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Optimizing, Innovating, and Capitalizing on Information Systems for Operations

Book Description

Adapting the development of information systems for operations management is essential for the effectiveness of an organization’s business strategy. Optimizing, Innovating, and Capitalizing on Information Systems for Operations presents research on the applications of information systems and its influence on business and operations management. Highlighting case studies, frameworks and methodologies, this book aims to be useful for practitioners and academics in the fields of decision, management, and social sciences.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Senior Reviewers
    2. List of Reviewers
  5. Preface
    1. SECTION 1: OPTIMIZATION METHODOLOGIES
    2. SECTION 2: BUSINESS ANALYTICS
    3. SECTION 3: LOGISTICS OPTIMIZATION
    4. SECTION 4: INVENTORY CONTROL
  6. Section 1: Optimization Methodologies
    1. Chapter 1: Local Perturbation Analysis of Linear Programming with Functional Relation Among Parameters
      1. ABSTRACT
      2. INTRODUCTION
      3. THE LITERATURE REVIEW
      4. SENSITIVITY ANALYSIS WITH FUNCTIONAL RELATION
      5. NUMERICAL EXAMPLES
      6. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    2. Chapter 2: Taylor Kriging Metamodeling for Stochastic Simulation Interpolation
      1. ABSTRACT
      2. INTRODUCTION
      3. BASIC KRIGING PRINCIPLES
      4. TAYLOR KRIGING
      5. TAYLOR KRIGING FOR STOCHASTIC SIMULATION INTERPOLATION
      6. TEST FUNCTIONS AND PROCEDURES
      7. RESULTS AND ANALYSIS
      8. INVESTIGATION ON REPLICATION AND VARIANCE
      9. CONCLUSION
    3. Chapter 3: Bounded Primal Simplex Algorithm for Bounded Linear Programming with Fuzzy Cost Coefficients
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARIES
      4. BOUNDED LINEAR PROGRAMMING WITH FUZZY NUMBERS
      5. NUMERICAL EXAMPLE
      6. APPLICATION IN NETWORK OPTIMIZATION
      7. CONCLUSIONS
    4. Chapter 4: Sensitivity Analysis on Linear Programming Problems with Trapezoidal Fuzzy Variables
      1. ABSTRACT
      2. INTRODUCTION
      3. PRELIMINARIES
      4. LINEAR PROGRAMMING PROBLEM WITH TRAPEZOIDAL FUZZY VARIABLES
      5. FUZZY SIMPLEX ALGORITHM
      6. DUAL SIMPLEX METHOD
      7. SENTIVITY ANALYSIS ON FVLP PROBLEM
      8. CONCLUSION
    5. Chapter 5: Optimizing Series Repairable Systems with Imperfect Repair
      1. ABSTRACT
      2. INTRODUCTION
      3. THE OPTIMIZATION MODEL
      4. MODEL I. REPAIR AND REPLACEMENT
      5. MODEL II: PROBABILISTIC REPAIR AND REPLACEMENT
      6. EXAMPLE
      7. CONCLUSION AND FUTURE WORK
    6. Chapter 6: Data Envelopment Analysis with Fuzzy Parameters
      1. ABSTRACT
      2. INTRODUCTION
      3. FUZZY DEA LITERATURE REVIEW
      4. THE FUZZY NUMBER RANKINGS
      5. THE FUZZY DEA MODEL
      6. THE INTERACTIVE FUZZY DEA FRAMEWORK
      7. THE NUMERICAL EXAMPLE
      8. CONCLUSIONS AND FUTURE RESEARCH DIRECTIONS
  7. Section 2: Business Analytics
    1. Chapter 7: Information in Fleeting Opportunities
      1. ABSTRACT
      2. INTRODUCTION AND LITERATURE REVIEW
      3. MODEL DESCRIPTION
      4. MAIN RESULTS
      5. LONG-RUN PROBLEM
      6. CONCLUSION AND FUTURE RESEARCH
      7. APPENDIX 1:
      8. APPENDIX 2:
    2. Chapter 8: Sequential Test for Arbitrary Ratio of Mean Times Between Failures
      1. ABSTRACT
      2. INTRODUCTION
      3. DESCRIPTION OF TEST AND CALCULATION OF ITS CHARACTERISTICS
      4. SEARCH METHODOLOGY FOR OPTIMAL TEST BOUNDARIES
      5. SEARCH RESULTS FOR OTA AND THEIR CURVE FITTING
      6. ESTIMATES FOR * AND *. ACCURACY ASSESSMENT
      7. GROUP TESTS
      8. CONCLUSION
      9. APPENDIX
    3. Chapter 9: Portfolio Selection Models and Their Discrimination
      1. ABSTRACT
      2. INTRODUCTION
      3. MARKOWITZ’S PORTFOLIO SELECTION MODEL WITH HISTORICAL AVERAGE RETURN
      4. MARKOWITZ’S PORTFOLIO SELECTION MODEL WITH FORECASTED STOCK RETURNS (ARMA-GARCH MODELS)
