A Dynamic Contextual Change Management Application for Real Time Decision-Making Support
| Autor: | Esma Yahia, Widad Es-Soufi, Lionel Roucoules |
|---|---|
| Přispěvatelé: | Laboratoire d’Ingénierie des Systèmes Physiques et Numériques (LISPEN), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), projet FUI Gontrand, Arts et Métiers ParisTech, HESAM Université (HESAM), Paolo Chiabert, Abdelaziz Bouras, Frédéric Noël, José Ríos, TC 5, WG 5.1 |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Decision support system Process management Process patterns Computer science Business process Process (engineering) media_common.quotation_subject 02 engineering and technology Change management Dynamic change propagation Decision making Process patterns Business process Change management (ITSM) 020901 industrial engineering & automation 020204 information systems 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] Quality (business) Change management media_common business.industry Decision rule Informatique Dynamic change propagation 13. Climate action New product development business Decision making |
| Zdroj: | Product Lifecycle Management to Support Industry 4.0 ISBN: 9783030016135 PLM 19th working conference of the IFIP Working Group 7.5 on Reliability and Optimization of Structural Systems (IFIP 2018) 19th working conference of the IFIP Working Group 7.5 on Reliability and Optimization of Structural Systems (IFIP 2018), Jun 2018, ETH Zurich, Switzerland. pp.NO IDEA IFIP Advances in Information and Communication Technology 15th IFIP International Conference on Product Lifecycle Management (PLM) 15th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2018, Turin, Italy. pp.759-767, ⟨10.1007/978-3-030-01614-2_69⟩ |
| DOI: | 10.1007/978-3-030-01614-2_69 |
| Popis: | Part 12: Modular Design and Products and Configuration and Change Management; International audience; Decision making is a fundamental process within organizations for many reasons. It is indeed involved at all levels (new product decisions, management and marketing decisions, etc.) and has a direct impact on companies’ efficiency and effectiveness. Many researches are conducted to enhance the decision-making process by proposing decision support systems where the most frequent challenge is the change management. Indeed, all businesses operate within an environment that is subject to constant changes (like new customers’ needs and requirements, organisational and technological changes, changes in key information used to derive decisions, etc.). These changes have a major impact on the quality and accuracy of the proposed decision if they are not detected and propagated, at the right time, during the decision-making process. The present work attempts to resolve this challenge by proposing a dynamic change management technique that allows three tasks to be automatically performed. First, continuously detect changes and note them. Second, retrieve from the detected changes those that are related to the decision rules. Finally, propagate them by computing the new value of the decision rule. The proposal has been fully implemented and tested in the supervision process of gas network exploitation. |
| Databáze: | OpenAIRE |
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