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.

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 ch...

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Online Access: Full Text (via Springer)
Main Authors: Tan, Raymond R. (Author), Aviso, Kathleen B. (Author), Promentilla, Michael Angelo B. (Author), Yu, Krista Danielle S. (Author), Santos, Joost R. (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2019]
Series:Lecture notes in management and industrial engineering.
Subjects:

MARC

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245 1 0 |a Input-output models for sustainable industrial systems :  |b implementation using LINGO /  |c Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos. 
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490 1 |a Lecture notes in management and industrial engineering. 
504 |a Includes bibliographical references and index. 
505 0 |a Intro; Preface; Contents; Acronyms; 1 Introduction to Input-Output Models; Abstract; 1.1 Introduction; 1.2 Assumptions of the Input-Output Model; 1.3 Other Features of Input-Output Models; 1.4 Overview of the Book; References; 2 Mathematical Foundations of Input-Output Models; Abstract; 2.1 Introduction; 2.2 Formulation of the Input-Output Model; 2.3 Key Sector Analysis; 2.4 Input-Output Model with Optimization; 2.4.1 I-O Model with Resource Constraints: Primal Problem; 2.4.2 I-O Model with Resource Constraints: Dual Problem; 2.4.3 Summary: Dual and Primal Optimization Problems. 
505 8 |a 2.5 Regional Input-Output Model2.5.1 Location Quotients; 2.6 Physical Input-Output Model; 2.7 Conclusion; References; 3 Programming in LINGO; Abstract; 3.1 Introduction; 3.2 Installing the Software; 3.3 Modeling in LINGO; 3.4 The Optimization Model; 3.4.1 Example 3.1; 3.4.2 Example 3.2; 3.5 Set-Based Model; 3.6 Interpreting the Results; 3.7 Conclusions; References; 4 Input-Output Models of Industrial Complexes; Abstract; 4.1 Introduction; 4.2 Industrial Symbiosis for Industrial Complexes; 4.3 Case Study 4.1; 4.4 Conclusions; References; 5 Input-Output Models of Infrastructure Systems. 
505 8 |a Abstract5.1 Introduction; 5.2 Inoperability Input-Output Model (IIM); 5.3 Case Study 5.1; 5.3 Conclusions; References; 6 Input-Output Optimization Models for Supply Chains; Abstract; 6.1 Introduction; 6.2 Model Development; 6.3 Case Study 6.1; 6.4 Sample Case Study 6.2; 6.5 Conclusion; References; 7 Life Cycle Assessment Models; Abstract; 7.1 Introduction; 7.2 Life Cycle Assessment; 7.3 Case Study 7.1; 7.4 Case Study 7.2; 7.5 Conclusion; References; 8 Input-Output Models of Industrial Plants; Abstract; 8.1 Introduction; 8.2 Enterprise Input-Output Models; 8.3 Case Study 8.1. 
505 8 |a 8.4 Case Study 8.28.5 Case Study 8.3; 8.6 Conclusion; References; 9 Input-Output Models of Organizational Structures; Abstract; 9.1 Introduction; 9.2 Organizational Structures; 9.3 Motivating Example; 9.4 Case Study 9.1; 9.4.1 Scenario 1; 9.4.2 Scenario 2; 9.5 Conclusions; References; 10 Future Research Prospects for Input-Output Models; Abstract; 10.1 Introduction; 10.2 Model Calibration and Data Acquisition; 10.3 Hybrid Modeling Frameworks; 10.4 Input-Output Models and the Future; References; Glossary; Index. 
520 |a 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. 
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700 1 |a Aviso, Kathleen B.,  |e author.  |0 http://id.loc.gov/authorities/names/no2019114759. 
700 1 |a Promentilla, Michael Angelo B.,  |e author.  |0 http://id.loc.gov/authorities/names/no2019115231. 
700 1 |a Yu, Krista Danielle S.,  |e author.  |0 http://id.loc.gov/authorities/names/no2019114760. 
700 1 |a Santos, Joost R.,  |e author.  |0 http://id.loc.gov/authorities/names/no2019115144. 
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