论文标题
考虑不连续运输成本功能和不同污染来源的可持续库存模型
A sustainable inventory model considering a discontinuous transportation cost function and different sources of pollution
论文作者
论文摘要
经济排序数量（EOQ）是第一个直到当今仍在广泛研究的库存模型。在整个时间内都进行了一些考虑，例如背订单和不完美的质量。最近，还将可持续性问题引入了库存模型的文献，该文献指出了三个底线的重要性：环境，社会和经济标准。从这个意义上讲，这项研究工作的目的是考虑不连续的运输成本功能和新的碳排放功能，以在决策过程中包括不同的污染来源来开发一种新的可持续库存模型，并在决策过程中包括不同的污染来源，这些污染源未考虑使用库存文献中的传统方法。所提出的库存模型允许为批量大小获得连续和离散的解决方案，并构成一个易于使用的过程，可以简单地实现。
The economic ordering quantity (EOQ) is the first inventory model which has still being studying extensively till nowadays. Several considerations have been incorporated throughout the time such as backorders and imperfect quality. More recently, sustainability issues have also been introduced to the literature of inventory models remarking the increasing importance of the three bottom line: environment, social and economic criteria. In that sense, the aim of this research work is to develop a new sustainable inventory model considering a discontinuous transportation cost function and a new carbon emissions function to include different sources of pollution in the decision making process that are not taken into account using the traditional approaches in the inventory literature. The proposed inventory model permits to obtain a continuous and a discrete solution for the lot size and constitutes an easy-to-use process that can be implemented in a simple manner.
