Maintenance, modeling and optimization:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boston [u.a.]
Kluwer
2000
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIV, 474 S. graph. Darst. |
| ISBN: | 0792379284 |
Internformat
MARC
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| 245 | 1 | 0 | |a Maintenance, modeling and optimization |c ed. by Mohamed Ben-Daya ... |
| 264 | 1 | |a Boston [u.a.] |b Kluwer |c 2000 | |
| 300 | |a XXIV, 474 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Factory management | |
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Datensatz im Suchindex
| _version_ | 1804128760743591936 |
|---|---|
| adam_text | Contents
List of Figures xi
List of Tables xvi
Preface xvii
Acknowledgment xxi
Contributing Authors xxiii
Parti INTRODUCTION
1
Maintenance Modeling Areas 3
M. Ben Daya and S. 0. Duffuaa
1. Introduction 3
2. Maintenance Policies 4
3. Maintenance Planning and Scheduling 14
4. Spare Parts Provisioning 17
5. Integrated Models 23
6. Future Research Directions 26
Part II MAINTENANACE PLANNING SCHEDULING
2
Mathematical Models in Maintenance Planning and 39
Scheduling
Salih O. Duffuaa
1. Introduction 39
2. Maintenance Capacity Planning 40
3. Allocation of Resources 44
4. Scheduling Preventive Maintenance 45
5. Scheduling Maintenance Jobs 46
v
vi MAINTENANCE, MODELING AND OPTIMIZATION
6. Conclusion and Further Research 52
3
Electric Generator Maintenance Scheduling 55
Ibrahim El Amin
1. Introduction 56
2. Maintenance Goals and Model Formulation 58
3. Solution Methods 69
4. The Application of Fuzzy Systems to the GMS Problem 75
5. The Integrated Generation Transmission Maintenance Sched¬
ule 76
6. Conclusions 77
4
Reliability Based Spare Parts Forecasting and Pro 81
curement Strategies
A. K. Sheikh, M. Younas and A. Raouf
1. Introduction 82
2. Scope of the Work 84
3. Reliability Characteristics of the Unit 86
4. Spare Parts Calculations for Failure Replacement 90
5. Spare Part Calculations for Scheduled Replacements 96
6. Purchasing and Maintenance Link 98
7. Spare Part Classification 99
8. Practical Spare Parts Management 100
9. Extending the Ideas to Repairable Systems 106
10. Concluding Remarks 107
5
Maintenance Service Contracts 111
D. N. P. Murthy
1. Introduction 111
2. Maintenance 113
3. Warranty and Extended Warranty 115
4. Maintenance Service Contracts 120
5. Mathematical Modeling of Service Contracts 124
6. Conclusions and Topics of Future Research 130
6
Simulation Metamodeling of a Maintenance Float System 133
Christian N. Madu
1. Introduction 133
2. Maintenance Float Systems 135
3. The Metamodel 141
4. Cost Optimization 146
5. Steps for Developing a Metamodel 148
6. Conclusion 149
Part III PREVENTIVE MAINTENANCE
7
Basic Preventive Maintenance Policies and their Variations 155
Contents vii
T. Dohi, N. Kaio, and S. Osaki
1. Introduction 155
2. Mathematical Preliminaries 157
3. Block Replacement 162
4. Age Replacement 168
5. Order Replacement 173
6. Conclusion 177
8
A General Framework for Analyzing Maintenance Policies 185
V. Makis, X Jiang, A.K.S. Jardine and K. Cheng
1. Introduction 186
2. Background 186
3. The Average Cost Optimal Policy for a Repair/Replacement
Problem 189
4. Optimal Policy in the Discounted Cost Case 195
9
Imperfect Preventive Maintenance Models 201
Toshio Nakagawa
1. Introduction 201
2. Analysis of Policy 1 203
3. Analysis of Policy 2 206
4. Analysis of Policy 3 209
5. Conclusions 211
10
Single Machine Inspection Problem 215
Moncer Hariga Mohammad A. Al Fawzan
1. Introduction 216
2. Notation, Assumptions, and Preliminary Results 217
3. Infinite Horizon Model 220
4. Finite Horizon Model with Continuous Inspection Times 231
5. Finite Horizon Model with Discrete Inspection Time 237
6. Random Horizon Model 239
7. Conclusions 241
11
A General Approach for the Coordination of Mainte 245
nance Frequencies
R. Dekker, R.E. Wildeman, J.B.G. Frenk and R. Van Egmond
1. Introduction 245
2. Problem Definition 247
