通过衡量逆向供应链的绩效来改善商业智能中的绿色计算

Maulida Boru Butar Butar, D. Sanders
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引用次数: 3

摘要

绿色计算在商业智能领域受到越来越多的关注。本文专门研究了逆向供应链中绩效的度量问题。这是因为在一般直接供应链末端的产品和技术的价值不断增加,以及新的绿色立法的影响。与正向供应链不同,逆向供应链的设计策略是相对未开发和不发达的。同时,随着商业智能系统对数据需求的增加,以及供应链成员之间的理解、协作和集成的增加,衡量供应链绩效变得越来越重要。它还可以帮助公司瞄准最有利可图的细分市场或确定合适的服务定义。本文描述了一个关于测量性能的已知理论的综合,并评估了目前的技术状况。确定优势和差距。一些初步结果提出了衡量供应绩效在逆向供应链(使用稳健的方法),并概述了未来的研究需求。
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Improving Green Computing in Business Intelligence by Measuring Performance of Reverse Supply Chains
Increasing attention has been given to green computing in Business Intelligence. This paper specifically considers the measurement of performance in the reverse supply chain. That is because of the increasing value of products and technology at the end of general direct supply chains as well as the impact of new green legislation. Unlike forward supply chains, design strategies for reverse supply chains are relatively unexplored and underdeveloped. Meanwhile measuring supply chain performance is becoming important as the need for data in business intelligence systems increases and the understanding, collaboration and integration increases between supply chain members. It also helps companies to target the most profitable market segments or identify a suitable service definition. This paper describes a synthesis of known theory concerning measuring performance and assesses the state of the art. Strengths and gaps are identified. Some initial results are presented for measuring supply performance in reverse supply chains (using robust methods) and are outlined future research needs.
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