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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/102845


    題名: Applying a mathematical programming approach for a green product mix decision
    作者: 蔡文賢;Tsai, Wen-Hsien;Lin, Wan-Rung;Fan, Yi-Wen;Lee, Pei-Ling;Lin, Sin-Jin;Hsu, Jui-Ling
    貢獻者: 管理學院企業管理學系
    關鍵詞: Applied sciences;Atmospheric pollution;capacity expansion;Costs;Customer satisfaction;Decision making models;Decision theory. Utility theory;emission cost;Exact sciences and technology;Feasibility;Firm modelling;green product mix decision;Green products;Inventory control, production control. Distribution;Marketing;Markets;Mathematical models;Mathematical programming;Operational research and scientific management;Operational research. Management science;Optimization;Pollution;Pollution sources. Measurement results;Product mixes;Production capacity;Studies
    日期: 2012-02-15
    上傳時間: 2026-04-23 11:17:57 (UTC+8)
    出版者: Taylor and Francis Ltd.;Abingdon: Taylor & Francis Group
    摘要: 摘要: 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.
    出版者: Abingdon: Taylor & Francis Group
    出版日期: 2012-02-15
    出處: International journal of production research, 2012-02, Vol.50 (4), p.1171-1184
    資源來源: EBSCOhost Business Source Premier
    版權: Copyright Taylor & Francis Group, LLC 2012
    版權: 2015 INIST-CNRS
    版權: Copyright Taylor & Francis Group 2012
    識別號: ISSN: 0020-7543
    識別號: EISSN: 1366-588X
    識別號: DOI: 10.1080/00207543.2011.555429
    識別號: CODEN: IJPRB8
    顯示於類別:[企業管理學系] 期刊論文

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