The document discusses developing recommendation reports for technical problems and projects. It provides examples of recommendation reports that:
1) Describe the nature of a technical problem involving clock skew in high-frequency digital systems. It recommends developing a SAR-controlled DLL deskew circuit to address the problem.
2) Describe an issue with constructing 3D faces from 2D images. It recommends developing an efficient 3D face model that can generate a 3D image from three 2D photos, reducing time and improving precision over manual methods.
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
For more classes visit
www.snaptutorial.com
Multiple-Choice Questions
1. The process by which a financial transaction is recorded so that its flow through the system can be followed is called:
a) Financial shadowing
b) Managerial trace technique
c) Concatenation
d) Audit trail
For more classes visit
www.snaptutorial.com
Multiple-Choice Questions
1. The process by which a financial transaction is recorded so that its flow through the system can be followed is called:
a) Financial shadowing
b) Managerial trace technique
c) Concatenation
d) Audit trail
CENTRE FOR CONTINUING EDUCATION EXECUTIVE MBA (OIL & .docxarnit1
CENTRE FOR CONTINUING EDUCATION
EXECUTIVE MBA
(OIL & GAS MANAGEMENT)
BATCH: _______________________
SEMESTER: _______________________
NAME: _______________________
SAP NO/REGN NO: _______________________
ASSIGNMENT – 1
FOR
Operations and Materials Management
MBCQ -722
UNIVERSITY OF PETROLEUM & ENERGY STUDIES
Last Date of Submission:-15th April 2012
Section‐A
(Short Answer Questions) Marks: 4×5=20
1. For the following organizations, explain how their operations functions can support business
strategy, implement business strategy and drive business strategy:
‐ a fast‐food restaurant
‐ a film‐processing service
‐ an oil refinery.
2. Why is operations management relevant to managers in other organization functions?
3. Using an example of your own choice, describe how the cost of the operation might be affected by
changing the levels of performance of quality, speed, dependability and flexibility.
4. Draw the hierarchy of operations for a small manufacturing company.
Section‐B
(Long Answer Questions) Marks: 3×10=30
1. A company which specializes in fabricating large lathes inspects every lathe before it is shipped to
the customer’s site. Given below are the defects found on a sample of 10 lathes.
Sample
No.
1 2 3 4 5 6 7 8 9 10
No.
Defects
2 1 0 3 4 2 2 3 4 1
Find whether the processes are under the control for 99 percent defects. Justify your answer
2. A firm is planning to set up a production line to assemble 300 units per hour, and 50 minutes
per hour are productive. The time to perform each task and the tasks that must precede each
task are:
=======================================================================
Task That Time to Tasks That Time to
Immediately Perform Task Immediately Perform Task
Task Precedes (Minutes) Task Precede (Minutes)
‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐
A ‐‐ .69 F B 1.10
B A .55 G C,D,E .75
C B .21 H G,F .43
D B .59 I H .29
E B .70
=======================================================================
a. Draw a diagram of precedence relationships.
b. Compute the cycle time per unit in minutes.
c. Compute the minimum number of work stations required to produce 300 units per hour
and find the efficiency of the balance line
3. What is statistical process control (SPC)? Explain why x and R charts are used together?
Section‐C
(Caselets/Situational Questions) Marks: 2×25=50
1. Inventory management in some operations is more than just a part of their responsibility; it is their
very reason for bein ...
Foods Case Study
What to cover
Executive summary
Define Phase
Measure Phase
Analyze phase
Improve phase
Control Phase
Conclusion
1. Executive Summary
In December 2008, the company began to receive heavy surcharge from local authorities because of their poor water quality, mainly due to an excess of biological waste entering the sewer system.
Biological Oxygen Demand (BOD) The amount of oxygen needed by bacteria to decompose all the solid wastes in wastewater. Accounted for 74% of the resulting fees. The total bill for poor water quality reached $204,000 in 2009.
A six-sigma team was tasked to extremely reduce the BOD, after 6 months they reached 70% with a goal of 95%.
2. Define Phase
Project Charter
Project NameBOD Reduction at Kahiki FoodsCommencement DateSep, 2009Project SponsorKahiki FoodsCompletion DateDec, 2010Expected Hard Cost Reduction$195,000Expected % Reduction95%
Project Mission
The main objectives are:
Intense reduction in solid waste entering floor drains.
Increase output at different plant processes.
Green initiative for the organization.
$195,000 hard cost reduction.
Problem Statement
Per local authorities BOD levels shouldn’t exceed 250mg/L
Kahiki had BOD waste levels of 3864mg/L, 1546% higher than upper spec limit
The source of the waste was obviously originating from inefficient floor drain management
6
Goal Statement
At least a 50% BOD reduction in 6 months and establishing a sustainable system able of reaching the goal of 95% reduction.
