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Applying a mathematical programming approach for a green product mix decision.

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Title: Applying a mathematical programming approach for a green product mix decision.
Authors: Tsai, Wen-Hsien1 (AUTHOR) whtsai@mgt.ncu.edu.tw, Lin, Wan-Rung1 (AUTHOR), Fan, Yi-Wen2 (AUTHOR), Lee, Pei-Ling1 (AUTHOR), Lin, Sin-Jin1 (AUTHOR), Hsu, Jui-Ling3 (AUTHOR)
Source: International Journal of Production Research. Feb2012, Vol. 50 Issue 4, p1171-1184. 14p. 5 Diagrams, 2 Charts.
Subjects: Mathematical programming, Plant capacity, Green products, Manufactured products, Mathematical models, Emission control
Abstract: The aim of this paper is to develop a mathematical model for a green product mix decision that incorporates capacity expansion features by using a mathematical programming approach. In order to satisfy customer orders when market demands exceed the company's production capacity, as well as maximise total profits, companies must study the feasibility of expanding capacity with regard to the production of parts. To place efficient controls on green product costs, we present the green product mix decision model for evaluating the benefits of expanding various types of capacity. By applying this model, companies that produce green products can make optimal decisions about further processing and capacity expansion. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Applying a mathematical programming approach for a green product mix decision.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Feb2012, Vol. 50 Issue 4, p1171-1184. 14p. 5 Diagrams, 2 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+capacity%22">Plant capacity</searchLink><br /><searchLink fieldCode="DE" term="%22Green+products%22">Green products</searchLink><br /><searchLink fieldCode="DE" term="%22Manufactured+products%22">Manufactured products</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Emission+control%22">Emission control</searchLink>
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  Data: The aim of this paper is to develop a mathematical model for a green product mix decision that incorporates capacity expansion features by using a mathematical programming approach. In order to satisfy customer orders when market demands exceed the company's production capacity, as well as maximise total profits, companies must study the feasibility of expanding capacity with regard to the production of parts. To place efficient controls on green product costs, we present the green product mix decision model for evaluating the benefits of expanding various types of capacity. By applying this model, companies that produce green products can make optimal decisions about further processing and capacity expansion. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00207543.2011.555429
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      – Code: eng
        Text: English
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        PageCount: 14
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        Type: general
      – SubjectFull: Plant capacity
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      – SubjectFull: Green products
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      – SubjectFull: Manufactured products
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      – SubjectFull: Emission control
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              Text: Feb2012
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