Manufacturing Systems Engineering

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Product Details

  • ISBN-13: 9780135606087
  • Publisher: Prentice Hall Professional Technical Reference
  • Publication date: 9/28/1993
  • Edition number: 1
  • Pages: 501
  • Product dimensions: 7.20 (w) x 9.55 (h) x 1.20 (d)

Table of Contents

List of Figures
List of Tables
Preface
1 Introduction 1
1.3 Issues and Performance Measures 4
1.4 Manufacturing System Challenges 7
1.5 Current Practices 8
1.6 Objective and Method of this Book 9
2 Markov Chains and Processes 19
2.1 Types 19
2.2 Discrete Time, Discrete State 22
2.3 Continuous Time, Discrete State 33
2.4 Discrete Time, Continuous State 44
2.5 Continuous Time, Continuous State 44
2.6 Continuous Time, Continuous and Discrete State 45
3 Transfer Lines 59
3.2 Variability 63
3.3 Zero Buffers and Infinite Buffers 65
3.4 Discussion of Some General Assumptions 69
3.5 Deterministic Processing Time Model 71
3.6 Deterministic Two-Machine Line 76
3.7 Exponential Model 93
3.8 Exponential Two-Machine Line 99
3.9 Continuous Model 112
3.10 Continuous Two-Machine Line 118
4 Decomposition of Long Transfer Lines 141
4.2 Deterministic Processing Time Model 144
4.3 Exponential Processing Time Model 157
5 Assembly/Disassembly Systems 179
5.2 Model 182
5.3 Decomposition Equations for Tree-Structured Networks 185
5.4 Otero-DDX Algorithm 194
5.5 Numerical Results 199
5.6 Equivalence 200
5.7 Instability of Assembly/Disassembly Networks 206
6 Jackson Network Models of FMSs 213
6.1 Flexible Manufacturing Systems 213
6.2 Queuing Network Models 214
6.3 Unreliable FMSs 220
7 Linear Programming 225
7.2 General Formulation of Linear Programming Problems 226
7.3 Basic Solutions 229
7.4 The Fundamental Theorem 231
7.5 The Simplex Method 231
7.6 Parametric Linear Programming 232
8 Dynamic Programming 241
8.1 Example - Discrete Time, Discrete State, Deterministic 241
8.2 Example - Continuous Time, Mixed State, Stochastic 245
8.3 Types 248
8.4 Cost-to-go 250
8.5 Discrete Time, Continuous State, Deterministic 250
8.6 Continuous Time, Continuous State, Deterministic 252
8.7 Bellman's Equation 253
8.8 Continuous Time, Mixed State, Stochastic 257
8.9 A Useful Approximation 260
9 Operating FMSs - Responding to Machine Failures 265
9.2 Failure Hierarchy 272
9.3 Single-Machine, Single-Part-Type Example 282
9.4 Larger Systems 295
9.6 Extensions 347
10 Hierarchical Scheduling and Planning 359
10.2 Production Events and Capacity 363
10.3 The Spectrum and the Hierarchy 374
10.4 Control in the Hierarchy 383
11 Setups 399
11.2 Setup Structures 403
11.3 Planning Setup Changes Without Feedback 404
11.4 Real-Time Setup Scheduling with Flow Models 414
11.5 Random Setups and Due Dates 434
12 Spatial Decomposition of Scheduling 443
12.2 Two-Machine, One-Part-Type Systems 448
12.3 Single-Part-Type Tandem Systems 459
12.4 Multiple-Part-Type Tandem Systems 464
12.5 Reentrant Systems 470
12.6 Cells and Virtual Machines 474
12.7 Other Policies for Networks of Machines 476
13 Pyramid-Shaped Hierarchy 483
13.1 Characteristics of a Scheduler for a Complex System 484
13.2 Pyramid Hierarchy 485
13.3 Designing and Scheduling Factories 491
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