Intelligent Business Process Optimization for the Service Industry
| dc.contributor.author | Kress, Markus | * |
| dc.date.accessioned | 2021-02-11T16:26:31Z | |
| dc.date.available | 2021-02-11T16:26:31Z | |
| dc.date.issued | 2010 | * |
| dc.date.submitted | 2019-07-30 20:01:57 | * |
| dc.identifier | 34316 | * |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/50426 | |
| dc.description.abstract | 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. | * |
| dc.language | English | * |
| dc.subject | HF5001-6182 | * |
| dc.subject.classification | bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy | en_US |
| dc.subject.other | Process Flexibility | * |
| dc.subject.other | Business Process Modeling | * |
| dc.subject.other | Relational Reinforcement Learning | * |
| dc.subject.other | Optimization | * |
| dc.subject.other | Particle Swarm Optimization | * |
| dc.title | Intelligent Business Process Optimization for the Service Industry | * |
| dc.type | book | |
| oapen.identifier.doi | 10.5445/KSP/1000014466 | * |
| oapen.relation.isPublishedBy | 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 | * |
| oapen.relation.isbn | 9783866444546 | * |
| oapen.pages | 310 p. | * |
| peerreview.review.type | Full text | |
| peerreview.anonymity | All identities known | |
| peerreview.reviewer.type | Internal editor | |
| peerreview.reviewer.type | External peer reviewer | |
| peerreview.review.stage | Pre-publication | |
| peerreview.open.review | No | |
| peerreview.publish.responsibility | Scientific or Editorial Board | |
| peerreview.id | 8ad5c235-9810-49eb-b358-27c8675324d9 | |
| peerreview.title | Dissertations (Dissertationen) |
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