Exact(1)
Therefore in this research we propose a multi-period multi-objective mixed integer linear programming to design and plan a network of reverse logistics under uncertainty for recycling C&D wastes in which the objectives are represented as profit and social impact maximization and environmental effect minimization.
Similar(59)
The objective functions include the minimization of the environmental impact and the maximization of the net power output.
Companies seek profit maximization by maximizing revenue and minimizing costs.
In the literature, many objectives for optimizing many types of logistics networks are described: (i) minimization objectives such as cost, inventory, transportation time, environmental impact, financial risk and (ii) maximization objectives such as profit, customer satisfaction, and flexibility and robustness.
In the nineteenth and early twentieth century, with the impact of Calvinistic philosophy, profit maximization was viewed as a social responsibility.
Profit maximization and environmental impacts minimization are considered.
Minimization of the detrimental effects and maximization of the beneficial impacts require a quantitative understanding of the complicated interaction between flow, sediment transport and morphological evolution.
They are less concerned with efficient storytelling than with the maximization of spectacular and intellectual impact, with blowing your mind and explaining the cosmos.
In this section, we intend to show the impact of fairness on the global utility maximization by simulating different values of the α-fairness parameter.
For example, Laroque and Salanie (2014), who analyzed the impact of child-rearing support in France using utility maximization model of standard life-cycle, concluded that €150 a month has a significant impact on increasing the birth rate and an even stronger effect on children who are born third or later.
We study the impact of variable-length signatures in the aspect of throughput maximization and meeting the QoS requirements and further develop a decentralized QoS-aware channel-allocation algorithm that achieves sub-optimal performance.
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