Applying a mathematical programming approach for a green product mix decision

Wen Hsien Tsai, Wan Rung Lin, Yi Wen Fan, Pei Ling Lee, Sin Jin Lin, Jui Ling Hsu

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

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.

Original languageEnglish
Pages (from-to)1171-1184
Number of pages14
JournalInternational Journal of Production Research
Volume50
Issue number4
DOIs
StatePublished - 15 Feb 2012

Keywords

  • capacity expansion
  • CO emission cost
  • green product mix decision
  • mathematical programming

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