Process map
SIPOC map
8
3. Measure Phase
The waste removal system doesn't meet the spec.
Process Capability Charts
Measurement Plan
Demand Analysis
Metrics Used To Determine Water Quality
Biological Oxygen Demand (BOD)
Total Suspended Solids (TSS)
Total Kjeldahl Nitrogen (TKN)
BOD Process Capability Charts
TSS Process Capability Charts
Measurement Plan
N/B In any area of concern, should there be a negative response on any unit, the unit is rendered incomplete and therefore a defect.
13
Data Collection Challenges
System changed in 2007.
Standard sampling schedule 3 site visits/year moved to monthly.
Data collection visibility most critical points came from cleanup shift.
The above assessment was done by five individuals who were, one hired external expert, two quality assurance officers at the state government, while two are community professionals. MSA is an experimental process and require more views from different quotas of different levels of understanding to make independent judgments on quality (McCarty, 2005).
14
4. Analyze Phase
5 Why Analysis.
FMEA.
Gap analysis.
Fishbone diagram.
Hotspot heat map.
Regression Analysis.
Benchmarking.
5 Why Analysis
Plant Floor Drain Hotspot Heat Map
5. Improve phase
Improved Solid/Liquid Separation.
Reducing Waste Creation.
Employee Training.
Best Practice Identification.
WAP Committee: A "Waste Awareness Program“.
Error Proofing: Adding visual S ...
Six Sigma ReportHammettSix Sigma DMAIC Project Report Templa.docxwhitneyleman54422
Six Sigma Report
HammettSix Sigma DMAIC Project Report Template
Comments
· The following template provides guidelines for preparing a Six Sigma written certification project report. Subheadings and length of each section will obviously vary based on your findings and writing style. For a complete sample report using the template, see “Sample Project Report”.
· The information in your report should follow the Six-Sigma Problem Solving Methodology DMAIC. This includes a description of the project, key points in the problem-solving process, and detailed support for your conclusions and any recommendations. Reports should be approximately 10-12 double-spaced pages (excluding appendices), including tables and figures.
· Some general guidelines for grammar and format are provided for your reference at the end.
· Some information contained in this template is repetitive across sections. However, since different audiences will read your report to various degrees of depth, we believe that it is essential to repeat certain information. Ultimately, you should produce a high quality, professionally-presented report that has sufficient detail to help other Six Sigma practitioners utilize and build upon your project findings.
Title of Report
Submitted to:
Name, Title
Department/Organization
Address (optional)
Prepared by:
Name, Title
Department/Organization
Address (optional)
Date Submitted
Note: Do not put a page number on your title page. Begin numbering the pages with the Executive Summary.
Executive Summary
The Executive Summary presents the major information contained in the report. Its readers are typically managers who need a broad understanding of the project and how it fits into a coherent whole. These readers do not need or want a detailed understanding of the various steps taken to complete your project. Therefore, the Executive Summary allows readers to learn the gist of the report without reading the entire document, to determine whether the report is relevant to their needs, or to get an overview before focusing on the details. We consider writing a concise (typically one-page) and comprehensive executive summary a critical element of a Six Sigma project report. TheExecutive Summary should NOT include terms, abbreviations, or symbols unfamiliar to the reader. Readers should understand the content of the Executive Summary without reading the rest of the report.
The Executive Summary should include a problem statement, summary of approach used, and major project findings and recommendations.
· Problem Statement / Description
· Concisely describe the problem (few sentences).
· Identify the time period of the problem
· Quantify the degree of the problem and its impact on the business (if possible).
Example: During the past year, the average # of incoming calls with complaints per card-year has increased by 20%. These additional calls have resulted in additional staffing and facility costs of ~$100K per year. This proj.
CHAPTER Modeling and Analysis Heuristic Search Methods .docxtiffanyd4
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. .
CHAPTER Modeling and Analysis Heuristic Search Methods .docxmccormicknadine86
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. ...
