Big Data, cost and emission reporting in process industry

被引：1

作者：

Hamalainen, Esa ^{[1
]}

Twrdy, Elen ^{[2
]}

机构：

[1] Univ Turku, Brahea Ctr, Turku, Finland

[2] Univ Ljubljana, Fac Maritime Studies & Transport, Ljubljana, Slovenia

来源：

2017 5TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW) 2017 | 2017年

关键词：

big data; emissions; costs; process; reporting; SUPPLY CHAIN MANAGEMENT; CHALLENGES; SUSTAINABILITY; PERFORMANCE;

D O I：

10.1109/FiCloudW.2017.69

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on examining how to develop and combine cost management, sustainability and emission reporting systems by utilizing Big Data. We provide evidence that shows how Big Data brings company-wide business benefits if data queries and interfaces are built to be interactive, intuitive and user friendly. Proper algorithm design and programming is a key factor in order to make the most of the Big Data. This paper presents ideas on how to refine raw data into valuable information that can serve many types of end users, decision makers and even external auditors. In addition, examples of the methods and reports will be provided.

引用

页码：14 / 19

页数：6

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