Applying a mathematical programming approach for a green product mix decision

NCUIR > School of Management at National Central University > Department of Business Administration > journal & Dissertation > Item 987654321/102845

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/102845

Title:	Applying a mathematical programming approach for a green product mix decision
Authors:	蔡文賢;Tsai, Wen-Hsien;Lin, Wan-Rung;Fan, Yi-Wen;Lee, Pei-Ling;Lin, Sin-Jin;Hsu, Jui-Ling
Contributors:	管理學院企業管理學系
Keywords:	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
Date:	2012-02-15
Issue Date:	2026-04-23 11:17:57 (UTC+8)
Publisher:	Taylor and Francis Ltd.;Abingdon: Taylor & Francis Group
Abstract:	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
Appears in Collections:	[Department of Business Administration ] journal & Dissertation

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