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Operations and Production Systems with Multiple Objectives

Hardcover

$183.00

Operations and Production Systems with Multiple Objectives

Behnam Malakooti

ISBN: 978-0-470-03732-4 February 2014 1114 Pages

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Description

The first comprehensive book to uniquely combine the three fields of systems engineering, operations/production systems, and multiple criteria decision making/optimization

Systems engineering is the art and science of designing, engineering, and building complex systems—combining art, science, management, and engineering disciplines. Operations and Production Systems with Multiple Objectives covers all classical topics of operations and production systems as well as new topics not seen in any similiar textbooks before: small-scale design of cellular systems, large-scale design of complex systems, clustering, productivity and efficiency measurements, and energy systems.

Filled with completely new perspectives, paradigms, and robust methods of solving classic and modern problems, the book includes numerous examples and sample spreadsheets for solving each problem, a solutions manual, and a book companion site complete with worked examples and supplemental articles.

Operations and Production Systems with Multiple Objectives will teach readers:

  • How operations and production systems are designed and planned
  • How operations and production systems are engineered and optimized
  • How to formulate and solve manufacturing systems problems
  • How to model and solve interdisciplinary and systems engineering problems
  • How to solve decision problems with multiple and conflicting objectives

This book is ideal for senior undergraduate, MS, and PhD graduate students in all fields of engineering, business, and management as well as practitioners and researchers in systems engineering, operations, production, and manufacturing.

Related Resources

Preface xxvii

Acknowledgment xxxiii

1 Introduction 1

1.1 Introduction 1

1.2 Production and Operations History and Perspective 5

1.3 Production and Operations Models 8

1.4 Systems Approach and Tools 16

1.5 Multicriteria Production/Operation Systems 21

1.6 Product and Process Life Cycle 26

1.7 Learning Curves 29

1.8 Capacity Planning 33

1.9 Machining/Operation Optimization 36

References 40

Exercises 42

2 Multicriteria Decision Making 49

2.1 Introduction 49

2.2 Efficiency and Its Extensions 54

2.3 Utility Functions 62

2.4 Additive Utility Function: Ordinal/Cardinal Approach 75

2.5 Multiplicative ZUT 93

2.6 Goal-Seeking ZUT 100

2.7 Multiple Objective Optimization 111

2.8 Goal-Seeking Multiple Objective Optimization 119

2.9 Paired Comparison and Interactive Methods 125

References 131

Exercises 134

3 Forecasting 145

3.1 Introduction 145

3.2 Forecasting Approaches 148

3.3 Time Series: Moving Averages 158

3.4 Time Series: Exponential Smoothing 161

3.5 Time Series: Trend-Based Methods 166

3.6 Time Series: Cyclic/Seasonal 170

3.7 Linear Regression 174

3.8 Multiple-Variable Linear Regression 183

3.9 Quadratic Regression 188

3.10 Z Theory Nonlinear Regression and Times Series 196

References 201

Exercises 203

4 Aggregate Planning 213

4.1 Introduction 213

4.2 Graphical Approach 215

4.3 Tabular Method 220

4.4 Linear Programming Method 227

4.5 Integrated LP Aggregate Planning 237

4.6 Multiobjective LP Aggregate Planning 244

4.7 Dissaggregation and Master Schedule 252

References 255

Exercises 256

5 Push-and-Pull (MRP/JIT) Systems 265

5.1 Introduction 265

5.2 Materials Requirement Planning: Push System 267

5.3 Lot-Sizing Approaches 272

5.4 Lot Sizing with Capacity Constraints 280

5.5 Lot-Sizing Optimization 283

5.6 Extensions of MRP 294

5.7 Just-In-Time: Pull System 297

5.8 Multicriteria Hybrid Push-and-Pull Systems 301

Systems 303

References 304

Exercises 306

6 Inventory Planning and Control 313

6.1 Introduction 313

6.2 Economic Order Quantity 317

6.3 Economic Production Quantity 324

6.4 EOQ: Allowing Shortages 327

6.5 Multicriteria Inventory 332

6.6 Quantity Discount Inventory 342

6.7 Multi-Item Inventory 349

Optimization 351

6.8 Multi-Item Inventory Classification 355

6.9 Probabilistic Inventory and Safety Stock 361

6.10 Single-Period Model: Perishable 364

References 370

Exercises 372

7 Scheduling and Sequencing 381

7.1 Introduction 381

7.2 Sequencing n Jobs by One Processor 383

7.3 Sequencing n Jobs by Two Processors 395

7.4 Sequencing n Jobs by m Processors 402

7.5 Job Shop of Two Jobs by m Processors 408

7.6 Sequencing of n × m: Head–Tail Approach 411

7.7 Stochastic Sequencing 421

References 427

Exercises 429

8 Project Management 439

8.1 Introduction 439

8.2 Critical-Path Method 441

8.3 CPM Time–Cost Trade-Off Method 452

8.4 Linear Programming for Project Management 461

8.5 PERT: Probabilistic CPM 470

8.6 Project Management with Resource Constraints 479

References 487

Exercises 489

9 Supply Chain and Transportation 499

9.1 Supply Chain Management 499

9.2 Assignment Problem 504

9.3 Optimization for Assignment 514

9.4 Transportation Problem 520

9.5 Optimization for Transportation 528

References 535

Exercises 537

10 Productivity and Efficiency 547

10.1 Introduction 547

10.2 Basic Productivity Indexes 548

10.3 Multifactor Productivity Growth 551

10.4 Single-Factor Efficiency 553

10.5 Multifactor Efficiency and DEA 555

10.6 Multicriteria Efficiency and DEA 560

10.7 Productivity of a Network of Processors 564

References 570

Exercises 571

11 Energy System Design and Operation 579

11.1 Introduction 579

11.2 Energy Perspective 583

11.3 Multicriteria Energy Decisions 587

11.4 Routing and Procurement in Energy Systems 591

11.5 Optimization of Energy Systems 602

11.6 Efficiency of Energy Systems 619

11.7 Case Study: Wind Energy System 622

References 630

Exercises 632

12 Clustering and Group Technology 643

12.1 Introduction 643

12.2 Clustering Data and Measurements 647

12.3 Group Technology Clustering 651

12.4 Rank Order Clustering 655

12.5 Similarity Coefficient–Hierarchical Clustering 664

12.6 P-Median Optimization Clustering 679

12.7 K-Means Clustering 689

12.8 Multiperspective Multicriteria Clustering 697

References 704

Exercises 706

13 Cellular Layouts and Networks 717

13.1 Introduction 717

13.2 Unidirectional Network Problem 721

13.3 Unidirectional Head–Tail Methods 724

13.4 Bidirectional Head–Tail Methods 735

13.5 Unidirectional Optimization 743

13.6 Bidirectional Optimization 749

13.7 Combinatorial Optimization by Head–Tail 754

References 768

Exercises 770

14 Assembly Systems 777

14.1 Introduction 777

14.2 Assembly Line Problem 778

14.3 Assembly Line Balancing Methods 779

14.4 Qualitative ALB: Head–Tail Approach 783

14.5 Multicriteria ALB 786

14.6 Mixed-Product ALB 791

14.7 Stochastic ALB 793

References 795

Exercises 797

15 Facility Layout 803

15.1 Introduction 803

15.2 Systematic Layout Planning 810

15.3 Rule-Based Layout 814

15.4 Pairwise Exchange Method 830

15.5 Multicriteria Layout Planning 836

15.6 Facility Relayout 839

15.7 Quadratic Assignment Optimization 845

15.8 Layout Software Packages 848

References 849

Exercises 851

16 Location Decisions 861

16.1 Introduction 861

16.2 Break-Even Analysis 863

16.3 Rectilinear Method 865

16.4 Euclidean Method 872

16.5 Multicriteria Location Selection 876

16.6 Location Allocation–Supplier Selection 881

References 891

Exercises 893

17 Quality Control and Assurance 903

17.1 Introduction 903

17.2 Multiple-Criteria Quality Function Deployment 906

17.3 Process Control Background 912

17.4 Process Control Variable Charts 920

17.5 Process Control Capability 932

17.6 Process Control Attribute Charts 935

17.7 Acceptance Sampling Characteristics 944

17.8 Acceptance Sampling Outgoing Quality 954

References 961

Exercises 963

18 Work Measurement 973

18.1 Introduction 973

18.2 Work Analysis 975

18.3 Standard Time 977

18.4 Sample Size for Standard Time 981

18.5 Multicriteria Sampling for Standard Time 988

18.6 Work Sampling 991

18.7 Predetermined time standards 999

References 1001

Exercises 1002

19 Reliability and Maintenance 1009

19.1 Introduction 1009

19.2 Reliability of Single Units 1010

19.3 Mean Time between Failure 1016

19.4 Reliability of Multiple Units 1021

19.5 Multicriteria Reliability of Multiple Units 1024

19.6 Maintenance Policies 1029

19.7 Replacement Policies 1033

References 1042

Exercises 1044

Appendix A The Standard Normal Distribution 1053

Appendix B Cumulative Binomial Probabilities 1055

Appendix C Cumulative Poisson Probabilities 1057

Index 1063

“Operations and Production Systems with Multiple Objectivesis very easy to read, and each chapter starts with an introduction and ends with a summary and a well-selected list of references.”  (IEEE Systems, Man, & Cybernetics Magazine, 1 April 2015)