Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan's container shipping company
Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan's container shipping company
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DOI：
10.1016/j.tra.2016.10.003
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发表时间：
2016-12-01
影响因子：
6.4
通讯作者：
Chen, Li-Hsueh
中科院分区：
文献类型：
--
作者：
Yu, Ming-Miin;Chen, Li-Hsueh
本文提出了一种集中式网络数据包络分析模型，该模型将集中式数据包络分析模型与网络数据包络分析相结合，实现了资源在子单元之间的分配。在本文提出的模型中，还考虑了不良产出与理想产出共同生产，不良产出的减少与能量投入的减少相关联，一些投入专用于特定子单元，而一些投入在子单元之间共享的情况。为了全面探讨这一问题，本文讨论了两个案例。一个案例探讨了第一个子单元过程共享公共输入的情况，而另一个案例探讨了两个子单元过程共享公共输入的情况。以台湾某集装箱航运公司经营的14条亚洲航线为例，对该模型进行了实证分析。为了避免组织阻力，本文分别论证了小调整政策和大调整政策。小调整策略是在保持原有投入资源水平的情况下，在航线间转移投入，而大调整策略是减少投入资源总量。研究结果为中央决策者如何在子单元之间重新分配资源提供了有价值的信息。(C) 2016 Elsevier Ltd.版权所有。
This paper proposes a centralized network data envelopment analysis model that combines the centralized data envelopment analysis model and network data envelopment analysis to allocate resources among sub-units. In the proposed model, this paper also considers the situations in which undesirable outputs are jointly produced with desirable outputs, the reduction of undesirable outputs is associated with the reduction of energy inputs, and some inputs are dedicated to the specific sub-unit while some inputs are shared among sub-units. To comprehensively investigate this issue, two cases are discussed. One case explores the situation in which common inputs are shared among the first process of sub-units, while the other case explores the situation in which common inputs are also shared among two processes of sub-units. The proposed model is illustrated in an empirical example of 14 Asian shipping routes operated by a Taiwanese container shipping company. In order to avoid organizational resistance, minor and major adjustment policies are demonstrated. The minor adjustment policy transfers inputs among routes but maintains the original levels of input resources, whereas the major adjustment policy reduces the total amount of input resources. The results provide valuable information for the centralized decision-maker on how to reallocate resources among the sub-units. (C) 2016 Elsevier Ltd. All rights reserved.