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
“ help.mbaassignments@gmail.com ”
or
Call us at : 08263069601
For more classes visit
www.snaptutorial.com
Multiple-Choice Questions
1. The process by which a financial transaction is recorded so that its flow through the system can be followed is called:
a) Financial shadowing
b) Managerial trace technique
c) Concatenation
d) Audit trail
For more classes visit
www.snaptutorial.com
Multiple-Choice Questions
1. The process by which a financial transaction is recorded so that its flow through the system can be followed is called:
a) Financial shadowing
b) Managerial trace technique
c) Concatenation
d) Audit trail
CENTRE FOR CONTINUING EDUCATION EXECUTIVE MBA (OIL & .docxarnit1
CENTRE FOR CONTINUING EDUCATION
EXECUTIVE MBA
(OIL & GAS MANAGEMENT)
BATCH: _______________________
SEMESTER: _______________________
NAME: _______________________
SAP NO/REGN NO: _______________________
ASSIGNMENT – 1
FOR
Operations and Materials Management
MBCQ -722
UNIVERSITY OF PETROLEUM & ENERGY STUDIES
Last Date of Submission:-15th April 2012
Section‐A
(Short Answer Questions) Marks: 4×5=20
1. For the following organizations, explain how their operations functions can support business
strategy, implement business strategy and drive business strategy:
‐ a fast‐food restaurant
‐ a film‐processing service
‐ an oil refinery.
2. Why is operations management relevant to managers in other organization functions?
3. Using an example of your own choice, describe how the cost of the operation might be affected by
changing the levels of performance of quality, speed, dependability and flexibility.
4. Draw the hierarchy of operations for a small manufacturing company.
Section‐B
(Long Answer Questions) Marks: 3×10=30
1. A company which specializes in fabricating large lathes inspects every lathe before it is shipped to
the customer’s site. Given below are the defects found on a sample of 10 lathes.
Sample
No.
1 2 3 4 5 6 7 8 9 10
No.
Defects
2 1 0 3 4 2 2 3 4 1
Find whether the processes are under the control for 99 percent defects. Justify your answer
2. A firm is planning to set up a production line to assemble 300 units per hour, and 50 minutes
per hour are productive. The time to perform each task and the tasks that must precede each
task are:
=======================================================================
Task That Time to Tasks That Time to
Immediately Perform Task Immediately Perform Task
Task Precedes (Minutes) Task Precede (Minutes)
‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐
A ‐‐ .69 F B 1.10
B A .55 G C,D,E .75
C B .21 H G,F .43
D B .59 I H .29
E B .70
=======================================================================
a. Draw a diagram of precedence relationships.
b. Compute the cycle time per unit in minutes.
c. Compute the minimum number of work stations required to produce 300 units per hour
and find the efficiency of the balance line
3. What is statistical process control (SPC)? Explain why x and R charts are used together?
Section‐C
(Caselets/Situational Questions) Marks: 2×25=50
1. Inventory management in some operations is more than just a part of their responsibility; it is their
very reason for bein ...
Foods Case Study
What to cover
Executive summary
Define Phase
Measure Phase
Analyze phase
Improve phase
Control Phase
Conclusion
1. Executive Summary
In December 2008, the company began to receive heavy surcharge from local authorities because of their poor water quality, mainly due to an excess of biological waste entering the sewer system.
Biological Oxygen Demand (BOD) The amount of oxygen needed by bacteria to decompose all the solid wastes in wastewater. Accounted for 74% of the resulting fees. The total bill for poor water quality reached $204,000 in 2009.
A six-sigma team was tasked to extremely reduce the BOD, after 6 months they reached 70% with a goal of 95%.
2. Define Phase
Project Charter
Project NameBOD Reduction at Kahiki FoodsCommencement DateSep, 2009Project SponsorKahiki FoodsCompletion DateDec, 2010Expected Hard Cost Reduction$195,000Expected % Reduction95%
Project Mission
The main objectives are:
Intense reduction in solid waste entering floor drains.
Increase output at different plant processes.
Green initiative for the organization.
$195,000 hard cost reduction.
Problem Statement
Per local authorities BOD levels shouldn’t exceed 250mg/L
Kahiki had BOD waste levels of 3864mg/L, 1546% higher than upper spec limit
The source of the waste was obviously originating from inefficient floor drain management
6
Goal Statement
At least a 50% BOD reduction in 6 months and establishing a sustainable system able of reaching the goal of 95% reduction.
Process map
SIPOC map
8
3. Measure Phase
The waste removal system doesn't meet the spec.
Process Capability Charts
Measurement Plan
Demand Analysis
Metrics Used To Determine Water Quality
Biological Oxygen Demand (BOD)
Total Suspended Solids (TSS)
Total Kjeldahl Nitrogen (TKN)
BOD Process Capability Charts
TSS Process Capability Charts
Measurement Plan
N/B In any area of concern, should there be a negative response on any unit, the unit is rendered incomplete and therefore a defect.
13
Data Collection Challenges
System changed in 2007.
Standard sampling schedule 3 site visits/year moved to monthly.
Data collection visibility most critical points came from cleanup shift.
The above assessment was done by five individuals who were, one hired external expert, two quality assurance officers at the state government, while two are community professionals. MSA is an experimental process and require more views from different quotas of different levels of understanding to make independent judgments on quality (McCarty, 2005).
