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Output details

11 - Computer Science and Informatics

University of Edinburgh

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Output 311 of 401 in the submission

Article title

SCOlog: A logic-based approach to analysing supply chain operation dynamics

Type

D - Journal article

DOI

10.1016/j.eswa.2013.07.008

Title of journal

Expert Systems with Applications

Article number

Volume number

Issue number

First page of article

ISSN of journal

0957-4174

Year of publication

2013

URL

http://www.sciencedirect.com/science/article/pii/S0957417413004855

Number of additional authors

Additional information

<22> Originality: This paper makes novel contributions in the use of a logic-based approach to analysing supply chain operation dynamics.

Significance: The paper has raised interest in the supply chain management community and led to Chen-Burger being invited to give a keynote presentation at the LOGICAL project kick-off meeting "Intelligent and High-Performance Computing in Logistics" in Wroclaw, Poland, 5-6 March, 2012.

Rigour: Statistical hypothesis testing was used to evaluate the research claim of improvements brought by explanation support. A one-tailed two sample independent t-test was performed in order to determine whether to accept or reject the null hypothesis.

Interdisciplinary

Cross-referral requested

Research group

A - Centre for Intelligent Systems & their Applications

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract