Integrated On-demand Modeling for Configuration of Trusted ICT Supply Chains
Enterprise, Business-Process and Information Systems Modeling: 21st International Conference, BPMDS 2020; 25th International Conference, EMMSAD 2020: held at CAiSE 2020: Proceedings. Lecture Notes in Business Information Processing. Vol.387 2020
Jānis Grabis

Digital enterprises and their networks increasingly rely on advanced decision-making capabilities, however, development of decision-making models requires significant effort and is often performed independently of other digitalization activities. Additionally, dynamic nature of many decision-making problems requires rapid ramp-up of decision-making capabilities. To addresses these challenges, this position paper proposes to elaborate a method for integrated on-demand decision modeling. The method combines mathematical programming and data analytics models to create case specific models on the basis of generic decision-making models. The integrated model and its data supply pipelines are configured using enterprise models allowing for consistent and rapid model deployment. The integrated model is intended for the trusted ICT supply chain configuration problem though it can be used for solving various types of decision-making problems. The main expected results are formulation of the new type decision-making model and the method for on-demand configuration of such models.


Atslēgas vārdi
ICT supply chain, Integrated modeling, On-demand modeling
DOI
10.1007/978-3-030-49418-6_20
Hipersaite
https://link.springer.com/chapter/10.1007%2F978-3-030-49418-6_20

Grabis, J. Integrated On-demand Modeling for Configuration of Trusted ICT Supply Chains. No: Enterprise, Business-Process and Information Systems Modeling: 21st International Conference, BPMDS 2020; 25th International Conference, EMMSAD 2020: held at CAiSE 2020: Proceedings. Lecture Notes in Business Information Processing. Vol.387, Francija, Grenoble, 8.-9. jūnijs, 2020. Cham: Springer Nature Switzerland AG, 2020, 300.-307.lpp. ISBN 978-3-030-49417-9. e-ISBN 978-3-030-49418-6. ISSN 1865-1348. e-ISSN 1865-1356. Pieejams: doi:10.1007/978-3-030-49418-6_20

Publikācijas valoda
English (en)
RTU Zinātniskā bibliotēka.
E-pasts: uzzinas@rtu.lv; Tālr: +371 28399196