14
4. Analyze Phase
5 Why Analysis.
FMEA.
Gap analysis.
Fishbone diagram.
Hotspot heat map.
Regression Analysis.
Benchmarking.
5 Why Analysis
Plant Floor Drain Hotspot Heat Map
5. Improve phase
Improved Solid/Liquid Separation.
Reducing Waste Creation.
Employee Training.
Best Practice Identification.
WAP Committee: A "Waste Awareness Program“.
Error Proofing: Adding visual S ...
Six Sigma ReportHammettSix Sigma DMAIC Project Report Templa.docxwhitneyleman54422
Six Sigma Report
HammettSix Sigma DMAIC Project Report Template
Comments
· The following template provides guidelines for preparing a Six Sigma written certification project report. Subheadings and length of each section will obviously vary based on your findings and writing style. For a complete sample report using the template, see “Sample Project Report”.
· The information in your report should follow the Six-Sigma Problem Solving Methodology DMAIC. This includes a description of the project, key points in the problem-solving process, and detailed support for your conclusions and any recommendations. Reports should be approximately 10-12 double-spaced pages (excluding appendices), including tables and figures.
· Some general guidelines for grammar and format are provided for your reference at the end.
· Some information contained in this template is repetitive across sections. However, since different audiences will read your report to various degrees of depth, we believe that it is essential to repeat certain information. Ultimately, you should produce a high quality, professionally-presented report that has sufficient detail to help other Six Sigma practitioners utilize and build upon your project findings.
Title of Report
Submitted to:
Name, Title
Department/Organization
Address (optional)
Prepared by:
Name, Title
Department/Organization
Address (optional)
Date Submitted
Note: Do not put a page number on your title page. Begin numbering the pages with the Executive Summary.
Executive Summary
The Executive Summary presents the major information contained in the report. Its readers are typically managers who need a broad understanding of the project and how it fits into a coherent whole. These readers do not need or want a detailed understanding of the various steps taken to complete your project. Therefore, the Executive Summary allows readers to learn the gist of the report without reading the entire document, to determine whether the report is relevant to their needs, or to get an overview before focusing on the details. We consider writing a concise (typically one-page) and comprehensive executive summary a critical element of a Six Sigma project report. TheExecutive Summary should NOT include terms, abbreviations, or symbols unfamiliar to the reader. Readers should understand the content of the Executive Summary without reading the rest of the report.
The Executive Summary should include a problem statement, summary of approach used, and major project findings and recommendations.
· Problem Statement / Description
· Concisely describe the problem (few sentences).
· Identify the time period of the problem
· Quantify the degree of the problem and its impact on the business (if possible).
Example: During the past year, the average # of incoming calls with complaints per card-year has increased by 20%. These additional calls have resulted in additional staffing and facility costs of ~$100K per year. This proj.
CHAPTER Modeling and Analysis Heuristic Search Methods .docxtiffanyd4
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. .
CHAPTER Modeling and Analysis Heuristic Search Methods .docxmccormicknadine86
CHAPTER
Modeling and Analysis: Heuristic
Search Methods and Simulation
LEARNING OBJECTIVES
• Explain the basic concepts of simulation
and heuristics, and when to use them
• Understand how search methods are
used to solve some decision support
models
• Know the concepts behind and
applications of genetic algorithms
• Explain the differences among
algorithms, blind search, and heuristics
• Understand the concepts and
applications of different types of
simulation
• Explain what is meant by system
dynamics, agent-based modeling, Monte
Carlo, and discrete event simulation
• Describe the key issues of model
management
I n this chapter, we continue to explore some additional concepts related to the model base, one of the major components of decision support systems (DSS). As pointed out in the last chapter, we present this material with a note of caution: The purpose
of this chapter is not necessarily for you to master the topics of modeling and analysis.
Rather, the material is geared toward gaining familiarity with the important concepts
as they relate to DSS and their use in decision making. We discuss the structure and
application of some successful time-proven models and methodologies: search methods,
heuristic programming, and simulation. Genetic algorithms mimic the natural process of
evolution to help find solutions to complex problems. The concepts and motivating appli-
cations of these advanced techniques are described in this chapter, which is organized
into the following sections:
10.1 Opening Vignette: System Dynamics Allows Fluor Corporation to Better Plan
for Project and Change Management 436
10.2 Problem-Solving Search Methods 437
10.3 Genetic Algorithms and Developing GA Applications 441
10.4 Simulation 446
435
436 Pan IV • Prescriptive Analytics
10.5 Visu al Interactive Simulatio n 453
10.6 System Dynamics Modeling 458
10.7 Agents-Based Mode ling 461
10.1 OPENING VIGNETTE: System Dynamics Allows Fluor
Corporation to Better Plan for Project and Change
Management
INTRODUCTION
Fluor is an engineering and construction company with over 36,000 employers spread
over several countries worldwide . The company's net income in 2009 amounted to
about $680 million based on total revenue o f $22 b illion. As part of its operations, Fluor
manages varying sizes of projects that are subject to scope changes, design changes, and
schedule changes.
