Here are some potential MIS solutions for the scenarios provided:
For the late orders issue, develop a tracking system to monitor order fulfillment from receipt to delivery. Set targets and alerts to address delays.
For the overwhelmed customer service team, implement an AI chatbot to handle common inquiries and complaints automatically via email. Forward only complex issues requiring human judgment.
For the long phone wait times, deploy an interactive voice response system with a virtual assistant to answer basic questions. Collect customer data to identify service gaps. Provide estimated wait times and call-back options for non-urgent requests.
For budget planning, create a forecasting model to analyze past income and expense trends. Factor in expected business conditions. Allow "what-if
Decision Support SAs companies migrate toward responsive e-business models, they are investing in new
data-driven decision support application frameworks that help them respond rapidly to
changing market conditions and customer needs.
To succeed in business today, companies need information systems that can support
the diverse information and decision-making needs of their managers and business
professionals. In this section, we will explore in more detail how this is accomplished
by several types of management information, decision support, and other information
systems. We concentrate our attention on how the Internet, intranets, and other
Web-enabled information technologies have significantly strengthened the role that
information systems play in supporting the decision-making activities of every manager
and knowledge worker in business system.One way to understand decision making is to look at decision structure. Decisions made
at the operational management level tend to be more structured, those at the tactical level
are more semistructured, and those at the strategic management level are more unstructured. Structured decisions involve situations in which the procedures to follow, when a
decision is needed, can be specified in advance. The inventory reorder decisions that
most businesses face are a typical example. Unstructured decisions involve decision situations in which it is not possible to specify in advance most of the decision procedures to
follow. Most decisions related to long-term strategy can be thought of as unstructured
(e.g., “What product lines should we develop over the next five years?”). Most business
decision situations are semistructured; that is, some decision procedures can be prespecified but not enough to lead to a definite recommended decision. For example, decisions
involved in starting a new line of e-commerce services or making major changes to employee benefits would probably range from unstructured to semistructured. Finally, decisions that are unstructured are those for which no procedures or rules exist to guide the
decision makers toward the correct decision. In these types of decisions, many sources of
information must be accessed, and the decision often rests on experience and “gut feeling.” One example of an unstructured decision might be the answer to the question,
“What business should we be in 10 years from now?” Figure 10.4 provides a variety of
examples of business decisions by type of decision structure and level of management
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
Decision Support SAs companies migrate toward responsive e-business models, they are investing in new
data-driven decision support application frameworks that help them respond rapidly to
changing market conditions and customer needs.
To succeed in business today, companies need information systems that can support
the diverse information and decision-making needs of their managers and business
professionals. In this section, we will explore in more detail how this is accomplished
by several types of management information, decision support, and other information
systems. We concentrate our attention on how the Internet, intranets, and other
Web-enabled information technologies have significantly strengthened the role that
information systems play in supporting the decision-making activities of every manager
and knowledge worker in business system.One way to understand decision making is to look at decision structure. Decisions made
at the operational management level tend to be more structured, those at the tactical level
are more semistructured, and those at the strategic management level are more unstructured. Structured decisions involve situations in which the procedures to follow, when a
decision is needed, can be specified in advance. The inventory reorder decisions that
most businesses face are a typical example. Unstructured decisions involve decision situations in which it is not possible to specify in advance most of the decision procedures to
follow. Most decisions related to long-term strategy can be thought of as unstructured
(e.g., “What product lines should we develop over the next five years?”). Most business
decision situations are semistructured; that is, some decision procedures can be prespecified but not enough to lead to a definite recommended decision. For example, decisions
involved in starting a new line of e-commerce services or making major changes to employee benefits would probably range from unstructured to semistructured. Finally, decisions that are unstructured are those for which no procedures or rules exist to guide the
decision makers toward the correct decision. In these types of decisions, many sources of
information must be accessed, and the decision often rests on experience and “gut feeling.” One example of an unstructured decision might be the answer to the question,
“What business should we be in 10 years from now?” Figure 10.4 provides a variety of
examples of business decisions by type of decision structure and level of management
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th ed. Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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3. 3
Why?
