Directional Marginal Profit Maximization estimation of Supply Chains By Waste Energy Reduction: A Case Study of the Power Industry

The economic growth and excessive fossil energy consumption provide direct effects on environmental destruction and greenhouse gases increment. The existing an appropriate pattern for economic performance increase as well as pollution emissions abatement is basic issue in industry activities. Marginal productivity (MP) estimation is utilized to plan maximum output levels and allocate resources to address fluctuating demand for supply fuel in the power plant sector as well as adjust transferring and dispatching in the transmission and distribution networks. The purpose of this study is to develop appropriate directions simultaneously raise performance productivity and descent harmful pollutants emissions in energy divisions and transmission and distribution lines. The proposed model for estimating the directional marginal productivity in the supply chain enables to find the optimal direction of efficient divisions on the frontier so that allocation of resources create marginal profit increase and the pollution emissions abatement simultaneously. The results suggested that the gas field division of one of the supply chains had fundamental capacities to energy production increment and flare gas decrement Additionally, the distribution lines of supply chains ۰.۸۰% provided wasted energy reduction by adding one extra unit to the line's capacity in the determined direction. Especially, there were supply chains have investment opportunities to acceptable abatement of power loses. Indeed, the results of proposed approach indicates the desirable and undesirable output changes in predetermined directions based on the increase of an extra unit of inputs. This not only enables divisions to respond to fluctuations in demand as produced more energy in critical situations like climate change but also decreases harmful emissions as wasted energy in supply chain divisions.

کلیدواژه ها:

Marginal Profit Maximization ، Wasted Energy ، Predetermined Direction ، Pollution Emissions ، Environmental Pollution