PRESENTATION OF PROBLEM
Fluor estimated that changes accounted for about 20 to 30 percent of revenue . Most
changes were due to secondary impacts like ripple effects, disruptions, and p roductivity
loss. Previously, the changes were collated and reported at a later period and the burden
of cost allocated to the stakeholder responsible. In certain instances when late su rprises
abou t cost and project schedule are attributed to clients, it causes friction between
clients and Fluor, w hich eventually affect future business dealings. ...
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
1. Đào tạo chỉnh sửa trong viết văn bản tiếng anh
Recommendation Reports
Báo cáo khuyến nghị
Kha Thái Đức
Đại học Lạc Hồng, Giám đốc Trung tâm viết báo khoa học bằng tiếng anh
柯泰德線上英文論文編修訓練服務
http://www.chineseowl.idv.tw
2. Tiểu sử cá nhân
Kha Thái Đức (Ted Knoy) đã dạy viết tiếng Anh kỹ
thuật trong các trường đại học ở Đài Loan hơn hai
mươi năm. Ông là tác giả của mười bốn cuốn
sách về viết tiếng Anh kỹ thuật và chuyên nghiệp.
Ông đã thành lập một trung tâm viết tiếng Anh tại
trường đại học Y Yuanpei đồng thời cũng là giảng
viên toàn thời gian tại trường. Ông đã chỉnh sửa
trên 55,000 bài viết cho việc đăng báo nghiên cứu
khoa học từ năm 1989. Ông là cũng nhà biên tập
tiếng anh cho một số tạp chí về khoa học, kỹ thuật
và y học của Đài Loan.
3. Báo cáo khuyến nghị
A. Identify the objectives, methodology and anticipated results to solve the technical
problem.
Xác định mục tiêu, phương pháp và kết quả dự kiến để giải quyết vấn đề kỹ thuật .
B. Describe the nature of the problem.
Mô tả bản chất của vấn đề.
C. Offer suggestions on how to solve the problem.
Cung cấp gợi ý về cách giải quyết vấn đề.
D. Outline the strategy to achieve the project goal.
Vạch ra các chiến lược để đạt được các mục tiêu dự án.
E. Emphasize how the company would benefit from achieving the set goal(s).
Nhấn mạnh như thế nào công ty sẽ được hưởng lợi từ việc đạt được mục tiêu đề ra
(s).
F. Summarize how the larger industry or field would benefit from achieving the project
goal(s).
Tóm tắt như thế nào ngành công nghiệp lớn hơn hoặc lĩnh vực sẽ được hưởng lợi
từ dự án đạt được mục tiêu (s).
4. A. Identify the objectives,
methodology and anticipated results
to solve the technical problem.
Xác định mục tiêu, phương pháp và
kết quả dự kiến để giải quyết vấn đề
kỹ thuật.
5. • Piecewise linearization algorithms are extensively
used in nonlinear programming. For instance,
trading companies attempt to minimize the costs of
factory-vendor transportation and ordering
transactions. Such scenarios are normally
formulated in a nonlinear format. Conventional
algorithms can only obtain a local optimum in such
scenarios. However, the difference between local
and global optima leads to unexpected costs. Still,
piecewise linearization algorithms require too much
time to obtain an optimum solution. For instance,
while the objective function or constraint of a
nonlinear problem is highly nonlinear, the solution
and performance is always inadequate.
Ví dụ (i)
6. Ví dụ (ii)
• Decision-making environments are increasingly
complex. For instance, selecting the criteria for
developing a decision evaluation model is extremely
difficult. While the inclusion of too few criteria in the
evaluation model leads to incomplete results, too
many makes the model too complex and difficult to
evaluate. Notably, conventional evaluation models
are generally concerned only with economic factors
and neglect factors that cannot be evaluated in
money. However, large investment programs
involve many intangible factors that cannot be
valued, such as the satisfaction of related groups
and potential environmental impact.
7. B. Describe the nature of the
problem.
Mô tả bản chất của vấn đề.
