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Operations and production systems with multiple objectives

Author: Behnam Malakooti
Publisher: Hoboken, New Jersey : Wiley, [2014]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

This textbook is the first comprehensive approach to combine, in a unified way, the three fields of Systems Engineering, Operations, and multi criteria decision-making (MCDM). All traditional  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Malakooti, Behnam, 1953-
Operations and production systems with multiple objectives.
(DLC) 2012035463
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Behnam Malakooti
ISBN: 1118585372 9781118585375 1306168953 9781306168953
OCLC Number: 895738755
Description: 1 online resource
Contents: Machine generated contents note: 1. Introduction --
1.1. Introduction --
1.1.1. Overview of Input and Output Systems --
1.1.2. Overview of the Chapters of This Book --
1.2. Production and Operations History and Perspective --
1.3. Production and Operations Models --
1.3.1. Production and Operations Planning --
1.3.2. Process Design and Logistics --
1.3.3. Quality, Reliability, and Measurement --
1.4. Systems Approach and Tools --
1.4.1. Systems Approach --
1.4.2. Multicriteria Decision Analysis --
1.4.3. Problem-Solving Tools --
1.5. Multicriteria Production/Operation Systems --
1.5.1. Pyramid of Multicriteria Production/Operations --
1.5.2. Hierarchical Multicriteria Planning --
1.6. Product and Process Life Cycle --
1.6.1. Product Life Cycle --
1.6.2. Process Life Cycle --
1.6.3. Product-Process Matrix --
1.7. Learning Curves --
1.7.1. Arithmetic Approach --
1.7.2. Logarithmic Approach --
1.7.3. Deteriorating Curves --
1.8. Capacity Planning --
1.8.1. Capacity Strategies --
1.8.2. Break-Even Analysis --
1.9. Machining/Operation Optimization --
1.9.1. Taylor's Tool Life Equation --
1.9.2. Multicriteria of Machining Operation --
References --
Exercise --
2. Multicriteria Decision Making --
2.1. Introduction --
2.1.1. Decision Process Paradigm --
2.1.2. Decision-Making and Process Pyramid --
2.1.3. Decision-Making Paradigm --
2.2. Efficiency and Its Extensions --
2.2.1. Efficiency (Nondominancy/Pareto Optimality) --
2.2.2. Polyhedral Graphical Efficiency --
2.2.3. Convex Efficiency --
2.2.4. Weight Space for Convex Efficient Points --
2.3. Utility Functions --
2.3.1. Z Utility Theory --
2.3.2. Nonlinear Utility Functions --
2.3.3. Additive Utility Functions --
2.3.4. Additive versus Multiplicative Utility Functions --
2.3.5. Value Functions for Multicriteria --
2.3.6. Double Helix (Dual) Value Functions: Prosperity and Mortality --
2.3.7. Normalized Criteria and Weights --
2.4. Additive Utility Function: Ordinal/Cardinal Approach --
2.4.1. Ordinal/Cardinal Approach: I. Assessment of Weights --
2.4.2. Ordinal/Cardinal Approach: II. External Verification --
2.4.3. Ordinal/Cardinal Approach: III. Assessment of Qualitative Criteria --
2.4.4. Ordinal/Cardinal Approach: IV. Ranking of Alternatives --
2.4.5. Analytic Hierarchy Process --
2.4.6. Effectiveness of AHP --
2.4.7. Quasi-linear Double Helix Value and Utility Functions --
2.5. Multiplicative ZUT --
2.5.1. Multiplicative ZUT --
2.5.2. Direct Assessment of M-ZUT --
2.5.3. Assessment of M-ZUT by Nonlinear Equations --
2.6. Goal-Seeking ZUT --
2.6.1. Goal-Seeking ZUT --
2.6.2. Review of GP and Its Effectiveness --
2.6.3. Goal Seeking: Z-GP --
2.6.4. Assessment of Goal-Seeking ZUT --
2.6.5. Binary Pole ZUT: Goal Seeking/Nadir Avoiding --
2.7. Multiple Objective Optimization --
2.7.1. Formulation of Multiple Objective Optimization --
2.7.2. Generation of Efficient Extreme Alternatives --
2.7.3. MOO of Additive and Multiplicative Utility Functions --