Understand your role in a system better
Know what systems are available to you
Be a better user to the IT group
Make good IT management decisions
Info Systems cost A LOT of money
4. 4
The Competitive Advantage -
GOOD
Access to a world market
Improve quality
Aid employee communication
Reduce costs
Increase productivity
Improve company morale
Serendipitous
Surfing:
Politics
5. 5
Cost, Risk, and Change - BAD
IT solutions can be
expensive and time
consuming
Element of risk in
the implantation of
IT
Implementing IT
means change
7. 7
Strategic Management
Tactical Management
Operational Management
Plan
Organize
Lead
Control
Clerical Level
Resources Functions
Products &
Services
Business System Model
Employees Managers Government Customers Stockholders
Financial
Institutions
Colleges/
agencies
Media
8. 8
Filtering Information
Clerical Level (Transaction Handling)
Operational Level (Exception Reports)
Tactical Level (What-if Reports)
Strategic Level (One-time Reports, What-if
Reports or Trend Analyses)
The right information
- the right decision maker
- the right time - the right form.
10. 10
What Can Info System Do?
Retrieve
Record
Update
Summarize
Select
Manipulate
Processing
Hard copy
Soft copy
Control
Output
Data
Text
Images
Other digital
information
Storage
Input
Source Data
Inquiry
Response to
prompt
Instruction
Message
Change
12. 12
Transaction Processing Systems (TPS)
Activities:
Transaction handling
Record-keeping
Action documents
Scheduled reports
Primarily support:
Clerical personnel
Operational-level managers
Inflexible
MIS
DSS
EIS
13. 13
Management Information System
An MIS is a computer-based system that
optimizes the collection, transfer, &
presentation of information throughout
an organization by using an integrated
structure of databases & information
flow.
My Definition: System used to support
management activities
14. 14
MIS vs. DP
MIS offers greater flexibility
MIS integrates the information flow
MIS caters to information needs of all
management levels
MIS are more timely and have online
inquiry capabilities
Boosts system security
Management focused reports
MIS uses an integrated database
18. 18
DSS Characteristics
Helps decision maker
Semistructured & unstructured
problems
Most effective for tactical & strategic
management levels
Interactive and user-friendly; little IT
help needed
more. . .
19. 19
DSS Characteristics
Uses models, simulations, &
analytical tools
Readily adaptable to any decision
environment
Interacts with a corporate database
Not used for pre-established
production schedule
Often makes helpful charts
EX: Forecasting; Chase MIS
statistics warehouse analysis
20. 20
DSS Tool Box
Applications Development
Quick application building
Throwaway systems
Support a one-time decision
Data Management
Data Warehousing (combine
and offer preset relationships)
Data Mining (search
warehouse for new
relationships)
more. . .
21. 21
DSS Tool Box
Modeling
Decisions involve many factors
Uncertainty and risk present
Statistical Analysis
Risk Analysis
Trend Analysis
Planning
What-If
Goal Seeking
more. . .
23. 23
EIS – DSS with a twist
Executive Information
System
Just DSS for executives
Each tool is designed
specifically to support
decision making at the
executive levels of
management
Primarily the tactical and
strategic levels
24. 24
Expert Systems
An Expert System is an
interactive system
Responds to questions
Asks for clarification
Makes recommendations
Helps the user in the decision-
making process
Simulates human thought
process
Reasons, draws inferences &
makes judgments (heuristic
knowledge)
Information acquired from live
domain experts
Highest form of knowledge-
based systems, not an
assistant system
25. 25
Expert System Example
Printer - Replace technical support people
Diagnosis help (you relate symptoms and it
asks for more info)
Assistant system (call center; life ins
quotes)
Knowledge base contains
Means of identifying problem
Possible solutions
How to progress from problem to solution
26. 26
Intelligent Agents
Type of artificial intelligence
Agent may work on:
An ongoing goal
An action triggered by an event
A one-time goal
Internet intelligent agents growing
Scan internet for best price
Sort through e-mail for call center
Scan internet or a few databases for best
vacation possibility
27. 27
INFORMATION SYSTEMS
Manual
Data Processing – Filing cabinet
MIS – Timely inquiries, focused reports
DSS – interpret unstructured facts, what if
Expert Systems – move user through
process
Intelligent Agents – event triggers
28. 28
Objective Summary
Different decision types
Structured, semi-structured,
unstructured
4 levels of users (filtering info)
Clerical, operational, tactical, strategic
information system types
Manual, DP, MIS, DSS, (EIS) Expert,
Intelligent Agent
Importance of information systems $$
29. MIS Solution Workshop
Customers are complaining that orders are arriving
late.
Five people handle customer service e-mail every
day, sending some standard replies and
forwarding the rest. They cannot keep up with the
volume.
You run the customer service department for a
retail bank. People are currently on hold for over
20 minutes sometimes.
You are the CEO of a small company. You are
planning your budget for next year, and you need
to know how much income to expect in the next
year. You have been calculating this manually in
the past.
