基於節約能源、永續發展以及溫室氣體減量等原因，衍生二氧化碳排放量之減排計劃及碳權交易等議題，未來國內可能推動能源價格合理化，反映燃料成本，將外部成本內生化，以及訂立溫室氣體排放限量管制與交易措施。當其超出政府法規限制標準，應設法取得足以抵換之排放量，否則，將依法受到懲罰。這將促使耗用能源來生產的製造商，在溫室氣體排放量限額的條件限制下，必須將生產成本納入環境成本考量。
本研究引入環境成本概念，將經常性生產規劃決策問題納入環境限制因素，為了更符合實際狀況，考量碳權價格現實可能的變動性及不確定性，納入隨機碳權價格參數，將生產規劃決策問題與環境要素限制結合為二階段隨機規劃綠色生產規劃問題，建構隨機碳權價格下之生產決策模式，並以鋼鐵公司個案資料，使用代數建模軟體GAMS 23.2進行求解，求得最適生產配置，在追求經濟利益同時，符合環境保護限制，對於環境議題下的生產規劃問題，作出適當的決策，取得最大利潤，且在利用及轉讓排放額度間取得最佳解。最後，以EVPI及VSS指標衡量此隨機規劃決策模式之價值，並針對模式中參數進行敏感度分析，探討參數變動對於最適生產決策之影響。

The issues on global CO2 emission reduction and emission trading related are derived from energy conservation and greenhouse effect. The government will probably impetus many policies, including the rationalization of the energy price, the reflection of the cost of fuel, internalized external costs, controlling the greenhouse gas emission and emission trading. When it exceeds the threshold value which is set by the law, manufacturers should take any measure to make it equal to the emission limitation. Otherwise, it will be punished according to the law. This will urge the manufacturers to take the environmental cost as part of production costs.
This research introduces the concept of the environmental costs and includes environmental consideration into the regular production plans. In order to meet with practical environment, we will consider about the probable variation and uncertainty of the EUAs price with the random parameters, and combine the problems of the production planning and the factors of environmental consideration into a two-stage stochastic programming model for a green production planning with stochastic EUAs. Besides, we use the steel company as an example, with the use of the algebraic modeling languages software GAMS 23.2 to find the optimal solution. While seeking the economic profit to conform the restriction of environmental consideration, this research is to make the suitable plan and get the maximal profit from the production planning under the environment-friendly issues, and get the most out of the EUAs. In the final submission, we will evaluate the value of stochastic programming decision model with EVPI and VSS indexes, and make analyze the sensitivity on parameters to discuss their influence on optimal production plans.

European Climate Exchange http://www.ecx.eu/
World Resource Institute http://www.wri.org/
台灣碳排放交易推廣協會 http://www.teta.org.tw/
產業溫室氣體資訊網 http://iggic.estc.tw
經濟部工業局 http://www.moeaidb.gov.tw/
經濟部能源局 http://www.moeaboe.gov.tw/
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