2.8. Goal-Seeking Multiple Objective Optimization --
2.8.1. Generation of Efficient Nonextreme Alternative --
2.8.2. Goal-Seeking MOO --
2.8.3. Binary Pole (Goal-Seeking/Nadir-Avoiding) MOO --
2.9. Paired Comparison and Interactive Methods --
2.9.1. Paired Comparison: Exhaustive Search --
2.9.2. Paired Comparison: Basic Idea of Interactive Methods --
2.9.3. Paired Comparison: Interactive Bicriteria Method --
2.9.4. Paired Comparison: Advanced Interactive Methods --
2.9.5. MCDM Validation and Extension to Clustering --
References --
Exercises --
3. Forecasting --
3.1. Introduction --
3.1.1. Time Horizons in Time Series Forecasting --
3.1.2. Principles of Forecasting --
3.2. Forecasting Approaches --
3.2.1. Forecasting Process --
3.2.2. Qualitative-Subjective Forecasting --
3.2.3. Accuracy Measurement --
3.2.4. Quality Control and Tracking Error Charts --
3.2.5. Over- and Underfitting in Forecasting --
3.2.6. Basics and Types of Time Series --
3.3. Time Series: Moving Averages --
3.3.1. Moving Averages --
3.3.2. Weighted Moving Averages --
3.4. Time Series: Exponential Smoothing --
3.4.1. Exponential Smoothing --
3.4.2. Multicriteria Exponential Smoothing --
3.5. Time Series: Trend-Based Methods --
3.5.1. Time Series Trend Analysis by Linear Regression --
3.5.2. Trend-Adjusted Double-Exponential Smoothing --
3.6. Time Series: Cyclic/Seasonal --
3.7. Linear Regression --
3.7.1. Linear Regression --
3.7.2. Linear Regression for Time Series --
3.7.3. Multicriteria Linear Regression --
3.8. Multiple-Variable Linear Regression --
3.8.1. Multiple Linear Regression by Quadratic Optimization --
3.8.2. MSE and Correlation for Multiple Linear Regression --
3.9. Quadratic Regression --
3.9.1. Regression by Quadratic Optimization. 3.9.2. Multiple Variable by Quadratic Optimization --
3.9.3. Qualitative Regression --
3.10. Z Theory Nonlinear Regression and Times Series --
3.10.1. Nonlinear Multiple-Variable Regression by Z Theory --
3.10.2. Nonlinear Time Series by Z Theory --
References --
Exercises --
4. Aggregate Planning --
4.1. Introduction --
4.2. Graphical Approach --
4.2.1. Input-Output Model --
4.2.2. Graphical Approach: One Variable --
4.3. Tabular Method --
4.4. Linear Programming Method --
4.4.1. Linear Programming Formulation --
4.4.2. Integer Linear Programming --
4.4.3. LP Excel Solver --
4.5. Integrated LP Aggregate Planning --
4.5.1. Multiproduct LP Aggregate Planning --
4.5.2. Multiproduct LP with Common Resources --
4.5.3. Multicomponent Multiproduct Planning --
4.6. Multiobjective LP Aggregate Planning --
4.6.1. LP with Linear Objectives --
4.6.2. Multicriteria Problem with Nonlinear Objectives --
4.7. Dissaggregation and Master Schedule --
References --
Exercises --
5. Push-And-Pull (Mrp/Jit) Systems --
5.1. Introduction --
5.2. Materials Requirement Planning: Push System --
5.2.1. Bill of Materials --
5.2.2. Time-Phased Product Structure --
5.2.3. Material Requirement Planning --
5.3. Lot-Sizing Approaches --
5.3.1. Lot-for-Lot --
5.3.2. Economic Order Quantity --
5.3.3. Part Period Balancing --
5.3.4. Silver-Meal Heuristic --
5.3.5. Least-Unit-Cost Heuristic --
5.3.6. Comparison of Lot-Sizing Approaches --
5.4. Lot Sizing with Capacity Constraints --
5.4.1. Backward-Forward Lot Sizing --
5.4.2. Multiple-Item Lot Sizing --
5.5. Lot-Sizing Optimization --
5.5.1. Lot-Sizing Optimization with Constraints --
5.5.2. Bicriteria Push-and-Pull Lot Sizing --
5.5.3. Multiobjective Optimization (MOO) --
5.6. Extensions of MRP --
5.6.1. Closed-Loop MRP --
5.6.2. Capacity Requirements Planning --
5.6.3. Manufacturing Resource Planning --
5.6.4. Enterprise Resource Planning --
5.6.5. Distribution Resource Planning --
5.6.6. Supply Chain Management --
5.7. Just-In-Time: Pull System --
5.7.1. Principles of JIT --
5.7.2. Kanban System --
5.8. Multicriteria Hybrid Push-and-Pull Systems --
5.8.1. Push-and-Pull Hybrid Systems --
5.8.2. Three Types of Hybrid Push-and-Pull Systems --
References --
Exercises --
6. Inventory Planning And Control --
6.1. Introduction --
6.2. Economic Order Quantity --
6.2.1. Basic EOQ Model --
6.2.2. Robustness: Sensitivity of EOQ --
6.3. Economic Production Quantity --
6.4. EOQ: Allowing Shortages --
6.4.1. EOQ Model Allowing Shortages --
6.4.2. Inventory Model Allowing Limited Shortage --
6.5. Multicriteria Inventory --
6.5.1. Bicriteria Economic Order Quantity --
6.5.2. Bicriteria Economic Production Quantity --
6.5.3. Tricriteria EOQ Allowing Shortages --
6.6. Quantity Discount Inventory --
6.6.1. EOQ with Quantity Discount --
6.6.2. Bicriteria EOQ with Quantity Discount --
6.7. Multi-Item Inventory --
6.7.1. Multi-Item Inventory Optimization --
6.7.2. Multiobjective Multi-Item Inventory Optimization --
6.8. Multi-Item Inventory Classification --
6.8.1. Cost-Based Multi-Item Classification --
6.8.2. The Critical Index Multi-Item Classification --
6.8.3. Multicriteria Inventory Classification --
6.9. Probabilistic Inventory and Safety Stock --
6.9.1. Basic Model of Probabilistic Inventory --
6.9.2. Multicriteria Probabilistic Inventory --
6.10. Single-Period Model: Perishable --
6.10.1. Target Service Ratio --
6.10.2. Target Inventory with Continuous Probabilities --
6.10.3. Target Inventory with Discrete Probabilities --
6.10.4. Multicriteria of Perishable Inventory --
References --
Exercises --
7. Scheduling And Sequencing --
7.1. Introduction --
7.2. Sequencing n Jobs by One Processor --
7.2.1. Sequencing Performance Measurements --
7.2.2. Sequencing Algorithms for n x 1 --
7.2.3. Bicriteria Composite Approach for n x 1 --
7.2.4. Generating the Efficient Frontier for n x 1 --
7.2.5. Tricriteria for n x 1 --
7.3. Sequencing n Jobs by Two Processors --
7.3.1. Flow Shop of n x 2 (Johnson's Rule) --
7.3.2. Job Shop of n x 2 --
7.3.3. Multicriteria of n x 2 --
7.4. Sequencing n Jobs by m Processors --
7.4.1. Algorithm for n x 3 --
7.4.2. Algorithm for n x m: Campbell Method --
7.4.3. Multicriteria of n x m --
7.5. Job Shop of Two Jobs by m Processors --
7.5.1. Algorithm for 2 x m --
7.5.2. Multicriteria of 2 x m --
7.6. Sequencing of n x m: Head-Tail Approach --
7.6.1. Overview of Head-Tail for Solving n x m --
7.6.2. Flow Shop of n x m: Cardinal Head-Tail --
7.6.3. Job Shop of n x m: Cardinal Head-Tail --
7.6.4. Multicriteria of n x m --
7.7. Stochastic Sequencing --
7.7.1. Stochastic Sequencing of n x 1. Note continued: 7.7.2. Bicriteria Stochastic Sequencing of n x 1 --
7.7.3. Stochastic Sequencing of n x 2 --
References --
Exercises --
8. Project Management --
8.1. Introduction --
8.2. Critical-Path Method --
8.2.1. Constructing CPM Network --
8.2.2. Critical-Path Method Algorithm --
8.2.3. Project Monitoring and Gantt Chart --
8.3. CPM Time-Cost Trade-Off Method --
8.3.1. Time-Cost Trade-Off Algorithm --
8.3.2. Considering Indirect Cost --
8.3.3. Bicriteria Time-Cost Trade-Off --
8.4. Linear Programming for Project Management --
8.4.1. Linear Programming for Solving CPM --
8.4.2. Linear Programming Time-Cost Trade-Off --
8.4.3. Multiobjective LP Time-Cost Trade-Off --
8.5. PERT: Probabilistic CPM --
8.5.1. PERT Method --
8.5.2. Bicriteria PERT --
8.5.3. Tricriteria Time-Cost Trade-Off in PERT --
8.6. Project Management with Resource Constraints --
8.6.1. CPM with One Resource Constraint --
8.6.2. CPM with Multiple-Resource Constraints --
8.6.3. Bicriteria CPM with Resource Constraints --
Reference --
Exercises --
9. Supply Chain And Transportation --
9.1. Supply Chain Management --
9.1.1. Customer and Supplier Interface --
9.1.2. Supply Chain Performance Criteria --
9.2. Assignment Problem --
9.2.1. Hungarian Method --
9.2.2. Extensions of Assignment Problem --
9.2.3. Multicriteria Assignment Problem --
9.3. Optimization for Assignment --
9.3.1. Integer Linear Programming --
9.3.2. Multiobjective Optimization of Assignment --
9.4. Transportation Problem --
9.4.1. Transportation Problem --
9.4.2. Minimizing Cost by Vogel's Method --
9.4.3. Unbalanced Transportation Problem --
9.4.4. Multicriteria Transportation Problem --
9.5. Optimization for Transportation --
9.5.1. Linear Programming for Transportation --
9.5.2. Multiobjective Optimization of Transportation --
9.5.3. Transshipment Problem --
References --
Exercises --
10. Productivity And Efficiency --
10.1. Introduction --
10.2. Basic Productivity Indexes --
10.3. Multifactor Productivity Growth --
10.4. Single-Factor Efficiency --
10.4.1. Single-Factor Efficiency --
10.4.2. Bicriteria Single-Factor Efficiency --
10.5. Multifactor Efficiency and DEA --
10.5.1. Data Envelopment Analysis --
10.5.2. Linear Programming Formulation for DEA --
10.6. Multicriteria Efficiency and DEA --
10.6.1. Multiobjective Linear Programming of Efficiency and DEA --
10.6.2. Multicriteria Ranking of Units --
10.7. Productivity of a Network of Processors --
10.7.1. Productivity of a Network of Processors --
10.7.2. Multicriteria Productivity of a Network --
References --
Exercises --
11. Energy System Design And Operation --
11.1. Introduction --
11.2. Energy Perspective --
11.2.1. Climate Change and Global Warming --
11.2.2. Comparison of Different Types of Energy --
11.2.3. Environmental Impact --
11.2.4. Energy Measurement --
11.3. Multicriteria Energy Decisions --
11.3.1. Seven Principles for Energy Sustainability --
11.3.2. Bicriteria Energy Selection --
11.3.3. Multicriteria Energy Selection --
11.4. Routing and Procurement in Energy Systems --
11.4.1. Shortest Route Algorithm --
11.4.2. Energy Procurement in Distributed Systems --
11.4.3. Multicriteria Energy Routing --
11.5. Optimization of Energy Systems --
11.5.1. Energy Operations Optimization --
11.5.2. Energy Systems Design Optimization --
11.5.3. Period-by-Period Optimization --
11.5.4. Aggregate Multiperiod Optimization --
11.5.5. Multiobjective Optimization of Energy Systems --
11.6. Efficiency of Energy Systems --
11.6.1. Energy Systems with One Input and One Output --
11.6.2. Energy Systems with Multiple Inputs and Outputs --
11.7. Case Study: Wind Energy System --
11.7.1. Wind Energy --
11.7.2. Wind Power Characteristics --
11.7.3. Break-Even Analysis --
References --
Exercises --
12. Clustering And Group Technology --
12.1. Introduction --
12.2. Clustering Data and Measurements --
12.2.1. Types of Data Representation --
12.2.2. Distance Measurement Metrics --
12.3. Group Technology Clustering --
12.3.1. Group Technology Problem --
12.3.2. Classification and Coding --
12.3.3. Clustering by Visual Inspection and Intuition --
12.4. Rank Order Clustering --
12.4.1. ROC Method for Binary Data --
12.4.2. Bicriteria Rank Order Clustering --
12.4.3. Selection of Machines to Be Duplicated --
12.4.4. Tricriteria Rank Order Clustering --
12.5. Similarity Coefficient-Hierarchical Clustering --
12.5.1. Similarity Coefficient for Binary Data --
12.5.2. Simultaneous SC Clustering --
12.5.3. Multicriteria Similarity Coefficient --
12.5.4. Linkage Approaches --
12.5.5. Hierarchical Clustering for Continuous Data --
12.6. P-Median Optimization Clustering --
12.6.1. P-Median Method for Binary Data. 12.6.2. Bicriteria P-Median Clustering --
12.6.3. P-Median for Continuous Data --
12.7. K-Means Clustering --
12.7.1. K-Means Method --
12.7.2. Bicriteria K-Means --
12.8. Multiperspective Multicriteria Clustering --
12.8.1. Multicriteria Clustering Problems --
12.8.2. Z Theory Clustering Using K-Mean --
Reference --
Exercises --
13. Cellular Layouts And Networks --
13.1. Introduction --
13.2. Unidirectional Network Problem --
13.2.1. Total Flow Based on Product Sequence --
13.2.2. Total Flow Based on From-To Matrix --
13.2.3. Concordance and Discordance Measurement --
13.3. Unidirectional Head-Tail Methods --
13.3.1. Ordinal (Qualitative) Head-Tail for Unidirectional Flow --
13.3.2. Cardinal Head-Tail Method for Unidirectional Flow --
13.3.3. Pairwise Exchange Improvement --
13.3.4. Multicriteria Unidirectional by Composite Approach --
13.4. Bidirectional Head-Tail Methods --
13.4.1. Ordinal (Qualitative) Head-Tail for Bidirectional Flow --
13.4.2. Cardinal Head-Tail for Bidirectional Flow --
13.4.3. Multicriteria Bidirectional by Composite Approach --
13.5. Unidirectional Optimization --
13.5.1. Optimization Method for Unidirectional Flow --
13.5.2. Multicriteria Optimization of Unidirectional Flow --
13.6. Bidirectional Optimization --
13.6.1. Optimization Method for Bidirectional Flow --
13.6.2. Multicriteria Optimization for Bidirectional Flow --
13.7. Combinatorial Optimization By Head-Tail --
13.7.1. Traveling Salesman Problem: Head-Tail Approach --
13.7.2. Ordinal (Qualitative) Head-Tail Combinatorial --
13.7.3. Cardinal Head-Tail Combinatorial --
13.7.4. Simultaneous Head-Tail Combinatorial --
13.7.5. Pairwise Exchange Improvement Method --
13.7.6. Multiobjective Combinatorial Optimization --
13.7.7. Computational Efficiency of Head-Tail Methods --
References --
Exercises --
14. Assembly Systems --
14.1. Introduction --
14.2. Assembly Line Problem --
14.3. Assembly Line Balancing Methods --
14.3.1. Largest Candidate Rule --
14.3.2. Column Precedence --
14.3.3. Positional Weight Method --
14.4. Qualitative ALB: Head-Tail Approach --
14.5. Multicriteria ALB --
14.5.1. Minimizing Cycle Time for Given Number of Stations --
14.5.2. Optimizing ALB Profit --
14.5.3. Bicriteria ALB Problem --
14.5.4. Tricriteria ALB with Qualitative Closeness --
14.6. Mixed-Product ALB --
14.7. Stochastic ALB --
14.7.1. Single-Objective Stochastic ALB --
14.7.2. Multicriteria Stochastic ALB --
Reference --
Exercises --
15. Facility Layout --
15.1. Introduction --
15.1.1. Layout Classification --
15.1.2. Hierarchical Layout Planning --
15.2. Systematic Layout Planning --
15.3. Rule-Based Layout --
15.3.1. Calculating Total Cost and Flow --
15.3.2. Identical Layouts --
15.3.3. Rule-Based Layout for Single Row --
15.3.4. Rule-Based Layout for Multiple Rows --
15.3.5. RBL for Qualitative and Odd Shapes --
15.3.6. Rule-Based Layout with Constraints --
15.4. Pairwise Exchange Method --
15.4.1. Pairwise Exchange Procedure --
15.4.2. Pairwise Exchange for Qualitative Data --
15.4.3. Hybrid Rule-Based and Pairwise Exchange --
15.5. Multicriteria Layout Planning --
15.5.1. Bicriteria Layout --
15.5.2. Efficient Frontier --
15.6. Facility Relayout --
15.6.1. Calculating Relayout Cost --
15.6.2. Relayout with Given Budget --
15.7. Quadratic Assignment Optimization --
15.8. Layout Software Packages --
References --
Exercises --
16. Location Decisions --
16.1. Introduction --
16.2. Break-Even Analysis --
16.3. Rectilinear Method --
16.3.1. Rectilinear Method --
16.3.2. Multicriteria Rectilinear Method --
16.4. Euclidean Method --
16.4.1. Center-of-Gravity Method --
16.4.2. Multicriteria Center-of-Gravity-Method --
16.5. Multicriteria Location Selection --
16.5.1. Ordinal/Cardinal Approach for Location Selection --
16.5.2. Z Theory for Location Selection --
