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首页> 外文期刊>International Journal of Production Research >Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach
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Selection of a reverse logistics project for end-of-life computers: ANP and goal programing approach

机译：选择报废计算机的逆向物流项目：ANP和目标编程方法

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摘要

Considering the key issues involved in environmental-friendly disposal of end-of-life (EOL) computer, its supply chain should be designed to incorporate the key dimensions of reverse logistics. An important managerial decision-making activity undertaken by reverse logistics managers is selection of feasible projects that could be completed according to the resources available. The reverse logistics project selection is a multi-criteria decision-making (MCDM) problem. While the experience and expertise of reverse logistics managers could work out for small sized projects, it might not be fruitful for multiple-criteria large sized reverse logistics in arriving at a proper decision related to selection of projects. The reverse logistics projects involve interdependencies among the criteria and the candidate reverse logistics projects. In this paper, a combination of analytical network process (ANP) and zero one goal programing (ZOGP) is used as solution methodologies to deal with the above problem. The ANP is used to determine the degree of interdependence among the criteria and candidate reverse logistics projects, while ZOGP permits the consideration of resource limitations and other constraints in arriving at the solution. The hybrid approach using ANP and ZOGP provides a realistic representation of the problem related to the selection of feasible reverse logistics for EOL computers.
机译：考虑到以环保方式处理报废计算机（EOL）涉及的关键问题，应设计其供应链以纳入反向物流的关键维度。逆向物流经理进行的一项重要的管理决策活动是选择可行的项目，这些项目可以根据可用的资源来完成。逆向物流项目的选择是一个多标准决策（MCDM）问题。尽管逆向物流管理人员的经验和专业知识可以解决小型项目，但对于多准则大型逆向物流而言，在做出与项目选择有关的适当决定时可能没有收获。反向物流项目涉及标准与候选反向物流项目之间的相互依赖性。本文将分析网络过程（ANP）和零一目标编程（ZOGP）结合起来作为解决上述问题的方法。 ANP用于确定标准和候选逆向物流项目之间的相互依赖程度，而ZOGP允许在解决方案中考虑资源限制和其他约束。使用ANP和ZOGP的混合方法提供了与为EOL计算机选择可行的逆向物流有关的问题的现实表示。

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