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100 1 _aTan, Raymond R.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937655
245 1 0 _aInput-Output Models for Sustainable Industrial Systems
_h[electronic resource] :
_bImplementation Using LINGO /
_cby Raymond R. Tan, Kathleen B. Aviso, Michael Angelo B. Promentilla, Krista Danielle S. Yu, Joost R. Santos.
250 _a1st ed. 2019.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2019.
300 _aXI, 151 p. 37 illus., 18 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Management and Industrial Engineering,
_x2198-0780
505 0 _aIntroduction 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.
520 _aThis 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.
650 0 _aIndustrial Management.
_95847
650 0 _aChemistry, Technical.
_914638
650 0 _aOperations research.
_912218
650 0 _aManagement science.
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650 1 4 _aIndustrial Management.
_95847
650 2 4 _aIndustrial Chemistry.
_914640
650 2 4 _aOperations Research, Management Science .
_931720
700 1 _aAviso, Kathleen B.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937656
700 1 _aPromentilla, Michael Angelo B.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937657
700 1 _aYu, Krista Danielle S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_937658
700 1 _aSantos, Joost R.
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_4aut
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710 2 _aSpringerLink (Online service)
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830 0 _aLecture Notes in Management and Industrial Engineering,
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_937661
856 4 0 _uhttps://doi.org/10.1007/978-981-13-1873-3
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