Semantic composition of optimal process service plans in manufacturing with ODERU. Issue 4 (27th November 2018)

• Record Type: Journal Article
• Authors: Mazzola, Luca; Kapahnke, Patrick; Klusch, Matthias
• Is Part Of: International journal of web information systems. Volume 14:Issue 4(2018)
• Page Start: 495
• Page End: 523
• Publication Date: 2018-11-27
• Subjects: BPMN -- Industry 4.0 -- Process optimization -- Semantic business process management -- Semantic SOA -- Service orchestration; World Wide Web -- Periodicals; Internet -- Periodicals; Information storage and retrieval systems -- Periodicals; 004.678
• DOI: 10.1108/IJWIS-05-2018-0038
• Languages: English
• ISSNs: 1744-0084

Abstract

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.