Semantic composition of optimal process service plans in manufacturing with ODERU
International Journal of Web Information Systems
ISSN: 1744-0084
Article publication date: 27 November 2018
Issue publication date: 3 December 2018
Abstract
Purpose
The need to flexibly react to changing demands and to cost-efficiently manage customized production even for lot size of one requires a dynamic and holistic integration of service-based processes within and across enterprises of the value chain. In this context, this paper aims at presenting ODERU, the authors’ novel pragmatic approach for automatically implementing service-based manufacturing processes at design and runtime within a cloud-based elastic manufacturing platform.
Design/methodology/approach
ODERU relies on a set of semantic annotations of business process models encoded into an extension of the business process model and notation (BPMN) 2.0 standard. Leveraging the paradigms of semantic SOA and XaaS, ODERU integrates pattern-based semantic composition of process service plans with QoS-based optimization based on multi-objective constraint optimization problem solving.
Findings
The successful validation of ODERU in two industrial use cases for maintenance process optimization and automotive production in the European project CREMA revealed its usefulness for service-based process optimization in general and for significant cost reductions in maintenance in particular.
Originality/value
ODERU provides a pragmatic and flexible solution to optimal service composition with the following three main advantages: full integration of semantic service selection and composition with QoS-based optimization; executability of the generated optimal process service plans by an execution environment as they include service assignments, data flow (variable bindings) and optimal variable assignments; and support of fast replanning in a single model and plan.
Keywords
Acknowledgements
This work was partially financed by the European Commission H2020 project CREMA (www.crema-project.eu), under the agreement 637066 and the German Federal Ministry of Education and Research (BMBF) in the project INVERSIV.
Luca Mazzola and Patrick Kapahnke worked at DFKI (German Research Center for Artificial Intelligence) during the ideation and development of the ODERU software solution.
Citation
Mazzola, L., Kapahnke, P. and Klusch, M. (2018), "Semantic composition of optimal process service plans in manufacturing with ODERU", International Journal of Web Information Systems, Vol. 14 No. 4, pp. 495-523. https://doi.org/10.1108/IJWIS-05-2018-0038
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited