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Behnam Malakooti, Ph.D., P.E.
 

Multiple Objective Layout Design

Behnam Malakooti

Brief Table Of Contents Detailed Table Of Contents

  • Part I. Multiple Objective Facility Layout Optimization

    • Chapter 1 Generating All Efficient Alternatives for Multiple Objective Facility Layout Problems
      • Multi-Objective Facility Layout: A Heuristic Method to Generate All Efficient Alternatives (33)
      • 1. Introduction
      • 2. Generation of Efficient Layout by Weighting Methods and their Characteristics
        • 2.1. Generation of Weights Associated with an Alternative
      • 3. A Heuristic Search Technique to Generate Efficient Layout Alternatives
      • 4. An Example, Deriving Weights and Experiments
      • 5. Conclusions and Discussions
      • 6. Appendix A. Details of Experiments Reported in Table 2
      • 7. Appendix B. An Example of a Nine-Department Problem
      • 8. Appendix C. An Example
      • 9. References
    • Chapter 2 Multiple Objective Quadratic Assignment with Additive Multiple Criteria Utility Functions
      • Multiple Objective Programming for the Quadratic Assignment Problem (42)
      • 1. Introduction
      • 2. A Multiple Criteria Decision Making Quadratic Assignment Formulation
      • 3. A Heuristic Solution Procedure to Generate Efficient Layout Solutions
      • 4. Assessment of Weighting Factors
      • 5. Some Experiments with Computer Packages and an Example
      • 6. Conclusions and Discussion
      • 7. Appendix
      • 8. References
    • Chapter 3 Multiple Objective Facility Layout with Nonlinear Multiple Criteria Utility Functions
      • Computer Aided Facility Layout Selection with Applications to Multiple Criteria Manufacturing Planning Problems (43)
      • 1. Introduction
      • 2. The Multiple Criteria Decision Making Facility Layout Problem
      • 3. An Interactive Approach for Facility Layout Selection
      • 4. Some Experiments with the Method
      • 5. Conclusions and Further Research
      • 6. Appendix
      • 7. References
    • Chapter 4 Expert Systems for Multiple Criteria Layout Problems
      • An Expert System Using Priorities for Solving Multiple Criteria Facility Layout Problems (37)
      • 1. Introduction
      • 2. Layout Construction by Expert Systems
        • 2.1. Database
        • 2.2. Knowledge Base
        • 2.3. Priority Base
      • 3. The Mechanism of the Inference Engine
      • 4. Some Experiments with Computer Package
      • 5. An Example
      • 6. Conclusions
      • 7. References

  • Part II. Multiple Objective Assembly Line Balancing Optimization

    • Chapter 5 Assembly Line Balancing Multiple Criteria Decision Making: Interactive Paired Comparison and Feasible Goal Approaches
      • A Multiple Criteria Decision Making Approach for the Assembly Line Balancing Problem (28)
      • 1. Introduction
      • 2. Mathematical Formulation and Assumptions
        • 2.1. Objective One - Number of Workstations
        • 2.2. Objective Two - Cycle Time
        • 2.3. Objective Three - Operating Short-Term Cost
        • 2.4. The MCDM-ASSEMBLY LINE BALANCING Problem with its Constraints
      • 3. Generation of Efficient Alternatives and Quasi-Concave and Quasi-Convex Utility Functions for Assembly Line Balancing
      • 4. An Interactive Procedure for Solving the Multiple Criteria Decision Making Assembly Line Balancing Problem
        • 4.1. Exact Procedure for Quasi-Convex Utility Function
        • 4.2. Exact Method for any Preference Structure
      • 5. The Bicriteria Assembly Line Balancing Problem and some Illustrative Examples
        • 5.1. Numerical Example for Quasi-Concave Utility Function with Three Criteria
      • 6. Computational Examples
      • 7. Assembly Line Balancing with Several Criteria: an Improved Goal Programming Approach
      • 8. An Improved Goal Programming
      • 9. An Interactive Paired Comparison Method Using Improved Goal Programming Method
      • 10. Conclusions
      • 11. References
    • Chapter 6 Assembly Line Balancing Multiple Criteria Decision Making with Buffers: Interactive Paired Comparison and Feasible Goal Approaches
      • Assembly Line Balancing with Buffers by Multiple Criteria Optimization (17)
      • 1. Introduction
      • 2. Problem Notations and Formulation
      • 3. Single Objective: Minimizing Total Cost of Operation
      • 4. Multiple Criteria Decision Making for Assembly Line Balancing with Buffers
      • 5. Definition of Efficiency and Generation of Efficient Alternatives
      • 6. Computational Experiments
      • 7. Ranking of Efficient Alternatives and Selection of the Best Alternative (Interactive Method)
      • 8. Conclusions
      • 9. References
    • Chapter 7 Multiple Objective Expert Systems for Assembly Line Balancing
      • An Expert System for Solving Multi-objective Assembly Line Balancing Problems (12)
      • 1. Introduction
      • 2. The Multiple Objective Assembly Line Balancing Problem and Selected Procedures
      • 3. Design of the Expert System for the Multiple Objective Assembly Line Balancing Problem
      • 4. The Operation of the Expert System for the Multiple Objective Assembly Line Balancing Problem
      • 5. A Session with the Expert System for the Multiple Objective Assembly Line Balancing Problem
      • 6. Conclusions
      • 7. References

  • Part III. Single-Layer Facility Layout and Networks

    • Chapter 8 Uni-Directional and Bi-Directional Single-Layer Network Cells: Heuristic Approach
      • Unidirectional and Bi-directional single Row Layouts by Largest Candidate Heuristics with application to Design of Tele-communication Networks (3)
      • 1. Abstract
      • 2. Introduction
      • 3. Mathematical Model and the Largest Candidate Heuristic for Unidirectional Layout
      • 4. The Largest Candidate Heuristic for Unidirectional Layout
      • 5. Some Experiments and Computational Results
      • 6. Bi-Directional Facility Layout Problem
      • 7. Conclusions
      • 8. References
    • Chapter 9 Uni-Directional and Bi-Directional Single-Layer Network Cells: Linear Programming Approach
      • Unidirectional Loop Network Layout by a Linear Programming Heuristic and Design of Tele-communications Networks (2)
      • 1. Abstract
      • 2. Introduction
      • 3. Mathematical Model and the Heuristic
      • 4. Two Other Extensions of the Heuristic (#2 and #3)
      • 5. Experiments and Computational Results with Three Heuristics
      • 6. Conclusions
      • 7. References