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|a 9789811318733
|9 978-981-13-1873-3
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|a 10.1007/978-981-13-1873-3
|2 doi
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|a 658.5
|2 23
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|a Tan, Raymond R.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Input-Output Models for Sustainable Industrial Systems
|h [electronic resource] :
|b Implementation Using LINGO /
|c by Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos.
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|a 1st ed. 2019.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2019.
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|a XI, 151 p. 37 illus., 18 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Management and Industrial Engineering,
|x 2198-0772
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|a Introduction to input-output models -- Mathematical foundations of input-output models -- Programming in LINGO -- Input-output models of industrial complexes -- Input-output models of infrastructure systems -- Input-output models of supply chains -- Input-output models for life cycle assessment -- Enterprise input-output models -- Input-output models of organizational structures -- Conclusion.
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|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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|a Engineering economics.
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|a Engineering economy.
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|a Chemical engineering.
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|a Operations research.
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|a Management science.
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|a Engineering Economics, Organization, Logistics, Marketing.
|0 http://scigraph.springernature.com/things/product-market-codes/T22016
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|a Industrial Chemistry/Chemical Engineering.
|0 http://scigraph.springernature.com/things/product-market-codes/C27000
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|a Operations Research, Management Science.
|0 http://scigraph.springernature.com/things/product-market-codes/M26024
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|a Aviso, Kathleen B.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Promentilla, Michael Angelo B.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Yu, Krista Danielle S.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Santos, Joost R.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9789811318726
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|i Printed edition:
|z 9789811318740
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|i Printed edition:
|z 9789811346965
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|a Lecture Notes in Management and Industrial Engineering,
|x 2198-0772
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|u https://doi.org/10.1007/978-981-13-1873-3
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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