Titlebook: Input-Output Models for Sustainable Industrial Systems; Implementation Using Raymond R. Tan,Kathleen B. Aviso,Joost R. Santos Book 2019 Spr

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

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Input-Output Models for Sustainable Industrial SystemsImplementation Using

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,Mathematical Foundations of Input–Output Models,ts, which provide an ideal foundation to understand the LINGO codes in subsequent chapters. Then, extensions involving mathematical programming, regional input–output models, and physical input–output models are considered; these variants are also illustrated with examples.

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Book 2019 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 processe

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,Input–Output Models of Industrial Complexes,and are known as eco-industrial parks. This chapter discusses the use of input–output models for the analysis and optimization of such industrial complexes under various conditions. An illustrative example is discussed here and is supported by LINGO model formulations.

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,Input–Output Models of Infrastructure Systems,t systems, which can propagate through the network as inoperability. Inoperability input–output models are extensions of input–output models that can represent the flow of inoperability through such critical infrastructure systems. Such models are discussed in this chapter, supported by illustrative examples and corresponding LINGO code.

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,Input–Output Optimization Models for Supply Chains,e levels of production during a transient crisis is discussed. A simple didactic example is solved first, followed by a more complex case study involving climate-induced disruption. Both examples are accompanied by LINGO codes.

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,Input–Output Models of Industrial Plants,rates how an input–output model can be used to identify process bottlenecks in existing plants. A third example discusses a mixed-integer linear programming (MILP) formulation of an input–output model to optimize state operations when the system is subjected to a disruptive event. LINGO code is provided for all examples.

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,Input–Output Models of Organizational Structures,ured in terms of time (e.g., person-hours), in contrast to the monetary and physical units used in traditional input–output models. This chapter discusses organizational input–output models based on this concept. A case study is solved under different scenarios to illustrate the framework, and the corresponding LINGO model formulations are given.

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,Future Research Prospects for Input–Output Models,ing input–output analysis with other optimization techniques, such as P-graph and pinch analysis, is also discussed. Finally, this chapter provides reflections on the possible application of extended input–output models to contemporary issues such as climate change or emerging sustainability concepts such as the circular economy.