement
https://nraoiekc.blogspot.com/2021/08/document-databases-alternative-to.html
Google Engineering Productivity Department - Activities and Accomplishments
https://nraoiekc.blogspot.com/2019/03/google-engineering-productivity.html
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