Simulation modeling methods:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York [u.a.]
McGraw-Hill
2000
|
| Series: | Harrington performance improvement series
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXV, 379 Seiten Illustrationen, Diagramme CD-ROM (12 cm) |
| ISBN: | 0070271364 |
Staff View
MARC
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| 245 | 1 | 0 | |a Simulation modeling methods |c H. James Harrington ; Kerim Tumay |
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Record in the Search Index
| _version_ | 1804127866219134976 |
|---|---|
| adam_text | Contents
About the Series xv
About the Authors xvii
Preface xix
Acknowledgments xxv
1 Introduction to Process Simulation 1
Process Simulation—What Is It? 1
What Is a Process? 5
History of Simulation 7
Process Modeling Stairway 8
Block Diagramming 9
Flowchart 9
Process Performance Analysis 13
Process Knowledge Dictionary 13
Process Variation Analysis 14
Process Flow Animation 15
Workflow Monitoring 15
How Is Simulation Used in Business Process
Improvement Projects? 16
Target Processes for Simulation 18
Product Development 19
Supply Chain 19
Customer Service 20
Why Do You Need Process Simulation? 21
A Phased Approach to Successful Implementation 26
Phase I: Assessment and Planning 27
Phase II: Implementation 27
Phase III: Measurement and Continuous
Improvement 28
Benefits of Process Simulation 29
Focus on Cycle Time 29
Strategic Pricing 29
viii Contents
Identify Cause-and-Effect Relationships 108
Look for Key Impact Factors 109
Distinguish Between Time-Dependent, Resource-
Dependent, and Condition-Dependent Activities 110
Focus on Essence Rather than Substance 110
Separate Input Variables from Response Variables 111
Determine Data Requirements 111
Use Appropriate Data Sources 113
Make Assumptions When Necessary 114
Convert Data into a Useful Form 115
Document and Approve the Data 117
Step 3. Build the Model 118
How Large or Complex Should a
Model Be to Be Useful? 118
What Happens to the Model After It Is Used? 119
Step 4. Verify and Validate the Model 120
Step 5. Conduct Experiments 122
Step 6. Analyze, Document, and Present the Results 125
Why Simulation Projects Fail 128
Summary 128
References 129
5 Modeling Dynamic Behaviors 131
Introduction 131
What Is the Difference Between a Process and an Activity? 132
Top-Down and Bottom-Up Process Modeling 134
Static Versus Dynamic Activity Modeling 135
Why Is Variability Important? How Do You Model It? 138
Activity Modeling 141
A Proposal Review Process 142
A Mortgage Application Process 143
A Receiving/Shipping Process 145
An Assembly Process 147
Resource Modeling 149
Resource Schedules and Interruptions 150
Resource Setups and Wrap-Ups 153
Resource Assignment and Allocation 154
Transaction Modeling 155
Contents ix
How Are Transactions Generated? 157
Connectors and Connection Objects 159
Connectors 159
Connection Objects 162
Advanced Modeling Functions 164
User-Defined Attributes 164
System-State Variables 165
User-Defined Expressions 165
Summary 166
References 166
6 Process Simulation Analysis 169
Introduction 169
Model Performance Measurements 170
Cycle Time 172
Transaction Count 172
Activity Cost 174
Resource Utilization 11A
Wait Time 175
Queue Length 177
Types of Statistical Model Output 177
A Few Words of Expert Advice on Analysis of Simulation
Output 179
A Refresher on Basic Statistical Concepts 180
Techniques for Statistical Analysis of Output 186
Terminating Simulations 187
Nonterminating Simulations 188
Designing Simulation Experiments 190
Designing an Experiment 191
Creating a Scenario 193
Running the Scenario 194
Analyzing Single- and Multiple-Scenario Output 194
Analyzing Single-Scenario Output 195
Analyzing Multiple-Scenario Output 195
Selecting the Best-Value Future-State Solution 196
Summary 198
References 199
x Contents
7 Phase III: Measurement and Phase IV: Continuous
Improvement 201
Introduction 201
Phase III: Measurement 202
Why Should You Measure? 202
When Should You Measure? 203
What Should You Measure? 203
Who Should Be Measured? 204
Who Should Do the Measuring? 204
Who Should Provide Feedback? 205
Who Should Audit? 205
Who Should Set Simulation Process Targets? 205
Who Should Set Challenge Targets? 206
Feedback and Reporting 206
Feedback 206
Reporting 207
Rewards and Recognition 208
Types of Rewards 208
The Measurement Process 210
Phase IV: Continuous Improvement 211
The Continuous Improvement Process 211
Summary 212
References 213
8 Success Stories 215
Introduction 215
IBM PC Company Saves $40M per Year in
Distribution Costs 216
Objectives, Scope, and Resources 217
How Simulation Was Used 217
Results 218
Lessons Learned 219
Siemens Solar Group Saves $7.5 Million per Year 220
Objectives, Scope, and Resources 220
How Simulation Was Used 221
Results 221
Lessons Learned 222
How Tropicana Makes Million-Dollar Logistics Decisions 223
Contents xi
Objectives, Scope, and Resources 223
How Simulation Was Used 225
Results 226
Lessons Learned 226
Hallmark Cards Cuts Cycle Time from 80
Days to Eight Days 226
Objectives, Scope, and Resources 227
How Simulation Was Used 227
Results 229
Lessons Learned 229
