Title
Analysis and optimization of PDF-to-EPUB in the digital publishing process.
Abstract
Purpose This paper aims to provide an optimization method of workflow for publishing houses and electronic book (e-book) studies in the field of digital publishing. Design/methodology/approach Based on the studies of publishing houses in Beijing, the present conversion workflow is illustrated using a functional modeling methodology. Then, the workflow is analyzed using 5W1H (why, who, what, where, when, how) methodology and optimized using ECRSI (eliminate, combine, rearrange, simplify and increase) principles. To validate the optimization effect, the workflow before and after optimization are generated and implemented by the ExtendSim (R) simulation software. Findings The simulation results show that under similar circumstances, both quantity and quality of the products are improved after optimization, which indicate that the optimization method is effective. Practical implications Electronic PUBlication (EPUB) has significant requirements to satisfy the needs of the mobile reading market and to earn increased profits, whereas some e-books are still preserved in a portable document format (PDF). This study results in the enhanced EPUB quality and production efficiency of the PDF-to-EPUB format conversion workflow in publishing houses. Publishing houses around the world can refer to this study to make a similar optimization when handling PDF-to-EPUB. Originality/value This research introduces the traditional industrial engineering analytical techniques to the workflow optimization of e-book conversion. Compared with the most of other methods used to optimize workflow, this method is simpler, more efficient and more suitable for e-book format conversion.
Year
DOI
Venue
2018
10.1108/EL-11-2016-0247
ELECTRONIC LIBRARY
Keywords
Field
DocType
PDF,E-book format,EPUB,ExtendSim simulation,Workflow optimization
Electronic book,Simulation software,Software engineering,Workflow optimization,Computer science,Originality,Publishing,Workflow,Multimedia,Beijing,Electronic publishing
Journal
Volume
Issue
ISSN
36.0
2.0
0264-0473
Citations 
PageRank 
References 
0
0.34
21
Authors
4
Name
Order
Citations
PageRank
Qian Pu111.71
Xiaomin Zhu2285.47
Donghua Chen344.48
Runtong Zhang413430.80