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.

Table of Contents:
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