3. Analysis of the Problem 250
4. Solving Problem (Q) 256
5. Numerical Results 268
6. Conclusions 272
12
Maintenance Grouping in Production Systems 283
Gerhard van Dijkhuizen
1. Introduction 283
viii MAINTENANCE, MODELING AND OPTIMIZATION
2. Literature Review 287
3. A Multi Setup Multi Component Production System 290
4. Modeling Framework 293
5. A Mixed Integer Linear Programming Formulation 297
6. An Illustrative Example 300
7. Concluding Remarks 301
Part IV CONDITION BASED MAINTENANCE
13
On Line Surveillance and Monitoring 309
Hai S. Jeong Elsayed A. Elsayed
1. Introduction 309
2. Reliability Prediction and The Limit Value Determination in
Condition Monitoring 311
3. Vibration Monitoring 317
4. Sound Recognition and Acoustic Emission 325
5. Temperature Monitoring 330
6. Fluid Monitoring 331
7. Corrosion Monitoring 333
8. New Approaches in Condition Monitoring 333
9. Conclusions 336
14
Maintenance Scheduling Using Monitored Parameter 345
Values
Dhananjay Kumar
1. Introduction 346
2. Reliability Models 347
3. Proportional Hazards Model 348
4. Proportional Intensity Model 349
5. Accelerated Failure Time Models 351
6. Some Other Models 351
7. Selection of Models 352
8. Maintenance Scheduling under the Age Replacement Policy 353
9. Total Time on Test (TTT) Plotting 355
10. Example 358
11. Maintenance Scheduling under the Block replacement Policy 362
12. Example 364
13. Conclusions 370
Part V INTEGRATED MAINTENANCE, PRODUCTION AND
QUALITY MODELS
15
A General EMQ Model with Machine Breakdowns 377
V. Makis, X. Jiang and E. Tse
1. Introduction 378
2. Model Description 380
3. The Structure of the Optimal Policy 380
4. An EMQ Model With Lost Sales 383
5. Numerical Example 388
Contents ix
6. Model With Preventive Replacement After the First Produc¬
tion Run 394
7. Conclusions 395
16
Stochastic Manufacturing Systems: Production and 397
Maintenance Control
E. K. Boukas Q. Zhang
1. Introduction 397
2. Production Control Problem 399
3. Production and Corrective Maintenance Control 414
4. Production and Preventive Maintenance Control 419
5. Numerical Methods and Examples 422
6. Conclusion 428
Part VI MAINTENANCE NEW TECHNOLOGIES
17
JIT and Maintenance 439
G. Waeyenbergh, L. Pintelon, and L. Gelders
1. Introduction 440
2. The JIT Philosophy 440
3. Maintenance Meets Production 441
4. From Preventive Maintenance to Productive Maintenance 444
5. The TPM Philosophy 445
6. The Pillars of TPM 447
7. The Need for Supporting Maintenance Concepts 450
8. The Ideal Base to Start With TPM 455
9. Modeling Tools for Improved Maintenance 457
10. Illustrative case: Failure Analysis and TPM in a Brewery 465
11. Conclusions 467
Index 471
List of Figures
2.1 Classification of maintenance planning and scheduling. 41
4.1 The relationship between the coefficient of variation
K = a I i and shape parameter,/? of the Weibull
model p = /K . 88
4.2 Failure rate function of Weibull model for j3 = 1, /3
1 and /? 1. 89
4.3 Probability density function of Weibull model for
/3 = 1 (constant failure rate), /3 1 (decreasing fail¬
ure rate) and /3 1 (increasing failure rate). 89
4.4 Weibull reliability analysis of 54 extrusion eies life
:die life Xi is expressed as Kg of metal extruded until
failure. 91
4.5 One realization of renewal or counting process of
part replacement 91
4.6 Renewal function of Weibull model. 93
4.7 Renewal rate function of Weibull model. 94
4.8 Variance of number of renewals for Weibull model. 94
4.9 Illustration of inventory model and related variables. 102
4.10 Effect of normal demand during lead time. 103
5.1 Customer s optimal strategies. 127
6.1 Maintenance float network. 136
6.2 Metamodel construction procedure. 139
8.1 The optimal repair cost limit. 196
1.0.1 Cash flow structure over one cycle 219
10.2 Graphical form of P(T, oo). 222
xii MAINTENANCE, MODELING AND OPTIMIZATION
11.1 An example of the function (?,(•). The thin lines are
the graphs of the functions $i(l/t), *i(2/t),..., $i(5/t).