8. Ví dụ (i)
• Recently emerging semiconductor technologies have
ushered in the feasibility of embedding several digital
modules in a printed-circuit board (PCB) and combining
a larger system with several sub-chips. Moreover, the
system clock operates at a higher frequency than do
conventional system. Under these circumstances, the
clock-skew problem becomes a critical issue. Owing to
different clock propagations, the sub-modules of a digital
system may be asynchronous. The process, voltage,
temperature, and loading (PVTL) factors inevitably
induce the clock-skew problem. Moreover, the skew
problem will worsen as the clock' operational frequency
increases, becoming a bottleneck in future-high-
performance systems and possibly resulting in system
malfunctioning.
9. Ví dụ (ii)
• 3D models are extensively adopted in
multimedia applications owing to their relatively
low cost and the ease with which they construct
animated 3D objects. Although considerable
effort has been paid to developing a concise and
relatively easy means of constructing 3D faces,
animating a human face is still extremely
difficult. In particular, conventional 3D models
are too time consuming and inaccurate when
constructing digital objects since they manually
retrieve 2D images.
10. C. Offer suggestions on how to
solve the problem.
Cung cấp gợi ý về cách giải
quyết vấn đề.
11. Ví dụ (i)
• Therefore, we recommend developing a SAR-
controlled DLL deskew circuit scheme, capable
of reducing the system clock skew problem.
12. Ví dụ (ii)
• Therefore, we recommend developing develop
an efficient face model that can formulate the 3D
image of an individual's face from three 2D
images.
13. D. Outline the strategy to achieve
the project goal.
Vạch ra các chiến lược để đạt
được các mục tiêu dự án.
14. Ví dụ (i)
• To do so, three 2D images can be obtained
simultaneously with three general cameras. The
images can then be transferred to a personal
computer. Next, the proposed model can be
used to formulate digitally the 3D face.
15. E. Emphasize how the company would
benefit from achieving the set goal(s).
Nhấn mạnh như thế nào công ty sẽ được
hưởng lợi từ việc đạt được mục tiêu đề ra
(s).
16. Ví dụ (i)
As anticipated, the proposed scheme can
reduce the number of locking cycles in the
system clock more efficiently than can the
conventional approaches.
17. Ví dụ (ii)
As anticipated, the proposed face model can reduce the
time to construct a 3D face by 10% by optimizing the 3D
model rather than manually retrieving 2D images.
Additionally, the proposed model can precisely formulate
an individual’s face by using conventional peripheral
equipment. Moreover, the constructed 3D face can not only
be sculptured by automatic machinery, but can also
simulate various expressions. The equipment required for
constructing 3D digital objects includes three cameras, a
personal computer, and common image software.
Furthermore, steps to construct 3D digital objects in the
proposed face model are simplified, reducing the related
formulation costs and time to use the optimization methods.
18. F. Summarize how the larger industry or
field would benefit from achieving the project
goal(s).
Tóm tắt như thế nào ngành công nghiệp lớn
hơn hoặc lĩnh vực sẽ được hưởng lợi từ dự
án đạt được mục tiêu (s).
19. Ví dụ (i)
The proposed scheme proposed to develop an
SAR-controlled DLL deskew circuit can reduce
the system clock-skew and achieve a perfect
output clock duty cycle. Furthermore, the
deskew circuit can eliminate system
malfunctioning caused by the clock skew
problem. Only the development of a deskew
circuit can allow the system clock to operate at
Giga Hertz without interference.
20. Ví dụ (ii)
Importantly, the proposed face model can
minimize the tolerable errors associated with
constructing a digital face, enhancing
multimedia or animation applications by
reducing formulation costs and creating
more realistic digital objects. The proposed
model can be employed to digitize different
real 3D objects.
21. Báo cáo khuyến nghị: Ví dụ 1
Decision-making environments are increasingly complex. For instance, selecting the criteria for
developing a decision evaluation model is extremely difficult. While the inclusion of too few criteria in
the evaluation model leads to incomplete results, too many makes the model too complex and difficult
to evaluate. Notably, conventional evaluation models are generally concerned only with economic
factors and neglect factors that cannot be evaluated in money. However, large investment programs
involve many intangible factors that cannot be valued, such as the satisfaction of related groups and
potential environmental impact. Therefore, we recommend developing an efficient evaluation model
capable of selecting natural gas bus brands. This model allows us to evaluate an appropriate number
of criteria for cost and effectiveness.To do so, natural gas bus brands can be selected by the model
by cost effectiveness analysis. Two methodologies of multiple attribute decision making (MADM),
including the technique for order preference by similarity to ideal solution (TOPSIS) and the analytic
hierarchy process (AHP), can then be used to rank all viable alternatives to bus systems from a
complete perspective. As anticipated, the proposed model can evaluate exactly the relationship
between the cost and effectiveness of all viable alternatives to bus systems. The evaluation results
can provide not only economic information on all viable alternatives to bus systems, but many other
comparable situations. Importantly, the proposed model can provide a valuable reference for
government when selecting brands of bus systems. The ranking methodology can provide a more
objective outcome with weights of related decision groups, than can other methodologies. The
ranking methodology can also provide a more flexible procedure with respect to the outcome's
complexity. Moreover, the ranking outcome can allow decision makers to identify the order
preferences for alternatives.
