Study on Green Logistics Initiatives through Text Mining

2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI) Pub Date : 2018-11-01 DOI:10.1109/TAAI.2018.00033

Fuyume Sai

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Abstract

Different with the traditional, green logistics unifies sustainable economic and social development. In addition, due to the nature of cross-functional logistics activities, it brings more difficulty to green development in the logistics market. In this paper, 52 award-gained green logistics initiatives/practices implemented during the period of 2006-2017 in Japan are studied. For doing so, text mining technique is used to explore the co-occurring links within words and to present the collaborative green initiatives. In contrast to most research on sustainable logistics directed towards manufacturing companies in the product-focused supply chain management, this study is positioned in the dual perspective of logistics service providers and shippers to demonstrate their combined effort of achieving sustainability goals. The results of the analysis showed that text mining technique is useful for summarizing and presenting the data in this research area, however, how to deal with the data more means-end logically remains in the future for revealing more indirect associations between the words.

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基于文本挖掘的绿色物流倡议研究

与传统物流不同，绿色物流是经济社会可持续发展的统一。此外，由于物流活动的跨职能性质，给物流市场的绿色发展带来了更大的困难。本文研究了2006-2017年期间在日本实施的52项获奖的绿色物流举措/实践。为此，使用文本挖掘技术来探索词内的共发生链接，并呈现协同绿色倡议。与大多数针对以产品为中心的供应链管理中的制造公司的可持续物流研究相反，本研究定位于物流服务提供商和托运人的双重视角，以展示他们实现可持续发展目标的共同努力。分析结果表明，文本挖掘技术对于总结和呈现本研究领域的数据是有用的，然而，如何在逻辑上更多地处理数据，以揭示更多的词之间的间接关联，仍有待于未来的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI)

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