Intelligent Business Process Optimization for the Service Industry

The company's sustainable competitive advantage derives from its capacity to create value for customers and to adapt the operational practices to changing situations. Business processes are the heart of each company. Therefore process excellence has become a key issue. This book introduces a no...

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Bibliographic Details
Main Author: Kress, Markus (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2010
Subjects:
Online Access:Get Fullteks
DOAB: description of the publication
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001 doab_20_500_12854_50426
005 20210211
020 |a KSP/1000014466 
020 |a 9783866444546 
024 7 |a 10.5445/KSP/1000014466  |c doi 
041 0 |a English 
042 |a dc 
100 1 |a Kress, Markus  |4 auth 
245 1 0 |a Intelligent Business Process Optimization for the Service Industry 
260 |b KIT Scientific Publishing  |c 2010 
300 |a 1 electronic resource (310 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a The company's sustainable competitive advantage derives from its capacity to create value for customers and to adapt the operational practices to changing situations. Business processes are the heart of each company. Therefore process excellence has become a key issue. This book introduces a novel approach focusing on the autonomous optimization of business processes by applying sophisticated machine learning techniques such as Relational Reinforcement Learning and Particle Swarm Optimization. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc-nd/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ 
546 |a English 
653 |a Process Flexibility 
653 |a Business Process Modeling 
653 |a Relational Reinforcement Learning 
653 |a Optimization 
653 |a Particle Swarm Optimization 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/50426  |7 0  |z DOAB: description of the publication