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Input-Output Models for Sustainable Industrial Systems

Implementation Using LINGO

  • Raymond R. Tan
  • Kathleen B. Aviso
  • Michael Angelo B. Promentilla
  • Krista Danielle S. Yu
  • Joost R. Santos

Table of contents

  1. Front Matter
    Pages i-xi
  2. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 1-8
  3. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 9-28
  4. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 29-46
  5. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 47-62
  6. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 63-74
  7. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 75-89
  8. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 91-106
  9. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 107-123
  10. Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos
    Pages 125-138
  11. 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

About this book

Introduction

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.

Keywords

Supply Chain Model Leontief System Sustainable Industrial System Risk Analysis Risk Management Life Cycle Assessment Optimization Models LINGO Programming Infrastructure System Input-Output Analysis

Authors and affiliations

  • Raymond R. Tan
    • 1
  • Kathleen B. Aviso
    • 2
  • Michael Angelo B. Promentilla
    • 3
  • Krista Danielle S. Yu
    • 4
  • Joost R. Santos
    • 5
  1. 1.Chemical Engineering DepartmentDe La Salle UniversityManilaPhilippines
  2. 2.Chemical Engineering DepartmentDe La Salle UniversityManilaPhilippines
  3. 3.Chemical Engineering DepartmentDe La Salle UniversityManilaPhilippines
  4. 4.School of EconomicsDe La Salle UniversityManilaPhilippines
  5. 5.Department of Engineering Management and SystemsGeorge Washington UniversityWashingtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-1873-3
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-13-1872-6
  • Online ISBN 978-981-13-1873-3
  • Series Print ISSN 2198-0772
  • Series Online ISSN 2198-0780
  • Buy this book on publisher's site