      5. FUZZY PROBABILITY PORTFOLIO SELECTION MODEL
      6. POSSIBILITY DISTRIBUTION PORTFOLIO SELECTION MODEL
      7. INTERVAL COEFFICIENT PORTFOLIO SELECTION MODEL
      8. INTERVAL PORTFOLIO SELECTION MODEL BASED ON REGRET FUNCTION
      9. DATA ENVELOPMENT ANALYSIS FOR MODEL DISCRIMINATION
      10. CONCLUSION
      11. APPENDIX 1. (DATA ON SECURITY PRICES & MARKET INDEX)
      12. APPENDIX 2. (COMBINED ARMA/GARCH MODEL)
      13. APPENDIX 3. (SN RATIO [SNR] & MAVERICK INDEX)
    4. Chapter 10: Predicting Donations from a Cohort Group of Donors to Charities
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. A CASE STUDY
      5. FORECASTING MODELS
      6. DISCUSSIONS
      7. CONCLUSION
      8. APPENDIX
    5. Chapter 11: Measuring the Effect of the Rules and Regulations on Global Malmquist Index
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CLASSIC AND GLOBAL FORMS OF MI
      4. EXPANDED GLOBAL MALMQUIST INDEX
      5. ILLUSTRATIVE EXAMPLE
      6. CONCLUSION
    6. Chapter 12: Equal Pricing Strategies in a Dual Channel Supply Chain
      1. ABSTRACT
      2. INTRODUCTION
      3. MODEL CONSTRUCTION
      4. NUMERICAL ANALYSIS
      5. CONCLUSION
      6. APPENDIX A
  8. Section 3: Logistics Optimization
    1. Chapter 13: Multi Depot Probabilistic Vehicle Routing Problems with a Time Window
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. MODEL DEVELOPMENT
      5. ANALYTICAL RESULTS
      6. CONCLUSION
    2. Chapter 14: A Heuristic Algorithm for the Inner-City Multi-Drop
      1. ABSTRACT
      2. INTRODUCTION
      3. PROBLEM STATEMENT AND RELATED WORK
      4. A BASIC TREE-BASED WALL-BUILDING HEURISTIC
      5. AN IMPROVED HEURISTIC
      6. COMPUTATIONAL EXPERIMENTS
      7. CONCLUSION
    3. Chapter 15: A Stochastic Truck Routing Model for Agricultural Freight
      1. ABSTRACT
      2. INTRODUCTION AND BACKGROUND
      3. TRUCK AND LOAD ASSIGNMENT MODELS
      4. ESTIMATING GRAIN TRANSPORTATION FLOWS IN NORTH DAKOTA
      5. STOCHASTIC ASSIGNMENT
      6. ILLUSTRATION
      7. CONCLUSIONS AND FURTHER RESEARCH
      8. APPENDIX
    4. Chapter 16: Highway Alignment Optimization Using Cost-Benefit Analysis Under User Equilibrium
      1. ABSTRACT
      2. INTRODUCTION
      3. HIGHWAY ALIGNMENT OPTIMIZATION
      4. COST-BENEFIT ANALYSIS
      5. ASSIGNMENT OF TRAFFIC
      6. PROBLEM FORMULATION
      7. GENETIC ALGORITHM
      8. CASE STUDY
      9. RESULT
      10. DISCUSSION
    5. Chapter 17: Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods
      1. ABSTRACT
      2. INTRODUCTION
      3. SHORTCOMINGS OF THE EXISTING METHODS
      4. PRELIMINARIES
      5. FUZZY TRANSPORTATION PROBLEM
      6. PROPOSED METHODS TO FIND THE FUZZY OPTIMAL SOLUTION OF BALANCED FUZZY TRANSPORTATION PROBLEMS
      7. NUMERICAL EXAMPLE
      8. RESULTS AND DISCUSSION
      9. CONCLUSION
  9. Section 4: Inventory Control
    1. Chapter 18: Comments on Two Models for Operating Two-Warehouse Inventory Systems with Deteriorating Items and Inflationary Effects
      1. ABSTRACT
      2. INTRODUCTION
      3. ANALYSIS OF THE EXISTING MODELS
      4. FORMULATON OF THE MODIFIED MODELS
      5. SOLUTIONS TO THE INVENTORY MODELS
      6. COMPARISON BETWEEN THE MODELS
      7. NUMERICAL EXAMPLES
      8. CONCLUSION
      9. APPENDIX A
      10. APPENDIX B
      11. APPENDIX C
      12. APPENDIX D
      13. APPENDIX E
    2. Chapter 19: An Integrated Vendor-Buyer Model with Uncertain Lead Time, Life Time under Inflation and Variable Holding Cost
      1. ABSTRACT
      2. INTRODUCTION
      3. MATHEMATICAL MODELING
      4. NUMERICAL ILLUSTRATION
      5. SENSTIVITY ANALYSIS
      6. CONCLUSION
      7. APPENDIX
    3. Chapter 20: EOQ Model with Time Dependent Demand Rate and Time Dependent Holding Cost Function
      1. ABSTRACT
      2. INTRODUCTION
      3. MODEL DEVELOPMENT
      4. NUMERICAL EXAMPLES
      5. CONCLUSION AND FUTURE RESEARCH
      6. APPENDIX
  10. Compilation of References
  11. About the Contributors