The (bold) graph of (•) is the lower envelope of
these functions. 278
11.2 An example of the objective function of problem (Q).
There are three local minima: at T , Ti and T3. 278
11.3 An example of the function g (•). Notice the sim¬
ilarity with the graph of gi( ) in Figure 11.1. 279
11.4 An example of the objective function of problem (R). 279
12.1 Maintenance initiators, activities, and packages: an
overall perspective. 284
12.2 Tree like structure of set up activities and mainte¬
nance jobs (example). 291
12.3 Multiple interrelated set up and maintenance activ¬
ities with associated costs for a tramcar (Sculli and
Suraweera, 1979). 292
12.4 How to create maintenance opportunities from main¬
tenance frequencies (example). 301
13.1 Fatigue crack growth data from Bogdanoff and Kozin
(1985). 312
13.2 f{x; t) versus t for MIDP. 313
13.3 Ball bearing rotation. 320
13.4 Outer race defect. The ball pass frequency on the
outer race is 172 Hz. The spectral line at 172 Hz is
the representation of defect on the outer race of the
bearing (Taylor, 1980). 321
13.5 Signal analysis by spectrum. 323
13.6 Information for the AE event. 328
13.7 Prognostic and health management system. 335
14.1 An illustration of the pattern of the log cumulative
hazard rate. 353
14.2 The pattern of the hazard rate function assuming a
good as new condition. 354
14.3 A TTT plot to find the optimal replacement time
intervals. 360
14.4 TTT plot when parameter z= l. 361
14.5 TTT plot when parameter z=0. 361
14.6 TTT plot when parameter z=l. 362
14.7 An illustration of the block replacement policy with
minimal repair. 363
List of Figures xiii
14.8 The optimal planned maintenance cycle length in hours. 366
14.9 The optimal planned maintenance cycle length in
hours. 369
14.10 The plot is based on failure times only. 369
15.1 Long run average cost as a function of the lot size
for several values of preventive replacement rate Ap. 391
15.2 Long run average cost as a function of the number
of production runs before a preventive replacement
for several values of preventive replacement rate Ap. 391
15.3 Optimal lot size as a function of the preventive re¬
placement rate Ap. 392
15.4 Optimal number of production runs before a preven¬
tive replacement n* as a function of the preventive
replacement rate Ap. 392
15.5 Long run average cost as a function of the lot size
for several values of the failure rate A. 393
15.6 Long run average cost as a function of the number
of production runs before a preventive replacement
for several values of the failure rate A. 393
16.1 Evolution of the value function versus the stock level
in mode 1 when the corrective maintenance is con¬
sidered 426
16.2 Evolution of the value function versus the stock level
in mode 2 when the corrective maintenance is con¬
sidered 427
16.3 Evolution of the production rate versus the stock
level when the corrective maintenance is considered 427
16.4 Evolution of the corrective maintenance rate versus
the stock level when the corrective maintenance is
considered 428
17.1 The bathtub curve. 442
17.2 The six big losses. 448
17.3 Problem solving approach with mathematical pro
gramming(MP) and simulation(SIM) 460
17.4 Steps of a simulation study. 463
List of Tables
3.1 4 Unit Problem Data 65
3.2 Weekly Peak Load and Gross Reserves 65
4.1 Failure Modes and Weibull Shape Parameter (3 [5]. 88
4.2 Loss matrix to determine ordering policies. 100
6.1 Full factorial experimental design plan. 141
6.2 Regression analysis of the maintenance flaot prob¬
lem with no runs deleted. 142
6.3 Stability analysis of the maintenance float problem. 143
6.4 Statistical analysis of the maintenance float problem
with statistical significance tests. 145
6.5 Validation of the maintenance float regression metamodel. 146
6.6 AEU values for defined intervals of S and R obtained
through the metamodel. 147
6.7 Cost table for the Optimum R and S. 147
9.1 Optimal pm times T* 206
9.2 Optimal replacement numbers N* 208
9.3 Optimal inspection times T* for a and c^ when c = 1 211
10.1 Effect of discounting on the inspection interval for
(A=0.01). 225