How Process Simulation Saves Patents for Thiokol 229
Objectives, Scope, and Resources 230
How Simulation Was Used 231
Results 231
Lessons Learned 232
Summary 233
References 233
9 Using Simulation Modeling for Process Redesign Projects 235
Introduction 235
Overview 237
BPI Approaches 239
Process Benchmarking 239
Process Redesign (Focused Improvement) 240
Process Reengineering (New Process Design or
Process Innovation) 241
Impact of Different BPI Approaches 246
FAST (Fast Action Solution Technique) 246
High-Impact Team (HIT) 248
BPI and Simulation Modeling 248
The Five Phases of Process Redesign 249
Phase I: Organizing for Improvement 249
Phase II: Understanding the Process 250
Phase IIA: Conducting a Comparative Analysis 250
Phase HI: Streamlining the Process 251
Phase IV: Implementation, Measurements,
and Control 252
xii Contents
Phase V: Continuous Improvement 252
Simulation Modeling Applied to Process Redesign 253
Phase I: Organizing for Improvement 253
Applying Simulation Modeling to Phase I 254
Phase II: Understanding the Process 257
Activity 1: Flowchart the Process 257
Activity 2: Prepare the Simulation Model 261
Activity 3: Conduct Process Walk-Through 262
Activity 4: Perform Process Cost and
Cycle-Time Analysis 263
Activity 5: Implement Quick Fixes 264
Activity 6: Align Process and Procedures 265
Comparative Analysis 265
Using Simulation Modeling During Phase II 265
Simulation Modeling Applied to Activities
1 and 2 of Phase II 266
Data Dictionary 274
Simulation Modeling Applied to Activity 3
of Phase II 276
Simulation Modeling Applied to Activity 4
of Phase II 277
Validation of the Simulation Model 277
Summary of Simulation Modeling Applied
to Phase II 281
Phase III: Streamlining the Process 281
Activity 1: Apply the 12 Streamlining Steps 282
Activity 2: Perform a Cost/Benefits Analysis 282
Activity 3: Select the Best-Value Future-State Solution 284
Activity 4: Obtain Executive Committee Approval 285
Activity 5: Approve Preliminary Implementation Plan 285
Applying Simulation Modeling to Phase III 285
Using Process Simulation Modeling During Phase III 286
Steps 1 and 2: Bureaucracy Elimination and
Value-Added Assessment 286
Step 3: Duplication Elimination 290
Step 4: Simplification Methods 290
Step 5: Cycle-Time Reduction 291
Contents xiii
Steps 6 and 7: Error Proofing and Process Upgrading 291
Step 8: Simple Language 292
Step 9: Standardization 292
Step 10: Supplier Partnerships 292
Step 11: Automation, Mechanization, and
Information Technology 293
Step 12: Organizational Restructuring 293
Final Process Design Analysis 294
Other Options 295
Activity 2: Cost/Benefits Analysis 295
Phase IV: Implementation, Measurements, and Control 295
Activity 1: Finalize the Implementation Plan 296
Activity 2: Implement the New Process 297
Activity 3: Establish the In-Process Measurements 297
Activity 4: Establish the Feedback Systems 298
Activity 5: Monitor the Results 298
Applying Simulation Modeling to Phase IV: Implementation 299
Simulation Modeling Applied to Activity 1
of Phase IV 299
Simulation Modeling Applied to Activity 2
of Phase IV 300
Summary of Simulation Modeling in
Phase IV: Implementation 301
Use of Simulation Modeling in Phase V:
Continuous Improvement 301
Summary of Simulation Modeling in Phase V:
Continuous Improvement 302
Summary of Simulation Modeling in Process Redesign 302
References 303
10 Simulation Exercise 305
Introduction 305
Model Description 306
Building the Model 307
Step 1: Map the Process 307
Step 2: Define the Activities and Workflow 309
Step 3: Define the Resources and Their Usage 315
xiv Contents
Simulating the Process 317
Step 1: Define the Run Settings 317
Step 2: Run the Simulation 318
Analyzing the Performance Measures 319
Entity-Count and Cycle-Time Reports 320
Resource-Utilization Reports 320
Activity, Entity, and Resource Cost Reports 322
The What-If Scenario 324
Comparing Results 325
Summary 326
Appendix A—Glossary and Simulation Objects/Characters 327
Appendix B—Software Evaluation Checklist 340
Appendix C—Simulation Tool Suppliers 348
Appendix D—Standard Theoretical Probability Distributions 349
Appendix E—Best-Value Future-State Solution Analysis 360
Index 371
|
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| spelling | Harrington, H. James Verfasser aut Simulation modeling methods H. James Harrington ; Kerim Tumay New York [u.a.] McGraw-Hill 2000 XXV, 379 Seiten Illustrationen, Diagramme CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Harrington performance improvement series Prozesskette (DE-588)4325683-1 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Prozesskette (DE-588)4325683-1 s Simulation (DE-588)4055072-2 s DE-604 Tumay, Kerim Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008970404&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Simulation modeling methods |
| title_auth | Simulation modeling methods |
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| title_full | Simulation modeling methods H. James Harrington ; Kerim Tumay |
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| title_short | Simulation modeling methods |
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