16.6. Location Allocation-Supplier Selection --
16.6.1. Single-Objective Location Allocation --
16.6.2. Multiple-Objective Location Allocation --
16.6.3. Location Allocation with Capacity Constraints --
Reference --
Exercises --
17. Quality Control And Assurance --
17.1. Introduction --
17.2. Multiple-Criteria Quality Function Deployment --
17.2.1. Three Perspectives of QFD --
17.2.2. Multicriteria Views of Customer and Producer --
17.2.3. Multicriteria Views of Customer and Producer --
17.3. Process Control Background --
17.3.1. Classification of Types of Measurements --
17.3.2. Statistical Background --
17.4. Process Control Variable Charts --
17.4.1. Control Charts for Variables --
17.4.2. Mean Chart with Known Standard Deviation --
17.4.3. Mean Chart with Unknown Standard Deviation --
17.4.4. Range Chart. Note continued: 17.4.5. Sampling Accuracy for Mean Chart --
17.4.6. Bicriteria Sampling for Mean Chart --
17.5. Process Control Capability --
17.5.1. Process Capability Versus Design Tolerances --
17.5.2. Process Capability for Symmetric Tolerances --
17.5.3. Process Capability for Nonsymmetric Tolerances --
17.5.4. Practical Limits on Upper and Lower Control Limits --
17.6. Process Control Attribute Charts --
17.6.1. Control Chart for Attributes: p-Chart --
17.6.2. Control Chart for Attributes: c-Chart --
17.6.3. Bicriteria Sampling for p-Chart --
17.6.4. Bicriteria Sampling for c-Chart --
17.7. Acceptance Sampling Characteristics --
17.7.1. Statistical Distributions for Sampling --
17.7.2. Operating Characteristic Curve --
17.7.3. Producer's and Consumer's Risks --
17.7.4. Finding Optimal Sampling Size, n, c --
17.8. Acceptance Sampling Outgoing Quality --
17.8.1. Average Outgoing Quality --
17.8.2. Bicriteria Acceptance Sampling --
17.8.3. Sequential Sampling Plans --
References --
Exercises --
18. Work Measurement --
18.1. Introduction --
18.2. Work Analysis --
18.2.1. Analysis of Methods --
18.2.2. Study of Motion --
18.3. Standard Time --
18.3.1. Stopwatch Studies --
18.3.2. Standard Time Formulas --
18.3.3. Standard Time Procedure --
18.4. Sample Size for Standard Time --
18.4.1. Finding Sample Size --
18.4.2. Finding Accuracy of Given Sample Size --
18.5. Multicriteria Sampling for Standard Time --
18.5.1. Generation of Set of Efficient Alternatives --
18.5.2. Ranking with Additive Utility Functions --
18.5.3. Optimal Sampling Size for Additive Utility Functions --
18.6. Work Sampling --
18.6.1. Finding Sample Size for p-Chart --
18.6.2. Finding Standard Time per Part --
18.6.3. Illustration of p-Control Charts --
18.6.4. Multicriteria p-Chart Sampling Plan --
18.7. Predetermined time standards --
References --
Exercises --
19. Reliability And Maintenance --
19.1. Introduction --
19.2. Reliability of Single Units --
19.2.1. Exponential Reliability Functions --
19.2.2. Multicriteria Reliability of Single Unit --
19.3. Mean Time between Failure --
19.3.1. Mean Time between Failure for Single Units --
19.3.2. Mean Time between Failure for Multiple Units --
19.3.3. Failure Rate Signature --
19.4. Reliability of Multiple Units --
19.4.1. Series Systems --
19.4.2. Parallel Systems --
19.4.3. Hybrid Systems --
19.5. Multicriteria Reliability of Multiple Units --
19.5.1. Reliability-Cost Trade-off Algorithm --
19.5.2. Use of Improved Units to Increase System Reliability --
19.6. Maintenance Policies --
19.6.1. Single-Objective Maintenance Policy --
19.6.2. Multiobjective Maintenance Policy --
19.7. Replacement Policies --
19.7.1. Single-Objective Replacement --
19.7.2. Multiobjective Replacement Policy --
19.7.3. General Replacement Model --
19.7.4. Multicriteria of General Replacement Model --
References --
Exercises.