10.2 Effect of discounting on the inspection interval for
(A=0.02). 226
10.3 Effect of discounting on the inspection interval for
(A=0.03). 227
10.4 Effect of discounting on the equivalent uniform worth
(A=0.01). 228
10.5 Effect of discounting on the equivalent uniform worth
(A=0.02). 229
xv
xvi MAINTENANCE, MODELING AND OPTIMIZATION
10.6 Effect of discounting on the equivalent uniform worth
(A=0.03). 230
10.7 Results for the finite horizon example. 238
10.8 Results of the dynamic programming procedure for
the example problem. 239
10.9 Effect of the mean planning horizon on TT and P(T, H). 242
11.1 Values for the parameters in the four models 280
11.2 Results of 4200 random examples for the special case
of Goyal and Kusy,the minimal repair model and
the inspection model 281
11.3 Percentage of the examples where the IFP and the
algorithm of Goyal and Kusy generated deviations
of more than 1% and 5%. 281
11.4 Results of 4200 random examples for the block replacement
model 282
12.1 Example of a maintenance cycle for a production
system consisting of m = 3 set up activities and
n = 3 components , where component j requires all
set up activities i j to be carried out in advance. 296
12.2 Reductions in problem size for several period sets
/C = {l,...,n}. 299
12.3 Maintenance opportunities, corresponding clusters
and frequencies of occurence for the example of Fig¬
ure 12.4. 302
14.1 The interarrival times at which pressure gauges were
replaced on failure or as part of planned mainte¬
nance (denoted by asterisks). 358
14.2 Result of the PHM analysis. 360
14.3 Data from the cement plant, taken from Love ; Guo
(1991). 365
14.4 Result of the proportional intensity analysis. 367
14.5 The optimal PM cycle length in hours for different
values of the MPV B. 367
15.1 Notation Summary for the Modified EMQ model 381
15.2 Numerical Data for Figures 15.3 15.8. 389
16.1 Simulation data 425
17.1 Definitions and examples of the six big losses. 449
17.2 Comparison of five maintenance design concepts. 453
17.3 Definitions and examples of the six big losses. 464
17.4 Definitions and examples of the six big losses. 466
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| genre_facet | Aufsatzsammlung |
| id | DE-604.BV013917841 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:54:22Z |
| institution | BVB |
| isbn | 0792379284 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009522498 |
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| spelling | Maintenance, modeling and optimization ed. by Mohamed Ben-Daya ... Boston [u.a.] Kluwer 2000 XXIV, 474 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Factory management Plant maintenance Management (DE-588)4037278-9 gnd rswk-swf Instandhaltung (DE-588)4027145-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Management (DE-588)4037278-9 s Instandhaltung (DE-588)4027145-6 s DE-604 Ben-Daya, Mohamed Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009522498&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Maintenance, modeling and optimization Factory management Plant maintenance Management (DE-588)4037278-9 gnd Instandhaltung (DE-588)4027145-6 gnd |
| subject_GND | (DE-588)4037278-9 (DE-588)4027145-6 (DE-588)4143413-4 |
| title | Maintenance, modeling and optimization |
| title_auth | Maintenance, modeling and optimization |
| title_exact_search | Maintenance, modeling and optimization |
| title_full | Maintenance, modeling and optimization ed. by Mohamed Ben-Daya ... |
| title_fullStr | Maintenance, modeling and optimization ed. by Mohamed Ben-Daya ... |
| title_full_unstemmed | Maintenance, modeling and optimization ed. by Mohamed Ben-Daya ... |
| title_short | Maintenance, modeling and optimization |
| title_sort | maintenance modeling and optimization |
| topic | Factory management Plant maintenance Management (DE-588)4037278-9 gnd Instandhaltung (DE-588)4027145-6 gnd |
| topic_facet | Factory management Plant maintenance Management Instandhaltung Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009522498&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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