A Multi-objective Order Decision Model with a Weighted Sum Algorithm
YANG Man
WANG Chuanxu
XU Lang
Abstract：A model is proposed taking into account the link between an inventory policy (EOQ),total car-bon emissions,and both price and environmental dependent demands. A multi-objective optimization mod-el is developed,in which both carbon emissions minimization and manufacturers profit maximization are a-chieved. In this model,carbon emissions of manufacturer is not merely linearly related with the order quantity of goods,which shows that transport and warehouse operations generate large amounts of carbon e-missions. The weighted sum algorithm is presented to solve the proposed model. The carbon tax's influence on the multi-objective decision-making is analyzed. It is shown that under different membership weights, order quantity,demand and carbon emissions have different change trends,which indicates that carbon tax will effectively reduce total carbon emissions. On the one hand,for an environmentally aware company, the government should take the policy of reducing carbon tax;on the other hand,to reduce carbon emis-sions,the government should increase carbon tax of some companies whose main motivation is profit.
Keywords：economic order quantity (EOQ)multi-objectiveweighted sumcarbon emissionscarbon tax
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 138-145 )