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Input-Output Models for Sustainable Industrial Systems

Implementation Using LINGO

  • Book
  • © 2019

Overview

Authors:
  1. Raymond R. Tan

    1. Chemical Engineering Department, De La Salle University, Manila, Philippines

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  2. Kathleen B. Aviso

    1. Chemical Engineering Department, De La Salle University, Manila, Philippines

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  3. Michael Angelo B. Promentilla

    1. Chemical Engineering Department, De La Salle University, Manila, Philippines

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  4. Krista Danielle S. Yu

    1. School of Economics, De La Salle University, Manila, Philippines

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  5. Joost R. Santos

    1. Department of Engineering Management and Systems, George Washington University, Washington, USA

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  • Covers a wide range of applications of input–output models beyond traditional problems in economic systems
  • Discusses variants of the basic input–output model, especially with respect to extensions for considering environmental flows and system optimization
  • Provides extensive material on implementation of input–output models using LINGO software

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction to Input–Output Models

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 1-8

  3. Mathematical Foundations of Input–Output Models

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 9-28

  4. Programming in LINGO

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 29-46

  5. Input–Output Models of Industrial Complexes

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 47-62

  6. Input–Output Models of Infrastructure Systems

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 63-74

  7. Input–Output Optimization Models for Supply Chains

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 75-89

  8. Life Cycle Assessment Models

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 91-106

  9. Input–Output Models of Industrial Plants

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 107-123

  10. Input–Output Models of Organizational Structures

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 125-138

  11. Future Research Prospects for Input–Output Models

    • Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 139-143

  12. Back Matter

    Pages 145-151
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Keywords

About this book

This book addresses the specialized topic of input–output models for sustainable industrial systems. While these models are well-established tools for economic analysis, their underlying mathematical structure is also applicable to the analysis and optimization of a wide range of systems that are characterized by linear interdependencies among their components. This means that input–output models can be used for diverse networks, such as processes within industrial plants, industrial plants in a supply chain, or departmental units within an organization. The models can also be readily extended to interactions between man-made systems and the environment, e.g. flows of natural resources and/or pollutants. Furthermore, model variants with excess degrees of freedom can be formulated to allow optimization and decision-making to be integrated within the framework. This book examines how input–output models can be applied to sustainable industrial systems. Each major variant is discussed separately in a dedicated chapter, and representative case studies and supporting LINGO code are also included.

Authors and Affiliations

  • Chemical Engineering Department, De La Salle University, Manila, Philippines

    Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla

  • School of Economics, De La Salle University, Manila, Philippines

    Krista Danielle S. Yu

  • Department of Engineering Management and Systems, George Washington University, Washington, USA

    Joost R. Santos

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