Responsibility: Behnam Malakooti.

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Primary Entity<\/h3>\n
<http:\/\/www.worldcat.org\/oclc\/895738755<\/a>> # Operations and production systems with multiple objectives<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:MediaObject<\/a>, schema:CreativeWork<\/a>, schema:Book<\/a> ;\u00A0\u00A0\u00A0\nlibrary:oclcnum<\/a> \"895738755<\/span>\" ;\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/id.loc.gov\/vocabulary\/countries\/nju<\/a>> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/1185061656#Topic\/production_management<\/a>> ; # Production management<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/1185061656#Topic\/operations_research<\/a>> ; # Operations research<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/dewey.info\/class\/658.5\/e23\/<\/a>> ;\u00A0\u00A0\u00A0\nschema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/1185061656#Person\/malakooti_behnam_1953<\/a>> ; # Behnam Malakooti<\/span>\n\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> schema:EBook<\/a> ;\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"2014<\/span>\" ;\u00A0\u00A0\u00A0\nschema:exampleOfWork<\/a> <http:\/\/worldcat.org\/entity\/work\/id\/1185061656<\/a>> ;\u00A0\u00A0\u00A0\nschema:genre<\/a> \"Electronic books<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:inLanguage<\/a> \"en<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isSimilarTo<\/a> <http:\/\/worldcat.org\/entity\/work\/data\/1185061656#CreativeWork\/operations_and_production_systems_with_multiple_objectives<\/a>> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Operations and production systems with multiple objectives<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:productID<\/a> \"895738755<\/span>\" ;\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/VH7QX3XE2P.search.serialssolutions.com\/?V=1.0&L=VH7QX3XE2P&S=JCs&C=TC0001061449&T=marc&tab=BOOKS<\/a>> ;\u00A0\u00A0\u00A0\nschema:url<\/a> <http:\/\/www.myilibrary.com?id=548146<\/a>> ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9781306168953<\/a>> ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9781118585375<\/a>> ;\u00A0\u00A0\u00A0\nwdrs:describedby<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/895738755<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n\n

Related Entities<\/h3>\n
<http:\/\/dewey.info\/class\/658.5\/e23\/<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/1185061656#Person\/malakooti_behnam_1953<\/a>> # Behnam Malakooti<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Person<\/a> ;\u00A0\u00A0\u00A0\nschema:birthDate<\/a> \"1953<\/span>\" ;\u00A0\u00A0\u00A0\nschema:familyName<\/a> \"Malakooti<\/span>\" ;\u00A0\u00A0\u00A0\nschema:givenName<\/a> \"Behnam<\/span>\" ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Behnam Malakooti<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/1185061656#Topic\/operations_research<\/a>> # Operations research<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Operations research<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/1185061656#Topic\/production_management<\/a>> # Production management<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Production management<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/id.loc.gov\/vocabulary\/countries\/nju<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\ndcterms:identifier<\/a> \"nju<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/entity\/work\/data\/1185061656#CreativeWork\/operations_and_production_systems_with_multiple_objectives<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:CreativeWork<\/a> ;\u00A0\u00A0\u00A0\nrdfs:label<\/a> \"Operations and production systems with multiple objectives.<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"Print version:<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isSimilarTo<\/a> <http:\/\/www.worldcat.org\/oclc\/895738755<\/a>> ; # Operations and production systems with multiple objectives<\/span>\n\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/isbn\/9781118585375<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:ProductModel<\/a> ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"1118585372<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"9781118585375<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
<http:\/\/worldcat.org\/isbn\/9781306168953<\/a>>\u00A0\u00A0\u00A0\u00A0a \nschema:ProductModel<\/a> ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"1306168953<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isbn<\/a> \"9781306168953<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n