22. Báo cáo khuyến nghị: Ví dụ 2
Members of our working group recently raised the concern that, with respect to differentiated
marketing practices in Taiwan, conventional methods of ranking customers are normally based on
bank account balances in each accounting period. This basis alone does not provide a complete
customer profile, and seldom supports strategies that analyze the commercial transaction data of
customers. Insufficient information on unique customer characteristics prevents the provision of
services specialized for individuals. The inability to interact compatibly with customers will cause our
company to lose its focus on product development and promotional strategies. Therefore, we
recommend developing a customer ranking model by analyzing the dynamic purchasing behavior of
customers and identifying those who have the potential to generate bank revenues. Those behavioral
results can be used to devise diverse promotional strategies or customize products or services
according to consumer needs, achieving market differentiation and effective customer relations.
Based on numerous available customer data, a data mining method, CRISP-DM, which combines the
conventional means of data exploration with two mathematical calculations (decision tree and
category nerve) can be adopted to determine how various purchasing activities are related and how
many factors are involved in evaluating a customer’s relationship. These factors include the types of
products purchased, their quantity and their cost of acquisition and servicing. Factors associated with
customer relations and customer life cycle can then be combined to construct an enhanced
management model. In the proposed model, factors of the ranking module are verified and adjusted
to ensure that a company continuously provides quality services. The customer’s value in customer
relationship management can be determined, and the model significantly enhances the company’s
ability to attract new customers. Furthermore, this model can be used in other business sectors to
enhance the identification, acquisition and retention of loyal and profitable customers.
23. Báo cáo khuyến nghị: Ví dụ 3
Taiwan’s growing elderly population has increased the demand for long-term healthcare
facilities and services. While forecasting the medical market trends (both in supply and
demand) is a fundamental part of feasibility analysis, both governmental makers of social
welfare policy and commercial investors rely heavily on forecasts to remain abreast of
regulations that govern health financing and the development of new projects. Whereas the
modeling method has seldom been adopted to forecast market trends in long-term care in
Taiwan, most studies have focused on various consumer indexes used to forecast the market
supply and demand but neglect the market and natural factors that affect the long-term
healthcare sector. Therefore, we recommend the development of two forecasting models to
estimate the demand of the elderly population in Taiwan for the available long-term healthcare
resources. A multi-regression model can be developed to measure and forecast not only the
quantity of early demand, but also the relationship between the demand and critical factors by
accumulating a significant amount of data and identifying such factors. The data can then be
collected using a questionnaire, with the factors quantitatively measured using a method found
in the literature. Next, a GM (1, 1) model based on Grey Theory can be developed to
accurately forecast the supply of available long-term healthcare resources from data acquired
from the website of Taiwan’s Ministry of Interior. In addition to identifying factors that affect the
demand, the proposed forecasting models can also measure precisely the demand for and
supply of long-term healthcare resources in Taiwan. The proposed forecasting models provide
a valuable reference for makers of health-care policy, investors in the medical sector,
administrators and academics, when devising relevant policies and strategies.
24. Báo cáo khuyến nghị: Ví dụ 4
Purchasing on credit is increasingly common in Taiwan, as evidenced by the
rise in customer loans granted by local banks in recent years. When
processing loan applications, the banking officer frequently scores a customer’s
credit rating based on a standard that lacks objectivity and requires
considerable human resources to apply. Therefore, we recommend devising a
credit risk assessment model by analyzing a mass volume of data or detecting
concealed purchasing models, subsequently reducing the defaulted loan
burden of small financial institutions. A database that integrates customer data
can be established, to which highly effective data mining approaches are
applied to identify the attributes of each customer account, such as overdraft
records, outstanding loans and income. Credit ranking criteria based on a
decision tree can then be established for all customers in the bank’s database.
In addition to greatly facilitating the decision of a banking officer regarding
whether to grant a loan, the credit risk assessment model can reduce operating
costs by enhancing the process flow. Moreover, the proposed model can pave
the way for other potential data mining applications in financial institutions, such
as more effective marketing strategies. The proposed model is also very
promising for other industrial applications.
25. Báo cáo khuyến nghị: Ví dụ 5
According to the World Health Organization, Taiwan became an advanced aging society as of the end
of 1993, with over 7% of its population 65 years or older. Aging in Taiwan explains the growing
concern over the market demand for long-term care residential communities, in which middle-aged to
senior individuals live independently in houses or apartment units designed for their special needs
upon retirement. Many industries have already heavily invested in this emerging growth sector.
However, although attempts have been made to evaluate the success of certain management
practices in satisfying consumer demand in this growing market sector, few long-term care studies
have attempted to identify success factors in managing residential communities of senior citizens.
Therefore, we recommend developing an AHP-based method that enables administrators of senior
citizen residential communities to identify critical factors for successful operations. A questionnaire
survey can be designed to select the most appropriate sampling method. A valuation standard that
reflects enterprise values can then be derived based on interviews with experts in the field. Next,
critical factors for successful operations can be identified using the AHP method. The proposed AHP-
based method can enable enterprises involved in the development of senior citizen residential
communities to identify the features of and prerequisites for successful operations. The proposed
method can enable administrators of residential communities of senior citizens to select the most
feasible residential community during decision making by considering financial and market -related
concerns to ensure the success of daily operations. In addition to enhancing the competency of
administrators in making their residential communities efficient in this increasingly competitive sector,
the proposed method can provide a valuable reference for experts, academics and investors.
26. Báo cáo khuyến nghị: Ví dụ 6
Since its establishment in 1995, Taiwan’s National Health Insurance scheme has strived to provide
medical coverage for all of the island’s residents under the auspices of the National Health Insurance
Bureau. Despite the high quality of the medical care provided, hospitals often have difficulty in
understanding customer’s needs. More specifically, conventional statistical methods such as AHP
and TOPSIS cannot analyze how patients select a hospital for treatment, making extremely difficult
the establishment of effective business management strategies. Therefore, we recommend
developing a patient selection model using AHP and TOPSIS, which analyzes incoming hospital
patients in relation to public image of the hospital and the current market demand for specific
services, ultimately gaining the confidence of patients in the quality of medical services. A framing
questionnaire can be designed based on the basic requirements of patients, including such intangible
ones such as respect. The following criterion can be applied to analyze the questionnaire results:
physicians must be qualified and reliable; medical staff must have received sufficient training;
physicians must be willing to offer valuable clinical information; physicians must express concern for
their patients; medical staff must display a professional attitude; and hospital administration must
respect patient confidentiality. SPSS software can be used to analyze the results. Moreover, the
following four assumptions are made. Public appraisal of the quality of medical treatment affects the
overall results; the quality of service influences the expectations of hospital patients; patients’
demands influence the quality of service, and a patient’s experience influences the expected quality
of service. The proposed patient selection model is established using AHP and TOPSIS, since
conventional statistical models are useless. While influencing which hospital that a patient selects, the
quality of hospital services does not necessarily improve customer satisfaction. Moreover, the
proposed model helps hospitals develop an effective strategy for generating revenues independently
of the national health insurance scheme.
27. Báo cáo khuyến nghị: Ví dụ 7
Unforeseeable circumstances in the constantly fluctuating business climate require that enterprises adopt
effective inventory management practices to improve their competitive edge. Inventory stock is often regarded
as a somewhat static resource with economic value, and the quality of its management directly affects
company operations. Therefore, an effective stock inventory system is essential. However, while focusing on
specific stock inventory systems, previous studies have seldom addressed the supply chain strategy for a
stock inventory of multiple products with many suppliers. Either simulation or statistical approaches are
adopted to establish inventory stock management policies. Simulation requires much time; it is therefore
inefficient and yields questionable results. Statistical approaches offer guidelines aimed at simplifying either
the inventory stock administration system or use of a complex system that is intended to establish approximate
mathematical patterns; such approaches are often difficult to interpret. Therefore, we recommend the
development of an inventory stock management model that coordinates the efforts of suppliers and retailers,
and a model of distribution to minimize the total cost based on the metering method. To do so, the (s, Q)
policy that governs inventory stock and is determined between the supplier and the manufacturer can be used
to reduce the minimum stock that must be carried, ultimately reducing the total associated with cost. Problems
encountered by the supplier and the manufacturer in predicting the required amount of inventory stock can be
addressed. As anticipated, the stock model (s , Q) can be utilized to derive the inventory stock models of the
supplier and manufacturer without complex mathematics. The supplier and the manufacturer can adopt the
most appropriate control channel to determine the inventory stock cost, sales volume and orders in short
supply. The proposed inventory management model can determine the most economic time to purchase and
inventory stock policy for both the supplier and the manufacturer. By using random and the most appropriate
control measures, the proposed management model can determine precisely the supplier and the
manufacturers, reduce overhead costs and enable enterprise managers to select the most effective inventory
stock policy.
28. Tài liệu tham khảo
Knoy, T (2009) Effective Technical
Communication. Taipei: Yang Chih
Publishing